AASP-L1.1: EXPLOITING STRUCTURAL RELATIONSHIPS IN AUDIO MUSIC SIGNALS USING MARKOV LOGIC NETWORKS
Helene Papadopoulos, Laboratoire des Signaux et Systemes (L2S), France; George Tzanetakis, University of Victoria, Canada
AASP-L1.2: A DISCRIMINATIVE APPROACH TO POLYPHONIC PIANO NOTE TRANSCRIPTION USING SUPERVISED NON-NEGATIVE MATRIX FACTORIZATION
Felix Weninger, Christian Kirst, Björn Schuller, Hans-Joachim Bungartz, Technische Universität München, Germany
AASP-L1.3: DOES INHARMONICITY IMPROVE AN NMF-BASED PIANO TRANSCRIPTION MODEL?
François Rigaud, Télécom ParisTech, France; Antoine Falaize, IRCAM (Institut de Recherche et Coordination Acoustique/Musique), France; Bertrand David, Télécom ParisTech, France; Laurent Daudet, Paris Diderot University, France
AASP-L1.4: AUTOMATIC MUSIC TRANSCRIPTION USING ROW WEIGHTED DECOMPOSITIONS
Ken O'Hanlon, Mark D. Plumbley, Queen Mary University of London, United Kingdom
AASP-L1.5: UNSUPERVISED TRAINING OF DETECTION THRESHOLD FOR POLYPHONIC MUSICAL NOTE TRACKING BASED ON EVENT PERIODICITY
Tiago Fernandes Tavares, University of Campinas, Brazil; Jayme Garcia Arnal Barbedo, Embrapa Agricultural Informatics, Brazil; Romis Attux, Amauri Lopes, University of Campinas, Brazil
AASP-L1.6: MISSING TEMPLATE ESTIMATION FOR USER-ASSISTED MUSIC TRANSCRIPTION
Holger Kirchhoff, Simon Dixon, Queen Mary University of London, United Kingdom; Anssi Klapuri, Ovelin, Finland
AASP-L2.1: A PSYCHOACOUSTICAL PREPROCESSING TECHNIQUE FOR VIRTUAL BASS ENHANCEMENT OF THE PARAMETRIC LOUDSPEAKER
Chuang Shi, Hao Mu, Woon-Seng Gan, Nanyang Technological University, Singapore
AASP-L2.2: A TIMBRE MATCHING APPROACH TO ENHANCE AUDIO QUALITY OF PSYCHOACOUSTIC BASS ENHANCEMENT SYSTEM
Hao Mu, Woon-Seng Gan, Ee-Leng Tan, Nanyang Technological University, Singapore
AASP-L2.3: AN IDEAL INTEGRATOR FOR HIGHER-ORDER INTEGRATED WAVETABLE SYNTHESIS
Andreas Franck, Fraunhofer Institute for Digital Media Technology (IDMT), Germany; Vesa Valimaki, Aalto University, Finland
AASP-L2.4: EFFICIENT DATA ADAPTION FOR MUSICAL SOURCE SEPARATION METHODS BASED ON PARAMETRIC MODELS
Sebastian Ewert, Queen Mary University of London, United Kingdom; Meinard Mueller, International Audio Laboratories Erlangen, Germany; Mark Sandler, Queen Mary University of London, United Kingdom
AASP-L2.5: USING VOICE SUPPRESSION ALGORITHMS TO IMPROVE BEAT TRACKING IN THE PRESENCE OF HIGHLY PREDOMINANT VOCALS
Jose R. Zapata, Emilia Gómez, Universitat Pompeu Fabra, Spain
AASP-L2.6: MUSIC RECOMMENDATION USING HYPERGRAPHS AND GROUP SPARSITY
Antonis Theodoridis, Constantine Kotropoulos, Yannis Panagakis, Aristotle University of Thessaloniki, Greece
AASP-L3.1: INFORMED SOURCE SEPARATION FROM COMPRESSED MIXTURES USING SPATIAL WIENER FILTER AND QUANTIZATION NOISE ESTIMATION
Shuhua Zhang, Laurent Girin, Grenoble-INP, France; Antoine Liutkus, Institut Mines-Telecom, CNRS LTCI, France
AASP-L3.2: LOW BITRATE INFORMED SOURCE SEPARATION OF REALISTIC MIXTURES
Antoine Liutkus, Roland Badeau, Gaël Richard, Télécom ParisTech, Institut Mines-Telecom, CNRS LTCI, France
AASP-L3.3: SOUND SOURCE SEPARATION BASED ON NON-NEGATIVE TENSOR FACTORIZATION INCORPORATING SPATIAL CUE AS PRIOR KNOWLEDGE
Yuki Mitsufuji, Sony Corporation, Japan; Axel Roebel, IRCAM-CNRS-UPMC UMR 9912, France
AASP-L3.4: VARIATIONAL EM FOR BINAURAL SOUND-SOURCE SEPARATION AND LOCALIZATION
Antoine Deleforge, Florence Forbes, Radu Horaud, INRIA Grenoble Rhône-Alpes, France
AASP-L3.5: UNDERDETERMINED INSTANTANEOUS BLIND SOURCE SEPARATION OF SPARSE SIGNALS WITH TEMPORAL STRUCTURE USING THE STATE-SPACE MODEL
Benxu Liu, Vaninirappuputhenpurayil Gopalan Reju, Andy W.H. Khong, Nanyang Technological University, Singapore
AASP-L3.6: UNSUPERVISED SPATIAL DICTIONARY LEARNING FOR SPARSE UNDERDETERMINED MULTICHANNEL SOURCE SEPARATION
Francesco Nesta, Mahmoud Fakhry, Fondazione Bruno Kessler, Italy
AASP-L4.1: ROBUST BEAMFORMING USING SENSORS WITH NONIDENTICAL DIRECTIVITY PATTERNS
Dovid Levin, Bar-Ilan University, Israel; Emanuel A.P. Habets, International Audio Laboratories Erlangen, Germany; Sharon Gannot, Bar-Ilan University, Israel
AASP-L4.2: NUMERICAL NEAR FIELD OPTIMIZATION OF A NON-UNIFORM SUB-BAND FILTER-AND-SUM BEAMFORMER
Florian Heese, Magnus Schäfer, Jona Wernerus, Peter Vary, RWTH Aachen University, Germany
AASP-L4.3: BINAURAL SOUND REPRODUCTION BEAMFORMING USING SPHERICAL MICROPHONE ARRAYS
Noam Shabtai, Boaz Rafaely, Ben-Gurion University of the Negev, Israel
AASP-L4.4: AUTO-LOCALIZATION IN AD-HOC MICROPHONE ARRAYS
Nikolay Gaubitch, Delft University of Technology, Netherlands; Willem Bastiaan Kleijn, Victoria University of Wellington, New Zealand; Richard Heusdens, Delft University of Technology, Netherlands
AASP-L4.5: AN INTEGRATION OF SOURCE LOCATION CUES FOR SPEECH CLUSTERING IN DISTRIBUTED MICROPHONE ARRAYS
Mehrez Souden, Keisuke Kinoshita, Tomohiro Nakatani, Nippon Telegraph and Telephone Corporation, Japan
AASP-L4.6: DOA-BASED MICROPHONE ARRAY POSITION SELF-CALIBRATION USING CIRCULAR STATISTICS
Florian Jacob, Joerg Schmalenstroeer, Reinhold Haeb-Umbach, University of Paderborn, Germany
AASP-L5.1: JOINT CONSTRAINED MAXIMUM LIKELIHOOD REGRESSION FOR OVERLAPPING SPEECH RECOGNITION
Kenichi Kumatani, Spansion Inc., United States; Rita Singh, Carnegie Mellon University, United States; Friedrich Faubel, Saarland University, Germany; John McDonough, Carnegie Mellon University, United States; Youssef Oualil, Saarland University, Germany
AASP-L5.2: THE SECOND ‘CHIME’ SPEECH SEPARATION AND RECOGNITION CHALLENGE: DATASETS, TASKS AND BASELINES
Emmanuel Vincent, INRIA, France; Jon Barker, University of Sheffield, United Kingdom; Shinji Watanabe, Jonathan Le Roux, Mitsubishi Electric Research Laboratories (MERL), United States; Francesco Nesta, Marco Matassoni, FBK-Irst, Italy
AASP-L5.3: INTEGRATING NOISE ESTIMATION AND FACTORIZATION-BASED SPEECH SEPARATION: A NOVEL HYBRID APPROACH
Cyril Joder, Felix Weninger, Technische Universität München, Germany; David Virette, Huawei European Research Center, Germany; Björn Schuller, Technische Universität München, Germany
AASP-L5.4: LEARNABLE LOW RANK SPARSE MODELS FOR SPEECH DENOISING
Pablo Sprechmann, Duke University, United States; Alex Bronstein, Tel Aviv University, Israel; Michael Bronstein, Università della Svizzera italiana, Switzerland; Guillermo Sapiro, Duke University, United States
AASP-L5.5: UNIVERSAL SPEECH MODELS FOR SPEAKER INDEPENDENT SINGLE CHANNEL SOURCE SEPARATION
Dennis Sun, Stanford University, United States; Gautham Mysore, Adobe, United States
AASP-L5.6: USING DYNAMIC CONDITIONAL RANDOM FIELD ON SINGLE-MICROPHONE SPEECH SEPARATION
Yu Ting Yeung, Tan Lee, The Chinese University of Hong Kong, Hong Kong SAR of China; Cheung-Chi Leung, Agency for Science, Technology and Research, Singapore
AASP-L6.1: A PERCEPTUALLY CONSTRAINED CHANNEL SHORTENING TECHNIQUE FOR SPEECH DEREVERBERATION
Ina Kodrasi, University of Oldenburg, Germany; Stefan Goetze, Fraunhofer Institute for Digital Media Technology (IDMT), Germany; Simon Doclo, University of Oldenburg, Germany
AASP-L6.2: BLIND REVERBERATION TIME ESTIMATION BY INTRINSIC MODELING OF REVERBERANT SPEECH
Ronen Talmon, Yale University, United States; Emanuel A.P. Habets, International Audio Laboratories Erlangen, Germany
AASP-L6.3: NOISE-ROBUST REVERBERATION TIME ESTIMATION USING SPECTRAL DECAY DISTRIBUTIONS WITH REDUCED COMPUTATIONAL COST
James Eaton, Imperial College London, United Kingdom; Nikolay Gaubitch, Signal and Information Processing Lab, Delft University of Technology, Netherlands; Patrick Naylor, Imperial College London, United Kingdom
AASP-L6.4: FINITE-DIFFERENCE TIME DOMAIN METHOD SOURCE CALIBRATION FOR HYBRID ACOUSTICS MODELING
Samuel Siltanen, Alex Southern, Lauri Savioja, Aalto University School of Science, Finland
AASP-L6.5: INTEGRATING FINITE DIFFERENCE SCHEMES FOR SCALAR AND VECTOR WAVE EQUATIONS
Jonathan Botts, Lauri Savioja, Aalto University, Finland
AASP-L6.6: APPROXIMATE CONVOLUTION USING PARTITIONED TRUNCATED SINGULAR VALUE DECOMPOSITION FILTERING
Joshua Atkins, Adam Strauss, Chen Zhang, Beats Electronics, LLC, United States
AASP-P1.1: MODAL ANALYSIS AND TRANSCRIPTION OF STROKES OF THE MRIDANGAM USING NON-NEGATIVE MATRIX FACTORIZATION
Akshay Anantapadmanabhan, Ashwin Bellur, Hema A. Murthy, Indian Institute of Technology Madras, India
AASP-P1.2: GROUP DELAY BASED MELODY MONOPITCH EXTRACTION FROM MUSIC
Rajeev Rajan, Hema A. Murthy, Indian Institute of Technology Madras, India
AASP-P1.3: ROBUST ON-LINE ALGORITHM FOR REAL-TIME AUDIO-TO-SCORE ALIGNMENT BASED ON A DELAYED DECISION AND ANTICIPATION FRAMEWORK
Ryuichi Yamamoto, Shinji Sako, Tadashi Kitamura, Nagoya Institute of Technology, Japan
AASP-P1.4: AUDIO-BASED GUITAR TABLATURE TRANSCRIPTION USING MULTIPITCH ANALYSIS AND PLAYABILITY CONSTRAINTS
Kazuki Yazawa, Daichi Sakaue, Kohei Nagira, Katsutoshi Itoyama, Hiroshi G. Okuno, Kyoto University, Japan
AASP-P1.5: SMC SAMPLERS FOR MULTIRESOLUTION AUDIO SEQUENCE ALIGNMENT
Dogac Basaran, Ali Taylan Cemgil, Emin Anarim, Bogazici University, Turkey
AASP-P1.6: OFF-LINE REFINEMENT OF AUDIO-TO-SCORE ALIGNMENT BY OBSERVATION TEMPLATE ADAPTATION
Cyril Joder, Björn Schuller, Technische Universität München, Germany
AASP-P1.7: INTERACTIVE MULTIMODAL MUSIC TRANSCRIPTION
José M. Iñesta, Carlos Pérez-Sancho, University of Alicante, Spain
AASP-P1.8: STUDENT'S-T MIXTURE MODEL BASED MULTI-INSTRUMENT RECOGNITION IN POLYPHONIC MUSIC
Harshavardhan Sundar, Ranjani H. G., Sreenivas T. V., Indian Institute of Science, India
AASP-P1.9: AN OPEN-SOURCE DRUM TRANSCRIPTION SYSTEM FOR PURE DATA AND MAX MSP
Marius Miron, Matthew E.P. Davies, Fabien Gouyon, Instituto de Engenharia de Sistemas e Computadores do Porto, Portugal
AASP-P1.10: INITIALIZATION-ROBUST BAYESIAN MULTIPITCH ANALYZER BASED ON PSYCHOACOUSTICAL AND MUSICAL CRITERIA
Daichi Sakaue, Takuma Otsuka, Katsutoshi Itoyama, Hiroshi G. Okuno, Kyoto University, Japan
AASP-P1.11: MULTIPLE HYPOTHESES AT MULTIPLE SCALES FOR AUDIO NOVELTY COMPUTATION WITHIN MUSIC
Florian Kaiser, Peeters Geoffroy, STMS IRCAM-CNRS-UPMC, France
AASP-P1.12: CONVEX NON-NEGATIVE MATRIX FACTORIZATION FOR AUTOMATIC MUSIC STRUCTURE IDENTIFICATION
Oriol Nieto, New York University, United States; Tristan Jehan, The Echo Nest, United States
AASP-P1.13: AN EFFECTIVE, SIMPLE TEMPO ESTIMATION METHOD BASED ON SELF-SIMILARITY AND REGULARITY
George Tzanetakis, Graham Percival, University of Victoria, Canada
AASP-P1.14: DUAL-LAYER BAG-OF-FRAMES MODEL FOR MUSIC GENRE CLASSIFICATION
Chin-Chia Yeh, Li Su, Yi-Hsuan Yang, Academia Sinica, Taiwan
AASP-P2.1: ADVANCED SYSTEM OPTIONS FOR BINAURAL RENDERING OF AMBISONIC FORMAT
Gerald Enzner, Michael Weinert, Ruhr-Universität Bochum, Germany; Stefan Abeling, Jan-Mark Batke, Peter Jax, Technicolor Research & Innovation, Germany
AASP-P2.2: KERNEL REGRESSION FOR HEAD-RELATED TRANSFER FUNCTION INTERPOLATION AND SPECTRAL EXTREMA EXTRACTION
Yuancheng Luo, Dmitry N. Zotkin, Hal Daumé III, Ramani Duraiswami, University of Maryland, College Park, United States
AASP-P2.3: GRAPH-BASED MULTI-SENSOR FUSION FOR ACOUSTIC SIGNAL CLASSIFICATION
Umamahesh Srinivas, Pennsylvania State University, United States; Nasser Nasrabadi, U.S. Army Research Laboratory, United States; Vishal Monga, Pennsylvania State University, United States
AASP-P2.4: TIME-SHIFTED PRINCIPAL COMPONENT ANALYSIS BASED CUE EXTRACTION FOR STEREO AUDIO SIGNALS
Jianjun He, Ee-Leng Tan, Woon-Seng Gan, Nanyang Technological University, Singapore
AASP-P2.5: SOUND FIELD REPRODUCTION USING MULTIPLE LINEAR ARRAYS BASED ON WAVE FIELD RECONSTRUCTION FILTERING IN HELICAL WAVE SPECTRUM DOMAIN
Shoichi Koyama, Nippon Telegraph and Telephone Corporation, Japan; Ken'ichi Furuya, Oita University, Japan; Yusuke Hiwasaki, Nippon Telegraph and Telephone Corporation, Japan; Yoichi Haneda, The University of Electro-Communications, Japan; Yoiti Suzuki, Tohoku University, Japan
AASP-P2.6: IMPROVEMENT USING CIRCULAR HARMONICS BEAMFORMING ON REVERBERATION PROBLEM OF WAVE FIELD RECONSTRUCTION FILTERING
Shoichi Koyama, Nippon Telegraph and Telephone Corporation, Japan; Timothy Lee, The University of British Columbia, Canada; Ken'ichi Furuya, Oita University, Japan; Yusuke Hiwasaki, Nippon Telegraph and Telephone Corporation, Japan; Yoichi Haneda, The University of Electro-Communications, Japan
AASP-P2.7: A PSYCHOACOUSTIC-BASED ANALYSIS-BY-SYNTHESIS SCHEME FOR JOINTLY ENCODING MULTIPLE AUDIO OBJECTS INTO INDEPENDENT MIXTURES
Xiguang Zheng, Christian Ritz, Jiangtao Xi, University of Wollongong, Australia
AASP-P2.8: MULTICHANNEL AUDIO SIGNAL COMPRESSION BASED ON TENSOR DECOMPOSITION
Jing Wang, Chundong Xu, Xiang Xie, Jingming Kuang, Beijing Institute of Technology, China
AASP-P2.9: APPLICATION OF PARTICLE FILTERING TO AN INTERAURAL TIME DIFFERENCE BASED HEAD TRACKER FOR CROSSTALK CANCELLATION
Yesenia Lacouture-Parodi, Emanuel A.P. Habets, International Audio Laboratories Erlangen, Germany
AASP-P2.10: DIRECTIONAL CODING OF AUDIO USING A CIRCULAR MICROPHONE ARRAY
Anastasios Alexandridis, FORTH / University of Crete, Greece; Anthony Griffin, FORTH, Greece; Athanasios Mouchtaris, FORTH / University of Crete, Greece
AASP-P2.11: MODELING HEAD-RELATED TRANSFER FUNCTIONS VIA SPATIAL-TEMPORAL GAUSSIAN PROCESS
Tatsuya Komatsu, Nagoya University, Japan; Takanori Nishino, Mie University, Japan; Gareth W. Peters, University College London, United Kingdom; Tomoko Matsui, The Institute of Statistical Mathematics, Japan; Kazuya Takeda, Nagoya University, Japan
AASP-P2.12: 3D SOUNDFIELD REPRODUCTION USING HIGHER ORDER LOUDSPEAKERS
Prasanga Samarasinghe, Australian National University, Australia; Mark Poletti, Industrial Research Limited, New Zealand; Akramus Salehin, Thushara Abhayapala, Australian National University, Australia; Filippo Fazi, University of Southampton, United Kingdom
AASP-P2.13: MULTIZONE SOUNDFIELD REPRODUCTION USING ORTHOGONAL BASIS EXPANSION
Wenyu Jin, Willem Bastiaan Kleijn, Victoria University of Wellington, New Zealand; David Virette, Huawei European Research Center, Germany
AASP-P2.14: EFFECTIVENESS OF HORIZONTAL PERSONAL SOUND SYSTEMS FOR LISTENERS OF VARIABLE HEIGHTS
Nasim Radmanesh, Ian Burnett, RMIT University, Australia
AASP-P3.1: TOWARDS OPTIMAL LOUDSPEAKER PLACEMENT FOR SOUND FIELD REPRODUCTION
Hanieh Khalilian, Ivan V. Bajic, Rodney Vaughan, Simon Fraser University, Canada
AASP-P3.2: LOCALIZATION OF VIRTUAL ACOUSTIC SOURCES BASED ON THE HOUGH TRANSFORM FOR SOUND FIELD RENDERING APPLICATIONS
Lucio Bianchi, Fabio Antonacci, Antonio Canclini, Augusto Sarti, Stefano Tubaro, Politecnico di Milano, Italy
AASP-P3.3: SOME INSIGHTS INTO FARFIELD WIDEBAND BEAMFORMERS IN THE PRESENCE OF MICROPHONE MISMATCHES
Yu Bao, Huawei Chen, Nanjing University of Aeronautics and Astronautics, China
AASP-P3.4: IMPROVED TRACKING PERFORMANCE FOR DISTRIBUTED NODE-SPECIFIC SIGNAL ENHANCEMENT IN WIRELESS ACOUSTIC SENSOR NETWORKS
Joseph Szurley, Alexander Bertrand, Marc Moonen, Katholieke Universiteit Leuven, Belgium
AASP-P3.5: DESIGN OF A TIME-DOMAIN ACOUSTIC CONTRAST CONTROL FOR BROADBAND INPUT SIGNALS IN PERSONAL AUDIO SYSTEMS
Yefeng Cai, Ming Wu, Jun Yang, Institute of Acoustics, Chinese Academy of Sciences, China
AASP-P3.6: DIRECTION OF ARRIVAL ESTIMATION FOR SPHERICAL MICROPHONE ARRAYS BY COMBINATION OF INDEPENDENT COMPONENT ANALYSIS AND SPARSE RECOVERY
Tahereh Noohi, Nicolas Epain, Craig Jin, The University of Sydney, Australia
AASP-P3.7: SUPER-RESOLUTION SOUND FIELD IMAGING WITH SUB-SPACE PRE-PROCESSING
Nicolas Epain, Craig Jin, The University of Sydney, Australia
AASP-P3.8: FAST AND RELIABLE TDOA ASSIGNMENT IN MULTI-SOURCE REVERBERANT ENVIRONMENTS
Martin Kreißig, Bin Yang, University of Stuttgart, Germany
AASP-P3.9: ERROR ANALYSIS OF SPHERICAL HARMONIC SOUNDFIELD REPRESENTATIONS IN TERMS OF TRUNCATION AND ALIASING ERRORS
Stefanie Brown, Deep Sen, The University of New South Wales, Australia
AASP-P3.10: SPEAKER LOCALIZATION AND TRACKING IN THE PRESENCE OF SOUND INTERFERENCE BY EXPLOITING SPEECH HARMONICITY
Kai Wu, Shu Ting Goh, Andy W.H. Khong, Nanyang Technological University, Singapore
AASP-P3.11: SPHERICAL LOUDSPEAKER ARRAY BEAMFORMING IN ENCLOSED SOUND FIELDS BY MIMO OPTIMIZATION
Hai Morgenstern, Boaz Rafaely, Ben-Gurion University of the Negev, Israel
AASP-P3.12: WIRELESS COMMUNICATION INTEGRATED ACTIVE NOISE CONTROL SYSTEM FOR INFANT INCUBATORS
Lichuan Liu, Sen Kuo, Northern Illinois University, United States
AASP-P3.13: STABILITY OF RESIDUAL ACOUSTIC NOISE VARIANCE IN ACTIVE CONTROL OF STOCHASTIC NOISE
Iman Tabatabaei Ardekani, Waleed Abdulla, The University of Auckland, New Zealand
AASP-P3.14: ADAPTIVE FEEDBACK ANC SYSTEM USING VIRTUAL MICROPHONES
Nobuhiro Miyazaki, Yoshinobu Kajikawa, Kansai University, Japan
AASP-P4.1: A COMPUTATIONAL MODEL FOR THE ESTIMATION OF LOCALISATION UNCERTAINTY
Enzo De Sena, Zoran Cvetkovic, King's College London, United Kingdom
AASP-P4.2: DERIVATIVE-FREE OPTIMIZATION OF HEARING AID PARAMETERS
Shu-Hsien Chu, Mingyi Hong, Zhi-Quan Luo, University of Minnesota, United States; Kelly Fitz, Martin McKinney, Tao Zhang, Starkey Hearing Technologies, United States
AASP-P4.3: EFFICIENT INDIVIDUALIZATION OF HEARING AID PROCESSED SOUND
Jens Brehm Nielsen, Jakob Nielsen, Widex A/S, Denmark
AASP-P4.4: STRUCTURAL SIMILARITY ANALYSIS OF MODULATION FOR AUDIO QUALITY ASSESSMENT
Mengyao Zhu, Jia Zheng, Shanghai University, China; Craig Jin, University of Sydney, Australia; Wanggen Wan, Shanghai University, China
AASP-P4.5: SELECTION OF TEMPORAL WINDOWS FOR THE COMPUTATIONAL PREDICTION OF MASKING THRESHOLDS
Khan Baykaner, Christopher Hummersone, Russell Mason, University of Surrey, United Kingdom; Søren Bech, Bang & Olufsen, United Kingdom
AASP-P4.6: IMPROVED ONLINE IDENTIFICATION OF ACOUSTIC MISO SYSTEMS BASED ON SEPARATED INPUT SIGNAL COMPONENTS
Philipp Thüne, Gerald Enzner, Ruhr-Universität Bochum, Germany
AASP-P4.7: A MULTICHANNEL TIME-DOMAIN SUBSPACE APPROACH EXPLOITING MULTIPLE TIME-DELAYS FOR ACOUSTIC CHANNEL EQUALIZATION
Rashobh Rajan Sobhana, Andy W.H. Khong, Nanyang Technological University, Singapore
AASP-P4.8: ACOUSTIC DISTANCE MEASUREMENT BASED ON PHASE INTERFERENCE USING THE CROSS-SPECTRAL METHOD WITH ADJACENT MICROPHONES
Masato Nakayama, Ritsumeikan University, Japan; Kazuhiro Suzuki, Noboru Nakasako, Kinki University, Japan
AASP-P4.9: ALGORITHMS TO IMPROVE LISTENING IN NOISE FOR COCHLEAR IMPLANT USERS
Adam Hersbach, University of Melbourne, Australia; Stefan Mauger, Cochlear Ltd, Australia; David Grayden, University of Melbourne, Australia; James Fallon, Hugh McDermott, Bionics Institute, Australia
AASP-P4.10: PERTURBATION OF ROOM IMPULSE RESPONSES AND ITS APPLICATION IN ROBUST LISTENING ROOM COMPENSATION
Jan Ole Jungmann, Radoslaw Mazur, Alfred Mertins, University of Luebeck, Germany
AASP-P4.11: SOUND SOURCE LOCALIZATION WITH BINAURAL HEARING AIDS USING ADAPTIVE BLIND CHANNEL IDENTIFICATION
Ivo Merks, Gerald Enzner, Tao Zhang, Starkey Hearing Technologies, United States
AASP-P4.12: BLIND ESTIMATION OF REVERBERATION TIME BASED ON SPECTRO-TEMPORAL MODULATION FILTERING
Feifei Xiong, Stefan Goetze, Fraunhofer Institute for Digital Media Technology (IDMT), Germany; Bernd T. Meyer, University of Oldenburg, Germany
AASP-P4.13: A STATISTICAL APPROACH TO REVERBERATION IN NON-DIFFUSIVE RECTANGULAR ROOMS BASED ON THE IMAGE SOURCE MODEL
Albino Nogueiras, Universitat Politècnica de Catalunya, Spain; Jordi Colom, SOLTEC, Spain
AASP-P5.1: ACOUSTIC GEO-SENSING: RECOGNISING CYCLISTS’ ROUTE, ROUTE DIRECTION, AND ROUTE PROGRESS FROM CELL-PHONE AUDIO
Björn Schuller, Florian Pokorny, Stefan Ladstätter, Maria Fellner, Franz Graf, Lucas Paletta, Joanneum Research, Austria
AASP-P5.2: GAIT-BASED PERSON IDENTIFICATION BY SPECTRAL, CEPSTRAL AND ENERGY-RELATED AUDIO FEATURES
Jürgen T. Geiger, Martin Hofmann, Björn Schuller, Gerhard Rigoll, Technische Universität München, Germany
AASP-P5.3: INFINITE KERNEL LINEAR PREDICTION FOR JOINT ESTIMATION OF SPECTRAL ENVELOPE AND FUNDAMENTAL FREQUENCY
Kazuyoshi Yoshii, Masataka Goto, National Institute of Advanced Industrial Science and Technology, Japan
AASP-P5.4: IMPROVED MULTIPLE BIRDSONG TRACKING WITH DISTRIBUTION DERIVATIVE METHOD AND MARKOV RENEWAL PROCESS CLUSTERING
Dan Stowell, Queen Mary University of London, United Kingdom; Sašo Muševic, Jordi Bonada, Universitat Pompeu Fabra, Spain; Mark D. Plumbley, Queen Mary University of London, United Kingdom
AASP-P5.5: POSITION ESTIMATION USING A MICROPHONE AND STEREO LOUDSPEAKER WITH AN AUDIO-EMBEDDED HIDDEN TIME SYNCHRONIZATION SIGNAL
TaeJin Park, Kyeong Ok Kang, Electronics and Telecommunications Research Institute, Republic of Korea
AASP-P5.6: TRAFFIC DENSITY STATE ESTIMATION BASED ON ACOUSTIC FUSION
Vikas Joshi, Nithya Rajamani, Naveen Prathapaneni, Venkata L Subramaniam, IBM Research - India, India
AASP-P5.7: REAL-LIFE VOICE ACTIVITY DETECTION WITH LSTM RECURRENT NEURAL NETWORKS AND AN APPLICATION TO HOLLYWOOD MOVIES
Florian Eyben, Felix Weninger, Technische Universität München, Germany; Stefano Squartini, Università Politecnica delle Marche, Italy; Björn Schuller, Technische Universität München, Germany
AASP-P5.8: DERIVATIVE ANALYSIS OF COMPLEX POLYNOMIAL AMPLITUDE, COMPLEX EXPONENTIAL WITH EXPONENTIAL DAMPING
Sašo Muševic, Jordi Bonada, Universitat Pompeu Fabra, Spain
AASP-P5.9: AUTOMATIC ACOUSTIC SIREN DETECTION IN TRAFFIC NOISE BY PART-BASED MODELS
Jens Schröder, Stefan Goetze, Fraunhofer Institute for Digital Media Technology (IDMT), Germany; Volker Grützmacher, Adam Opel AG, Germany; Jörn Anemüller, University of Oldenburg, Germany
AASP-P5.10: THE ERBLET TRANSFORM: AN AUDITORY-BASED TIME-FREQUENCY REPRESENTATION WITH PERFECT RECONSTRUCTION
Thibaud Necciari, Peter Balazs, Nicki Holighaus, Peter Lempel Søndergaard, Acoustics Research Institute, Austrian Academy of Sciences, Austria
AASP-P5.11: DETERMINING CO-LOCATION USING A SEQUENTIAL HYPOTHESIS TEST ON PATTERNS OF SILENCE
Wai-Tian Tan, Ramin Samadani, Bowon Lee, Mary Baker, Hewlett-Packard, United States
AASP-P5.12: CLASSIFICATION OF SPEECH UNDER STRESS AND COGNITIVE LOAD IN USAR OPERATIONS
Marcela Charfuelan, Geert-Jan Kruijff, DFKI, Germany
AASP-P5.13: IMPROVING EFFICIENCY AND RELIABILITY OF GUNSHOT DETECTION SYSTEMS
Talal Ahmed, Momin Uppal, Abubakr Muhammad, LUMS - Lahore University of Management Sciences, Pakistan
AASP-P6.1: CHEAP BEEPS - EFFICIENT SYNTHESIS OF SINUSOIDS AND SWEEPS IN THE MDCT DOMAIN
Sascha Disch, Benjamin Schubert, Fraunhofer Institut Integrierte Schaltungen, Germany; Bernd Edler, International Audio Laboratories Erlangen, Germany
AASP-P6.2: A NEW BANDWIDTH EXTENSION TECHNOLOGY FOR MPEG UNIFIED SPEECH AND AUDIO CODING
Yuki Yamamoto, Toru Chinen, Masayuki Nishiguchi, Sony Corporation, Japan
AASP-P6.3: G.722 ANNEX D AND G.711.1 ANNEX F - NEW ITU-T STEREO CODECS
David Virette, Yue Lang, Lei Miao, Wenhai Wu, Huawei Technologies, Germany; Balàzs Kövesi, Claude Lamblin, Stéphane Ragot, France Telecom Orange, France
AASP-P6.4: A NOVEL SCALABLE AUDIO CODING SCHEME
Huan Zhou, Haiyan Shu, Rongshan Yu, Haibin Huang, Susanto Rahardja, Institute for Infocomm Research, Singapore
AASP-P6.5: IMPROVED ARITHMETIC CODING FOR TIME-WARPED MDCT BASED AUDIO CODING
Stefan Bayer, Bernd Edler, International Audio Laboratories Erlangen, Germany
AASP-P6.6: SPECTRAL ENVELOPE ESTIMATION USED FOR AUDIO BANDWIDTH EXTENSION BASED ON RBF NEURAL NETWORK
Hao-jie Liu, Chang-chun Bao, Xin Liu, Beijing University of Technology, China
AASP-P6.7: AN EXPANDED MID/SIDE CODING FOR 3D AUDIO SIGNAL COMPRESSION
Shi Dong, Ruimin Hu, Xiaochen Wang, Weiping Tu, Xiang Zheng, Wuhan University, China
AASP-P6.8: AUDIO LOSSLESS CODING/DECODING METHOD USING BASIS PURSUIT ALGORITHM
Wenxin He, Tianshu Qu, Peking University, China
AASP-P6.9: PARAMETRIC STEREO CODING SCHEME WITH A NEW DOWNMIX METHOD AND WHOLE BAND INTER CHANNEL TIME/PHASE DIFFERENCES
Wenhai Wu, Lei Miao, Yue Lang, David Virette, Huawei Technologies, China
AASP-P6.10: MULTICHANNEL OBJECT-BASED AUDIO CODING WITH CONTROLLABLE QUALITY
Stanislaw Gorlow, University of Bordeaux, France; Emanuel A.P. Habets, University of Erlangen-Nuremberg, Germany; Sylvain Marchand, University of Brest, France
AASP-P6.11: A MDCT BASED HARMONIC SPECTRAL BANDWIDTH EXTENSION METHOD
Christian Neukam, Frederik Nagel, Fraunhofer Institute for Integrated Circuits, Germany; Gerald Schuller, Michael Schnabel, Ilmenau University of Technology, Germany
AASP-P6.12: PARAMETRIC DECOMPOSITION OF THE SPECTRAL ENVELOPE
Anderson Fraiha Machado, University of São Paulo, Brazil; Antonio Bonafonte, Universitat Politècnica de Catalunya, Spain; Marcelo Queiroz, University of São Paulo, Brazil
AASP-P6.13: SINUSOIDAL COMPONENT SELECTION BASED ON PARTIAL LOUDNESS CRITERIA
Harish Krishnamoorthi, Andreas Spanias, Arizona State University, United States
AASP-P7.1: STUDY OF THE OPTIMAL AND SIMPLIFIED KALMAN FILTERS FOR ECHO CANCELLATION
Constantin Paleologu, University Politehnica of Bucharest, Romania; Jacob Benesty, University of Quebec, Canada; Silviu Ciochina, University Politehnica of Bucharest, Romania
AASP-P7.2: INTERMITTENTLY-UPDATED AFFINE PROJECTION ALGORITHM
Felix Albu, Marius Rotaru, Valahia University of Targoviste, Romania; Reza Arablouei, Kutluyil Dogançay, University of South Australia, Australia
AASP-P7.3: ANALYSIS OF CLOSED-LOOP ACOUSTIC FEEDBACK CANCELLATION SYSTEMS
Meng Guo, Søren Holdt Jensen, Aalborg University, Denmark; Jesper Jensen, Oticon A/S, Denmark; Steven L. Grant, Missouri University of Science and Technology, United States
AASP-P7.4: VARIATIONALLY DIAGONALIZED MULTICHANNEL STATE-SPACE FREQUENCY-DOMAIN ADAPTIVE FILTERING FOR ACOUSTIC ECHO CANCELLATION
Sarmad Malik, Jacob Benesty, INRS-EMT, University of Quebec, Canada
AASP-P7.5: MULTICHANNEL ACOUSTIC ECHO SUPPRESSION
Karim Helwani, Telekom Innovation Laboratories, Technische Universität Berlin, Germany; Herbert Buchner, Technische Universität Berlin, Germany; Jacob Benesty, University of Quebec, Canada; Jingdong Chen, Northwestern Polytechnical University, China
AASP-P7.6: WAVE-DOMAIN LOUDSPEAKER SIGNAL DECORRELATION FOR SYSTEM IDENTIFICATION IN MULTICHANNEL AUDIO REPRODUCTION SCENARIOS
Martin Schneider, Christian Huemmer, Walter Kellermann, University of Erlangen-Nuremberg, Germany
AASP-P7.7: NONLINEAR ACOUSTIC ECHO CANCELLATION USING FEEDBACK
Pratik Shah, Missouri University of Science and Technology, United States; Ian Lewis, Research In Motion Ltd., Canada; Steven L. Grant, Missouri University of Science and Technology, United States; Sylvain Angrignon, Research In Motion Ltd., Canada
AASP-P7.8: A STUDY OF THE MVDR FILTER FOR ACOUSTIC ECHO SUPPRESSION
Hai Huang, Northwestern Polytechnical University, China; Jacob Benesty, INRS-EMT, University of Quebec, Canada; Jingdong Chen, Northwestern Polytechnical University, China; Karim Helwani, Telekom Innovation Laboratories, Germany; Herbert Buchner, Technische Universität Berlin, Germany
AASP-P7.9: ACTIVE ACOUSTIC ECHO CANCELLATION IN SPATIAL SOUNDFIELD REPRODUCTION
Dumidu Talagala, Wen Zhang, Thushara Abhayapala, Australian National University, Australia
AASP-P7.10: ADAPTIVE FILTERING EXPLOITING BAND-LIMITED PROPERTY OF SOUND FIELD IN THE WAVE DOMAIN
Satoru Emura, Yusuke Hiwasaki, Hitoshi Ohmuro, Nippon Telegraph and Telephone Corporation, Japan
AASP-P7.11: ON THE EIGENSPACE ESTIMATION FOR SUPERVISED MULTICHANNEL SYSTEM IDENTIFICATION
Karim Helwani, Telekom Innovation Laboratories, Technische Universität Berlin, Germany; Herbert Buchner, Technische Universität Berlin, Germany
AASP-P7.12: ON THE PERFORMANCE OF THE ROBUST ACOUSTIC ECHO CANCELLATION SYSTEM WITH DECORRELATION BY SUB-BAND RESAMPLING
Jason Wung, Ted Wada, Biing-Hwang (Fred) Juang, Georgia Institute of Technology, United States
AASP-P7.13: SPEECH DEREVERBERATION BASED ON LINEAR PREDICTION: AN ACOUSTIC VECTOR SENSOR APPROACH
Muawiyath Shujau, Christian Ritz, University of Wollongong, Australia; Ian Burnett, RMIT University, Australia
AASP-P7.14: A DIRECTIONAL DIFFUSE REVERBERATION MODEL FOR EXCAVATED TUNNELS IN ROCK
Sami Oksanen, Julian Parker, Archontis Politis, Vesa Valimaki, Aalto University, Finland
AASP-P8.1: A SUPER-RESOLUTION BEAMFORMING ALGORITHM FOR SPHERICAL MICROPHONE ARRAYS USING A COMPRESSED SENSING APPROACH
Ping Kun Tony Wu, Nicolas Epain, Craig Jin, University of Sydney, Australia
AASP-P8.2: SPHERICAL HARMONIC DOMAIN NOISE REDUCTION USING AN MVDR BEAMFORMER AND DOA-BASED SECOND-ORDER STATISTICS ESTIMATION
Daniel P. Jarrett, Imperial College London, United Kingdom; Emanuel A.P. Habets, International Audio Laboratories Erlangen, Germany; Patrick Naylor, Imperial College London, United Kingdom
AASP-P8.3: AN INFORMED LCMV FILTER BASED ON MULTIPLE INSTANTANEOUS DIRECTION-OF-ARRIVAL ESTIMATES
Oliver Thiergart, Emanuel A.P. Habets, University of Erlangen-Nuremberg, Germany
AASP-P8.4: MMSE-BASED SOURCE EXTRACTION USING POSITION-BASED POSTERIOR PROBABILITIES
Maja Taseska, Emanuel A.P. Habets, International Audio Laboratories Erlangen, Germany
AASP-P8.6: AN INFORMED SPATIAL FILTER FOR DEREVERBERATION IN THE SPHERICAL HARMONIC DOMAIN
Sebastian Braun, International Audio Laboratories Erlangen, Germany; Daniel P. Jarrett, Imperial College London, United Kingdom; Johannes Fischer, Emanuel A.P. Habets, International Audio Laboratories Erlangen, Germany
AASP-P8.7: BLIND COMPENSATION OF INTER-CHANNEL SAMPLING FREQUENCY MISMATCH WITH MAXIMUM LIKELIHOOD ESTIMATION IN STFT DOMAIN
Shigeki Miyabe, University of Tsukuba, Japan; Nobutaka Ono, National Institute of Informatics, Japan; Shoji Makino, University of Tsukuba, Japan
AASP-P8.8: NOISE REDUCTION IN DUAL-MICROPHONE MOBILE PHONES USING A BANK OF PRE-MEASURED TARGET-CANCELLATION FILTERS
Zbynek Koldovsky, Technical University of Liberec, Czech Republic; Petr Tichavsky, Institute of Information Theory and Automation, Czech Republic; David Botka, Technical University of Liberec, Czech Republic
AASP-P8.9: SPATIAL AND COHERENCE CUES BASED TIME-FREQUENCY MASKING FOR BINAURAL REVERBERANT SPEECH SEPARATION
Atiyeh Alinaghi, Wenwu Wang, Philip JB Jackson, Centre for Vision, Speech and Signal Processing (CVSSP), United Kingdom
AASP-P8.10: ROBUST LOW-COMPLEXITY MULTICHANNEL EQUALIZATION FOR DEREVERBERATION
Felicia Lim, Patrick Naylor, Imperial College London, United Kingdom
AASP-P8.11: TOOTH MATERIALS MONITORING SCHEME FOR DENTAL OPERATIONS USING CUTTING SOUNDS
Vahid Zakeri, Siamak Arzanpour, Simon Fraser University, Canada; Babak Chehroudi, University of British Columbia, Canada
AASP-P8.12: AUTOMATIC CLASSIFICATION OF BREATHING SOUNDS DURING SLEEP
Brian Snider, Oregon Health & Science University, United States; Alexander Kain, BioSpeech, Inc., United States
AASP-P8.13: SHANNON ENTROPY BASED ON THE S-TRANSFORM SPECTROGRAM APPLIED ON THE CLASSIFICATION OF HEART SOUNDS
Ali Moukadem, Alain Dieterlen, University of Haute Alsace, France; Christian Brandt, University Hospital of Strasbourg, France
AASP-P8.14: INVESTIGATING THE SPEECH CHARACTERISTICS OF SUICIDAL ADOLESCENTS
Stefan Scherer, University of Southern California, United States; John Pestian, Cincinnati Children's Hospital Medical Center, United States; Louis-Philippe Morency, University of Southern California, United States
AASP-P9.1: EFFICIENT DATABASE PRUNING FOR LARGE-SCALE COVER SONG RECOGNITION
Julien Osmalskyj, Sébastien Piérard, Marc Van Droogenbroeck, Jean-Jacques Embrechts, University of Liège, Belgium
AASP-P9.2: MODELLING DRUM PATTERNS WITH WEIGHTED FINITE-STATE TRANSDUCERS
Stephan Hübler, Rüdiger Hoffmann, Technische Universität Dresden, Germany
AASP-P9.3: PERCEPTUAL HEADPHONE EQUALIZATION FOR MITIGATION OF AMBIENT NOISE
Jussi Ramo, Vesa Valimaki, Aalto University School of Electrical Engineering, Finland; Miikka Tikander, Nokia, Finland
AASP-P9.4: AN IMPROVED VIRTUAL ANALOG MODEL OF THE MOOG LADDER FILTER
Stefano D'Angelo, Vesa Välimäki, Aalto University School of Electrical Engineering, Finland
AASP-P9.5: SINGING VOICE TIMBRE CLASSIFICATION OF CHINESE POPULAR MUSIC
Cheng-Ya Sha, National Taiwan University, Taiwan; Yi-Hsuan Yang, Academia Sinica, Taiwan; Yu-Ching Lin, KKBOX, Taiwan; Homer H. Chen, National Taiwan University, Taiwan
AASP-P9.6: IDENTIFICATION OF COVER SONGS USING INFORMATION THEORETIC MEASURES OF SIMILARITY
Peter Foster, Simon Dixon, Queen Mary University of London, United Kingdom; Anssi Klapuri, Ovelin, Finland
AASP-P9.7: FUNDAMENTAL FREQUENCY ALIGNMENT VS. NOTE-BASED MELODIC SIMILARITY FOR SINGING VOICE ASSESSMENT
Emilio Molina, Isabel Barbancho, Universidad de Málaga, Spain; Emilia Gómez, Universitat Pompeu Fabra, Spain; Ana María Barbancho, Lorenzo J. Tardón, Universidad de Málaga, Spain
AASP-P9.8: EVALUATING AUTOMATICALLY ESTIMATED CHORD SEQUENCES
Johan Pauwels, Geoffroy Peeters, STMS IRCAM-CNRS-UPMC, France
AASP-P9.9: SINGLE HYDROPHONE PASSIVE ACOUSTIC SPERM WHALE RANGE AND DEPTH ESTIMATION
Hannan Lohrasbipeydeh, Saeed Mosayyebpour, T. Aaron Gulliver, University of Victoria, Canada
AASP-P9.10: METHODS FOR CLASSIFICATION OF NOCTURNAL MIGRATORY BIRD VOCALIZATIONS USING PSEUDO WIGNER-VILLE TRANSFORM
Anand Patti, Geoffrey Williamson, Illinois Institute of Technology, United States
AASP-P9.11: A SPARSE REPRESENTATION-BASED CLASSIFIER FOR IN-SET BIRD PHRASE VERIFICATION AND CLASSIFICATION WITH LIMITED TRAINING DATA
Lee Ngee Tan, George Kossan, Martin Cody, Charles Taylor, Abeer Alwan, University of California, Los Angeles, United States
AASP-P9.12: A ROBUST AUTOMATIC BIRD PHRASE CLASSIFIER USING DYNAMIC TIME-WARPING WITH PROMINENT REGION IDENTIFICATION
Kantapon Kaewtip, Lee Ngee Tan, Abeer Alwan, Charles Taylor, University of California, Los Angeles, United States
AASP-P9.13: BIRD PHRASE SEGMENTATION BY ENTROPY-DRIVEN CHANGE POINT DETECTION
Ni-Chun Wang, Ralph Hudson, Lee Ngee Tan, Charles Taylor, Abeer Alwan, Kung Yao, University of California, Los Angeles, United States
AASP-P10.1: N-GRAM EXTENSION FOR BAG-OF-AUDIO-WORDS
Stephanie Pancoast, Stanford University / SRI International, United States; Murat Akbacak, Microsoft Corporation, United States
AASP-P10.2: SEGMENTATION-BY-CLASSIFICATION SYSTEM BASED ON FACTOR ANALYSIS
Diego Castan, Alfonso Ortega, Jesús Villalba, Antonio Miguel, Eduardo Lleida, University of Zaragoza, Spain
AASP-P10.3: SLEEPINESS DETECTION FROM SPEECH BY PERCEPTUAL FEATURES
Bilge Gunsel, Cenk Sezgin, Istanbul Technical University, Turkey; Jarek Krajewski, University of Wuppertal, Germany
AASP-P10.4: WATER SOUND RECOGNITION BASED ON PHYSICAL MODELS
Patrice Guyot, Julien Pinquier, Régine André-Obrecht, Institut de Recherche en Informatique de Toulouse, France
AASP-P10.5: ON-LINE GENRE CLASSIFICATION OF TV PROGRAMS USING AUDIO CONTENT
Samuel Kim, Yonsei University, Republic of Korea; Panayiotis Georgiou, Shrikanth Narayanan, University of Southern California, United States
AASP-P10.6: TEMPORAL CODING OF LOCAL SPECTROGRAM FEATURES FOR ROBUST SOUND RECOGNITION
Jonathan Dennis, Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore; Qiang Yu, National University of Singapore, Singapore; Huajin Tang, Huy Dat Tran, Haizhou Li, Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore
AASP-P10.7: KERNEL DISCRIMINANT ANALYSIS FOR ENVIRONMENTAL SOUND RECOGNITION BASED ON ACOUSTIC SUBSPACE
Jiaxing Ye, Takumi Kobayashi, Masahiro Murakawa, Tetsuya Higuchi, National Institute of Advanced Industrial Science and Technology, Japan
AASP-P10.8: ANALYSIS OF ACOUSTIC-SEMANTIC RELATIONSHIP FOR DIVERSELY ANNOTATED REAL-WORLD AUDIO DATA
Annamaria Mesaros, Aalto University, Finland; Toni Heittola, Tampere University of Technology, Finland; Kalle Palomäki, Aalto University, Finland
AASP-P10.9: AUDIOPRINT: AN EFFICIENT AUDIO FINGERPRINT SYSTEM BASED ON A NOVEL COST-LESS SYNCHRONIZATION SCHEME
Mathieu Ramona, Geoffroy Peeters, IRCAM, France
AASP-P10.10: PERCEPTUALLY MOTIVATED TEMPORAL MODELING OF FOOTSTEPS IN A CROSS-ENVIRONMENTAL DETECTION TASK
M Umair Bin Altaf, Taras Butko, Biing-Hwang (Fred) Juang, Georgia Institute of Technology, United States
AASP-P10.11: TASK-DRIVEN ATTENTIONAL MECHANISMS FOR AUDITORY SCENE RECOGNITION
Kailash Patil, Mounya Elhilali, Johns Hopkins University, United States
AASP-P10.12: UNSUPERVISED HIERARCHICAL STRUCTURE INDUCTION FOR DEEPER SEMANTIC ANALYSIS OF AUDIO
Sourish Chaudhuri, Bhiksha Raj, Language Technologies Institute, United States
AASP-P10.13: TWO-CLASS VERIFIER FRAMEWORK FOR AUDIO INDEXING
V Ramasubramanian, S Thiyagarajan, G Pradnya, Siemens Technology and Services, India; Heiko Claussen, Justinian Rosca, Siemens Corporation, United States
AASP-P10.14: WEIGHTED DOUBLE SIDEBAND MODULATION TOWARD HIGH QUALITY AUDIBLE SOUND ON PARAMETRIC LOUDSPEAKER
Daisuke Ikefuji, Masato Nakayama, Takanobu Nishiura, Yoichi Yamashita, Ritsumeikan University, Japan
AASP-P11.1: ONLINE REPET-SIM FOR REAL-TIME SPEECH ENHANCEMENT
Zafar Rafii, Bryan Pardo, Northwestern University, United States
AASP-P11.2: DENOISING DEEP NEURAL NETWORKS BASED VOICE ACTIVITY DETECTION
Xiao-Lei Zhang, Ji Wu, Tsinghua University, China
AASP-P11.3: A COMPARATIVE STUDY ON SPARSITY PENALTIES FOR NMF-BASED SPEECH SEPARATION: BEYOND LP-NORMS
Cyril Joder, Felix Weninger, Technische Universität München, Germany; David Virette, Huawei European Research Center, Germany; Björn Schuller, Technische Universität München, Germany
AASP-P11.4: USING THE TURBO PRINCIPLE FOR EXPLOITING TEMPORAL AND SPECTRAL CORRELATIONS IN SPEECH PRESENCE PROBABILITY ESTIMATION
Dang Hai Tran Vu, Reinhold Haeb-Umbach, University of Paderborn, Germany
AASP-P11.5: EXEMPLAR-BASED JOINT CHANNEL AND NOISE COMPENSATION
Jort Florent Gemmeke, Katholieke Universiteit Leuven, Belgium; Tuomas Virtanen, Tampere University of Technology, Finland; Kris Demuynck, Ghent University, Belgium
AASP-P11.6: PREDICTION BASED FILTERING AND SMOOTHING TO EXPLOIT TEMPORAL DEPENDENCIES IN NMF
Nasser Mohammadiha, KTH Royal Institute of Technology, Sweden; Paris Smaragdis, University of Illinois at Urbana-Champaign, United States; Arne Leijon, KTH Royal Institute of Technology, Sweden
AASP-P11.7: AUDIO RESTORATION FROM MULTIPLE COPIES
Pablo Sprechmann, Duke University, United States; Alex Bronstein, Tel Aviv University, Israel; Jean Michel Morel, École Normale Supérieure, France; Guillermo Sapiro, Duke University, United States
AASP-P11.8: INTERACTIVE REFINEMENT OF SUPERVISED AND SEMI-SUPERVISED SOUND SOURCE SEPARATION ESTIMATES
Nicholas J. Bryan, Stanford University, United States; Gautham Mysore, Adobe, United States
AASP-P11.9: SCORE INFORMED AUDIO SOURCE SEPARATION USING CONSTRAINED NONNEGATIVE MATRIX FACTORIZATION AND SCORE SYNTHESIS
Joachim Fritsch, University Pierre and Marie Curie, France; Mark D. Plumbley, Queen Mary University of London, United Kingdom
AASP-P11.10: AN EFFICIENT ZERO PHASE NOISE REDUCTION METHOD FOR IMPACT NOISE WITH DAMPED OSCILLATION
Sayuri Kohmura, Arata Kawamura, Youji Iiguni, Graduate School of Engineering Science, Osaka University, Japan, Japan
AASP-P11.11: COLLABORATIVE AUDIO ENHANCEMENT USING PROBABILISTIC LATENT COMPONENT SHARING
Minje Kim, Paris Smaragdis, University of Illinois at Urbana-Champaign, United States
AASP-P11.12: OPTIMIZING COHERENT DEMODULATION FOR IMPROVED SEPARATION OF OVERLAPPING SOURCES
Gregory Sell, University of Maryland, College Park, United States
AASP-P11.13: AN ADAPTIVE TIME-FREQUENCY RESOLUTION FRAMEWORK FOR SINGLE CHANNEL SOURCE SEPARATION BASED ON NON-NEGATIVE TENSOR FACTORIZATION
Serap Kirbiz, Bilge Gunsel, Istanbul Technical University, Turkey
BISP-L1.1: FAST DYNAMIC MAGNETIC RESONANCE IMAGING USING TAGGING RF PULSES
Vimal Singh, Ahmed Tewfik, The University of Texas at Austin, United States
BISP-L1.2: BLIND RESTORATION OF CONFOCAL MICROSCOPY IMAGES IN PRESENCE OF A DEPTH-VARIANT BLUR AND POISSON NOISE
Saima Ben Hadj, Laure Blanc-Féraud, I3S/INRIA/IBV, France; Gilles Aubert, CNRS/University of Nice Sophia Antipolis, France; Gilbert Engler, INRA, France
BISP-L1.3: ORDERED SUBSETS WITH MOMENTUM FOR ACCELERATED X-RAY CT IMAGE RECONSTRUCTION
Donghwan Kim, Sathish Ramani, Jeffrey A. Fessler, The University of Michigan, United States
BISP-L1.4: FOURIER DOMAIN BEAMFORMING FOR MEDICAL ULTRASOUND
Tanya Chernyakova, Yonina C. Eldar, Ron Amit, Technion - Israel Institute of Technology, Israel
BISP-L1.5: ROBUST COMMON CAROTID ARTERY LUMEN DETECTION IN B-MODE ULTRASOUND IMAGES USING LOCAL PHASE SYMMETRY
José Rouco, Aurélio Campilho, INEB - Instituto de Engenharia Biomédica, Portugal
BISP-L1.6: ROBUST 2-D/3-D REGISTRATION OF CT VOLUMES WITH CONTRAST-ENHANCED X-RAY SEQUENCES IN ELECTROPHYSIOLOGY BASED ON A WEIGHTED SIMILARITY MEASURE AND SEQUENTIAL SUBSPACE OPTIMIZATION
Xuan Zhao, Shun Miao, Liang Du, Rui Liao, Siemens Corporation, United States
BISP-L2.1: DETECTION OF PERINATAL HYPOXIA USING TIME–FREQUENCY ANALYSIS OF HEART RATE VARIABILITY SIGNALS
Shiying Dong, Boualem Boashash, Ghasem Azemi, Barbara E Lingwood, Paul B Colditz, The University of Queensland, Australia
BISP-L2.2: ONLINE ESTIMATION OF EMG SIGNALS MODEL BASED ON A RENEWAL PROCESS
Jonathan Monsifrot, Eric Le Carpentier, Yannick Aoustin, L'UNAM Université, Ecole Centrale Nantes, France; Dario Farina, University Medical Center, Göttingen Georg-August University, Germany
BISP-L2.3: MULTIPLE DIPOLAR SOURCES LOCALIZATION FOR MEG USING BAYESIAN PARTICLE FILTERING
Xi Chen, Simon J. Godsill, University of Cambridge, United Kingdom
BISP-L2.4: NEURAL DECODING OF MOVEMENT TARGETS BY UNSORTED SPIKE TRAINS
Zhiming Xu, Kai Keng Ang, Cuntai Guan, Institute for Infocomm Research, Singapore
BISP-L2.5: MODELLING BRAIN CORTICAL CONNECTIVITY USING DIFFUSION ADAPTATION
Konstantinos Eftaxias, Saeid Sanei, University of Surrey, United Kingdom; Ali H. Sayed, University of California, United States
BISP-L2.6: NON-LINEAR COMPLEMENTARY FILTER BASED UPPER LIMB MOTION TRACKING USING WEARABLE SENSORS
Chieh Chien, Jingtao Xia, Oscar Santana, Yan Wang, Gregory Pottie, University of California, Los Angeles, United States
BISP-L3.1: MV-PURE ESTIMATOR OF DIPOLE SOURCE SIGNALS IN EEG
Tomasz Piotrowski, Nicolaus Copernicus University, Poland; Claudia Carolina Zaragoza Martinez, D. Gutierrez, Center for Research and Advanced Studies, Mexico; Isao Yamada, Tokyo Institute of Technology, Japan
BISP-L3.2: COMPRESSED SENSING AND ENERGY-AWARE INDEPENDENT COMPONENT ANALYSIS FOR COMPRESSION OF EEG SIGNALS
Simon Fauvel, University of British Columbia, Canada; Abhinav Agarwal, Indian Institute of Technology Guwahati, India; Rabab Ward, University of British Columbia, Canada
BISP-L3.3: JOINT SPATIAL-TEMPORAL FILTER DESIGN FOR ANALYSIS OF MOTOR IMAGERY EEG
Xinyang Li, National University of Singapore, Singapore; Haihong Zhang, Cuntai Guan, Agency for Science, Technology and Research, Singapore; Sim-Heng Ong, National University of Singapore, Singapore; Yaozhang Pan, Kai Keng Ang, Agency for Science, Technology and Research, Singapore
BISP-L3.4: A JOINT TENSOR DIAGONALIZATION APPROACH TO ACTIVE DATA SELECTION FOR EEG CLASSIFICATION
Naoki Tomida, Hiroshi Higashi, Toshihisa Tanaka, Tokyo University of Agriculture and Technology, Japan
BISP-L3.5: SEPARABLE COMMON SPATIO-SPECTRAL PATTERN ALGORITHM FOR CLASSIFICATION OF EEG SIGNALS
Amirhossein S. Aghaei, Mohammad Shahin Mahanta, Konstantinos N. Plataniotis, University of Toronto, Canada
BISP-L3.6: RECONSTRUCTION OF ECG SIGNALS FOR COMPRESSIVE SENSING BY PROMOTING SPARSITY ON THE GRADIENT
Jeevan Pant, Sridhar Krishnan, Ryerson University, Canada
BISP-P1.1: EXPLOITING SPARSITY AND RANK-DEFICIENCY IN DYNAMIC MRI RECONSTRUCTION
Angshul Majumdar, Rabab Ward, University of British Columbia, Canada
BISP-P1.2: BAYESIAN BOLD AND PERFUSION SOURCE SEPARATION AND DECONVOLUTION FROM FUNCTIONAL ASL IMAGING
Thomas Vincent, Florence Forbes, INRIA Rhone Alpes, France; Philippe Ciuciu, CEA, France
BISP-P1.3: COLLABORATIVE DENOISING OF MULTI-SUBJECT FMRI DATA
Alexander Lorbert, Princeton University, United States; J. Swaroop Guntupalli, Dartmouth College, United States; David J. Eis, Princeton University, United States; James Haxby, Dartmouth College, United States; Peter J. Ramadge, Princeton University, United States
BISP-P1.4: SEGMENTATION OF MAGNETIC RESONANCE IMAGES IN PRESENCE OF SEVERE INTENSITY INHOMOGENEITIES
Florian Liebgott, Christian Würslin, Bin Yang, University of Stuttgart, Germany
BISP-P1.5: AUTOMATED SEGMENTATION OF BREAST FAT-WATER MR IMAGES USING EMPIRICAL ANALYSIS
José Rosado-Toro, Tomoe Barr, Jean-Philippe Galons, Marilyn Marron, Alison Stopeck, Cynthia Thomson, María Altbach, Jeffrey J. Rodríguez, University of Arizona, United States
BISP-P1.6: ESTIMATION OF THE MYOCARDIUM ROTATION FROM STANDARD CINE MAGNETIC RESONANCE IMAGING SEQUENCES
Amro Ahmed, Mohamed Abouelhoda, Nile University, Egypt; Ayman Khalifa, Helwan University, Egypt; Ahmed Fahmy, Nile University, Egypt
BISP-P1.7: INDEPENDENT COMPONENT ANALYSIS ON LIE GROUPS FOR MULTI-OBJECT ANALYSIS OF FIRST EPISODE DEPRESSION
Mahdi Ramezani, Abtin Rasoulian, University of British Columbia, Canada; Ingrid Johnsrude, Tom Hollenstein, Kate Harkness, Queen's University, Canada; Purang Abolmaesumi, University of British Columbia, Canada
BISP-P1.8: BOUNDED ASYMMETRIC MIXTURE MODEL FOR MEDICAL IMAGE SEGMENTATION
Thanh Nguyen, Jonathan Wu, Dibyendu Mukherjee, Hui Zhang, University of Windsor, Canada
BISP-P1.9: THE PAIRWISE ELASTIC NET SUPPORT VECTOR MACHINE FOR AUTOMATIC FMRI FEATURE SELECTION
Alexander Lorbert, Peter J. Ramadge, Princeton University, United States
BISP-P1.10: GAIT ANALYSIS USING 3D MOTION RECONSTRUCTION WITH AN ACTIVITY-SPECIFIC TRACKING PROTOCOL
Yan Wang, Chieh Chien, James Xu, Gregory Pottie, William Kaiser, University of California, Los Angeles, United States
BISP-P1.11: PREDICTION OF INFLUENZA RATES BY PARTICLE FILTERING
Pau Closas, Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain; Mónica Bugallo, Stony Brook University, United States; Ermengol Coma, Leonardo Méndez, Institut Català de la Salut (ICS), Spain
BISP-P2.1: ADAPTIVE THIRD-ORDER VOLTERRA FILTER FOR DETECTION AND TRACKING OF NONLINEAR OSCILLATIONS IN ULTRASOUND ECHO DATA
Juan Du, John Ballard, Jeunghwan Choi, John Bischof, Emad Ebbini, University of Minnesota, United States
BISP-P2.2: COMPRESSED DIGITAL BEAMFORMER WITH ASYNCHRONOUS SAMPLING FOR ULTRASOUND IMAGING
Jun Zhou, Texas A&M University, United States; Yong He, The University of Texas at Dallas, United States; Mohan Chirala, Samsung Telecommunications America, United States; Brian Sadler, Army Research Laboratory, United States; Sebastian Hoyos, Texas A&M University, United States
BISP-P2.3: HYBRID ADAPTIVE/NONADAPTIVE BEAMFORMING FOR ULTRASOUND IMAGING
Mohammed Albulayli, Daler Rakhmatov, University of Victoria, Canada
BISP-P2.4: MOTION ARTIFACT ELIMINATION ALGORITHM WITH EIGEN-BASED CLUTTER FILTER FOR COLOR DOPPLER PROCESSING
Zih-Ling Liu, Yu-Hao Chen, Cheng-Zhou Zhan, An-Yeu (Andy) Wu, National Taiwan University, Taiwan
BISP-P2.5: VESSEL CENTERLINES EXTRACTION FROM FUNDUS FLUORESCEIN ANGIOGRAM BASED ON HESSIAN ANALYSIS OF DIRECTIONAL CURVELET SUBBANDS
Asieh Soltanipour, Saeed Sadri, Isfahan University of Technology, Iran; Hossein Rabbani, Mohammadreza Akhlaghi, Isfahan University of Medical Sciences, Iran; Alimohammad Doosthosseini, Isfahan University of Technology, Iran
BISP-P2.6: VESSEL SEGMENTATION IN IMAGES OF OPTICAL COHERENCE TOMOGRAPHY USING SHADOW INFORMATION AND THICKENING OF RETINAL NERVE FIBER LAYER
Raheleh Kafieh, Hajar Danesh, Hossein Rabbani, Isfahan University of Medical Sciences, Iran; Michael Abramoff, Milan Sonka, The University of Iowa, United States
BISP-P2.7: INTRA-RETINAL LAYER SEGMENTATION OF OPTICAL COHERENCE TOMOGRAPHY USING DIFFUSION MAP
Raheleh Kafieh, Hossein Rabbani, Isfahan University of Medical Sciences, Iran; Michael Abramoff, Milan Sonka, The University of Iowa, United States
BISP-P2.8: BEAM HARDENING CORRECTION VIA MASS ATTENUATION DISCRETIZATION
Renliang Gu, Aleksandar Dogandžic, Iowa State University, United States
BISP-P2.9: DEFORMABLE MODELS FOR RANDOM SMALL-SIZE OBJECTS: CASE OF LUNG NODULES IN CT TOMOGRAPHY
Amal Farag, National Institutes of Health Clinical Center, United States; James Graham, Aly Farag, University of Louisville, United States
BISP-P2.10: EXTRACTION OF TONGUE CONTOUR IN X-RAY VIDEOS
Minghao Yang, Jianhua Tao, Dawei Zhang, Chinese Academy of Sciences, China
BISP-P2.11: FAST FAN/PARALLEL BEAM CS-BASED LOW-DOSE CT RECONSTRUCTION
SayedMasoud Hashemi Amroabadi, University of Toronto, Canada; Soosan Beheshti, Ryerson University, Canada; Patrick R. Gill, Rambus Inc.,, United States; Narinder Paul, University Health Network, Canada; Richard S.C. Cobbold, University of Toronto, Canada
BISP-P2.12: NEW BIMODAL SCATTERED RADIATION TOMOGRAPHIC IMAGING WITH ATTENUATION AND ELECTRON DENSITY CORRECTION ALGORITHM
Gaël Rigaud, Saarland University, Germany; Rémi Régnier, Maï Nguyen-Verger, ETIS, France
BISP-P3.1: IMAGE SEGMENTATION TECHNIQUES FOR STEM CELL TRACKING
Ching-Fen Jiang, Ka-Pei Tsai, I-Shou University, Taiwan
BISP-P3.2: FAST ABERRANT CRYPT FOCI SEGMENTATION ON THE GPU
Marco Martins, Gabriel Falcao, Isabel N. Figueiredo, University of Coimbra, Portugal
BISP-P3.3: ROBUST RETINAL IMAGE REGISTRATION USING EXPECTATION MAXIMISATION WITH MUTUAL INFORMATION
Parminder Singh Reel, Laurence S. Dooley, K.C.P Wong, The Open University, United Kingdom; Anko Börner, German Aerospace Center (DLR), Germany
BISP-P3.4: A MULTIPLICATION-FREE FRAMEWORK FOR SIGNAL PROCESSING AND APPLICATIONS IN BIOMEDICAL IMAGE ANALYSIS
Alexander Suhre, Furkan Keskin, Tulin Ersahin, Rengul Cetin-Atalay, Bilkent University, Turkey; Rashid Ansari, UIC, United States; Ahmet Enis Cetin, Bilkent University, Turkey
BISP-P3.5: SYMMETRY-BASED DETECTION OF NUCLEI IN MICROSCOPY IMAGES
Sundaresh Ram, Jeffrey J. Rodríguez, University of Arizona, United States
BISP-P3.6: BASELINE REGULARIZED SPARSE SPATIAL FILTERS
Ibrahim Onaran, University of Minnesota, United States; Nuri Firat Ince, University of Houston, United States; Ahmet Enis Cetin, Bilkent University, Turkey
BISP-P3.7: INCORPORATION OF A LANGUAGE MODEL INTO A BRAIN COMPUTER INTERFACE BASED SPELLER THROUGH HMMS
Çagdas Ulas, Müjdat Çetin, Sabanci University, Turkey
BISP-P3.8: SCORE-BASED ADAPTIVE TRAINING FOR P300 SPELLER BRAIN-COMPUTER INTERFACE
Yuan Zou, Omid Dehzangi, Roozbeh Jafari, The University of Texas at Dallas, United States
BISP-P3.9: A MODIFIED WATERMARK SYNCHRONISATION CODE FOR ROBUST EMBEDDING OF DATA IN DNA
David Haughton, Félix Balado, University College Dublin, Ireland
BISP-P3.10: VARIABLE SELECTION FOR A MIXED POPULATION APPLIED IN PROTEOMICS
Faouzi Adjed, Jean-François Giovannelli, Audrey Giremus, Noura Dridi, Pascal Szacherski, Univ. Bordeaux, IMS, UMR 5218, France
BISP-P3.11: PARALLEL ARCHITECTURE AND HARDWARE IMPLEMENTATION OF PRE-PROCESSOR AND POST-PROCESSOR FOR SEQUENCE ASSEMBLY
Yuan-Hsiang Kuo, Chun-Shen Liu, Yu-Cheng Li, Yi-Chang Lu, National Taiwan University, Taiwan
BISP-P3.12: THE NEUROGRAM MATCHING SIMILARITY INDEX (NMSI) FOR THE ASSESSMENT OF SIMILARITIES AMONG NEUROGRAMS
Michael Drews, Michele Nicoletti, Werner Hemmert, Stefano Rini, Technische Universität München, Germany
BISP-P3.13: SPARSE BIOLOGICALLY-CONSTRAINED OPTIMAL PERTURBATION OF GENE REGULATORY NETWORKS
Haoyu Wang, University of Illinois at Chicago, United States; Nidhal Bouaynaya, University of Arkansas at Little Rock, United States; Roman Shterenberg, University of Alabama at Birmingham, United States; Dan Schonfeld, University of Illinois at Chicago, United States
BISP-P3.14: IDENTIFICATION OF GENES CONSISTENTLY CO-EXPRESSED IN MULTIPLE MICROARRAY DATASETS BY A GENOME-WIDE BI-COPAM APPROACH
Basel Abu-Jamous, Rui Fa, Brunel University, United Kingdom; David J. Roberts, The University of Oxford, United Kingdom; Asoke K. Nandi, Brunel University, United Kingdom
BISP-P4.1: NON-NEGATIVE MATRIX FACTORIZATION FOR SINGLE-CHANNEL EEG ARTIFACT REJECTION
Cécilia Damon, Antoine Liutkus, Alexandre Gramfort, Slim Essid, Institut Mines-Telecom, TELECOM ParisTech, France
BISP-P4.2: PHASE SYNCHRONIZATION ANALYSIS OF EEG CHANNELS USING BIVARIATE EMPIRICAL MODE DECOMPOSITION
Md. Khademul Islam Molla, The University of Rajshahi, Bangladesh; Toshihisa Tanaka, Tokyo University of Agriculture and Technology, Japan; Tomasz M. Rutkowski, University of Tsukuba, Japan; Kenji Tanaka, Tokyo University of Agriculture and Technology, Japan
BISP-P4.3: MAXIMUM DEPENDENCY AND MINIMUM REDUNDANCY-BASED CHANNEL SELECTION FOR MOTOR IMAGERY OF WALKING EEG SIGNAL DETECTION
Huijuan Yang, Cuntai Guan, Chuan Chu Wang, Kai Keng Ang, Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore
BISP-P4.4: AUTOMATED DETECTION OF PAROXYSMAL GAMMA WAVES IN MEDITATION EEG
Manuel Vazquez, Universidad Carlos III de Madrid, Spain; Jing Jin, Justin Dauwels, Nanyang Technological University, Singapore; Francois Vialatte, ParisTech, France
BISP-P4.5: VOCAL SEGMENT ESTIMATION IN MUSIC PIECES BASED ON COLLABORATIVE USE OF EEG AND AUDIO FEATURES
Takuya Kawakami, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan
BISP-P4.6: A NEW APPROACH TO THE FUSION OF EEG AND MEG SIGNALS USING THE LCMV BEAMFORMER
Hamid Mohseni, Morten Kringelbach, Mark Woolrich, Tipu Aziz, Penny Probert Smith, University of Oxford, United Kingdom
BISP-P4.7: TOWARDS AN EEG-BASED BIOMARKER FOR ALZHEIMER'S DISEASE: IMPROVING AMPLITUDE MODULATION ANALYSIS FEATURES
Francisco J. Fraga, Tiago H. Falk, University of Quebec, Canada; Lucas R. Trambaiolli, Eliezyer F. Oliveira, Walter H. L. Pinaya, Universidade Federal do ABC (UFABC), Brazil; Paulo A. M. Kanda, Renato Anghinah, Universidade de Sao Paulo, Brazil
BISP-P4.8: JOINT BSS AS A NATURAL ANALYSIS FRAMEWORK FOR EEG-HYPERSCANNING
Jonas Chatel-Goldman, Marco Congedo, Ronald Phlypo, GIPSA-Lab, France
BISP-P4.9: EFFECT-SIZE-BASED ELECTRODE AND FEATURE SELECTION FOR EMOTION RECOGNITION FROM EEG
Robert Jenke, Angelika Peer, Martin Buss, Technische Universität München, Germany
BISP-P4.10: IMPROVED ESTIMATION OF EEG EVOKED POTENTIALS BY JITTER COMPENSATION AND ENHANCING SPATIAL FILTERS
Antoine Souloumiac, CEA LIST, France; Bertrand Rivet, GIPSA-Lab CNRS-UMR 5216, France
BISP-P4.11: A BAG-OF-WORDS MODEL FOR TASK-LOAD PREDICTION FROM EEG IN COMPLEX ENVIRONMENTS
Lenis Mauricio Meriño, The University of Texas at San Antonio, United States; Jia Meng, Massachusetts Institute of Technology, United States; Stephen Gordon, DCS Corportaion, United States; Brent Lance, Army Research Laboratory, United States; Tony Johnson, DCS Corportaion, United States; Victor Paul, Army Tank Automotive Research, United States; Kay Robbins, The University of Texas at San Antonio, United States; Jean Vettel, Army Research Laboratory, United States; Yufei Huang, The University of Texas at San Antonio, United States
BISP-P4.12: ERROR ENTROPY BASED ADAPTIVE KERNEL CLASSIFICATION FOR NON-STATIONARY EEG ANALYSIS
Sidath Ravindra Liyanage, National University of Singapore, Singapore; Cuntai Guan, HaiHong Zhang, Kai Keng Ang, Agency for Science, Technology and Research, Singapore; JianXin Xu, Tong Heng Lee, National University of Singapore, Singapore
BISP-P4.13: REGULARIZED LDA BASED ON SEPARABLE SCATTER MATRICES FOR CLASSIFICATION OF SPATIO-SPECTRAL EEG PATTERNS
Mohammad Shahin Mahanta, Amirhossein S. Aghaei, Konstantinos N. Plataniotis, University of Toronto, Canada
BISP-P4.14: TIME INVARIANT MULTI ELECTRODE AVERAGING FOR BIOMEDICAL SIGNALS
Ramon Martinez Orellana, Burak Erem, Dana H Brooks, Northeastern University, United States
BISP-P5.1: A NON-GAUSSIAN LCMV BEAMFORMER FOR MEG SOURCE RECONSTRUCTION
Hamid Mohseni, Morten Kringelbach, Mark Woolrich, Tipu Aziz, Penny Penny Probert, University of Oxford, United Kingdom
BISP-P5.2: FINITE RATE OF INNOVATION BASED MODELING AND COMPRESSION OF ECG SIGNALS
Gilles Baechler, Nikolaos Freris, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland; Frank Quick, Ronald Crochiere, Qualcomm Incorporated, United States
BISP-P5.3: FIDUCIAL POINTS EXTRACTION AND CHARACTERISTIC WAVES DETECTION IN ECG SIGNAL USING A MODEL-BASED BAYESIAN FRAMEWORK
Mahsa Akhbari, GIPSA-Lab, France; Mohammad Bagher Shamsollahi, BiSIPL Sharif University of Technology, Iran; Christian Jutten, GIPSA-Lab, France
BISP-P5.4: SEQUENTIAL ESTIMATION OF GATING VARIABLES FROM VOLTAGE TRACES IN SINGLE-NEURON MODELS BY PARTICLE FILTERING
Pau Closas, Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain; Antoni Guillamon, Universitat Politècnica de Catalunya (UPC), Spain
BISP-P5.5: HYPERSPHERICAL PHASE SYNCHRONY MEASURE FOR QUANTIFYING GLOBAL SYNCHRONIZATION IN THE BRAIN
Ali Mutlu, Selin Aviyente, Michigan State University, United States
BISP-P5.6: SUBSPACE ANALYSIS FOR CHARACTERIZING DYNAMIC FUNCTIONAL BRAIN NETWORKS
Ali Mutlu, Selin Aviyente, Michigan State University, United States
BISP-P5.7: SUBJECT-SPECIFIC CHANNEL SELECTION FOR CLASSIFICATION OF MOTOR IMAGERY ELECTROENCEPHALOGRAPHIC DATA
Yuan Yang, Olexiy Kyrgyzov, Télécom ParisTech, France; Joe Wiart, France Telecom, France; Isabelle Bloch, Télécom ParisTech, France
BISP-P5.8: CONSISTENT ESTIMATION OF THE HEMODYNAMIC RESPONSE FUNCTION IN FNIRS
Adnan Shah, The Australian National University, Australia; Abd-Krim Seghouane, The University of Melbourne, Australia
BISP-P5.9: ROBUST EEG EMOTION CLASSIFICATION USING SEGMENT LEVEL DECISION FUSION
Viktor Rozgic, Shiv Vitaladevuni, Rohit Prasad, Raytheon BBN Technologies, United States
BISP-P5.10: A MULTISCALE MEAN SHIFT LOCALIZATION APPROACH FOR ROBUST EXTRACTION OF HEART SOUNDS IN RESPIRATORY SIGNALS
Feng Jin, Ryerson University, Canada; Farook Sattar, University of Waterloo, Canada
BISP-P5.11: DISCRIMINATION BETWEEN HEALTHY SUBJECTS AND PATIENTS USING LUNG SOUNDS FROM MULTIPLE AUSCULTATION POINTS
Shohei Matsutake, Masaru Yamashita, Shoichi Matsunaga, Nagasaki University, Japan
BISP-P5.12: AUTOMATIC CLASSIFICATION OF SYSTOLIC HEART MURMURS
Maria Markaki, Ioannis Germanakis, Yannis Stylianou, University of Crete, Greece
BISP-P5.13: PERFORMANCE STUDY OF COMPRESSIVE SAMPLING FOR ECG SIGNAL COMPRESSION IN NOISY AND VARYING SPARSITY ACQUISITION
Daniel Chae, Yibeltal Alem, Salman Durrani, Rodney Kennedy, The Australian National University, Australia
BISP-P5.14: SEMI-BLIND INDEPENDENT COMPONENT ANALYSIS OF FUNCTIONAL MRI ELICITED BY CONTINUOUS LISTENING TO MUSIC
Tuomas Puoliväli, Fengyu Cong, Vinoo Alluri, University of Jyväskylä, Finland; Qiu-Hua Lin, Dalian University of Technology, China; Petri Toiviainen, University of Jyväskylä, Finland; Asoke K. Nandi, Brunel University, United Kingdom; Elvira Brattico, University of Helsinki, Finland; Tapani Ristaniemi, University of Jyväskylä, Finland
IVMSP-L1.1: L_2 OPTIMIZED PREDICTIVE IMAGE CODING WITH L_INFINITY BOUND
Sceuchin Chuah, Sorina Dumitrescu, Xiaolin Wu, McMaster University, Canada
IVMSP-L1.2: LEARNING A TREE-STRUCTURED DICTIONARY FOR EFFICIENT IMAGE REPRESENTATION WITH ADAPTIVE SPARSE CODING
Jérémy Aghaei Mazaheri, Christine Guillemot, Claude Labit, INRIA Rennes, France
IVMSP-L1.3: GRAPH-BASED REPRESENTATION AND CODING OF MULTIVIEW GEOMETRY
Thomas Maugey, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland; Antonio Ortega, University of Southern California, United States; Pascal Frossard, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
IVMSP-L1.4: ON THE APPLICATION OF MULTIVARIATE KERNEL DENSITY ESTIMATION TO IMAGE ERROR CONCEALMENT
Ján Koloda, Antonio M. Peinado, Victoria Sánchez, Universidad de Granada, Spain
IVMSP-L1.5: ON A PRACTICAL APPROACH TO SOURCE SEPARATION OVER FINITE FIELDS FOR NETWORK CODING APPLICATIONS
Irina Delia Nemoianu, Claudio Greco, Télécom ParisTech, France; Marc Castella, Télécom & Management SudParis, France; Béatrice Pesquet-Popescu, Marco Cagnazzo, Télécom ParisTech, France
IVMSP-L1.6: TWO LAYER LOSSLESS CODING OF HDR IMAGES
Masahiro Iwahashi, Nagaoka University of Technology, Japan; Hitoshi Kiya, Tokyo Metropolitan University, Japan
IVMSP-L2.1: NON-LOCAL PATCH REGRESSION: ROBUST IMAGE DENOISING IN PATCH SPACE
Kunal Chaudhury, Amit Singer, Princeton, United States
IVMSP-L2.2: IMAGE DENOISING USING NL-MEANS VIA SMOOTH PATCH ORDERING
Idan Ram, Michael Elad, Israel Cohen, Technion - Israel Institute of Technology, Israel
IVMSP-L2.3: BENEFITS OF CONSISTENCY IN IMAGE DENOISING WITH STEERABLE WAVELETS
Bugra Tekin, Ulugbek Kamilov, Emrah Bostan, Michael Unser, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
IVMSP-L2.4: AN EPIGRAPHICAL CONVEX OPTIMIZATION APPROACH FOR MULTICOMPONENT IMAGE RESTORATION USING NON-LOCAL STRUCTURE TENSOR
Giovanni Chierchia, Télécom ParisTech, France; Nelly Pustelnik, École Normale Supérieure de Lyon, France; Jean-Christophe Pesquet, Université Paris-Est, France; Béatrice Pesquet-Popescu, Télécom ParisTech, France
IVMSP-L2.5: LOW-RATE POISSON INTENSITY ESTIMATION USING MULTIPLEXED IMAGING
Dongeek Shin, Ahmed Kirmani, Vivek Goyal, Massachusetts Institute of Technology, United States
IVMSP-L2.6: DIRECTIONAL HYPERCOMPLEX DIFFUSION
Mohamed Malek, David Helbert, Philippe Carré, University of Poitiers, France
IVMSP-L3.1: INTRA PREDICTION MODE CODING FOR SCALABLE HEVC
Done Bugdayci, M. Oguz Bici, Tampere University of Technology, Finland; Kemal Ugur, Nokia Research Center, Finland; Moncef Gabbouj, Tampere University of Technology, Finland
IVMSP-L3.2: ROBUST ROTATIONAL MOTION ESTIMATION FOR EFFICIENT HEVC COMPRESSION OF 2D AND 3D NAVIGATION VIDEO SEQUENCES
Dominic Springer, University of Erlangen-Nuremberg, Germany; Franz Simmet, Dieter Niederkorn, AUDI AG, Germany; Andre Kaup, University of Erlangen-Nuremberg, Germany
IVMSP-L3.3: FAST INTER MODE DECISION USING RESIDUAL HOMOGENEITY IN H.264/AVC
Zhiru Shi, Anil Fernando, Ahmet Kondoz, University of Surrey, United Kingdom
IVMSP-L3.4: EARLY TERMINATION FOR TZSEARCH IN HEVC MOTION ESTIMATION
Zhaoqing Pan, Yun Zhang, Sam Kwong, Xu Wang, Long Xu, City University of Hong Kong, Hong Kong SAR of China
IVMSP-L3.5: MOTION ESTIMATION FOR VIDEO CODING BASED ON SPARSE REPRESENTATION
Yanfei Shen, Jintao Li, Zhenmin Zhu, Institute of Computing Technology, Chinese Academy of Sciences, China
IVMSP-L3.6: AN OPTIMALLY SCALABLE AND COST-EFFECTIVE FRACTIONAL-PIXEL MOTION ESTIMATION ALGORITHM FOR HEVC
Huang Li, Yihao Zhang, Hongyang Chao, Sun Yat-Sen University, China
IVMSP-L4.1: VIDEO FRAME INTERPOLATION VIA WEIGHTED ROBUST PRINCIPAL COMPONENT ANALYSIS
Minh Dao, Yuanming Suo, Sang Chin, Trac Tran, The Johns Hopkins University, United States
IVMSP-L4.2: A NON-NEGATIVE SPARSE PROMOTING ALGORITHM FOR HIGH RESOLUTION HYPERSPECTRAL IMAGING
Eliot Wycoff, Tsung-Han Chan, Kui Jia, Advanced Digital Sciences Center, Singapore; Wing-Kin Ma, Chinese University of Hong Kong, Hong Kong SAR of China; Yi Ma, Microsoft Research Asia, China
IVMSP-L4.3: DEPTH MAP SUPER-RESOLUTION VIA MARKOV RANDOM FIELDS WITHOUT TEXTURE-COPYING ARTIFACTS
Kai-Han Lo, Kai-Lung Hua, National Taiwan University Science and Technology, Taiwan; Yu-Chiang Frank Wang, Academia Sinica, Taiwan
IVMSP-L4.4: HYBRID DCT-WIENER-BASED INTERPOLATION VIA LEARNT WIENER FILTER
Kwok-Wai Hung, Wan-Chi Siu, The Hong Kong Polytechnic University, Hong Kong SAR of China
IVMSP-L4.5: OCCLUSION HANDLING FRAME RATE UP-CONVERSION
Yong Guo, Zhiyong Gao, Li Chen, Xiaoyun Zhang, Shanghai Jiao Tong University, China
IVMSP-L4.6: MANIFOLD REGULARIZED SPARSE SUPPORT REGRESSION FOR SINGLE IMAGE SUPER-RESOLUTION
Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zhen Han, Shi Dong, Wuhan University, China
IVMSP-L5.1: LOCAL RADIUS INDEX - A NEW TEXTURE SIMILARITY FEATURE
Yuanhao Zhai, David Neuhoff, University of Michigan, United States; Thrasyvoulos Pappas, Northwestern University, United States
IVMSP-L5.2: SINGULAR POINT DETECTION BASED ON ORIENTATION FILED REGULARIZATION AND POINCARE´ INDEX IN FINGERPRINT IMAGES
Yue Li, Mrinal Mandal, Cheng Lu, University of Alberta, Canada
IVMSP-L5.3: A ROBUST CSS CORNER DETECTOR BASED ON THE TURNING ANGLE CURVATURE OF IMAGE GRADIENTS
Cihan Topal, Anadolu University, Turkey; Kemal Özkan, Eskisehir Osmangazi University, Turkey; Burak Benligiray, Cuneyt Akinlar, Anadolu University, Turkey
IVMSP-L5.4: BILATERAL EDGE DETECTORS
Abin Jose, Chandra Sekhar Seelamantula, Indian Institute of Science, India
IVMSP-L5.5: HOUGH TRANSFORM WITH DYNAMIC THRESHOLDING FOR ROBUST AND REAL-TIME DETECTION OF COMPLEX CURVES IN IMAGES
Shen-En Shih, Wen-Hsiang Tsai, National Chiao Tung University, Taiwan
IVMSP-L5.6: A VOTE OF CONFIDENCE BASED INTEREST POINT DETECTOR
Zhenwei Miao, Xudong Jiang, Nanyang Technological University, Singapore
IVMSP-L6.1: NATURAL SCENE SEGMENTATION BASED ON A STOCHASTIC TEXTURE REGION MERGING APPROACH
Rafael Medeiros, Jacob Scharcanski, UFRGS, Brazil; Alex Wong, University of Waterloo, Canada
IVMSP-L6.2: A DETAIL-PRESERVING MIXTURE MODEL FOR IMAGE SEGMENTATION
Thanh Nguyen, Jonathan Wu, Dibyendu Mukherjee, Hui Zhang, University of Windsor, Canada
IVMSP-L6.3: RANDOM WALKER WATERSHEDS: A NEW IMAGE SEGMENTATION APPROACH
Sundaresh Ram, Jeffrey J. Rodríguez, University of Arizona, United States
IVMSP-L6.4: IMAGE SEGMENTATION BY A ROBUST MODIFIED GAUSSIAN MIXTURE MODEL
Hui Zhang, Q.M. Jonathan Wu, Thanh Nguyen, University of Windsor, Canada
IVMSP-L6.5: AN EFFECTIVE FUZZY CLUSTERING ALGORITHM FOR IMAGE SEGMENTATION
Hui Zhang, Nanjing University of Information Science & Technology, China; Q.M. Jonathan Wu, Thanh Nguyen, University of Windsor, Canada
IVMSP-L6.6: ENERGY MINIMIZATION-BASED MIXTURE MODEL FOR IMAGE SEGMENTATION
Zhiyong Xiao, Ecole Centrale Marseille, France; Mouloud Adel, Aix-Marseille Université, France; Salah Bourennane, Ecole Centrale Marseille, France
IVMSP-L7.1: AN EFFICIENT RETRIEVAL STRATEGY FOR WAVELET-BASED QUANTIZED IMAGES
Amani Chaker, Ecole superieure des communications de tunis, Tunisia; Mounir Kaaniche, Université Paris-Est, France; Amel Benazza-Benyahia, Ecole superieure des communications de tunis, Tunisia
IVMSP-L7.2: K-CENTROIDS-BASED SUPERVISED CLASSIFICATION OF TEXTURE IMAGES: HANDLING THE INTRA-CLASS DIVERSITY
Aurélien Schutz, Lionel Bombrun, Yannick Berthoumieu, Université de Bordeaux, France
IVMSP-L7.3: RELEVANCE FEEDBACK FOR SATELLITE IMAGE CHANGE DETECTION
Hichem Sahbi, CNRS TELECOM ParisTech, France
IVMSP-L7.4: A VIDEO COPY DETECTION ALGORITHM COMBINING LOCAL FEATURE’S ROBUSTNESS AND GLOBAL FEATURE’S SPEED
Xiaoguang Gu, Dongming Zhang, Yongdong Zhang, Jintao Li, Lei Zhang, Institute of Computing Technology, Chinese Academy of Sciences, China
IVMSP-L7.5: ROBUST FISHER CODES FOR LARGE SCALE IMAGE RETRIEVAL
Jie Lin, Ling-Yu Duan, Tiejun Huang, Wen Gao, Peking University, China
IVMSP-L7.6: ON THE INTEROPERABILITY OF LOCAL DESCRIPTORS COMPRESSION
Jie Chen, Ling-Yu Duan, Jie Lin, Rongrong Ji, Tiejun Huang, Wen Gao, Peking University, China
IVMSP-L8.1: DISPARITY ESTIMATION OF MISALIGNED IMAGES IN A SCANLINE OPTIMIZATION FRAMEWORK
Richard Rzeszutek, Ryerson University, Canada; Dong Tian, Anthony Vetro, Mitsubishi Electric Research Laboratories (MERL), United States
IVMSP-L8.2: MULTIVIEW DEPTH MAP ENHANCEMENT BY VARIATIONAL BAYES INFERENCE ESTIMATION OF DIRICHLET MIXTURE MODELS
Pravin Kumar Rana, Zhanyu Ma, Jalil Taghia, Markus Flierl, KTH Royal Institute of Technology, Sweden
IVMSP-L8.3: DE-NOISING OF DISTANCE MAPS SENSED BY TIME-OF-FLIGHT DEVICES IN POOR SENSING ENVIRONMENT
Mihail Georgiev, Atanas Gotchev, Tampere University of Technology, Finland; Miska Hannuksela, Nokia, Finland
IVMSP-L8.4: METHOD FOR ENHANCING LOW QUALITY DEPTH MAPS FOR 3D RECONSTRUCTION ON A EMBEDDED PLATFORM
Rajesh Narasimha, Karthik Raghuram, Jesse Villarreal, Joel Pacheco, Texas Instruments Inc., United States
IVMSP-L8.5: QUANTIZATION ERROR REDUCTION IN DEPTH MAPS
Ku-Chu Wei, Yung-Lin Huang, Shao-Yi Chien, National Taiwan University, Taiwan
IVMSP-L8.6: DEPTH-MAP SUPER-RESOLUTION FOR ASYMMETRIC STEREO IMAGES
Diogo Garcia, Camilo Dorea, Ricardo Queiroz, University of Brasilia, Brazil
IVMSP-P1.1: ML ESTIMATION OF WAVELET REGULARIZATION HYPERPARAMETERS IN INVERSE PROBLEMS
Roberto Cavicchioli, University of Modena and Reggio Emilia, Italy; Caroline Chaux, Aix-Marseille Université, France; Laure Blanc-Féraud, CNRS, France; Luca Zanni, University of Modena and Reggio Emilia, Italy
IVMSP-P1.2: IMAGE INPAINTING USING LLE-LDNR AND LINEAR SUBSPACE MAPPINGS
Christine Guillemot, INRIA, France; Mehmet Turkan, Technicolor, France; Olivier Le Meur, University of Rennes 1, France; Mounira Ebdelli, INRIA, France
IVMSP-P1.3: ENHANCING WITH DECONVOLUTION THE METROLOGICAL PERFORMANCE OF THE GRID METHOD FOR IN-PLANE STRAIN MEASUREMENT
Frederic Sur, Université de Lorraine, France; Michel Grediac, Université Blaise Pascal, France
IVMSP-P1.4: IMPROVED ADAPTIVE COLOR EMBEDDING AND RECOVERY USING DC LEVEL SHIFTING
Yuko Miyashita, Madoka Hasegawa, Shigeo Kato, Utsunomiya University, Japan; Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan
IVMSP-P1.5: A RANK SELECTION OF MV-PURE WITH AN UNBIASED PREDICTED-MSE CRITERION AND ITS EFFICIENT IMPLEMENTATION IN IMAGE RESTORATION
Masao Yamagishi, Isao Yamada, Tokyo Institute of Technology, Japan
IVMSP-P1.6: IMAGE COLORIZATION USING SPARSE REPRESENTATION
Jiahao Pang, Oscar C. Au, Ketan Tang, Yuanfang Guo, The Hong Kong University of Science and Technology, Hong Kong SAR of China
IVMSP-P1.7: BOOSTED DICTIONARIES FOR IMAGE RESTORATION BASED ON SPARSE REPRESENTATIONS
Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias, Prasanna Sattigeri, Arizona State University, United States
IVMSP-P1.8: AN IMAGE COLORIZATION ALGORITHM USING SPARSE OPTIMIZATION
Kazunori Uruma, Tokyo University of Science, Japan; Katsumi Konishi, Kogakuin University, Japan; Tomohiro Takahashi, Toshihiro Furukawa, Tokyo University of Science, Japan
IVMSP-P1.9: IMAGE RESTORATION FROM MULTIPLE COPIES: A GMM BASED METHOD
Sandeep P, Tony Jacob, Indian Institute of Technology Guwahati, India
IVMSP-P1.10: EFFECTIVE COLOR CORRECTION VIA CHROMATICITY ADJUSTMENT AND LEAST SQUARE APPROXIMATION
Feng-Ju Chang, Academia Sinica, Taiwan; Soo-Chang Pei, National Taiwan University, Taiwan
IVMSP-P1.11: FAST NON-LOCAL FILTERING BY RANDOM SAMPLING: IT WORKS, ESPECIALLY FOR LARGE IMAGES
Stanley Chan, Todd Zickler, Harvard University, United States; Yue M. Lu, Harvard School of Engineering and Applied Sciences, United States
IVMSP-P1.12: IMAGE DEBLURRING USING MAPS OF HIGHLIGHTS
Fabiane Queiroz, Federal University of Alagoas, Brazil; Tsang Ren, Federal University of Pernambuco, Brazil; Lior Shapira, Microsoft Research, United States; Ron Banner, HP Research, Israel
IVMSP-P1.13: HIGH DYNAMIC RANGE IMAGE ACQUISITION USING FLASH IMAGE
Ryo Matsuoka, Tatsuya Baba, Masahiro Okuda, The University of Kitakyushu, Japan; Keiichiro Shirai, Shinshu University, Japan
IVMSP-P1.14: REMOVING OUT-OF-FOCUS BLUR FROM SIMILAR IMAGE PAIRS
Jiangyong Duan, Gaofeng Meng, Shiming Xiang, Chunhong Pan, Institute of Automation, Chinese Academy of Sciences, China
IVMSP-P2.1: EDGE-PRESERVING NONNEGATIVE HYPERSPECTRAL IMAGE RESTORATION
Simon Henrot, Centre de Recherche en Automatique de Nancy, France; Saïd Moussaoui, Institut de Recherche en Communications et Cybernétique de Nantes, France; Charles Soussen, David Brie, Centre de Recherche en Automatique de Nancy, France
IVMSP-P2.2: SEARCHING FOR THE OPTIMAL CURVELET TILING
Hasan Al Marzouqi, Ghassan AlRegib, Georgia Institute of Technology, United States
IVMSP-P2.3: POSTPROCESSING OF BLOCK-CODED VIDEOS FOR DEFLICKER AND DEBLOCKING
Jie Ren, Jiaying Liu, Mading Li, Zongming Guo, Peking University, China
IVMSP-P2.4: A NEW GENERALIZED THRESHOLDING ALGORITHM FOR INVERSE PROBLEMS WITH SPARSITY CONSTRAINTS
Sergey Voronin, Université de Nice-Sophia Antipolis, France; Rick Chartrand, Los Alamos National Laboratory, United States
IVMSP-P2.5: EFFICIENT BLIND SEPARATION OF REFLECTION LAYERS WITH NONPARAMETRIC TRANSFORMATIONS
Han Li, Tsinghua University, China; Kun Gai, Alibaba Group, China; Pinghua Gong, Changshui Zhang, Tsinghua University, China
IVMSP-P2.6: A NOVEL COMPRESSIVE SENSING APPROACH TO SIMULTANEOUSLY ACQUIRE COLOR AND NEAR-INFRARED IMAGES ON A SINGLE SENSOR
Zahra Sadeghipoor, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland; Yue M. Lu, Harvard School of Engineering and Applied Sciences, United States; Sabine Süsstrunk, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
IVMSP-P2.7: VIEW INTERPOLATION CONFIDENCE-AIDED COMPRESSED SENSING OF MULTIVIEW IMAGES
Xing Wang, Jie Liang, Simon Fraser University, Canada
IVMSP-P2.9: AN EFFICIENT AUGMENTED LAGRANGIAN ALGORITHM FOR GRAPH REGULARIZED SPARSE CODING IN CLUSTERING
Qiegen Liu, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China; Leslie Ying, The State University of New York at Buffalo, United States; Dong Liang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
IVMSP-P2.10: AUTOMATIC IMAGE ANNOTATION VIA LOCAL SPARSE CODING
Wenbo Zhang, Dongping Tian, Hong Hu, Xiaofei Zhao, Zhongzhi Shi, Institute of Computing Technology, Chinese Academy of Sciences, China
IVMSP-P2.11: A SEMANTIC GRAPH-BASED ALGORITHM FOR IMAGE SEARCH RERANKING
Nan Zhao, Yuan Dong, Beijing University of Posts and Telecommunications, China; Hongliang Bai, France Telecom Research & Development - Beijing, China; Lezi Wang, Chong Huang, Shusheng Cen, Beijing University of Posts and Telecommunications, China; Jian Zhao, Patent Examination Cooperation Centers of the Patent Office, China
IVMSP-P2.12: AN EFFICIENT GRAPH-BASED VISUAL RERANKING
Chong Huang, Yuan Dong, Beijing University of Posts and Telecommunications, China; Hongliang Bai, France Telecom Research & Development - Beijing, China; Lezi Wang, Nan Zhao, Shusheng Cen, Beijing University of Posts and Telecommunications, China; Jian Zhao, Patent Examination Cooperation Centers of the Patent Office, China
IVMSP-P2.13: COMMUNITY MAPS FOR JOINT VISUALIZATION OF IMAGES AND DESCRIPTORS
Raghavendra Singh, IBM Research - India, India
IVMSP-P2.14: FOREST HASHING: EXPEDITING LARGE SCALE IMAGE RETRIEVAL
Jonathan Springer, Xin Xin, Northwestern University, United States; Zhu Li, Samsung Electronics Co. Ltd, United States; Jeremy Watt, Aggelos K. Katsaggelos, Northwestern University, United States
IVMSP-P3.1: DISTRIBUTED MULTI-HYPOTHESIS CODING OF DEPTH MAPS USING TEXTURE MOTION INFORMATION AND OPTICAL FLOW
Matteo Salmistraro, Marco Zamarin, Technical University of Denmark, Denmark; Lars Lau Rakêt, University of Copenhagen, Denmark; Søren Forchhammer, Technical University of Denmark, Denmark
IVMSP-P3.2: SSIM-BASED ADAPTIVE QUANTIZATION IN HEVC
Chuohao Yeo, Hui Li Tan, Yih Han Tan, Institute for Infocomm Research, Singapore
IVMSP-P3.3: QUADRATIC Ρ-DOMAIN BASED RATE CONTROL ALGORITHM FOR HEVC
Shanshe Wang, Harbin Institute of Technology, China; Siwei Ma, Shiqi Wang, Peking University, China; Debin Zhao, Harbin Institute of Technology, China; Wen Gao, Peking University, China
IVMSP-P3.4: IMPROVED SAMPLE ADAPTIVE OFFSET FOR HEVC
Woo-Shik Kim, Do-Kyoung Kwon, Texas Instruments Inc., United States
IVMSP-P3.5: INTERPOLATION FILTER DESIGN IN HEVC AND ITS CODING EFFICIENCY – COMPLEXITY ANALYSIS
Kemal Ugur, Nokia, Finland; Alexander Alshin, Elena Alshina, Samsung Electronics Co. Ltd, Republic of Korea; Frank Bossen, Docomo Innovations, United States; Woo-Jin Han, Gachon University, Republic of Korea; Jeong-Hoon Park, Samsung Electronics Co. Ltd, Republic of Korea; Jani Lainema, Nokia, Finland
IVMSP-P3.6: ENHANCED INTER-PREDICTION USING MERGE PREDICTION TRANSFORMATION IN THE HEVC CODEC
Saverio Giovanni Blasi, Eduardo Peixoto, Ebroul Izquierdo, Queen Mary University of London, United Kingdom
IVMSP-P3.7: SCREEN CONTENT CODING FOR HEVC USING EDGE MODES
Sudeng Hu, University of Southern California, United States; Robert Cohen, Anthony Vetro, Mitsubishi Electric Research Laboratories (MERL), United States; C.-C. Jay Kuo, University of Southern California, United States
IVMSP-P3.8: A RATE CONTROL ALGORITHM FOR HEVC WITH HIERARCHICAL GOP STRUCTURES
Sergio Sanz-Rodríguez, Thomas Schierl, Fraunhofer Heinrich Hertz Institute, Germany
IVMSP-P3.9: TENSOR VIDEO CODING
Abo Talib Mahfoodh, Hayder Radha, Michigan State University, United States
IVMSP-P3.10: STANDARD COMPLIANT FLICKER REDUCTION METHOD WITH PSNR LOSS CONTROL
Amaya Jiménez Moreno, Eduardo Martínez Enríquez, Fernando Díaz de María, Carlos III University, Spain
IVMSP-P3.11: A RECURSIVE EXTRAPOLATION APPROACH TO INTRA PREDICTION IN VIDEO CODING
Yue Chen, Jingning Han, Kenneth Rose, University of California, Santa Barbara, United States
IVMSP-P3.12: ENERGY-CONSTRAINED REAL-TIME H.264/AVC VIDEO CODING
Tiago Fonseca, Ricardo Queiroz, Universidade de Brasilia, Brazil
IVMSP-P3.13: CONTENT ADAPTIVE COMPLEXITY REDUCTION SCHEME FOR QUALITY/FIDELITY SCALABLE HEVC
Hamid Reza Tohidypour, University of British Columbia, Canada; Mahsa T. Pourazad, University of British Columbia & TELUS Communications Inc., Canada; Panos Nasiopoulos, University of British Columbia, Canada
IVMSP-P3.14: MULTI-LOOP SCALABLE VIDEO CODEC BASED ON HIGH EFFICIENCY VIDEO CODING (HEVC)
Do-Kyoung Kwon, Madhukar Budagavi, Minhua Zhou, Texas Instruments Inc., United States
IVMSP-P4.1: DETECTING GROUP INTERACTIONS BY ONLINE ASSOCIATION OF TRAJECTORY DATA
Fan Chen, Japan Advanced Institute of Science and Technology, Japan; Andrea Cavallaro, Queen Mary University of London, United Kingdom
IVMSP-P4.2: VARIATIONAL BAYESIAN AND BELIEF PROPAGATION BASED DATA ASSOCIATION FOR MULTI-TARGET TRACKING
Ata Ur-Rehman, Syed Mohsen Naqvi, Loughborough University, United Kingdom; Lyudmila Mihaylova, Lancaster University, United Kingdom; Jonathon A. Chambers, Loughborough University, United Kingdom
IVMSP-P4.3: ROBUST VISUAL TRACKING VIA A COMPACT ASSOCIATION OF PRINCIPAL COMPONENT ANALYSIS AND CANONICAL CORRELATION ANALYSIS
Yuxia Wang, Qingjie Zhao, Beijing Institute of Technology, China
IVMSP-P4.4: RECURSIVE KERNEL DENSITY ESTIMATION FOR MODELING THE BACKGROUND AND SEGMENTING MOVING OBJECTS
Qingsong Zhu, Stanford University, United States; Ling Shao, University of Sheffield, United Kingdom; Qi Li, University of Science and Technology of China, China; Yaoqin Xie, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
IVMSP-P4.5: AN ITERATED EXTENDED KALMAN FILTER FOR 3D MAPPING VIA KINECT CAMERA
Li Ling, Eva Cheng, Ian Burnett, RMIT University, Australia
IVMSP-P4.6: DISTANCE MAP OF VARIOUS WEIGHTS: A NEW FEATURE FOR ADAPTIVE OBJECT TRACKING
Lin Ma, Junliang Xing, Chinese Academy of Sciences, China; Xiaoqin Zhang, Wenzhou University, China; Weiming Hu, Chinese Academy of Sciences, China
IVMSP-P4.7: MULTI-STAGE OMP SPARSE CODING USING LOCAL MATCHING PURSUIT ATOMS SELECTION
Mahdi Marsousi, University of Toronto, Canada; Kaveh Abhari, Ryerson University, Canada; Paul Babyn, University of Saskatchewan and Saskatoon Health Region, Canada; Javad Alirezaie, Ryerson University, Canada
IVMSP-P4.8: ROBUST OBJECT TRACKING USING A CONTEXT BASED ON THE RELATION OF OBJECT AND BACKGROUND
Takayoshi Yamashita, OMRON, Japan; Hironobu Fujiyoshi, CHUBU University, Japan
IVMSP-P4.9: MULTIPLE-KERNEL BASED VEHICLE TRACKING USING 3-D DEFORMABLE MODEL AND LICENSE PLATE SELF-SIMILARITY
Kuan-Hui Lee, Yong-Jin Lee, Jenq-Neng Hwang, University of Washington, United States
IVMSP-P4.10: SHADOW TOUCHING FOR INTERACTIVE PROJECTORS
Lan-Rong Dung, Guan-Ying Lai, Yin-Yi Wu, National Chiao Tung University, Taiwan
IVMSP-P4.11: ROBUST VISUAL TRACKING VIA PART-BASED SPARSITY MODEL
Pingyang Dai, Yanlong Luo, Weisheng Liu, Cuihua Li, Yi Xie, Xiamen University, China
IVMSP-P4.12: AGGREGATED SEGMENTATION OF FISH FROM CONVEYOR BELT VIDEOS
Meng-Che Chuang, Jenq-Neng Hwang, University of Washington, United States; Craig S. Rose, National Oceanic and Atmospheric Administration, United States
IVMSP-P4.13: INTERACTIVE MEDIA CONTROL USING NATURAL INTERACTION-BASED KINECT
Madjid Maidi, Marius Preda, Télécom SudParis, France
IVMSP-P4.14: ACTIVE LEARNING BASED AUTOMATIC FACE SEGMENTATION FOR KINECT VIDEO
Jixia Zhang, Institute of Automation, Chinese Academy of Sciences, China; Haibo Wang, Shandong University, China; Shaoguo Liu, Institute of Automation, Chinese Academy of Sciences, China; Franck Davoine, French National Center for Scientific Research, France; Chunhong Pan, Shiming Xiang, Institute of Automation, Chinese Academy of Sciences, China
IVMSP-P5.1: DICTIONARY LEARNING FOR INCOHERENT SAMPLING WITH APPLICATION TO PLENOPTIC IMAGING
Ivana Tosic, Sapna Shroff, Kathrin Berkner, Ricoh Innovations, Inc., United States
IVMSP-P5.2: ONLINE WHOLE-WORD AND STROKE-BASED MODELING FOR HAND-WRITTEN LETTER RECOGNITION IN IN-CAR ENVIRONMENTS
You-Chi Cheng, Kehuang Li, Georgia Institute of Technology, United States; Zhe Feng, Fuliang Weng, Robert Bosch, United States; Chin-Hui Lee, Georgia Institute of Technology, United States
IVMSP-P5.3: 3D MOTION IN VISUAL SALIENCY MODELING
Pengfei Wan, Hong Kong University of Science and Technology, China; Yunlong Feng, The Graduate University for Advaced Studies, Japan; Gene Cheung, National Institute of Informatics, Japan; Ivan V. Bajic, Simon Fraser University, Canada; Oscar C. Au, Hong Kong University of Science and Technology, China; Yusheng Ji, National Institute of Informatics, Japan
IVMSP-P5.4: NEW CONTENT-BASED FEATURES FOR THE DISTINCTION OF VIOLENT VIDEOS AND MARTIAL ARTS
Markus Hörhan, Horst Eidenberger, Vienna University of Technology, Austria
IVMSP-P5.5: CROSSTALK MODELING, ANALYSIS, SIMULATION AND CANCELLATION IN PASSIVE-TYPE STEREOSCOPIC LCD DISPLAYS
Menglin Zeng, Truong Nguyen, University of California, San Diego, United States
IVMSP-P5.6: RAY-SPACE BASED CAMERA SPACING CORRECTION VIA CONVEX OPTIMIZATION
Lingfeng Xu, Oscar C. Au, Wenxiu Sun, Jiali Li, Wei Hu, Rui Ma, The Hong Kong University of Science and Technology, Hong Kong SAR of China
IVMSP-P5.7: IMPROVING ACTION CLASSIFICATION WITH VOLUMETRIC DATA USING 3D MORPHOLOGICAL OPERATORS
Eliana Frigerio, Marco Marcon, Stefano Tubaro, Politecnico di Milano, Italy
IVMSP-P5.8: VIDEO RETARGETING BASED FRAME-COMPATIBLE STEREO VIDEO CODING
Siao-Wei Chen, Ming-Feng Tsai, Jui-Chiu Chiang, National Chung Cheng University, Taiwan
IVMSP-P5.9: EXPANSION HOLE FILLING IN DEPTH-IMAGE-BASED RENDERING USING GRAPH-BASED INTERPOLATION
Yu Mao, The Graduate University for Advaced Studies, Japan; Gene Cheung, National Institute of Informatics, Japan; Antonio Ortega, University of Southern California, United States; Yusheng Ji, National Institute of Informatics, Japan
IVMSP-P5.10: GEO-REGISTERING 3D POINT CLOUDS TO 2D MAPS WITH SCAN MATCHING AND THE HOUGH TRANSFORM
Karl Ni, Nicholas Armstrong-Crews, Scott Sawyer, Massachusetts Institute of Technology, Lincoln Laboratory, United States
IVMSP-P5.11: DICTIONARY BASED IMAGE ENHANCEMENT FOR INTEGRATED CIRCUIT IMAGING
T. Berkin Cilingiroglu, Ahmet Tuysuzoglu, W. Clem Karl, Janusz Konrad, M. Selim Unlu, Bennet B. Goldberg, Boston University, United States
IVMSP-P6.1: BLIND BLOCKINESS MEASURE BASED ON MARGINAL DISTRIBUTION OF WAVELET COEFFICIENT AND SALIENCY
Seungchul Ryu, Kwanghoon Sohn, Yonsei University, Republic of Korea
IVMSP-P6.2: HIGH DYNAMIC RANGE IMAGE TONE MAPPING BY MAXIMIZING A STRUCTURAL FIDELITY MEASURE
Hojatollah Yeganeh, Zhou Wang, University of Waterloo, Canada
IVMSP-P6.3: COMPARATIVE IMAGE QUALITY ASSESSMENT USING FREE ENERGY MINIMIZATION
Guangtao Zhai, Shanghai Jiao Tong University, Germany; Andre Kaup, Friedrich-Alexander-University, Germany
IVMSP-P6.4: A STUDY ON USING SPECTRAL SALIENCY DETECTION APPROACHES FOR IMAGE QUALITY ASSESSMENT
Ashirbani Saha, Q.M. Jonathan Wu, University of Windsor, Canada
IVMSP-P6.5: A NO-REFERENCE PERCEPTUAL TEXTURE REGULARITY METRIC
Srenivas Varadarajan, Lina Karam, Arizona State University, United States
IVMSP-P6.6: ADAPTIVE COOPERATIVE TRACKING BASED ON MULTI-GRAPH EMBEDDING AND MARKOV RANDOM FIELD
Lin Ma, Junliang Xing, Chinese Academy of Sciences, China; Xiaoqin Zhang, Wenzhou University, China; Weiming Hu, Chinese Academy of Sciences, China
IVMSP-P6.7: PERCEPTUALLY RELEVANT ENERGY FUNCTION FOR SEAM CARVING
Hui Li Tan, Yih Han Tan, Zhengguo Li, Susanto Rahardja, Chuohao Yeo, Institute for Infocomm Research, Singapore
IVMSP-P6.8: IMPROVING COLOR CONSTANCY BY SATURATION WEIGHTING
Hyunchan Ahn, Soobin Lee, Hwang Soo Lee, Korea Advanced Institute of Science and Technology, Republic of Korea
IVMSP-P6.9: COLOR ESTIMATION UNDER POISSON NOISE
H. Joel Trussell, North Carolina State University, United States; Michael J. Vrhel, Artifex Software Inc., United States
IVMSP-P6.10: HIGH PRECISION DISCRETIZATION MODEL FOR CODED APERTURE-BASED COMPRESSIVE SPECTRAL IMAGING
Henry Arguello, Hoover F. Rueda, University of Delaware / Universidad Industrial de Santander, United States; Gonzalo R. Arce, University of Delaware, United States
IVMSP-P6.11: OBJECT DETECTION USING HIERARCHICAL GRAPH-BASED SEGMENTATION
Jungho Kim, Byeongho Choi, KETI, Republic of Korea; In-So Kweon, Korea Advanced Institute of Science and Technology, Republic of Korea
IVMSP-P6.12: CHALLENGING EYE SEGMENTATION USING TRIPLET MARKOV SPATIAL MODELS
Dalila Benboudjema, Nadia Othman, Bernadette Dorizzi, Wojciech Pieczynski, Institut Mines-Telecom, Télécom SudParis, France
IVMSP-P6.13: DETECTING TEXT IN FLOOR MAPS USING HISTOGRAM OF ORIENTED GRADIENTS
Hima Bindu Maguluri, Qiongjie Tian, Baoxin Li, Arizona State University, United States
IVMSP-P7.1: IMAGE SIMILARITY MEASUREMENT FROM SPARSE RECONSTRUCTION ERRORS
Tanaya Guha, Rabab Ward, Tyseer Aboulnasr, University of British Columbia, Canada
IVMSP-P7.2: SIGNAL RICH ART IMAGE — A NEW TOOL FOR AUTOMATIC IDENTIFICATION AND DATA CAPTURE APPLICATIONS USING MOBILE PHONES
Ya-Lin Lee, Wen-Hsiang Tsai, National Chiao Tung University, Taiwan
IVMSP-P7.3: TEXT DETECTION IN BORN-DIGITAL IMAGES USING MULTIPLE LAYER IMAGES
Chao Zeng, Wenjing Jia, Xiangjian He, University of Technology, Sydney, Australia
IVMSP-P7.4: PERFECT RECONSTRUCTABLE DECIMATED TWO-DIMENSIONAL EMPIRICAL MODE DECOMPOSITION FILTER BANKS
Min-Sung Koh, Esteban Rodriguez-Marek, Eastern Washington University, United States
IVMSP-P7.5: A ROBUST FUSION SCHEME FOR MULTIFOCUS IMAGES USING SPARSE FEATURES
Tao Wan, Boston University School of Medicine, United States; Zengchang Qin, Chenchen Zhu, Renjie Liao, Beihang University, China
IVMSP-P7.6: ILLUMINATION-INVARIANT REPRESENTATION FOR NATURAL COLOUR IMAGES THROUGH SIFT MATCHING
Frederic Sur, Université de Lorraine, France
IVMSP-P7.7: TOWARDS OPTIMAL OBJECT BANK FOR SCENE CLASSIFICATION
Lei Zhang, Shouzhi Xie, Harbin Engineering University, China; Xiantong Zhen, University of Sheffield, United Kingdom
IVMSP-P7.8: FAST AND IMPROVED HAND CLASSIFICATION USING DIMENSIONALITY REDUCTION AND TEST SET REDUCTION
Nabil Boughnim, Julien Marot, Caroline Fossati, Salah Bourennane, GSM Team, France; Frédéric Guerault, Intui-sense, France
IVMSP-P7.9: A GEOMETRIC FRAMEWORK FOR REGISTRATION OF SPARSE IMAGES
Alhussein Fawzi, Pascal Frossard, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
IVMSP-P7.10: HOMOGRAPHY ESTIMATION USING LOCAL AFFINE FRAMES
Sagy Zino, Joseph Francos, Ben-Gurion University of the Negev, Israel
IVMSP-P7.11: FAST LOCAL STEREO MATCHING USING TWO-LEVEL ADAPTIVE COST FILTERING
Qingqing Yang, Dongxiao Li, Lianghao Wang, Ming Zhang, Zhejiang University, China
IVMSP-P7.12: ROBUST VHR IMAGE CHANGE DETECTION BASED ON LOCAL FEATURES AND MULTI-SCALE FUSION
Yuan Xu, Chunlei Huo, Shiming Xiang, Chunhong Pan, Chinese Academy of Sciences, China
IVMSP-P7.13: INDOOR FRAME RECOVERING VIA LINE SEGMENTS REFINEMENT AND VOTING
Jun Chu, Anzheng GuoLu, Nanchang Hangkong University, China; Lingfeng Wang, Chunhong Pan, Shiming Xiang, Institute of Automation, Chinese Academy of Sciences, China
IVMSP-P7.14: EFFICIENT GRAPH BASED SPATIAL FACE CONTEXT REPRESENTATION AND MATCHING
Yi-I Chiu, National Cheng Kung University, Taiwan; Congcong Li, Cornell University, United States; Chun-Rong Huang, National Chung Hsing University, Taiwan; Pau-Choo Chung, National Cheng Kung University, Taiwan; Tsuhan Chen, Cornell University, United States
IVMSP-P8.1: K-NN SEARCH USING LOCAL LEARNING BASED ON REGRESSION FOR NEIGHBOR EMBEDDING-BASED IMAGE PREDICTION
Christine Guillemot, INRIA, France; Safa Cherigui, Dominique Thoreau, Technicolor, France
IVMSP-P8.2: CONTENT ADAPTIVE IN-LOOP DEPTH MAP FILTER FOR HEVC BASED 3DV CODING
Jianqiang He, Siwei Ma, Peking University, China; Nan Zhang, Capital Medical University, China; Wen Gao, Peking University, China
IVMSP-P8.3: A SALIENCY-BASED RATE CONTROL FOR PEOPLE DETECTION IN VIDEO
Simone Milani, Riccardo Bernardini, Roberto Rinaldo, University of Udine, Italy, Italy
IVMSP-P8.4: RESIDUAL DPCM FOR LOSSLESS CODING IN HEVC
Yih Han Tan, Chuohao Yeo, Zhengguo Li, Institute for Infocomm Research, Singapore
IVMSP-P8.5: M-CHANNEL MULTIPLE DESCRIPTION CODING BASED ON UNIFORMLY OFFSET QUANTIZERS WITH OPTIMAL DEADZONE
Lili Meng, Beijing Jiaotong University, China; Jie Liang, Simon Fraser University, Canada; Yao Zhao, Huihui Bai, Chunyu Lin, Beijing Jiaotong University, China; Andre Kaup, University of Erlangen-Nuremberg, Germany
IVMSP-P8.6: IMPROVING THE EFFICIENCY OF PREDICTIVE CODERS VIA ADAPTIVE MULTIPLE PREDICTOR COOPERATION
Huseyin Sar, Cihan Topal, Nuray At, Omer Nezih Gerek, Anadolu University, Turkey
IVMSP-P8.7: DESIGNING ANAGLYPHS WITH MINIMAL GHOSTING AND RETINAL RIVALRY
Cecille Adrianne Ochotorena, Carlo Noel Ochotorena, Edwin Sybingco, De La Salle University - Manila, Philippines
IVMSP-P8.8: H.264 COMPRESSED VIDEO CLASSIFICATION USING HISTOGRAM OF ORIENTED MOTION VECTORS (HOMV)
Sovan Biswas, Venkatesh Babu Radhakrishnan, Indian Institute of Science, India
IVMSP-P8.9: QP INITIALIZATION AND INTERVIEW MAD PREDICTION FOR RATE CONTROL IN HEVC-BASED MULTI-VIEW VIDEO CODING
Woong Lim, Kwangwoon University, Republic of Korea; Ivan V. Bajic, Simon Fraser University, Canada; Donggyu Sim, Kwangwoon University, Republic of Korea
IVMSP-P8.10: JOINT SOURCE-CHANNEL CODING OF 3D VIDEO USING MULTIVIEW CODING
Arash Vosoughi, Vanessa Testoni, Pamela Cosman, Laurence Milstein, University of California, San Diego, United States
IVMSP-P8.11: ERROR-RESILIENT DELIVERY OF REGION OF INTEREST VIDEO USING MULTIPLE REPRESENTATION CODING
Sourabh Khire, Georgia Institute of Technology, United States; Arturo Rodriguez, Cisco Systems, United States; Scott Robertson, Nikil Jayant, Georgia Institute of Technology, United States
IVMSP-P8.13: OVERSAMPLED NOISY BINARY IMAGE SENSOR
Feng Yang, Martin Vetterli, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
IVMSP-P8.14: SPARSE SEISMIC IMAGING USING VARIABLE PROJECTION
Aleksandr Aravkin, Tristan van Leeuwen, Ning Tu, University of British Columbia, Canada
IVMSP-P9.1: ANALYSIS OF PATCH-BASED SIMILARITY METRICS: APPLICATION TO DENOISING
Mounira Ebdelli, INRIA, France; Olivier Le Meur, IRISA, France; Christine Guillemot, INRIA, France
IVMSP-P9.2: SPATIAL-AWARENESS SPECTRAL EMBEDDING (SASE) FOR ROBUST SHAPE MATCHING
Huihui Xu, Jundong Liu, Ohio University, United States
IVMSP-P9.3: SPARSE REPRESENTATION FOR OUTLIERS SUPPRESSION IN SEMI-SUPERVISED IMAGE ANNOTATION
Toru Nakashika, Takeshi Okumura, Tetsuya Takiguchi, Yasuo Ariki, Kobe University, Japan
IVMSP-P9.4: FAST BLOCK-BASED ALGORITHMS FOR CONNECTED COMPONENTS LABELING
Diêgo J. C. Santiago, Ing Ren Tsang, George D. C. Cavalcanti, Federal University of Pernambuco, Brazil; Ing Jyh Tsang, Alcatel-Lucent, Belgium
IVMSP-P9.5: A NEAR OPTIMAL PROJECTION FOR SPARSE REPRESENTATION BASED CLASSIFICATION
Sreekanth Raja, Venkatesh Babu Radhakrishnan, Indian Institute of Science, India
IVMSP-P9.6: ILLUMINATION INVARIANT INTENSITY-BASED IMAGE REGISTRATION USING CHAOS THEORY
Michael Farmer, University of Michigan-Flint, United States
IVMSP-P9.7: FUSION OF MULTIMODAL IMAGES USING NON-SUBSAMPLED CONTOURLET TRANSFORM AND ADABOOST SUPPORT VECTOR MACHINE CLASSIFIERS
Egfin Nirmala D, Vignesh Radha Krishnan, B S Abdur Rahman University, India; Vaidehi V, Madras Institute of Technology, Anna University, India
IVMSP-P9.8: COLOR SALIENCY MODEL BASED ON MEAN SHIFT SEGMENTATION
Xu Liu, Zengchang Qin, Xiaofan Zhang, Beihang University, China; Tao Wan, Boston University School of Medicine, United States
IVMSP-P9.9: CHANGE DETECTION ON SAR IMAGES BY A PARAMETRIC ESTIMATION OF THE KL-DIVERGENCE BETWEEN GAUSSIAN MIXTURE MODELS
Qian Xu, Lina Karam, Arizona State University, United States
IVMSP-P9.10: IMAGE CO-SALIENCY DETECTION BY PROPAGATING SUPERPIXEL AFFINITIES
Zhiyu Tan, Liang Wan, Wei Feng, Tianjin University, China; Chi-Man Pun, University of Macau, China
IVMSP-P9.11: A CIRCLE DETECTION APPROACH BASED ON RADON TRANSFORM
Osman Erman Okman, Gozde Bozdagi Akar, Middle East Technical University, Turkey
IVMSP-P9.12: MULTI-COMPONENT/MULTI-MODEL AAM FRAMEWORK FOR FACE IMAGE MODELING
Muhammad Aurangzeb Khan, Costas Xydeas, Hassan Ahmed, Lancaster University, United Kingdom
IVMSP-P10.1: HYPERSPECTRAL ABUNDANCE ESTIMATION FOR THE GENERALIZED BILINEAR MODEL WITH JOINT SPARSITY CONSTRAINT
Qing Qu, The Johns Hopkins University, United States; Nasser Nasrabadi, U.S. Army Research Laboratory, United States; Trac Tran, The Johns Hopkins University, United States
IVMSP-P10.2: BAYESIAN SAR AMPLITUDE IMAGE COMPRESSIVE SENSING BASED ON DIRECTIONAL LIFTING WAVELET TRANSFORM
Xingsong Hou, Lan Zhang, Xi'an Jiaotong University, China; Chen Gong, Qualcomm Research, United States; Lin Xiao, Jinqiang Sun, Xueming Qian, Xi'an Jiaotong University, China
IVMSP-P10.3: ON THE ENDMEMBER IDENTIFIABILITY OF CRAIG’S CRITERION FOR HYPERSPECTRAL UNMIXING: A STATISTICAL ANALYSIS FOR THREE-SOURCE CASE
Chia-Hsiang Lin, ArulMurugan Ambikapathi, Wei-Chiang Li, Chong-Yung Chi, National Tsing Hua University, Taiwan
IVMSP-P10.4: A COMPRESSED SENSING METHOD FOR COMPLEX-VALUED SIGNALS WITH APPLICATION TO THROUGH-THE-WALL RADAR IMAGING
Fok Hing Chi Tivive, Abdesselam Bouzerdoum, University of Wollongong, Australia
IVMSP-P10.5: A ROBUST TEST FOR NONLINEAR MIXTURE DETECTION IN HYPERSPECTRAL IMAGES
Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret, University of Toulouse, France; José Carlos Moreira Bermudez, Federal University of Santa Catarina, Brazil
IVMSP-P10.6: SPARSITY PROMOTING DIMENSIONALITY REDUCTION FOR CLASSIFICATION OF HIGH DIMENSIONAL HYPERSPECTRAL IMAGES
Minshan Cui, Saurabh Prasad, University of Houston, United States
IVMSP-P10.7: JOINT MULTICHANNEL PANSHARPENING FOR MULTISPECTRAL IMAGERY
Hussein Aly, Gaurav Sharma, University of Rochester, United States
IVMSP-P10.8: A NOVEL ENDMEMBER, FRACTIONAL ABUNDANCE, AND CONTRAST MODEL FOR HYPERSPECTRAL IMAGERY
Scott Douglas, LGT Corporation and Southern Methodist University, United States
IVMSP-P10.9: CRAMER-RAO BOUNDS AND INSTRUMENT OPTIMIZATION FOR SLITLESS SPECTROSCOPY
Figen Oktem, Farzad Kamalabadi, University of Illinois at Urbana-Champaign, United States; Joseph Davila, NASA Goddard Space Flight Center, United States
IVMSP-P10.10: NONLINEAR UNMIXING OF HYPERSPECTRAL DATA WITH PARTIALLY LINEAR LEAST-SQUARES SUPPORT VECTOR REGRESSION
Jie Chen, Cédric Richard, André Ferrari, Université de Nice-Sophia Antipolis, France; Paul Honeine, Université de Technologie de Troyes, France
IVMSP-P10.11: SAR AUTOFOCUS BASED ON MINIMUM ENTROPY
Feng Li, Tao Zeng, Rui Wang, Beijing Institute of Technology, China
IVMSP-P10.12: A HYBRID APPROACH FOR TREE CLASSIFICATION IN AIRBORNE LIDAR DATA
Xiaoling Li, Wenjun Zeng, Ye Duan, University of Missouri, United States
IVMSP-P10.13: USING MAXIMUM CONSISTENCY CONTEXT FOR MULTIPLE TARGET ASSOCIATION IN WIDE AREA TRAFFIC SCENES
Xinchu Shi, NLPR, CAS, China; Peiyi Li, Haibin Ling, Temple University, United States; Weiming Hu, NLPR, CAS, China; Erik Blasch, Air Force Research Laboratory, United States
IVMSP-P10.14: EXPLOITING STRUCTURAL COMPLEXITY FOR ROBUST AND RAPID HYPERSPECTRAL IMAGING
Gregory Ely, Shuchin Aeron, Eric Miller, Tufts University, United States
IVMSP-P11.1: FACE HALLUCINATION VIA WEIGHTED SPARSE REPRESENTATION
Zhongyuan Wang, Junjun Jiang, Wuhan University, China; Zixiang Xiong, Texas A&M University, United States; Ruimin Hu, Zhenfeng Shao, Wuhan University, China
IVMSP-P11.2: MULTI-VIEW FACE HALLUCINATION BASED ON SPARSE REPRESENTATION
Zhuo Hui, Kin-Man Lam, The Hong Kong Polytechnic University, Hong Kong SAR of China
IVMSP-P11.3: RANDOM WALK MODELS FOR GEOMETRY-DRIVEN IMAGE SUPER-RESOLUTION
Ronan Fablet, Brahim Boussidi, Insitut Mines-Telecom/Telecom Bretagne, France; Emmanuelle Autret, Bertrand Chapron, Ifremer, France
IVMSP-P11.4: SUPER-RESOLUTION RECONSTRUCTION OF HIGH DYNAMIC RANGE IMAGES WITH PERCEPTUAL WEIGHTING OF ERRORS
Tomas Bengtsson, Tomas McKelvey, Irene Yu-Hua Gu, Chalmers University of Technology, Sweden
IVMSP-P11.5: ARBITRARY FACTOR IMAGE INTERPOLATION USING GEODESIC DISTANCE WEIGHTED 2D AUTOREGRESSIVE MODELING
Ketan Tang, Oscar C. Au, Yuanfang Guo, Jiahao Pang, Jiali Li, Hong Kong University of Science and Technology, Hong Kong SAR of China
IVMSP-P11.6: COMPACT AND COHERENT DICTIONARY CONSTRUCTION FOR EXAMPLE-BASED SUPER-RESOLUTION
Marco Bevilacqua, Aline Roumy, Christine Guillemot, INRIA, France; Marie-Line Alberi Morel, Alcatel-Lucent, France
IVMSP-P11.7: SUB-SPOT LOCALIZATION FOR SPATIAL SUPER-RESOLVED LIDAR
Juan Castorena, Charles Creusere, New Mexico State University, United States
IVMSP-P11.8: SCALABLE IMAGE REPRESENTATION USING IMPROVED RETARGETING PYRAMID
Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan; Keiichiro Shirai, Shinshu University, Japan
IVMSP-P11.9: A NONLINEAR DICTIONARY FOR IMAGE RECONSTRUCTION
Mathiruban Tharmalingam, Kaamran Raahemifar, Ryerson University, Canada
IVMSP-P11.10: AN INVESTIGATION INTO ALIASING IN IMAGES RECAPTURED FROM AN LCD MONITOR USING A DIGITAL CAMERA
Hani Muammar, Pier Luigi Dragotti, Imperial College London, United Kingdom
IVMSP-P11.11: SINGLE IMAGE-BASED DEPTH ESTIMATION USING DUAL OFF-AXIS COLOR FILTERED APERTURE CAMERA
Seungwon Lee, Nahyun Kim, Kyungwon Jung, Monson H. Hayes, Joonki Paik, Chung-Ang University, Republic of Korea
IVMSP-P11.12: EFFICIENT IMAGE RESAMPLING FOR MULTIVIEW DISPLAYS
Michael Schaffner, Pierre Greisen, ETH Zurich, Disney Research Zurich, Switzerland; Simon Heinzle, Aljoscha Smolic, Disney Research Zurich, Switzerland
IVMSP-P11.13: SEISMIC MULTIPLE REMOVAL WITH A PRIMAL-DUAL PROXIMAL ALGORITHM
Mai Quyen Pham, IFPEN, France; Caroline Chaux, Aix-Marseille Université, France; Laurent Duval, IFPEN, France; Jean-Christophe Pesquet, Univ. Paris-Est, France
IVMSP-P12.1: QUASI-RANDOM SEARCH ALGORITHM FOR FAST MOTION ESTIMATION
Robson Lins, Catholic University of Pernambuco, Brazil; Diogo Henriques, Federal University of Pernambuco, Brazil; Emerson Lima, University of Pernambuco, Brazil; Silvio Melo, Federal University of Pernambuco, Brazil
IVMSP-P12.2: OPTICAL FLOW FOR COMPRESSIVE SENSING VIDEO RECONSTRUCTION
Henry Braun, Pavan Turaga, Cihan Tepedelenlioglu, Andreas Spanias, Arizona State University, United States
IVMSP-P12.3: SALIENT-MOTION-HEURISTIC SCHEME FOR FAST 3D OPTICAL FLOW ESTIMATION USING RGB-D DATA
Can Wang, Hong Liu, Peking University, China
IVMSP-P12.4: SUBFRAME VIDEO SYNCHRONIZATION BY MATCHING TRAJECTORIES
Yuanyuan Wu, Xiaohai He, Sichuan University, China; Truong Nguyen, University of California, San Diego, United States
IVMSP-P12.5: SILK: SCALE-SPACE INTEGRATED LUCAS-KANADE IMAGE REGISTRATION FOR SUPER-RESOLUTION FROM VIDEO
Joseph Lee, Ricardo Gutierrez-Osuna, Texas A&M University, United States; S. Susan Young, U.S. Army Research Laboratory, United States
IVMSP-P12.6: MULTI-MODAL TOPIC UNIT SEGMENTATION IN VIDEOS USING CONDITIONAL RANDOM FIELDS
Su Xu, Bailan Feng, Bo Xu, Institute of Automation, Chinese Academy of Sciences, China
IVMSP-P12.7: GENERATING FLUENT TUBES IN VIDEO SYNOPSIS
Minlong Lu, Yueming Wang, Gang Pan, Zhejiang University, China
IVMSP-P12.8: ON-LINE BOOSTING BASED REAL-TIME TRACKING WITH EFFICIENT HOG
Shuifa Sun, Qing Guo, Fangmin Dong, Bangjun Lei, China Three Gorges University, China
IVMSP-P12.9: RE-IDENTIFYING PEOPLE IN THE WILD
Javier Oliver, Alberto Albiol, Antonio Albiol, Jose Manuel Mossi, Universitat Politècnica de València, Spain
IVMSP-P12.10: DUAL-LAYER PARTICLE FILTERING FOR SIMULTANEOUS MULTIPLE OBJECTS DETECTION AND TRACKING
Kyungwon Jung, Nahyun Kim, Seungwon Lee, Joonki Paik, Chung-Ang University, Republic of Korea
IVMSP-P12.11: MULTI-OBJECT TRACKING USING SPARSE REPRESENTATION
Weizhi Lu, Cong Bai, Kidiyo Kpalma, Joseph Ronsin, Institut National des Sciences Appliquées, Rennes (INSA-Rennes), France
IVMSP-P12.12: A TWO LAYERED DATA ASSOCIATION APPROACH FOR BALL TRACKING
Xiangzeng Zhou, Northwestern Polytechnical University, China; Qiang Huang, University of East Anglia, United Kingdom; Lei Xie, Northwestern Polytechnical University, China; Stephen Cox, University of East Anglia, United Kingdom
IVMSP-P12.13: SELF-ORGANIZED AND SCALABLE CAMERA NETWORKS FOR SYSTEMATIC HUMAN TRACKING ACROSS NONOVERLAPPING CAMERAS
Chun-Te Chu, Kuan-Hui Lee, Jenq-Neng Hwang, University of Washington, United States
IVMSP-P12.14: ONLINE STRUCTURED HOUGH FORESTS FOR VISUAL TRACKING
Tao Qin, Bineng Zhong, Hanzi Wang, Xiamen University, China
IVMSP-P13.1: DISGUISED FACE RECOGNITION VIA LOCAL PHASE QUANTIZATION PLUS GEOMETRY COVERAGE
Yikui Zhai, Junying Gan, Junying Zeng, Ying Xu, Wuyi University, China
IVMSP-P13.2: AGE ESTIMATION FROM HUMAN BODY IMAGES
Yongxin Ge, Chongqing University, China; Jiwen Lu, Advanced Digital Sciences Center, Singapore; Fan Wu, Dan Yang, Chongqing University, China
IVMSP-P13.3: MAKEUP-ROBUST FACE VERIFICATION
Junlin Hu, Nanyang Technological University, Singapore; Yongxin Ge, Chongqing University, China; Jiwen Lu, Advanced Digital Sciences Center, Singapore; Xin Feng, Chongqing University of Technology, China
IVMSP-P13.4: CHIMPANZEE IDENTIFICATION USING GLOBAL AND LOCAL FEATURES
Alexander Loos, Fraunhofer Institute for Digital Media Technology (IDMT), Germany
IVMSP-P13.5: PATCH-WISE LOW-DIMENSIONAL PROBABILISTIC LINEAR DISCRIMINANT ANALYSIS FOR FACE RECOGNITION
Vitomir Štruc, Nikola Pavešic, University of Ljubljana, Slovenia; Jerneja Žganec-Gros, Boštjan Vesnicer, Alpineon Ltd., Slovenia
IVMSP-P13.6: ON THE VULNERABILITY OF FACE RECOGNITION SYSTEMS TO SPOOFING MASK ATTACKS
Neslihan Kose, Jean-Luc Dugelay, EURECOM, France
IVMSP-P13.7: ACTIVITY-BASED HUMAN IDENTIFICATION
Tzu-Yi Hung, Nanyang Technological University, Singapore; Jiwen Lu, Advanced Digital Sciences Center, Singapore; Junlin Hu, Yap-Peng Tan, Nanyang Technological University, Singapore; Yongxin Ge, Chongqing University, China
IVMSP-P13.8: LIVENESS DETECTION USING FREQUENCY ENTROPY OF IMAGE SEQUENCES
Ting-Wei Lee, Gwo-Hwa Ju, Heng-Sung Liu, Yu-Shan Wu, Chunghwa Telecommunication Laboratories, Taiwan
IVMSP-P13.9: DYNAMIC TIME WARPING FOR GESTURE-BASED USER IDENTIFICATION AND AUTHENTICATION WITH KINECT
Jonathan Wu, Janusz Konrad, Prakash Ishwar, Boston University, United States
IVMSP-P14.1: HUMAN DETECTION USING DISCRIMINATIVE AND ROBUST LOCAL BINARY PATTERN
Amit Satpathy, Xudong Jiang, Nanyang Technological University, Singapore; How-Lung Eng, Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore
IVMSP-P14.2: CONSTRUCTION OF AN ORTHONORMAL COMPLEX MULTIRESOLUTION RESOLUTION ANALYSIS
Liying Wei, Thierry Blu, The Chinese University of Hong Kong, Hong Kong SAR of China
IVMSP-P14.3: COMPRESSIVE TEMPLATE MATCHING ON MULTISPECTRAL DATA
Sylvain Rousseau, David Helbert, Philippe Carré, University of Poitiers, France; Jacques Blanc-Talon, General Delegation for Armaments, France
IVMSP-P14.4: TANDEM HMM WITH CONVOLUTIONAL NEURAL NETWORK FOR HANDWRITTEN WORD RECOGNITION
Théodore Bluche, A2iA, France; Hermann Ney, RWTH Aachen University, Germany; Christopher Kermorvant, A2iA, France
IVMSP-P14.5: LEARNING WEIGHTED HAMMING DISTANCE FOR BINARY DESCRIPTORS
Bin Fan, Qingqun Kong, Institute of Automation, Chinese Academy of Sciences, China; Xiaotong Yuan, Rutgers University, United States; Zhiheng Wang, Henan Polytechnic University, China; Chunhong Pan, Institute of Automation, Chinese Academy of Sciences, China
IVMSP-P14.6: DYNAMIC TEXTURE RECOGNITION USING ENHANCED LBP FEATURES
Jianfeng Ren, Xudong Jiang, Junsong Yuan, Nanyang Technological University, Singapore
IVMSP-P14.7: INSPECTION OF SPECULAR SURFACES USING OPTIMIZED M-CHANNEL WAVELETS
Tan-Toan Le, Pforzheim University, Germany; Mathias Ziebarth, Karlsruhe Institute of Technology (KIT), Germany; Thomas Greiner, Pforzheim University, Germany; Michael Heizmann, Karlsruhe Institute of Technology (KIT), Germany
IVMSP-P14.8: FACE DETECTION IN MOBILE PHONES USING CO-OCCURRENCE OF ADJACENT LOCAL BINARY PATTERNS
Jeaff Wang, Dohyoung Lee, Konstantinos N. Plataniotis, University of Toronto, Canada
IVMSP-P14.9: COMBINING SPARSE APPEARANCE FEATURES AND DENSE MOTION FEATURES VIA RANDOM FOREST FOR ACTION DETECTION
Shuang Yang, Chunfeng Yuan, Chinese Academy of Sciences, China; Haoran Wang, Southeast University, China; Weiming Hu, Chinese Academy of Sciences, China
IVMSP-P14.10: DESIGNING RELEVANT FEATURES FOR VISUAL SPEECH RECOGNITION
Eric Benhaim, Hichem Sahbi, Télécom ParisTech, France; Guillaume Vitte, Parrot SA, France
IVMSP-P14.11: EFFICIENT SUPERVISED DIMENSIONALITY REDUCTION FOR IMAGE CATEGORIZATION
Rachid Benmokhtar, Jonathan Delhumeau, Philippe-Henri Gosselin, INRIA Bretagne Atlantique, France
IVMSP-P14.12: EXTRACTION AND ALIGNMENT EVALUATION OF MOTION BEATS FOR STREET DANCE
Chieh Ho, Wei-Tze Tsai, Keng-Sheng Lin, Homer H. Chen, National Taiwan University, Taiwan
IVMSP-P14.13: APPEARANCE BASED OBJECT TRACKING IN STEREO SEQUENCES
Olga Zoidi, Nikos Nikolaidis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
IVMSP-P14.14: VARIATIONAL BAYESIAN INFERENCE FOR STEREO OBJECT TRACKING
Giannis Chantas, Nikos Nikolaidis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
IVMSP-P15.1: HIGH EFFICIENT CONTRAST ENHANCEMENT USING PARAMETRIC APPROXIMATION
Yun-Fu Liu, Jing-Ming Guo, Bo-Syun Lai, Jiann-Der Lee, National Taiwan University of Science and Technology, Taiwan
IVMSP-P15.2: COLOR FACIAL IMAGE DENOISING BASED ON RPCA AND NOISY PIXEL DETECTION
Zhaojun Yuan, Xudong Xie, Xiaolong Ma, Tsinghua University, China; Kin-Man Lam, The Hong Kong Polytechnic University, China
IVMSP-P15.3: WAVELENGTH-ADAPTIVE IMAGE FORMATION MODEL AND GEOMETRIC CLASSIFICATION FOR DEFOGGING UNMANNED AERIAL VEHICLE IMAGES
Inhye Yoon, Monson H. Hayes, Joonki Paik, Chung-Ang University, Republic of Korea
IVMSP-P15.4: EXAMPLE-BASED BRIGHTNESS AND CONTRAST ENHANCEMENT
Rajesh Narasimha, Aziz Umit Batur, Texas Instruments Inc., United States
IVMSP-P15.5: DARK CHANNEL PRIOR-BASED SPATIALLY ADAPTIVE CONTRAST ENHANCEMENT FOR BACK LIGHTING COMPENSATION
Jaehyun Im, Inhye Yoon, Monson H. Hayes, Joonki Paik, Chung-Ang University, Republic of Korea
IVMSP-P15.6: SINGLE IMAGE HAZE REMOVAL WITH WLS-BASED EDGE-PRESERVING SMOOTHING FILTER
Dubok Park, Korea University, Republic of Korea; David K. Han, Office of Naval Research, United States; Hanseok Ko, Korea University, Republic of Korea
IVMSP-P15.7: KERNEL SMOOTHING FOR JAGGED EDGE REDUCTION
Mohammad Aghagolzadeh, Michigan State University, United States; Andrew Segall, Sharp Laboratories of America, United States
IVMSP-P15.8: AN INTEGER TONE MAPPING OPERATION FOR HDR IMAGES EXPRESSED IN FLOATING POINT DATA
Tatsuya Murofushi, Tokyo Metropolitan University, Japan; Masahiro Iwahashi, Nagaoka University of Technology, Japan; Hitoshi Kiya, Tokyo Metropolitan University, Japan
IVMSP-P15.9: A DEHAZING ALGORITHM USING DARK CHANNEL PRIOR AND CONTRAST ENHANCEMENT
Tae Ho Kil, Sang Hwa Lee, Nam Ik Cho, Seoul National University, Republic of Korea
IVMSP-P15.10: A GENERIC DEMOSAICING ALGORITHM BASED ON A DIFFUSION MODEL
Alain Horé, Djemel Ziou, Marie-Flavie Auclair-Fortier, University of Sherbrooke, Canada
IVMSP-P15.11: 3D ROTATIONAL VIDEO STABILIZATION USING MANIFOLD OPTIMIZATION
Chao Jia, Brian Evans, The University of Texas at Austin, United States
IVMSP-P15.12: HYBRID COMPONENT SUBSTITUTION AND WAVELET BASED IMAGE FUSION
Syed Sohaib Ali, Muhammad Mohsin Riaz, Abdul Ghafoor, National University of Sciences and Technology, Pakistan
IVMSP-P15.13: COMPRESSIVE SENSING-BASED IMAGE DENOISING USING ADAPTIVE MULTIPLE SAMPLING AND OPTIMAL ERROR TOLERANCE
Wonseok Kang, Eunsung Lee, Eunjung Chea, Chung-Ang University, Republic of Korea; Aggelos K. Katsaggelos, Northwestern University, United States; Joonki Paik, Chung-Ang University, Republic of Korea
IVMSP-P15.14: ADAPTIVE DEBLOCKING AND DERINGING OF H.264/AVC VIDEO SEQUENCES
Ehsan Nadernejad, Nino Burini, Søren Forchhammer, Technical University of Denmark, Denmark
DISPS-L1.1: DATA STORAGE TIME SENSITIVE ECC SCHEMES FOR MLC NAND FLASH MEMORIES
Chengen Yang, Deepak Muckatira, Aditya Kulkarni, Chaitali Chakrabarti, Arizona State University, United States
DISPS-L1.2: SOFT-DECISION DECODING WITH CELL TO CELL INTERFERENCE REMOVED SIGNAL IN NAND FLASH MEMORY
Dong-Hwan Lee, Wonyong Sung, Seoul National University, Republic of Korea
DISPS-L1.3: REDUCED-COMPLEXITY BINARY-WEIGHT-CODED ASSOCIATIVE MEMORIES
Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Warren J. Gross, McGill University, Canada
DISPS-L1.4: EFFICIENT VLSI IMPLEMENTATION OF REDUCED-STATE SEQUENCE ESTIMATION FOR WIRELESS COMMUNICATIONS
Stefan Zwicky, Christian Benkeser, Swiss Federal Institute of Technology, Zurich, Switzerland; Andreas Burg, Swiss Federal Institute of Technology, Lausanne, Switzerland; Qiuting Huang, Swiss Federal Institute of Technology, Zurich, Switzerland
DISPS-L1.5: A SUB-100-MILLIWATT DUAL-CORE HOG ACCELERATOR VLSI FOR REAL-TIME MULTIPLE OBJECT DETECTION
Kenta Takagi, Kosuke Mizuno, Shintaro Izumi, Hiroshi Kawaguchi, Masahiko Yoshimoto, Kobe University, Japan
DISPS-L1.6: A COMPACT PROGRAMMABLE ANALOG CLASSIFIER USING A VMM + WTA NETWORK
Shubha Ramakrishnan, Jennifer Hasler, Georgia Institute of Technology, United States
DISPS-L2.1: SOFT-THRESHOLDING ORTHOGONAL MATCHING PURSUIT FOR EFFICIENT SIGNAL RECONSTRUCTION
Guoxian Huang, Lei Wang, University of Connecticut, United States
DISPS-L2.2: INDOOR 3D NAVIGATION AND POSITIONING OF VEHICLES IN MULTI-STOREY PARKING GARAGES
Jayaprasad Bojja, Martti Kirkko-Jaakkola, Jussi Collin, Jarmo Takala, Tampere University of Technology, Finland
DISPS-L2.3: A SPEECH EMOTION RECOGNITION FRAMEWORK BASED ON LATENT DIRICHLET ALLOCATION: ALGORITHM AND FPGA IMPLEMENTATION
Mohit Shah, Lifeng Miao, Chaitali Chakrabarti, Andreas Spanias, Arizona State University, United States
DISPS-L2.4: LIGHT CURTAIN LOCALIZATION VIA COMPRESSIVE SENSING
Graeme Pope, Michael Lerjen, Steven Müllener, Simon Schläpfer, Thomas Walti, Johannes Widmer, ETH Zurich, Switzerland; Christoph Studer, Rice University, United States
DISPS-L2.5: TESTBED FOR NON-COHERENT ZERO-FEEDBACK DISTRIBUTED BEAMFORMING
George Sklivanitis, Konstantinos Alexandris, Aggelos Bletsas, Technical University of Crete, Greece
DISPS-L2.6: DYNAMICALLY GENERATING FFT CODE ON MOBILE DEVICES
Anthony Blake, University of Waikato, New Zealand
DISPS-P1.1: AN RNS-BASED ARCHITECTURE TARGETING HARDWARE ACCELERATORS FOR MODULAR ARITHMETIC
Samuel Antao, Leonel Sousa, INESC-ID / Insituto Superior Tecnico - Technical University of Lisbon, Portugal
DISPS-P1.2: PARTICLE STATE COMPRESSION SCHEME FOR CENTRALIZED MEMORY-EFFICIENT PARTICLE FILTERS
Qinglin Tian, Yun Pan, Xiaolang Yan, Zhejiang University, China; Ning Zheng, Rensselaer Polytechnic Institute, United States; Ruohong Huan, Zhejiang University of Technology, China
DISPS-P1.3: ON THE CONTENTION-FREE AND SPREAD CHARACTERISTICS OF SERIALLY-PRUNED INTERLEAVERS
Mohammad Mansour, American University of Beirut, Lebanon
DISPS-P1.4: BRUTE-FORCE SEARCH OF FAST CONVOLUTION ALGORITHMS
Steve Haynal, SofterHardware, United States; Heidi Haynal, Walla Walla University, United States
DISPS-P1.5: FINITE-PRECISION ERROR MODELING USING AFFINE ARITHMETIC
Shervin Vakili, Pierre Langlois, Guy Bois, École Polytechnique de Montréal, Canada
DISPS-P1.6: A MULTI-RESOLUTION SALIENCY FRAMEWORK TO DRIVE FOVEATION
Siddharth Advani, John Sustersic, Kevin Irick, Vijaykrishnan Narayanan, The Pennsylvania State University, United States
DISPS-P1.7: HARDWARE-DRIVEN COMPRESSIVE SAMPLING FOR FAST TARGET LOCALIZATION USING SINGLE-CHIP UWB RADAR SENSOR
Sungwon Lee, Chenliang Du, Hossein Hashemi, Antonio Ortega, University of Southern California, United States
DISPS-P1.8: CYCLE EFFICIENT BIT RATE MATCHING FOR LTE-A WITH INSRUCTIONS SUPPORT
Jui-Chieh Lin, Yu Hen Hu, University of Wisconsin-Madison, United States
DISPS-P1.9: DATA MEMORY OPTIMIZATION IN LTE DOWNLINK
Namita Sharma, Indian Institute of Technology Delhi, India; Tom Vander Aa, Prashant Agrawal, Praveen Raghavan, IMEC, Belgium; Preeti Ranjan Panda, Indian Institute of Technology Delhi, India; Francky Catthoor, IMEC, Belgium
DISPS-P1.10: EFFICIENT TASK ASSIGNMENT AND SCHEDULING FOR MPSOC DSPS WITH VS-SPM CONSIDERING CONCURRENT ACCESSES THROUGH DATA ALLOCATION
Shouzhen Gu, Qingfeng Zhuge, Chongqing University, China; Jingtong Hu, The University of Texas at Dallas, United States; Juan Yi, Chongqing University, China; Edwin H.-M. Sha, The University of Texas at Dallas, United States
DISPS-P1.11: STATIC AND QUASI-STATIC COMPOSITIONS OF STREAM PROCESSING APPLICATIONS FROM DYNAMIC DATAFLOW PROGRAMS
Johan Ersfolk, Abo Akademi University, Finland; Ghislain Roquier, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland; Wictor Lund, Abo Akademi University, Finland; Marco Mattavelli, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland; Johan Lilius, Abo Akademi University, Finland
DISPS-P1.12: COST-EFFECTIVE SCALABLE QC-LDPC DECODER DESIGNS FOR NON-VOLATILE MEMORY SYSTEMS
Ming-Han Chung, Yu-Min Lin, Cheng-Zhou Zhan, An-Yeu (Andy) Wu, National Taiwan University, Taiwan
DISPS-P1.13: ACCELERATING COMPUTER VISION ALGORITHMS USING OPENCL FRAMEWORK ON THE MOBILE GPU - A CASE STUDY
Guohui Wang, Rice University, United States; Yingen Xiong, Jay Yun, Qualcomm Incorporated, United States; Joseph R. Cavallaro, Rice University, United States
DISPS-P2.1: 41.7BN-PIXELS/S RECONFIGURABLE INTRA PREDICTION ARCHITECTURE FOR HEVC 2560X1600 ENCODER
Zhenyu Liu, Dongsheng Wang, Tsinghua University, China; Hongxiang Zhu, Xiaodong Huang, Northwestern Polytechnical University, China
DISPS-P2.2: 4X4/8X8/12X12 RECONFIGURABLE MIMO DETECTOR ON MULTI-CORE DSP BASED ON EIGEN DECOMPOSITION OF DATAFLOW GRAPH
Sheng-Hung Wu, National Tsing Hua University, Taiwan; Chien-Yu Kao, Jen-Yuan Hsu, Pang-An Ting, Industrial Technology Research Institute, Taiwan; Gwo-Giun Lee, National Cheng Kung University, Taiwan; Yuan-Hao Huang, National Tsing Hua University, Taiwan
DISPS-P2.3: A PARALLEL IMPLEMENTATION METHOD OF FFT-BASED FULL-SEARCH BLOCK MATCHING ALGORITHMS
Toshiyuki Dobashi, Hitoshi Kiya, Tokyo Metropolitan University, Japan
DISPS-P2.4: A NOVEL AND EFFICIENT MULTI-RESOLUTION CHANNELIZER FOR SOFTWARE DEFINED RADIO
Fred Harris, Elettra Venosa, Xiaofei Chen, San Diego State University, United States; Chris Dick, Xilinx, United States; Brent Adams, Raytheon, United States
DISPS-P2.5: ARCHITECTURE OPTIMIZATIONS FOR BP POLAR DECODERS
Bo Yuan, Keshab K. Parhi, University of Minnesota, Twin cities, United States
DISPS-P2.6: FAST PCA-BASED FACE RECOGNITION ON GPUS
Youngsang Woo, Cheongyong Yi, Youngmin Yi, University of Seoul, Republic of Korea
DISPS-P2.7: PROGRAMMABLE LOW POWER IMPLEMENTATION OF THE HEVC ADAPTIVE LOOP FILTER
Ilkka Hautala, Jani Boutellier, Jari Hannuksela, University of Oulu, Finland
DISPS-P2.8: PROCESSOR BASED 20MHZ 4X4 CAT-5 LTE MIMO RECEIVER WITH ADVANCED DETECTORS
Min Li, IMEC vzw, Belgium; Amir Amin, Rodolfo Torrea, Ubaid Ahmad, Raf Appeltans, Antoine Dejonghe, Liesbet Van Der Perre, IMEC, Belgium
DISPS-P2.9: A FAST AND EFFICIENT SIFT DETECTOR USING THE MOBILE GPU
Blaine Rister, Guohui Wang, Michael Wu, Joseph R. Cavallaro, Rice University, United States
DISPS-P2.10: IMPLEMENTATION TRADE-OFFS FOR LINEAR DETECTION IN LARGE-SCALE MIMO SYSTEMS
Bei Yin, Michael Wu, Christoph Studer, Joseph R. Cavallaro, Rice University, United States; Chris Dick, Xilinx, United States
DISPS-P2.11: GPU BASED IMPLEMENTATION OF RECURSIVE DIGITAL FILTERING ALGORITHMS
Dong-Hwan Lee, Wonyong Sung, Seoul National University, Republic of Korea
DISPS-P2.12: PORTABLE PARALLEL KERNELS FOR HIGH-SPEED BEAMFORMING IN SYNTHETIC APERTURE ULTRASOUND IMAGING
Joao Amaro, Gabriel Falcao, University of Coimbra, Portugal; Billy Y. S. Yiu, Alfred C. H. Yu, Medical Engineering Program, The University of Hong Kong, Hong Kong SAR of China
DISPS-P2.13: HARDWARE-EFFICIENT STEREO ESTIMATION USING A RESIDUAL-BASED APPROACH
Abhishek A. Sharma, Kaustubh Neelathalli, Diana Marculescu, Carnegie Mellon University, United States; Eriko Nurvitadhi, Intel Science & Technology Center on Embedded Computing, United States
DISPS-P3.1: ARCHITECTURES FOR DIGITAL FILTERS USING STOCHASTIC COMPUTING
Yun-Nan Chang, National Sun Yat-sen University, Taiwan; Keshab K. Parhi, University of Minnesota, United States
DISPS-P3.2: DEPTH-BASED POSTURE RECOGNITION BY RADAR AND VISION FUSION FOR REAL-TIME APPLICATIONS
I-Cheng Tsai, Ching-Te Chiu, National Tsing Hua University, Taiwan
DISPS-P3.3: SIMPLIFIED FLOATING-POINT DIVISION AND SQUARE ROOT
Timo Viitanen, Pekka Jääskeläinen, Otto Esko, Jarmo Takala, Tampere University of Technology, Finland
DISPS-P3.4: ADAPTIVE FILTER BASED LOW COMPLEXITY DIGITAL INTENSIVE HARMONIC REJECTION FOR SDR RECEIVER
Chunshu Li, Min Li, Marian Verhelst, Sofie Pollin, Andre Bourdoux, Liesbet Van Der Perre, IMEC, Belgium
DISPS-P3.5: SNR EFFICIENT APPROACH FOR THE DESIGN OF HYBRID FILTER BANK A/D CONVERTERS
Abla Kammoun, Caroline Lelandais-Perrault, Mérouane Debbah, Supélec, France
DISPS-P3.6: COMPARISON OF DIFFERENT PARALLEL IMPLEMENTATIONS FOR DEBLOCKING FILTER OF HEVC
Anand Meher Kotra, Mickaël Raulet, Olivier Deforges, IETR-INSA, France
DISPS-P3.7: A LOW-POWER VGA FULL-FRAME FEATURE EXTRACTION PROCESSOR
Dongsuk Jeon, Yejoong Kim, Inhee Lee, Zhengya Zhang, David Blaauw, Dennis Sylvester, University of Michigan, United States
DISPS-P3.8: STATISTICAL ANALYSIS OF ALGORITHMIC NOISE TOLERANCE
Eric Kim, Naresh Shanbhag, University of Illinois at Urbana-Champaign, United States
DISPS-P3.9: ENERGY-EFFICIENT DETECTION SYSTEM IN TIME-VARYING SIGNAL AND NOISE POWER
Long Le, David Jun, Douglas Jones, University of Illinois at Urbana-Champaign, United States
DISPS-P3.10: REAL-TIME HARDWARE IMPLEMENTATION OF MULTI-RESOLUTION IMAGE BLENDING
Vladan Popovic, Kerem Seyid, Alexandre Schmid, Yusuf Leblebici, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
DISPS-P3.11: CONFIGURABLE, RESOURCE-OPTIMIZED FFT ARCHITECTURE FOR OFDM COMMUNICATION
Inkeun Cho, Chung-Ching Shen, University of Maryland, United States; Yahia Tachwali, Chia-Jui Hsu, Agilent Technologies Incorporation, United States; Shuvra Bhattacharyya, University of Maryland, United States
DISPS-P3.12: ON-CHIP IMPLEMENTATION OF MEMORY MAPPING ALGORITHM TO SUPPORT FLEXIBLE DECODER ARCHITECTURE
Saeed-ur Rehman, Awais Sani, Philippe Coussy, Cyrille Chavet, Université de Bretagne-Sud, France
DISPS-P3.13: SOFT-CORE STREAM PROCESSING ON FPGA: AN FFT CASE STUDY
Peng Wang, John McAllister, Yun Wu, Queen's University Belfast, United Kingdom
DISPS-P3.14: HD VIDEO DECODING SCHEME BASED ON MOBILE HETEROGENEOUS SYSTEM ARCHITECTURE
Yu-Jung Chen, Yu-Sheng Lin, Hsin-Fang Wu, Chia-Ming Chang, Shao-Yi Chien, National Taiwan University, Taiwan
ITT-L1.1: DIGITAL BACKGROUND CALIBRATION FOR PIPELINED ADCS
Kun Shi, Arthur Redfern, Texas Instruments Inc., United States
ITT-L1.2: PROCESSOR ARCHITECTURE FOR SOFTWARE IMPLEMENTATION OF MULTI-SECTOR G-RAKE RECEIVERS FOR HSUPA WIRELESS INFRASTRUCTURE
Dheeraj Sreedhar, Jeff Derby, Augusto Vega, Brian Rogers, Charles Johnson, Robert Montoye, IBM, India
ITT-L1.3: RECEIVE SIGNAL PROCESSING FOR OFDM-BASED RADAR IMAGING
Jose Gutierrez del Arroyo, Julie Jackson, Michael Temple, Air Force Institute of Technology, United States
ITT-L1.4: DETECTION PERFORMANCE ANALYSIS OF AN ULTRASONIC PRESENCE SENSOR
David Caicedo, Ashish Pandharipande, Philips Research, Netherlands; Frans M. J. Willems, Eindhoven University of Technology, Netherlands
ITT-L1.5: AN AUTO-FOCUSING NOISE SUPPRESSOR FOR CELLPHONE MOVIES BASED ON PEAK PRESERVATION AND PHASE RANDOMIZATION
Ryoji Miyahara, NECE Engineering Ltd., Japan; Akihiko Sugiyama, NEC Corporation, Japan
ITT-L1.6: A ROBUST SIGNAL-FLOW ARCHITECTURE FOR COOPERATIVE VEHICLE DENSITY CONTROL
Thomas Baran, Berthold Horn, Massachusetts Institute of Technology, United States
ITT-P1.1: ICA-BASED ACCELERATION OF PROBABILISTIC LATENT COMPONENT ANALYSIS FOR MASS SPECTROMETRY-BASED EXPLOSIVES DETECTION
Yohei Kawaguchi, Masahito Togami, Hisashi Nagano, Yuichiro Hashimoto, Masuyuki Sugiyama, Yasuaki Takada, Hitachi, Ltd., Japan
ITT-P1.2: ANOMALY DETECTION OF MOTORS WITH FEATURE EMPHASIS USING ONLY NORMAL SOUNDS
Yumi Ono, Yoshifumi Onishi, Takafumi Koshinaka, Soichiro Takata, Osamu Hoshuyama, NEC Corporation, Japan
ITT-P1.3: TOWARDS PREDICTION OF DRIVING BEHAVIOR VIA BASIC PATTERN DISCOVERY WITH BP-AR-HMM
Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Tomohiro Shibata, Nara Institute of Science and Technology, Japan; Takashi Bando, Masumi Egawa, DENSO CORPORATION, Japan
ITT-P1.4: A BEHAVIOR CLUSTER BASED AVAILABILITY PREDICTION APPROACH FOR NODES IN DISTRIBUTION NETWORKS
Jiali You, Jiao Xue, Jinlin Wang, Institute of Acoustics, Chinese Academy of Sciences, China
ITT-P1.5: MODEL-BASED QOE PREDICTION TO ENABLE BETTER USER EXPERIENCE FOR VIDEO TELECONFERENCING
Liangping Ma, InterDigital Communications, LLC, United States; Tianyi Xu, University of Delaware, United States; Gregory Sternberg, Balasubramanian Anantharaman, Ariela Zeira, InterDigital Communications, LLC, United States
ITT-P1.6: TWO DIMENSIONAL COLOR CALIBRATION FOR FOUR PRIMARY DISPLAYS
Carlos Rodriguez-Pardo, Gaurav Sharma, University of Rochester, United States; Xiao-Fan Feng, Sharp Laboratories of America, United States
ITT-P1.7: TOWARDS A CLINICAL TOOL FOR AUTOMATIC INTELLIGIBILITY ASSESSMENT
Visar Berisha, Rene Utianski, Julie Liss, Arizona State University, United States
ITT-P1.8: COMPUTATION OF PARAMETERS IN NMR USING INTEGRAL TRANSFORMS: TAPERED AREAS
Fred K. Gruber, Lalitha Venkataramanan, Denise E. Freed, Tarek M. Habashy, Schlumberger-Doll Research Center, United States
ITT-P1.9: OVERLAPPED-SPEECH DETECTION WITH APPLICATIONS TO DRIVER ASSESSMENT FOR IN-VEHICLE ACTIVE SAFETY SYSTEMS
Navid Shokouhi, Amardeep Sathyanarayana, Seyed Omid Sadjadi, John H.L. Hansen, The University of Texas at Dallas, United States
ITT-P1.10: TRANSIENT DISTURBANCE DETECTION FOR POWER SYSTEMS WITH A GENERAL LIKELIHOOD RATIO TEST
Xiufeng Song, University of Connecticut, United States; Zafer Sahinoglu, Jianlin Guo, Mitsubishi Electric Research Laboratories (MERL), United States
ITT-P1.11: SPARSE SIGNAL MODEL FOR ULTRASONIC NONDESTRUCTIVE EVALUATION OF CFRP COMPOSITE PLATES
Nicolas Bochud, Angel M. Gomez, Guillermo Rus, Antonio M. Peinado, University of Granada, Spain
ITT-P1.12: ADAPTIVE FREQUENCY ESTIMATION OF THREE-PHASE POWER SYSTEMS WITH NOISY MEASUREMENTS
Reza Arablouei, University of South Australia, Australia; Stefan Werner, Aalto University, Finland; Kutluyil Dogançay, University of South Australia, Australia
IFS-L1.1: SEMI-BLIND AUTOMATIC TEMPORAL REGISTRATION FOR VIDEO WATERMARKING SYSTEMS
Bertrand Chupeau, Séverine Baudry, Gwenaël Doërr, Technicolor R&D France, France
IFS-L1.2: STEGANALYSIS IN RESIZED IMAGES
Jan Kodovsky, Jessica Fridrich, Binghamton University, United States
IFS-L1.3: GEO-LOCATION ESTIMATION FROM ELECTRICAL NETWORK FREQUENCY SIGNALS
Ravi Garg, Adi Hajj-Ahmad, Min Wu, University of Maryland, United States
IFS-L1.4: ON SECURE DISTRIBUTED STORAGE UNDER DATA THEFT
Phillip Regalia, National Science Foundation, United States; Chin-Yu Lin, Catholic University of America, United States
IFS-L1.5: ON THE DESIGN OF AN EFFICIENT ENCRYPTION-THEN-COMPRESSION SYSTEM
Jiantao Zhou, University of Macau, Macao SAR of China; Xianming Liu, HIT, China; Oscar C. Au, Hong Kong University of Science and Technology, Hong Kong SAR of China
IFS-L1.6: KERNEL COLLABORATIVE REPRESENTATION-BASED CLASSIFIER FOR FACE RECOGNITION
Biao Wang, Weifeng Li, Tsinghua University, China; Norman Poh, University of Surrey, United Kingdom; Qingmin Liao, Tsinghua University, China
IFS-P1.1: INFORMATION ALIGNMENT FOR MITIGATING JAMMING IN WIRELESS RELAY NETWORKS
Sang Wu Kim, Iowa State University, United States
IFS-P1.2: PHASE WARPING AND DIFFERENTIAL SCRAMBLING ATTACKS AGAINST OFDM FREQUENCY SYNCHRONIZATION
Matthew J. La Pan, T. Charles Clancy, Robert W. McGwier, Virginia Polytechnic and State University, United States
IFS-P1.3: OPTIMAL TRANSCEIVER DESIGN FOR WIRETAP CHANNELS WITH SIDE INFORMATION
Holger Boche, Rafael F. Schaefer, Technische Universität München, Germany
IFS-P1.4: SECRECY SUM-RATES WITH REGULARIZED CHANNEL INVERSION PRECODING UNDER IMPERFECT CSI AT THE TRANSMITTER
Giovanni Geraci, University of New South Wales, Australia; Romain Couillet, Supélec, France; Jinhong Yuan, University of New South Wales, Australia; Mérouane Debbah, Supélec, France; Iain Collings, CSIRO ICT Centre, Australia
IFS-P1.5: MOBILE JAMMERS FOR SECRECY RATE MAXIMIZATION IN COOPERATIVE NETWORKS
Dionysios S. Kalogerias, Rutgers, The State University of New Jersey, United States; Nikolaos Chatzipanagiotis, Michael M. Zavlanos, Duke University, United States; Athina P. Petropulu, Rutgers, The State University of New Jersey, United States
IFS-P1.6: AN INFORMATION THEORETIC FRAMEWORK FOR ENERGY EFFICIENT SECRECY
Cristina Comaniciu, Stevens Institute of Technology, United States; H. Vincent Poor, Princeton University, United States; Ruolin Zhang, Stevens Institute of Technology, United States
IFS-P1.7: JOINT NULL-SPACE BEAMFORMING AND JAMMING TO SECURE AF RELAY SYSTEMS WITH INDIVIDUAL POWER CONSTRAINT
Hui-Ming Wang, Qinye Yin, Wenjie Wang, Xi'an Jiaotong University, China; Xiang-Gen Xia, University of Delaware, United States
IFS-P1.8: RATING SYSTEMS FOR ENHANCED CYBER-SECURITY INVESTMENTS
Jie Xu, Yu Zhang, Mihaela van der Schaar, University of California, Los Angeles, United States
IFS-P1.9: ROBUST SCAREWARE IMAGE DETECTION
Christian Seifert, Jack W. Stokes, Christina Colcernian, John C. Platt, Microsoft Corporation, United States; Long Lu, Georgia Institute of Technology, United States
IFS-P1.10: OPTIMAL DISTRIBUTED DETECTION IN THE PRESENCE OF BYZANTINES
Bhavya Kailkhura, Swastik Brahma, Yunghsiang Han, Pramod K. Varshney, Syracuse University, United States
IFS-P1.11: FINDING AN INFECTION SOURCE UNDER THE SIS MODEL
Wuqiong Luo, Wee Peng Tay, Nanyang Technological University, Singapore
IFS-P1.12: A PHYSICAL LAYER AUTHENTICATION SCHEME FOR COUNTERING PRIMARY USER EMULATION ATTACK
Kapil M. Borle, Biao Chen, Wenliang Du, Syracuse University, United States
IFS-P1.13: PROBABILISTIC THREAT PROPAGATION FOR MALICIOUS ACTIVITY DETECTION
Kevin Carter, Nwokedi Idika, William Streilein, Massachusetts Institute of Technology, Lincoln Laboratory, United States
IFS-P2.1: A NOVEL QUANTIZATION-BASED WATERMARKING APPROACH INVARIANT TO GAIN ATTACK
Mohsen Zareian, Amirkabir University of Technology, Iran; Hamid Reza Tohidypour, Z. Jane Wang, University of British Columbia, Canada
IFS-P2.2: MULTIVARIATE GAUSSIAN MODEL FOR DESIGNING ADDITIVE DISTORTION FOR STEGANOGRAPHY
Jessica Fridrich, Jan Kodovsky, Binghamton University, United States
IFS-P2.3: PERMUTATION CODES AND STEGANOGRAPHY
Félix Balado, David Haughton, University College Dublin, Ireland
IFS-P2.4: MAXIMIZING PRIVACY IN VARIABLE BIT RATE CODING
Jiyun Yao, Parv Venkitasubramaniam, Lehigh University, United States
IFS-P2.5: PRIVACY REGION PROTECTION FOR H.264/AVC BY ENCRYPTING THE INTRA PREDICTION MODES WITHOUT DRIFT ERROR IN I FRAMES
Yongsheng Wang, Maire O'Neill, Fatih Kurugollu, Queen's University Belfast, United Kingdom
IFS-P2.6: ON OPTIMAL DECISIONS IN AN INTRODUCTION-BASED REPUTATION PROTOCOL
Richard Al-Bayaty, O. Patrick Kreidl, University of North Florida, United States
IFS-P2.7: NOWHERE TO HIDE: EXPLORING USER-VERIFICATION ACROSS FLICKR ACCOUNTS
Howard Lei, Jaeyoung Choi, Gerald Friedland, International Computer Science Institute, United States
IFS-P3.1: ROBUST FACE RECOGNITION USING TRIMMED LINEAR REGRESSION
Jian Lai, Xudong Jiang, Nanyang Technological University, Singapore
IFS-P3.2: AUTOMATED IDENTIFICATION OF RELATIVELY PERMANENT PIGMENTED OR VASCULAR SKIN MARKS (RPPVSM)
Arfika Nurhudatiana, Adams Wai-Kin Kong, Nanyang Technological University, Singapore; Lisa Altieri, Noah Craft, Los Angeles Biomedical Research Institute, United States
IFS-P3.3: GAIT RECOGNITION USING SPARSE GRASSMANNIAN LOCALITY PRESERVING DISCRIMINANT ANALYSIS
Tee Connie, Michael Kah Ong Goh, Multimedia University, Malaysia; Andrew Beng Jin Teoh, Yonsei University, Republic of Korea
IFS-P3.4: A KEYPOINT DESCRIPTOR FOR ALIGNMENT-FREE FINGERPRINT MATCHING
Ravi Garg, University of Maryland, United States; Shantanu Rane, Mitsubishi Electric Research Laboratories (MERL), United States
IFS-P3.5: OPEN-SET SEMI-SUPERVISED AUDIO-VISUAL SPEAKER RECOGNITION USING CO-TRAINING LDA AND SPARSE REPRESENTATION CLASSIFIERS
Xuran Zhao, Nicholas Evans, Jean-Luc Dugelay, EURECOM, France
IFS-P3.6: SYNTHETIC SPEECH DETECTION BASED ON SELECTED WORD DISCRIMINATORS
Phillip L. De Leon, Bryan Stewart, New Mexico State University, United States
IFS-P3.7: DESIGN OF A HAMMING-DISTANCE CLASSIFIER FOR ECG BIOMETRICS
Siddarth Hari, Foteini Agrafioti, Dimitrios Hatzinakos, University of Toronto, Canada
IFS-P3.8: BLIND DETECTION OF ELECTRONIC DISGUISED VOICE
Haojun Wu, Yong Wang, Jiwu Huang, Sun Yat-Sen University, China
IFS-P4.1: ENF ANALYSIS ON RECAPTURED AUDIO RECORDINGS
Hui Su, Ravi Garg, Adi Hajj-Ahmad, Min Wu, University of Maryland, College Park, United States
IFS-P4.2: FORENSIC SENSOR PATTERN NOISE EXTRACTION FROM LARGE IMAGE DATA SET
Zhenhua Qu, Xiangui Kang, Jiwu Huang, Yinxiang Li, Sun Yat-Sen University, China
IFS-P4.3: BLOCK CONVERGENCE IN REPEATED TRANSFORM CODING: JPEG-100 FORENSICS, CARBON DATING, AND TAMPER DETECTION
Shiyue Lai, Rainer Böhme, University of Muenster, Germany
IFS-P4.4: DETECTION OF TEMPORAL INTERPOLATION IN VIDEO SEQUENCES
Paolo Bestagini, Simone Battaglia, Simone Milani, Marco Tagliasacchi, Stefano Tubaro, Politecnico di Milano, Italy
IFS-P4.5: PIXEL ESTIMATION BASED VIDEO FORGERY DETECTION
Subramanyam Venkata, Indraprastha Institute of Information Technology, India; Sabu Emmanuel, Nanyang Technological University, Singapore
IFS-P4.6: ANTI-FORENSICS OF MEDIAN FILTERING
Zhung-Han Wu, Matthew C. Stamm, K. J. Ray Liu, University of Maryland, College Park, United States
IFS-P4.7: OPTIMAL COUNTERFORENSICS FOR HISTOGRAM-BASED FORENSICS
Pedro Comesaña-Alfaro, Fernando Pérez-González, University of Vigo, Spain
IFS-P4.8: ANTIFORENSICS ATTACKS TO BENFORD'S LAW FOR THE DETECTION OF DOUBLE COMPRESSED IMAGES
Simone Milani, Marco Tagliasacchi, Stefano Tubaro, Politecnico di Milano, Italy
IFS-P4.9: A VARIATIONAL APPROACH TO JPEG ANTI-FORENSICS
Wei Fan, Kai Wang, François Cayre, Grenoble Images Parole Signal Automatique (GIPSA-lab), France; Zhang Xiong, Beihang University, China
IFS-P4.10: CONCEALABILITY-RATE-DISTORTION TRADEOFF IN IMAGE COMPRESSION ANTI-FORENSICS
Xiaoyu Chu, Matthew C. Stamm, Yan Chen, K. J. Ray Liu, University of Maryland, College Park, United States
IFS-P4.11: SPOOFING COUNTERMEASURES TO PROTECT AUTOMATIC SPEAKER VERIFICATION FROM VOICE CONVERSION
Federico Alegre, Asmaa Amehraye, Nicholas Evans, EURECOM, France
IFS-P4.12: ACTIVE CONTENT FINGERPRINTING: SHRINKAGE AND LATTICE BASED MODULATIONS
Farzad Farhadzadeh, Sviatoslav Voloshynovskiy, Taras Holotyak, Fokko Beekhof, University of Geneva, Switzerland
IFS-P4.13: REGULARIZED ADABOOST FOR CONTENT IDENTIFICATION
Honghai Yu, Pierre Moulin, University of Illinois at Urbana-Champaign, United States
MLSP-L1.1: ADAPTIVE SENSING WITH STRUCTURED SPARSITY
Nikhil Rao, Gongguo Tang, Robert Nowak, University of Wisconsin, United States
MLSP-L1.2: LEARNING OVERCOMPLETE SPARSIFYING TRANSFORMS FOR SIGNAL PROCESSING
Saiprasad Ravishankar, Yoram Bresler, University of Illinois, United States
MLSP-L1.3: FITTING SPARSE GAUSSIAN FUNCTION MIXTURES ON POWER SPECTRA
Luis Weruaga, Khalifa University, United Arab Emirates; Javier Vía, Universidad de Cantabria, Spain
MLSP-L1.4: SPARSE HIDDEN MARKOV MODELS FOR PURER CLUSTERS
Sujeeth Bharadwaj, Mark Hasegawa-Johnson, University of Illinois at Urbana-Champaign, United States; Jitendra Ajmera, Om Deshmukh, Ashish Verma, IBM Research - India, India
MLSP-L1.5: HIERARCHICAL SPARSE MODELING USING SPIKE AND SLAB PRIORS
Yuanming Suo, Minh Dao, Trac Tran, Johns Hopkins University, United States; Umamahesh Srinivas, Vishal Monga, Pennsylvania State University, United States
MLSP-L1.6: SIMULTANEOUS TRACKING AND SPARSE CALIBRATION IN GROUND SENSOR NETWORKS USING EVIDENCE APPROXIMATION
Marek Syldatk, Fredrik Gustafsson, Linköping University, Sweden
MLSP-L2.1: CENTRALITY-CONSTRAINED GRAPH EMBEDDING
Brian Baingana, Georgios B. Giannakis, University of Minnesota, United States
MLSP-L2.2: INFERENCE OF MOBILITY PATTERNS VIA SPECTRAL GRAPH WAVELETS
Xiaowen Dong, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland; Antonio Ortega, University of Southern California, United States; Pascal Frossard, Pierre Vandergheynst, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
MLSP-L2.3: MULTI-VIEW ANCHOR GRAPH HASHING
Saehoon Kim, Seungjin Choi, POSTECH, Republic of Korea
MLSP-L2.4: CAPTURING GROUP VARIABILITY USING IVA: A SIMULATION STUDY AND GRAPH-THEORETICAL ANALYSIS
Sai Ma, Ronald Phlypo, University of Maryland, Baltimore County, United States; Vince Calhoun, The Mind Research Network and University of New Mexico, United States; Tulay Adali, University of Maryland, Baltimore County, United States
MLSP-L2.5: EFFICIENT ALGORITHM FOR RATIONAL KERNEL EVALUATION IN LARGE LATTICE SETS
Jan Švec, Pavel Ircing, University of West Bohemia, Czech Republic
MLSP-L2.6: DISTRIBUTED ONLINE LEARNING OF THE SHORTEST PATH UNDER UNKNOWN RANDOM EDGE WEIGHTS
Pouya Tehrani, Qing Zhao, University of California, Davis, United States
MLSP-L3.1: RANDOM FEATURES FOR KERNEL DEEP CONVEX NETWORK
Po-Sen Huang, University of Illinois at Urbana-Champaign, United States; Li Deng, Microsoft Research, United States; Mark Hasegawa-Johnson, University of Illinois at Urbana-Champaign, United States; Xiaodong He, Microsoft Corporation, United States
MLSP-L3.2: DIRECT PRODUCT BASED DEEP BELIEF NETWORKS FOR AUTOMATIC SPEECH RECOGNITION
Petr Fousek, Steven Rennie, Pierre Dognin, Vaibhava Goel, IBM Research, United States
MLSP-L3.3: DEEP STACKING NETWORKS FOR INFORMATION RETRIEVAL
Li Deng, Xiaodong He, Jianfeng Gao, Microsoft Research, United States
MLSP-L3.4: NON-NEGATIVE DYNAMICAL SYSTEM WITH APPLICATION TO SPEECH AND AUDIO
Cédric Févotte, Centre National de la Recherche Scientifique (CNRS), France; Jonathan Le Roux, John R. Hershey, Mitsubishi Electric Research Laboratories (MERL), United States
MLSP-L3.5: BAYESIAN SEMI-SUPERVISED AUDIO EVENT TRANSCRIPTION BASED ON MARKOV INDIAN BUFFET PROCESS
Yasunori Ohishi, NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan; Daichi Mochihashi, Tomoko Matsui, The Institute of Statistical Mathematics, Japan; Masahiro Nakano, Hirokazu Kameoka, Tomonori Izumitani, Kunio Kashino, NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan
MLSP-L3.6: TOWARDS A UNIVERSAL REPRESENTATION FOR AUDIO INFORMATION RETRIEVAL AND ANALYSIS
Bjørn Sand Jensen, Rasmus Troelsgaard, Jan Larsen, Lars Kai Hansen, Technical University of Denmark, Denmark
MLSP-P1.1: MULTI-TARGET TRACKING APPLIED TO EVOLUTIONARY CLUSTERING
Maria Rosario Mestre, William J. Fitzgerald, University of Cambridge, United Kingdom
MLSP-P1.2: HIGH-DIMENSIONAL SEQUENCE TRANSDUCTION
Nicolas Boulanger-Lewandowski, Yoshua Bengio, Pascal Vincent, Université de Montréal, Canada
MLSP-P1.3: FILTER BANK KERNEL LEARNING FOR NONSTATIONARY SIGNAL CLASSIFICATION
Maxime Sangnier, Jérôme Gauthier, CEA, France; Alain Rakotomamonjy, Université de Rouen, France
MLSP-P1.4: ATTENTION BASED TEMPORAL FILTERING OF SENSORY SIGNALS FOR DATA REDUNDANCY REDUCTION
Sofoklis Kakouros, Okko Räsänen, Unto Laine, Aalto University, Finland
MLSP-P1.5: DYNAMIC BAYESIAN ACTIVITY MODELING IN VIDEO VIA MULTI-FEATURE INTEGRATION
T. Scott Brandes, Signal Innovations Group, Inc., United States; Eric Wang, United States Naval Academy, United States
MLSP-P1.6: SPARSE AUTOREGRESSIVE MODEL ESTIMATION FOR LEARNING GRANGER CAUSALITY IN TIME SERIES
Jitkomut Songsiri, Chulalongkorn University, Thailand
MLSP-P1.7: SEPARABLE LATTICE 2-D HMMS INTRODUCING STATE DURATION CONTROL FOR RECOGNITION OF IMAGES WITH VARIOUS VARIATIONS
Takaya Makino, Shinji Takaki, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda, Nagoya Institute of Technology, Japan
MLSP-P1.8: MAP-ASSISTED KALMAN FILTERING
Mohamed Mansour, Deric Waters, Texas Instruments Inc., United States
MLSP-P1.9: JACHMM: A JAVA-BASED CONDITIONED HIDDEN MARKOV MODEL LIBRARY
Stefan Ultes, Robert ElChabb, Alexander Schmitt, Wolfgang Minker, Ulm University, Germany
MLSP-P2.1: A RANDOMLY PERTURBED INFOMAX ALGORITHM FOR BLIND SOURCE SEPARATION
Qi He, Jack Xin, University of California, Irvine, United States
MLSP-P2.2: A BOUNDED COMPONENT ANALYSIS APPROACH FOR THE SEPARATION OF CONVOLUTIVE MIXTURES OF DEPENDENT AND INDEPENDENT SOURCES
Huseyin Inan, Alper Erdogan, Koc University, Turkey
MLSP-P2.3: FROM BASIS COMPONENTS TO COMPLEX STRUCTURAL PATTERNS
Anh-Huy Phan, Andrzej Cichocki, Brain Science Institute, RIKEN, Japan; Petr Tichavsky, Institute of Information Theory and Automation, Czech Republic; Rafal Zdunek, Wroclaw University of Technology, Poland; Sidney Lehky, The Salk Institute, United States
MLSP-P2.4: TENSOR COMPLETION THROUGH MULTIPLE KRONECKER PRODUCT DECOMPOSITION
Anh-Huy Phan, Andrzej Cichocki, Brain Science Institute, RIKEN, Japan; Petr Tichavsky, Institute of Information Theory and Automation, Czech Republic; Gheorghe Luta, Georgetown University, United States; Austin J. Brockmeier, University of Florida, United States
MLSP-P2.5: PERMUTATION-FREE CONVOLUTIVE BLIND SOURCE SEPARATION VIA FULL-BAND CLUSTERING BASED ON FREQUENCY-INDEPENDENT SOURCE PRESENCE PRIORS
Nobutaka Ito, Shoko Araki, Tomohiro Nakatani, Nippon Telegraph and Telephone Corporation, Japan
MLSP-P2.6: INDEPENDENT VECTOR ANALYSIS, THE KOTZ DISTRIBUTION, AND PERFORMANCE BOUNDS
Matthew Anderson, Geng-Shen Fu, Ronald Phlypo, Tulay Adali, University of Maryland, Baltimore County, United States
MLSP-P2.7: ALGORITHMS FOR MARKOVIAN SOURCE SEPARATION BY ENTROPY RATE MINIMIZATION
Geng-Shen Fu, Ronald Phlypo, Matthew Anderson, University of Maryland, Baltimore County, United States; Xi-Lin Li, Fortemedia, United States; Tulay Adali, University of Maryland, Baltimore County, United States
MLSP-P2.8: RANDOM PROJECTIONS: A REMEDY FOR OVERFITTING ISSUES IN TIME SERIES PREDICTION WITH ECHO STATE NETWORKS
Lucie Daubigney, Matthieu Geist, Supélec, France; Olivier Pietquin, Supélec-UMI 2958 (GT-CNRS), France
MLSP-P2.9: SUBSPACE CLUSTERING WITH DENSE REPRESENTATIONS
Eva Dyer, Christoph Studer, Richard G. Baraniuk, Rice University, United States
MLSP-P2.10: SUBSPACE CLUSTERING VIA THRESHOLDING AND SPECTRAL CLUSTERING
Reinhard Heckel, Helmut Bolcskei, ETH Zurich, Switzerland
MLSP-P2.11: THE GENERALIZED LASSO IS REDUCIBLE TO A SUBSPACE CONSTRAINED LASSO
Hao Xu, David J. Eis, Peter J. Ramadge, Princeton University, United States
MLSP-P3.1: CONVEX APPROXIMATION OF THE NP-HARD SEARCH PROBLEM IN FEATURE SUBSET SELECTION
Tofigh Naghibi, Sarah Hoffmann, Beat Pfister, ETH Zurich, Switzerland
MLSP-P3.2: NEAREST-NEIGHBOR DISTRIBUTED LEARNING UNDER COMMUNICATION CONSTRAINTS
Stefano Marano, Vincenzo Matta, University of Salerno, Italy; Peter Willett, University of Connecticut, United States
MLSP-P3.3: DISCRIMINATIVE DICTIONARY LEARNING VIA MUTUAL EXCLUSION
Raghu Raj, U.S. Naval Research Laboratory, United States
MLSP-P3.5: DISTRIBUTED OPTIMIZATION VIA ADAPTIVE REGULARIZATION FOR LARGE PROBLEMS WITH SEPARABLE CONSTRAINTS
Elad Gilboa, Phani Chavali, Peng Yang, Arye Nehorai, Washington University in St. Louis, United States
MLSP-P3.6: SMOOTHED SIMCO FOR DICTIONARY LEARNING: HANDLING THE SINGULARITY ISSUE
Xiaochen Zhao, Guangyu Zhou, Wei Dai, Imperial College London, United Kingdom
MLSP-P3.7: TRADEOFFS IN IMPROVED SCREENING OF LASSO PROBLEMS
Yun Wang, Zhen James Xiang, Peter J. Ramadge, Princeton University, United States
MLSP-P3.8: A GENERATIVE SEMI-SUPERVISED MODEL FOR MULTI-VIEW LEARNING WHEN SOME VIEWS ARE LABEL-FREE
Gaole Jin, Raviv Raich, Oregon State University, United States; David Miller, The Pennsylvania State University, United States
MLSP-P3.9: THE 2-CODEWORD SCREENING TEST FOR LASSO PROBLEMS
Hao Wu, Hong Kong University of Science and Technology, Hong Kong SAR of China; Peter J. Ramadge, Princeton University, United States
MLSP-P3.10: END-TO-END LEARNING OF PARSING MODELS FOR INFORMATION RETRIEVAL
Jennifer Gillenwater, University of Pennsylvania, United States; Xiaodong He, Jianfeng Gao, Li Deng, Microsoft Research, United States
MLSP-P3.11: BI-ALTERNATING DIRECTION METHOD OF MULTIPLIERS
Guoqiang Zhang, Richard Heusdens, Delft University of Technology, Netherlands
MLSP-P3.12: ONLINE MULTI-LABEL LEARNING WITH ACCELERATED NONSMOOTH STOCHASTIC GRADIENT DESCENT
Sunho Park, Seungjin Choi, Pohang University of Science and Technology (POSTECH), Republic of Korea
MLSP-P3.13: LP-REGULARIZED OPTIMIZATION BY USING ORTHANT-WISE APPROACH FOR INDUCING SPARSITY
Takumi Kobayashi, National Institute of Advanced Industrial Science and Technology, Japan
MLSP-P3.14: AN ENHANCED SPLITTING-WHILE-MERGING ALGORITHM WITH FINITE MIXTURE MODELS
Rui Fa, Asoke K. Nandi, Brunel University, United Kingdom
MLSP-P4.1: USING DEEP STACKING NETWORK TO IMPROVE STRUCTURED COMPRESSED SENSING WITH MULTIPLE MEASUREMENT VECTORS
Hamid Palangi, Rabab Ward, The University of British Columbia, Canada; Li Deng, Microsoft Research, United States
MLSP-P4.2: LASSO SCREENING WITH A SMALL REGULARIZATION PARAMETER
Yun Wang, Zhen James Xiang, Peter J. Ramadge, Princeton University, United States
MLSP-P4.3: BAYESIAN MULTI-SUBJECT COMMON SPATIAL PATTERNS WITH INDIAN BUFFET PROCESS PRIORS
Hyohyeong Kang, Seungjin Choi, POSTECH, Republic of Korea
MLSP-P4.4: MAP-BASED ESTIMATION OF THE PARAMETERS OF A GAUSSIAN MIXTURE MODEL IN THE PRESENCE OF NOISY OBSERVATIONS
Aleksej Chinaev, Reinhold Haeb-Umbach, University of Paderborn, Germany
MLSP-P4.5: BOUNDS FOR BAYESIAN NETWORK CLASSIFIERS WITH REDUCED PRECISION PARAMETERS
Sebastian Tschiatschek, Carlos Eduardo Cancino Chacón, Franz Pernkopf, Technische Universität Graz, Austria
MLSP-P4.6: RECURSIVE GAUSSIAN PROCESS REGRESSION
Marco Huber, AGT International, Germany
MLSP-P4.7: ONLINE LOGISTIC REGRESSION ON MANIFOLDS
Yao Xie, Rebecca Willett, Duke University, United States
MLSP-P4.8: LOCALITY PRESERVING KSVD FOR NONLINEAR MANIFOLD LEARNING
Yin Zhou, Jinglun Gao, Kenneth Barner, University of Delaware, United States
MLSP-P4.9: EXTRACTING DEEP BOTTLENECK FEATURES USING STACKED AUTO-ENCODERS
Jonas Gehring, Karlsruhe Institute of Technology (KIT), Germany; Yajie Miao, Florian Metze, Carnegie Mellon University, United States; Alex Waibel, Karlsruhe Institute of Technology (KIT), Germany
MLSP-P4.10: MODELS WITH PRODUCTS OF DIRICHLET PROCESSES
Petar Djuric, Stony Brook University, United States; André Ferrari, Université de Nice-Sophia Antipolis, France
MLSP-P4.11: ITERATIVE ORTHONORMALIZED PARTIAL LEAST SQUARES WITH SPARSITY CONSTRAINTS
Sergio Muñoz-Romero, Jerónimo Arenas-García, Vanessa Gómez-Verdejo, Universidad Carlos III de Madrid, Spain
MLSP-P4.12: THREE STRUCTURAL RESULTS ON THE LASSO PROBLEM
Pingmei Xu, Peter J. Ramadge, Princeton Unviersity, United States
MLSP-P4.13: SIMPLIFIED ALTERNATING-DIRECTION MESSAGE PASSING FOR DUAL MAP LP-RELAXATION
Guoqiang Zhang, Richard Heusdens, Delft University of Technology, Netherlands
MLSP-P4.14: PROXIMAL ALTERNATING-DIRECTION MESSAGE-PASSING FOR MAP LP RELAXATION
Guoqiang Zhang, Richard Heusdens, Delft University of Technology, Netherlands
MLSP-P5.1: RECOGNIZING HUMAN ACTIONS BY BP-ADABOOST ALGORITHM UNDER A HIERARCHICAL RECOGNITION FRAMEWORK
Nijun Li, Xu Cheng, Suofei Zhang, Zhenyang Wu, Southeast University, China
MLSP-P5.2: MULTIRESOLUTION CLASSIFICATION WITH SEMI-SUPERVISED LEARNING FOR INDIRECT BRIDGE STRUCTURAL HEALTH MONITORING
Siheng Chen, Carnegie Mellon University, United States; Fernando Cerda, Universidad de Concepción, Chile; Jia Guo, Joel B. Harley, Qing Shi, Carnegie Mellon University, United States; Piervincenzo Rizzo, University of Pittsburgh, United States; Jacobo Bielak, James Garrett, Jelena Kovacevic, Carnegie Mellon University, United States
MLSP-P5.3: MAXIMUM DISCRIMINANT MARGIN TRANSFORM OF DISCRIMINANT FUNCTIONS
Fabian Schmieder, Bin Yang, University of Stuttgart, Germany
MLSP-P5.4: LARGE-SCALE MALWARE CLASSIFICATION USING RANDOM PROJECTIONS AND NEURAL NETWORKS
George Dahl, University of Toronto, Canada; Jack W. Stokes, Li Deng, Dong Yu, Microsoft Research, United States
MLSP-P5.5: DISCRIMINATIVE AND COMPACT DICTIONARY DESIGN FOR HYPERSPECTRAL IMAGE CLASSIFICATION USING LEARNING VQ FRAMEWORK
Zhaowen Wang, University of Illinois at Urbana-Champaign, United States; Nasser Nasrabadi, US Army Research Lab, United States; Thomas Huang, University of Illinois at Urbana-Champaign, United States
MLSP-P5.6: HIERARCHICAL CLASSIFICATION FUSION FRAMEWORK
Asmar Azar Khan, Costas Xydeas, Hassan Ahmed, Lancaster University, United Kingdom
MLSP-P5.7: PERFORMANCE OF LINEAR DISCRIMINANT ANALYSIS IN STOCHASTIC SETTINGS
Amin Zollanvari, Texas A&M University, United States; Jianping Hua, Translational Genomics Research Institute (TGEN), United States; Edward R. Dougherty, Texas A&M University, United States
MLSP-P5.8: HIERARCHICAL BAYESIAN LEARNING FOR ELECTRICAL TRANSIENT CLASSIFICATION
Matthieu Sanquer, Florent Chatelain, GIPSA-Lab, France; Mabrouka El-Guedri, EDF R&D, France; Nadine Martin, GIPSA-Lab, France
MLSP-P5.9: MULTIMODAL MUSIC EMOTION CLASSIFICATION USING ADABOOST WITH DECISION STUMPS
Dan Su, Pascale Fung, Nicolas Auguin, Hong Kong University of Science and Technology, Hong Kong SAR of China
MLSP-P5.10: COMPETITIVE AND ONLINE PIECEWISE LINEAR CLASSIFICATION
Huseyin Ozkan, Bilkent University, Turkey; Mehmet Donmez, Koc University, Turkey; Ozgun Pelvan, Arda Akman, Turk Telekom Group, Turkey; Suleyman Kozat, Bilkent University, Turkey
MLSP-P5.11: EFFICIENT MONTE CARLO OPTIMIZATION FOR MULTI-LABEL CLASSIFIER CHAINS
Jesse Read, Luca Martino, Universidad Carlos III de Madrid, Spain; David Luengo, Universidad Politécnica de Madrid, Spain
MLSP-P5.12: CLASSIFICATION WITH MINIMUM EXPECTED ERROR OVER AN UNCERTAINTY CLASS OF GAUSSIAN DISTRIBUTIONS
Lori Dalton, The Ohio State University, United States
MLSP-P5.13: IMAGE RECOGNITION BASED ON SEPARABLE LATTICE TRAJECTORY 2-D HMMS
Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda, Nagoya Institute of Technology, Japan
MLSP-P5.14: A HETEROGENEOUS DICTIONARY MODEL FOR REPRESENTATION AND RECOGNITION OF HUMAN ACTIONS
Rushil Anirudh, Karthikeyan Ramamurthy, Jayaraman J. Thiagarajan, Pavan Turaga, Andreas Spanias, Arizona State University, United States
MLSP-P6.1: WEIGHT OPTIMIZATION AND LAYERED CLUSTERING-BASED ECOC
Xiao-Lei Zhang, Ji Wu, Tsinghua University, China
MLSP-P6.2: FACIAL ACTION UNIT PREDICTION UNDER PARTIAL OCCLUSION BASED ON ERROR WEIGHTED CROSS-CORRELATION MODEL
Jen-Chun Lin, Chung-Hsien Wu, Wen-Li Wei, National Cheng Kung University, Taiwan
MLSP-P6.3: ACCELEROMETER-BASED ACTIVITY RECOGNITION ON A MOBILE PHONE USING CEPSTRAL FEATURES AND QUANTIZED GMMS
Jussi Leppänen, Antti Eronen, Nokia Research Center, Finland
MLSP-P6.4: DETECTION AND CLASSIFICATION OF EXPLOSIVE SUBSTANCES IN MULTI-SPECTRAL IMAGE SEQUENCES USING LINEAR SUBSPACE MATCHING
Maria Axelsson, Ola Friman, Ida Johansson, Markus Nordberg, Henric Östmark, Swedish Defence Research Agency, Sweden
MLSP-P6.5: ADAPTIVE FEATURE SPLIT SELECTION FOR CO-TRAINING: APPLICATION TO TIRE IRREGULAR WEAR CLASSIFICATION
Wei Du, Ronald Phlypo, Tulay Adali, University of Maryland, Baltimore County, United States
MLSP-P6.6: NON-RIGID 3D SHAPE RECOGNITION VIA DICTIONARY LEARNING
Yin Zhou, University of Delaware, United States; Kai Liu, Sichuan University, China; Kenneth Barner, University of Delaware, United States
MLSP-P6.7: DETECTING STIMULUS DRIVEN CHANGES IN FUNCTIONAL BRAIN CONNECTIVITY
Pingmei Xu, Hao Xu, Peter J. Ramadge, Princeton Unviersity, United States
MLSP-P6.8: VHR IMAGE CHANGE DETECTION BASED ON DISCRIMINATIVE DICTIONARY LEARNING
Kun Ding, Chunlei Huo, Yuan Xu, Chunhong Pan, CASIA, China
MLSP-P6.9: ON RECTIFIED LINEAR UNITS FOR SPEECH PROCESSING
Matthew Donald Zeiler, New York University, United States; Marc'Aurelio Ranzato, Rajat Monga, Mark Mao, Ke Yang, Quoc Viet Le, Patrick Nguyen, Andrew Senior, Vincent Vanhoucke, Jeff Dean, Google Inc., United States; Geoffrey E. Hinton, University of Toronto, Canada
MLSP-P6.10: MODELING MAGNETIC FIELDS USING GAUSSIAN PROCESSES
Niklas Wahlström, Manon Kok, Thomas B. Schön, Fredrik Gustafsson, Linköping University, Sweden
MLSP-P6.11: LOW-DIMENSIONAL MODELS FOR MISSING DATA IMPUTATION IN ROAD NETWORKS
Muhammad Tayyab Asif, Nikola Mitrovic, Lalit Garg, Justin Dauwels, Nanyang Technological University, Singapore; Patrick Jaillet, Massachusetts Institute of Technology, United States
MLSP-P6.12: SPEAKER CLUSTERING USING VECTOR REPRESENTATION WITH LONG-TERM FEATURE FOR LECTURE SPEECH RECOGNITION
Chien-Lin Huang, Chiori Hori, Hideki Kashioka, National Institute of Information and Communications Technology, Japan; Bin Ma, Institute for Infocomm Research, Singapore
MLSP-P6.13: SOFT NONNEGATIVE MATRIX CO-FACTORIZATION WITH APPLICATION TO MULTIMODAL SPEAKER DIARIZATION
Nicolas Seichepine, Slim Essid, Télécom ParisTech, France; Cédric Févotte, Olivier Cappé, Centre National de la Recherche Scientifique (CNRS), France
MLSP-P7.1: A CLASSIFICATION SCHEME FOR ’HIGH-DIMENSIONAL-SMALL-SAMPLE-SIZE’ DATA USING SODA AND RIDGE-SVM WITH MICROWAVE MEASUREMENT APPLICATIONS
Yinan Yu, Tomas McKelvey, Chalmers University of Technology, Sweden; Sun-Yuan Kung, Princeton University, United States
MLSP-P7.2: ADAPTIVE THRESHOLDING FOR MULTI-LABEL SVM CLASSIFICATION WITH APPLICATION TO PROTEIN SUBCELLULAR LOCALIZATION PREDICTION
Shibiao Wan, Man-Wai Mak, The Hong Kong Polytechnic University, Hong Kong SAR of China; Sun-Yuan Kung, Princeton University, United States
MLSP-P7.3: INCORPORATING COVARIANCE INFORMATION IN ONE CLASS SUPPORT VECTOR CLASSIFICATION
Naimul Mefraz Khan, Ryerson University, Canada; Riadh Ksantini, Imran Shafiq Ahmad, University of Windsor, Canada; Ling Guan, Ryerson University, Canada
MLSP-P7.4: AN EFFICIENT DATA-REUSING KERNEL ADAPTIVE FILTERING ALGORITHM BASED ON PARALLEL HYPERSLAB PROJECTION ALONG AFFINE SUBSPACES
Masa-aki Takizawa, Masahiro Yukawa, Niigata University, Japan
MLSP-P7.5: HMM BASED PYRAMID MATCH KERNEL FOR CLASSIFICATION OF SEQUENTIAL PATTERNS OF SPEECH USING SUPPORT VECTOR MACHINES
Dileep A. D., Chandra Sekhar C., Indian Institute of Technology Madras, India
MLSP-P7.6: A NEW ONE-CLASS SVM FOR ANOMALY DETECTION
Yuting Chen, Jing Qian, Venkatesh Saligrama, Boston University, United States
MLSP-P7.7: KERNEL RECURRENT SYSTEM TRAINED BY REAL-TIME RECURRENT LEARNING ALGORITHM
Pingping Zhu, Jose C. Principe, University of Florida, United States
MLSP-P7.8: KERNEL-BASED TENSOR PARTIAL LEAST SQUARES FOR RECONSTRUCTION OF LIMB MOVEMENTS
Qibin Zhao, Guoxu Zhou, RIKEN Brain Science Institute, Japan; Tulay Adali, University of Maryland, Baltimore County, United States; Liqing Zhang, Shanghai Jiao Tong University, China; Andrzej Cichocki, RIKEN Brain Science Institute, Japan
MLSP-P7.9: METRIC BASED GAUSSIAN KERNEL LEARNING FOR CLASSIFICATION
Zhenyu Guo, Z. Jane Wang, University of British Columbia, Canada
MLSP-P7.10: ADAPTIVE KERNEL CANONICAL CORRELATION ANALYSIS ALGORITHMS FOR MAXIMUM AND MINIMUM VARIANCE
Steven Van Vaerenbergh, Javier Vía, Julio César Manco-Vásquez, Ignacio Santamaría, University of Cantabria, Spain
MMSP-L1.1: ENERGY-EFFICIENT DESIGN OF REAL-TIME STREAM MINING SYSTEMS
Shaolei Ren, Florida International University, United States; Cuiling Lan, Xidian University, China; Mihaela van der Schaar, University of California, Los Angeles, United States
MMSP-L1.2: DISTRIBUTED MEDIA-AWARE SCHEDULING FOR P2P STREAMING WITH NETWORK CODING
Anooq Muzaffar Sheikh, Attilio Fiandrotti, Enrico Magli, Politecnico di Torino, Italy
MMSP-L1.3: A DYNAMIC SYSTEM MODEL OF TIME-VARYING SUBJECTIVE QUALITY OF VIDEO STREAMS OVER HTTP
Chao Chen, Lark Kwon Choi, Gustavo de Veciana, Constantine Caramanis, Robert W. Heath Jr., Alan Bovik, The University of Texas at Austin, United States
MMSP-L1.4: FEEDBACK-DRIVEN NETWORK CODING FOR COOPERATIVE VIDEO STREAMING
Attilio Fiandrotti, Valerio Bioglio, Enrico Magli, Politecnico di Torino, Italy
MMSP-L1.5: CONVERGENCE ANALYSIS OF CONSENSUS BELIEF FUNCTIONS WITHIN ASYNCHRONOUS AD-HOC FUSION NETWORKS
Thanuka Wickramarathne, University of Notre Dame, United States; Kamal Premaratne, Manohar Murthi, University of Miami, United States
MMSP-L1.6: EXPLORING AND VISUALIZING TAG RELATIONSHIPS IN PHOTO SHARING WEBSITES BASED ON DISTRIBUTIONAL REPRESENTATIONS
Marie Katsurai, Miki Haseyama, Hokkaido University, Japan
MMSP-P1.1: USING THE VOICE SPECTRUM FOR IMPROVED TRACKING OF PEOPLE IN A JOINT AUDIO-VIDEO SCHEME
Eleonora D'Arca, Neil Robertson, Heriot-Watt University, United Kingdom; James Hopgood, University of Edinburgh, United Kingdom
MMSP-P1.2: AUDIO CONSTRAINED PARTICLE FILTER BASED VISUAL TRACKING
Volkan Kilic, Mark Barnard, Wenwu Wang, Josef Kittler, University of Surrey, United Kingdom
MMSP-P1.3: MOVIE SYNCHRONIZATION BY AUDIO LANDMARK MATCHING
Ngoc Q. K. Duong, Franck Thudor, Technicolor, France
MMSP-P1.4: SPATIAL AND TEMPORAL ALIGNMENT OF MULTIMODAL HUMAN SPEECH PRODUCTION DATA: REAL TIME IMAGING, FLESH POINT TRACKING AND AUDIO
Jangwon Kim, Adam Lammert, University of Southern California, United States; Prasanta Ghosh, Indian Institute of Science, India; Shrikanth Narayanan, University of Southern California, United States
MMSP-P1.5: PROBABILISTIC DANCE PERFORMANCE ALIGNMENT BY FUSION OF MULTIMODAL FEATURES
Angélique Drémeau, Slim Essid, Institut Telecom, Telecom ParisTech, France
MMSP-P1.6: SPEAKER TRAIT CHARACTERIZATION IN WEB VIDEOS: UNITING SPEECH, LANGUAGE, AND FACIAL FEATURES
Felix Weninger, Technische Universität München, Germany; Claudia Wagner, Joanneum Research, Austria; Martin Wöllmer, BMW Group, Germany; Björn Schuller, Technische Universität München, Germany; Louis-Philippe Morency, University of Southern California, United States
MMSP-P1.7: MULTIMODAL ANALYSIS OF SPEECH PROSODY AND UPPER BODY GESTURES USING HIDDEN SEMI-MARKOV MODELS
Elif Bozkurt, Shahriar Asta, Serkan Ozkul, Yucel Yemez, Engin Erzin, Koc University, Turkey
MMSP-P1.8: EXTRACTING SPOKEN AND ACOUSTIC CONCEPTS FOR MULTIMEDIA EVENT DETECTION
Julien van Hout, SRI International, United States; Murat Akbacak, Microsoft Corporation, United States; Diego Castan, University of Zaragoza, Spain; Eric Yeh, Michelle Sanchez, SRI International, United States
MMSP-P1.9: BENCHMARKING METHODS FOR AUDIO-VISUAL RECOGNITION USING TINY TRAINING SETS
Xavier Alameda-Pineda, Jordi Sanchez-Riera, Radu Horaud, INRIA Grenoble Rhône-Alpes, France
MMSP-P1.10: GRAPH BASED MULTIMODAL WORD CLUSTERING FOR VIDEO EVENT DETECTION
Aravind Vembu, Pradeep Natarajan, Shuang Wu, Rohit Prasad, Prem Natarajan, Raytheon BBN Technologies, United States
MMSP-P2.1: COGNITIVE, AFFECTIVE, AND EXPERIENCE CORRELATES OF SPEECH QUALITY PERCEPTION IN COMPLEX LISTENING CONDITIONS
Jan-Niklas Antons, Technische Universität Berlin, Germany; Khalil ur Rehman Laghari, INRS-EMT, Canada; Sebastian Arndt, Robert Schleicher, Sebastian Möller, Technische Universität Berlin, Germany; Douglas O'Shaughnessy, Tiago H. Falk, INRS-EMT, Canada
MMSP-P2.2: EMOTION CLASSIFICATION VIA UTTERANCE-LEVEL DYNAMICS: A PATTERN-BASED APPROACH TO CHARACTERIZING AFFECTIVE EXPRESSIONS
Yelin Kim, Emily Mower Provost, University of Michigan, Ann Arbor, United States
MMSP-P2.3: IDENTIFYING SALIENT SUB-UTTERANCE EMOTION DYNAMICS USING FLEXIBLE UNITS AND ESTIMATES OF AFFECTIVE FLOW
Emily Mower Provost, University of Michigan, United States
MMSP-P2.4: DEEP LEARNING FOR ROBUST FEATURE GENERATION IN AUDIOVISUAL EMOTION RECOGNITION
Yelin Kim, Honglak Lee, Emily Mower Provost, University of Michigan, Ann Arbor, United States
MMSP-P2.5: AUDIO SIGNAL CLASSIFICATION IN REVERBERANT ENVIRONMENTS BASED ON FUZZY-CLUSTERED AD-HOC MICROPHONE ARRAYS
Sebastian Gergen, Anil Nagathil, Rainer Martin, Ruhr-Universität Bochum, Germany
MMSP-P2.6: ROBUSTNESS OF SPEECH QUALITY METRICS TO BACKGROUND NOISE AND NETWORK DEGRADATIONS: COMPARING VISQOL, PESQ AND POLQA
Andrew Hines, Trinity College Dublin, Ireland; Jan Skoglund, Anil Kokaram, Google Inc., United States; Naomi Harte, Trinity College Dublin, Ireland
MMSP-P2.7: USING PHYSIOLOGY AND LANGUAGE CUES FOR MODELING VERBAL RESPONSE LATENCIES OF CHILDREN WITH ASD
Theodora Chaspari, Daniel Bone, James Gibson, Chi-Chun Lee, Shrikanth Narayanan, University of Southern California, United States
MMSP-P2.8: HRTF PERSONALIZATION MODELING BASED ON RBF NEURAL NETWORK
Lin Li, Qinghua Huang, Shanghai University, China
MMSP-P2.9: LOCAL ALIGNMENT FOR QUERY BY HUMMING
Qiang Wang, Zhiyuan Guo, Gang Liu, Chunguang Li, Jun Guo, Beijing University of Posts and Telecommunications, China
MMSP-P2.10: INTRODUCING ARTICULATORY ANCHOR-POINT TO ANN TRAINING FOR CORRECTIVE LEARNING OF PRONUNCIATION
Yurie Iribe, Silasak Manosavanh, Kouichi Katsurada, Toyohashi University of Technology, Japan; Ryoko Hayashi, Chunyue Zhu, Kobe University, Japan; Tsuneo Nitta, Waseda University, Japan
MMSP-P2.11: PARAMETER ESTIMATION AND CLASSIFICATION OF CENSORED GAUSSIAN DATA WITH APPLICATION TO WIFI INDOOR POSITIONING
Manh Kha Hoang, Reinhold Haeb-Umbach, University of Paderborn, Germany
MMSP-P2.12: TWIN-HMM-BASED AUDIO-VISUAL SPEECH ENHANCEMENT
Ahmed Hussen Abdelaziz, Steffen Zeiler, Dorothea Kolossa, Ruhr-Universität Bochum, Germany
MMSP-P3.1: 3D VIDEO QUALITY METRIC FOR MOBILE APPLICATIONS
Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos, University of British Columbia, Canada
MMSP-P3.2: VIEW SELECTION POLICY FOR MULTI-VIEW VIDEO DELIVERY
Jacob Chakareski, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
MMSP-P3.3: MOCAP DATA CODING WITH UNRESTRICTED QUANTIZATION AND RATE CONTROL
Choong-Hoon Kwak, Ivan V. Bajic, Simon Fraser University, Canada
MMSP-P3.4: SPARSE REPRESENTATIONS FOR HAND GESTURE RECOGNITION
Stergios Poularakis, University of Thessaly, Greece; Grigorios Tsagkatakis, Panagiotis Tsakalides, Foundation for Research and Technology - Hellas, Greece; Ioannis Katsavounidis, University of Thessaly, Greece
MMSP-P3.5: THE GESTURER IS THE SPEAKER
Binyam Gebrekidan Gebre, Peter Wittenburg, Max Planck Institute for Psycholinguistics, Netherlands; Tom Heskes, Radboud University Nijmegen, Netherlands
MMSP-P3.6: SPEECH-DRIVEN EYEBROW MOTION SYNTHESIS WITH CONTEXTUAL MARKOVIAN MODELS
Yu Ding, Institut Mines-TELECOM TELECOM ParisTech, France; Mathieu Radenen, Thierry Artières, Université Pierre et Marie Curie, France; Catherine Pelachaud, Institut Mines-TELECOM TELECOM ParisTech, France
MMSP-P3.7: TOWARD BODY LANGUAGE GENERATION IN DYADIC INTERACTION SETTINGS FROM INTERLOCUTOR MULTIMODAL CUES
Zhaojun Yang, Angeliki Metallinou, Shrikanth Narayanan, University of Southern California, United States
MMSP-P3.8: DATA DRIVEN MODELING OF HEAD MOTION TOWARDS ANALYSIS OF BEHAVIORS IN COUPLE INTERACTIONS
Bo Xiao, Panayiotis Georgiou, University of Southern California, United States; Brian Baucom, University of Utah, United States; Shrikanth Narayanan, University of Southern California, United States
MMSP-P3.9: OPTIMAL TASK-LEVEL SCHEDULING FOR CLOUD BASED MULTIMEDIA APPLICATIONS
Xiaoming Nan, Yifeng He, Ling Guan, Ryerson University, Canada
MMSP-P3.10: RGB-D VIDEO CONTENT IDENTIFICATION
Honghai Yu, Pierre Moulin, University of Illinois at Urbana-Champaign, United States; Sujoy Roy, Institute for Infocomm Research, Singapore
SAM-L1.1: DESIGN AND ANALYSIS OF MULTI-COSET ARRAYS
James Krieger, Massachusetts Institute of Technology, United States; Yuval Kochman, Hebrew University of Jerusalem, Israel; Gregory Wornell, Massachusetts Institute of Technology, United States
SAM-L1.2: ROBUST ADAPTIVE BEAMFORMING WITH IMPRECISE STEERING VECTOR AND NOISE COVARIANCE MATRIX DUE TO FINITE SAMPLE SIZE
Mengyi Zhang, Hong Kong University of Science and Technology, Hong Kong SAR of China; Francisco Rubio, Genetic Finance, Hong Kong SAR of China; Daniel P. Palomar, Hong Kong University of Science and Technology, Hong Kong SAR of China; Xavier Mestre, Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain
SAM-L1.3: BAYESIAN ROBUST ADAPTIVE BEAMFORMING BASED ON RANDOM STEERING VECTOR WITH BINGHAM PRIOR DISTRIBUTION
Olivier Besson, Stéphanie Bidon, University of Toulouse-ISAE, France
SAM-L1.4: CONVERGENCE RATE OF THE DOMINANT MODE REJECTION BEAMFORMER FOR A SINGLE INTERFERER
Kathleen Wage, George Mason University, United States; John Buck, University of Massachusetts Dartmouth, United States
SAM-L1.5: WORST CASE ROBUST DOWNLINK BEAMFORMING ON THE RIEMANNIAN MANIFOLD
Dana Ciochina, Marius Pesavento, Technische Universität Darmstadt, Germany; Kon Max Wong, McMaster University, Canada
SAM-L1.6: AN L1-CONSTRAINED NORMALIZED LMS ALGORITHM AND ITS APPLICATION TO THINNED ADAPTIVE ANTENNA ARRAYS
José Francisco Andrade Jr., Marcello L. R. de Campos, Federal University of Rio de Janeiro, Brazil; José Antonio Apolinário Jr., Military Institute of Engineering, Brazil
SAM-L2.1: RANDOM STEERABLE ARRAYS FOR SYNTHETIC APERTURE IMAGING
Dehong Liu, Petros T. Boufounos, Mitsubishi Electric Research Laboratories (MERL), United States
SAM-L2.2: SIMULTANEOUS RECONSTRUCTION OF UNDERSAMPLED MULTICHANNEL SIGNALS WITH A DECAYED AND TIME-DELAYED COMMON COMPONENT
Yoshifumi Shiraki, Yutaka Kamamoto, Takehiro Moriya, Nippon Telegraph and Telephone Corporation, Japan
SAM-L2.3: ROBUST JOINT SPARSE RECOVERY ON DATA WITH OUTLIERS
Ozgur Balkan, Kenneth Kreutz-Delgado, Scott Makeig, University of California, San Diego, United States
SAM-L2.4: MULTI-DIMENSIONAL SPARSE STRUCTURED SIGNAL APPROXIMATION USING SPLIT BREGMAN ITERATIONS
Yoann Isaac, Quentin Barthélemy, Commissariat à l'énergie atomique et aux énergies alternatives (CEA), France; Jamal Atif, Université Paris-Sud (XI), France; Cédric Gouy-Pailler, Commissariat à l'énergie atomique et aux énergies alternatives (CEA), France; Michèle Sebag, Université Paris-Sud (XI), France
SAM-L2.5: JOINT LOW-RANK AND SPARSE LIGHT FIELD MODELLING FOR DENSE MULTIVIEW DATA COMPRESSION
Mahdad Hosseini Kamal, Pierre Vandergheynst, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
SAM-L2.6: SPARSE REGULARIZATION OF TENSOR DECOMPOSITIONS
Hyon-Jung Kim, Esa Ollila, Visa Koivunen, Aalto University, Finland
SAM-L3.1: ON THE MUTUAL INFORMATION OF TIME REVERSAL FOR NON-STATIONARY CHANNELS
Pawan Setlur, Natasha Devroye, University of Illinois at Chicago, United States
SAM-L3.2: ON THE EFFECTS OF CLOCK OFFSET IN OFDM–BASED PASSIVE BISTATIC RADAR
Stephen Searle, University of Melbourne, Australia; James Palmer, DSTO, Australia; Linda Davis, University of South Australia, Australia
SAM-L3.3: CONSTANT-ENVELOPE WAVEFORM DESIGN FOR OPTIMAL TARGET-DETECTION AND AUTOCORRELATION PERFORMANCES
Satyabrata Sen, Oak Ridge National Laboratory, United States
SAM-L3.5: ON THE STRUCTURE OF THE MULTI-MODE FILTERS FOR PASSIVE WAVEFRONT CURVATURE RANGING IN A DISTRIBUTED ARRAY SYSTEM
Hongya Ge, New Jersey Institute of Technology, United States; Ivars Kirsteins, Naval Undersea Warfare Center, United States
SAM-L3.6: ENHANCED MULTISTATIC ACTIVE SONAR SIGNAL PROCESSING
Kexin Zhao, Junli Liang, Johan Karlsson, Jian Li, University of Florida, United States
SAM-L4.1: RADIO INTERFEROMETRIC CALIBRATION USING A RIEMANNIAN MANIFOLD
Sarod Yatawatta, ASTRON, The Netherlands Institute for Radio Astronomy, Netherlands
SAM-L4.2: HMA-III: A SELF-CALIBRATING WIRELESS MICROPHONE ARRAY SYSTEM
Harvey Silverman, Rahul Shakya, Kenneth Silverman, Brown University, United States
SAM-L4.3: A COMPLETE CHARACTERIZATION AND SOLUTION TO THE MICROPHONE POSITION SELF-CALIBRATION PROBLEM
Yubin Kuang, Simon Burgess, Anna Torstensson, Kalle Åström, Lund University, Sweden
SAM-L4.4: BLIND CALIBRATION AND REMEDY FOR MIS-ORIENTED VELOCITY-SENSOR TRIADS
Yang Song, Hong Kong Polytechnic University, Hong Kong SAR of China
SAM-L4.5: TIME DELAY ESTIMATION FOR TDOA SELF-CALIBRATION USING TRUNCATED NUCLEAR NORM REGULARIZATION
Fangyuan Jiang, Yubin Kuang, Kalle Åström, Lund University, Sweden
SAM-L4.6: COORDINATED BLIND CALIBRATION FOR TIME INTERLEAVED ADCS
Chenchi Luo, Lingchen Zhu, James McClellan, Georgia Institute of Technology, United States
SAM-P1.1: TENSOR AMPLITUDE EXTRACTION IN SENSOR ARRAY PROCESSING
Kyle Krueger, James McClellan, Waymond Scott, Georgia Institute of Technology, United States
SAM-P1.2: STATISTICALLY EFFICIENT METHODS FOR PITCH AND DOA ESTIMATION
Jesper Rindom Jensen, Mads Græsbøll Christensen, Søren Holdt Jensen, Aalborg University, Denmark
SAM-P1.3: ANGULAR RESOLUTION LIMIT OF TWO CLOSELY-SPACED POINT SOURCES BASED ON HYPOTHESIS TESTING
Wei Zhu, Jun Tang, Shuang Wan, Tsinghua University, China
SAM-P1.4: MULTIPLE-CHANNEL DETECTION IN ACTIVE SENSING
Kaitlyn Beaudet, Douglas Cochran, Arizona State University, United States
SAM-P1.5: MULTI-FREQUENCY TUNING TECHNIQUE FOR DISTRIBUTED SENSOR LOCALIZATION
Bobin Yao, Wenjie Wang, Feilong Wu, Qinye Yin, Xi'an Jiaotong University, China
SAM-P1.6: SPACE-TIME COHERENCE AND ITS EXACT NULL DISTRIBUTION
Nick Klausner, Mahmood Azimi-Sadjadi, Louis Scharf, Colorado State University, United States; Douglas Cochran, Arizona State University, United States
SAM-P1.7: INDIVIDUAL AOA MEASUREMENT DETECTION ALGORITHM FOR TARGET TRACKING IN MIXED LOS/NLOS ENVIRONMENTS
Lili Yi, Nanyang Technological University, Singapore; Sirajudeen Gulam Razul, Temasek Laboratories @ NTU, Singapore; Zhiping Lin, Nanyang Technological University, Singapore; Chong-Meng See, Temasek Laboratories @ NTU/ DSO National Laboratories, Singapore
SAM-P1.8: DOA ESTIMATION OF COHERENT TARGETS IN MIMO RADAR
Wei Zhang, Wei Liu, University of Sheffield, United Kingdom; Ju Wang, Siliang Wu, Beijing Institute of Technology, China
SAM-P1.9: ON INTRAFERENCE AND ITS IMPLICATIONS IN COMPLEX-VALUED SIGNAL PROCESSING
Clive Cheong Took, University of Surrey, United Kingdom; Scott Douglas, Southern Methodist University, United States; Danilo P. Mandic, Imperial College London, United Kingdom
SAM-P1.10: APPROXIMATE RANK-DETECTING FACTORIZATION OF LOW-RANK TENSORS
Franz J. Király, Technische Universität Berlin, Germany; Andreas Ziehe, TU Berlin, Germany
SAM-P1.11: A NEW METHOD FOR SOURCE DETECTION, POWER ESTIMATION, AND LOCALIZATION IN LARGE SENSOR NETWORKS UNDER NOISE WITH UNKNOWN STATISTICS
Julia Vinogradova, Télécom ParisTech, France; Romain Couillet, Supélec, France; Walid Hachem, Télécom ParisTech, France
SAM-P1.12: CONSTRAINED LIKELIHOOD RATIOS FOR DETECTING SPARSE SIGNALS IN HIGHLY NOISY 3D DATA
Silvia Paris, Raja Fazliza Raja Suleiman, David Mary, André Ferrari, Laboratoire Lagrange, UMR 7293, Université de Nice Sophia-Antipolis, CNRS, Observatoire de la Côte d'Azur, France
SAM-P1.13: DATA-EFFICIENT QUICKEST CHANGE DETECTION IN DISTRIBUTED AND MULTI-CHANNEL SYSTEMS
Taposh Banerjee, Research Assistant, Coordinated Science Laboratory; Graduate Student, Department of Electrical and Computer Engineering, United States; Venugopal V. Veeravalli, University of Illinois at Urbana-Champaign, United States
SAM-P2.1: DATA-ADAPTIVE REGULARIZATION FOR DOA ESTIMATION USING SPARSE SPECTRUM FITTING
Jimeng Zheng, Mostafa Kaveh, University of Minnesota, Twin Cities, United States
SAM-P2.2: A PROBABILISTIC FRAMEWORK FOR MULTIPLE SPEAKER LOCALIZATION
Youssef Oualil, Saarland University, Germany; Mathew Magimai Doss, Idiap Research Institute, Switzerland; Friedrich Faubel, Dietrich Klakow, Saarland University, Germany
SAM-P2.3: SPARSITY-BASED DOA ESTIMATION USING CO-PRIME ARRAYS
Yimin D. Zhang, Moeness G. Amin, Villanova University, United States; Braham Himed, Air Force Research Laboratory, United States
SAM-P2.4: PRIOR-EXPLOITING DIRECTION-OF-ARRIVAL ALGORITHM FOR PARTIALLY UNCORRELATED SOURCE SIGNALS
Petter Wirfält, Magnus Jansson, KTH Royal Institute of Technology, Sweden; Guillaume Bouleux, University of Lyon and University of Saint Etienne, France
SAM-P2.5: A GENERALIZED ACQUISITION SCHEME FOR VECTOR CROSS-PRODUCT DIRECTION FINDING WITH SPATIALLY SPREAD VECTOR-SENSOR COMPONENTS
Yazid Merah, Sebastian Miron, David Brie, Université de Lorraine, France
SAM-P2.6: SPEAKER TRACKING WITH SPHERICAL MICROPHONE ARRAYS
John McDonough, Kenichi Kumatani, Carnegie Mellon University, United States; Takayuki Arakawa, NEC Corporation, Japan; Kazumasa Yamamoto, Toyohashi University of Technology, Japan; Bhiksha Raj, Carnegie Mellon University, United States
SAM-P2.7: PERFORMANCE ANALYSIS OF ESPRIT-TYPE ALGORITHMS FOR NON-CIRCULAR SOURCES
Jens Steinwandt, Florian Roemer, Martin Haardt, Ilmenau University of Technology, Germany
SAM-P2.8: HYPERPARAMETER-FREE DOA ESTIMATION UNDER POWER CONSTRAINTS
Chundi Zheng, Gang Li, Pan Li, Xiqin Wang, Tsinghua University, China
SAM-P2.9: CRB ANALYSIS OF NEAR-FIELD SOURCE LOCALIZATION USING UNIFORM CIRCULAR ARRAYS
Jean Pierre Delmas, Télécom SudParis, France; Houcem Gazzah, University of Sharjah, United Arab Emirates
SAM-P2.10: A MAXIMUM LIKELIHOOD APPROACH FOR UNDERDETERMINED TDOA ESTIMATION
Janghoon Cho, Chang D. Yoo, Korea Advanced Institute of Science and Technology, Republic of Korea
SAM-P2.11: COLOCATED MIMO RADAR: CRAMER-RAO BOUND AND OPTIMAL TIME DIVISION MULTIPLEXING FOR DOA ESTIMATION OF MOVING TARGETS
Kilian Rambach, Bin Yang, University of Stuttgart, Germany
SAM-P2.12: MULTISOURCE DOA ESTIMATION BASED ON TIME-FREQUENCY SPARSITY AND JOINT INTER-SENSOR DATA RATIO WITH SINGLE ACOUSTIC VECTOR SENSOR
Yue Xian Zou, Wei Shi, Bo Li, Peking University, China; Christian Ritz, Muawiyath Shujau, Jiangtao Xi, University of Wollongong, Australia
SAM-P2.13: A NEW SUBBAND INFORMATION FUSION METHOD FOR WIDEBAND DOA ESTIMATION USING SPARSE SIGNAL REPRESENTATION
Ji-An Luo, Zhejiang University, China; Xiao-Ping Zhang, Ryerson University, Canada; Zhi Wang, Zhejiang University, China
SAM-P3.1: SPARSITY-AWARE TDOA LOCALIZATION OF MULTIPLE SOURCES
Hadi Jamali-Rad, Geert Leus, Delft University of Technology, Netherlands
SAM-P3.2: JOINT SOURCE LOCALIZATION AND SENSOR POSITION REFINEMENT FOR SENSOR NETWORKS
Ming Sun, Zhenhua Ma, K.C. Ho, University of Missouri, United States
SAM-P3.3: A NEW PASSIVE SOURCE LOCALIZATION METHOD USING AOA-GROA-TDOA IN WIRELESS SENSOR ARRAY NETWORKS AND ITS CRAMÉR-RAO BOUND ANALYSIS
Ji-An Luo, Zhejiang University, China; Xiao-Ping Zhang, Ryerson University, Canada; Zhi Wang, Zhejiang University, China
SAM-P3.4: SOFT RESAMPLING FOR IMPROVED INFORMATION RETENTION IN PARTICLE FILTERING
Praveen Choppala, Paul Teal, Marcus Frean, Victoria University of Wellington, New Zealand
SAM-P3.5: SINGLE TARGET DETECTION AND TRACKING USING DIRECTION-OF-ARRIVAL SPECTRUM
Pei Hua Leong, Thushara Abhayapala, The Australian National University, Australia
SAM-P3.6: RANGE BASED SENSOR NODE LOCALIZATION IN THE PRESENCE OF UNKNOWN CLOCK SKEWS
Mohammad Reza Gholami, Chalmers University of Technology, Sweden; Sinan Gezici, Bilkent University, Turkey; Erik G. Ström, Chalmers University of Technology, Sweden
SAM-P3.7: TRACKING WITH RFID ASYNCHRONOUS MEASUREMENTS BY PARTICLE FILTERING
Li Geng, Mónica Bugallo, Petar Djuric, Stony Brook University, United States
SAM-P3.8: MANEUVERING TARGET ALTITUDE TRACKING IN OVER-THE-HORIZON RADARS EXPLOITING MULTIPATH DOPPLER SIGNATURES
Yimin D. Zhang, Villanova University, United States; Jun Jason Zhang, University of Denvor, United States; Moeness G. Amin, Villanova University, United States; Braham Himed, Air Force Research Laboratory, United States
SAM-P3.9: A LINEAR COMPLEXITY PARTICLE APPROACH TO THE EXACT MULTI-SENSOR PHD
Paolo Braca, NATO STO-CMRE, Italy; Stefano Marano, Vincenzo Matta, University of Salerno, Italy; Peter Willett, University of Connecticut, United States
SAM-P3.10: ON PASSIVE TDOA AND FDOA LOCALIZATION USING TWO SENSORS WITH NO TIME OR FREQUENCY SYNCHRONIZATION
Arie Yeredor, Tel Aviv University, Israel
SAM-P3.11: BROADBAND LOCALIZATION IN A DISPERSIVE MEDIUM THROUGH SPARSE WAVENUMBER ANALYSIS
Joel B. Harley, José M.F. Moura, Carnegie Mellon University, United States
SAM-P3.12: RECEIVED SIGNAL STRENGTH-BASED SENSOR LOCALIZATION IN SPATIALLY CORRELATED SHADOWING
Reza Monir Vaghefi, R. Michael Buehrer, Virginia Tech, United States
SAM-P3.13: LOCALIZATION OF MOBILE EQUIPMENT IN RADIO ENVIRONMENTS WITH NO LINE-OF-SIGHT PATH
Jie Chen, Feng Jiang, A. Lee Swindlehurst, University of California, Irvine, United States; Jose A. López-Salcedo, Universitat Autònoma de Barcelona, Spain
SAM-P3.14: ASYNCHRONOUS TIME-OF-ARRIVAL-BASED SOURCE LOCALIZATION
Reza Monir Vaghefi, R. Michael Buehrer, Virginia Tech, United States
SAM-P4.1: ON THE TRANSMIT BEAMPATTERN DESIGN USING MIMO AND PHASED-ARRAY RADAR
Guang Hua, Saman S. Abeysekera, Nanyang Technological University, Singapore
SAM-P4.2: A WAVEFORM COVARIANCE MATRIX FOR HIGH SINR AND LOW SIDE-LOBE LEVELS
Sajid Ahmed, Mohamed-Slim Alouini, King Abdullah University of Science and Technology, Saudi Arabia
SAM-P4.3: SPARSE MIMO RADAR WITH PHASE MISMATCH
Zhao Tan, Peng Yang, Arye Nehorai, Washington University, United States
SAM-P4.4: EM-BASED SPARSE IMAGING FOR COLOCATED MIMO RADAR UNDER PHASE SYNCHRONIZATION MISMATCH
Li Ding, Weidong Chen, Wenyi Zhang, University of Science and Technology of China, China
SAM-P4.5: HIGH RESOLUTION MIMO RADAR WITH UNITARY WAVEFORM MATRIX SCHEDULING
Tariq Qureshi, Michael Zoltowski, Purdue University, United States
SAM-P4.6: CONDITIONS FOR TARGET RECOVERY IN SPATIAL COMPRESSIVE SENSING FOR MIMO RADAR
Marco Rossi, Alexander M. Haimovich, New Jersey Institute of Technology, United States; Yonina C. Eldar, Technion - Israel Institute of Technology, Israel
SAM-P4.7: IMPROVED MIMO RADAR CHANNEL ESTIMATION USING SPATIAL CODING
Tuomas Aittomäki, Visa Koivunen, Aalto University, Finland
SAM-P4.8: TIME REVERSAL MIMO RADAR: IMPROVED CRB AND ANGULAR RESOLUTION LIMIT
Foroohar Foroozan, Amir Asif, York University, Canada; Rémy Boyer, Université Paris-Sud (XI), France
SAM-P4.9: THE SEPARATING FUNCTION ESTIMATION TEST AND THE UMPI TEST FOR TARGET DETECTION PROBLEM USING OPTIMAL SIGNAL DESIGN IN MIMO RADAR
Ali Ghobadzadeh, Queen's University, Canada; Mohammad Reza Taban, Ali Akbar Tadaion, Yazd University, Iran; Saeed Gazor, Queen's University, Canada
SAM-P4.10: MIMO OVER-THE-HORIZON RADAR WAVEFORM DESIGN FOR TARGET DETECTION
Shuangling Wang, Qian He, Zishu He, University of Electronic Science and Technology of China, China; Rick Blum, Lehigh University, China
SAM-P4.11: JOINT TRANSMIT ARRAY INTERPOLATION AND TRANSMIT BEAMFORMING FOR SOURCE LOCALIZATION IN MIMO RADAR WITH ARBITRARY ARRAYS
Aboulnasr Hassanien, Sergiy Vorobyov, University of Alberta, Canada; Joon-Young Park, Samsung Thales Co., Ltd., Democratic People's Republic of Korea
SAM-P4.12: TARGET ESTIMATION IN COLOCATED MIMO RADAR VIA MATRIX COMPLETION
Shunqiao Sun, Athina P. Petropulu, Waheed Bajwa, Rutgers University, United States
SAM-P5.1: QUATERNION-BASED WORST CASE CONSTRAINED BEAMFORMER BASED ON ELECTROMAGNETIC VECTOR-SENSOR ARRAYS
Xirui Zhang, Beijing Institute of Technology, China; Wei Liu, University of Sheffield, United Kingdom; Yougen Xu, Zhiwen Liu, Beijing Institute of Technology, China
SAM-P5.2: RECONFIGURABLE ADAPTIVE LINEAR ARRAY SIGNAL PROCESSING IN GNSS APPLICATIONS
Xiangrong Wang, Elias Aboutanios, University of New South Wales, Australia
SAM-P5.3: DATA-ADAPTIVE REDUCED-DIMENSION ROBUST CAPON BEAMFORMING
Samuel Dilshan Somasundaram, Nigel Parsons, Thales Underwater Systems, United Kingdom; Peng Li, Rodrigo de Lamare, The University of York, United Kingdom
SAM-P5.4: ANALYSIS OF NEAR FIELD BROADBAND PIC ANTENNA ARRAY PROCESSOR WITH ORTHOGONAL INTERFERENCE BEAM
Md Rakibul Islam, Mark C Reed, The University of New South Wales, Australia
SAM-P5.5: A FAST WIDELY-LINEAR QR-DECOMPOSITION LEAST-SQUARES (FWL-QRD-RLS) ALGORITHM
Mobien Shoaib, PSATRI, Saudi Arabia; Saleh Alshebeili, PSATRI / RFTRONICS, Saudi Arabia
SAM-P5.6: ROBUST BEAMFORMING VIA FIR FILTERING FOR GNSS MULTIPATH MITIGATION
Martí Mañosas-Caballú, Gonzalo Seco-Granados, Universitat Autònoma de Barcelona, Spain; A. Lee Swindlehurst, University of California, Irvine, United States
SAM-P5.7: CANONICAL POLYADIC DECOMPOSITION OF COMPLEX-VALUED MULTI-WAY ARRAYS BASED ON SIMULTANEOUS SCHUR DECOMPOSITION
Sepideh Hajipour Sardouie, Inserm UMR 1099 / LTSI University of Rennes 1 / BiSIPL Sharif University of Technology, Iran; Laurent Albera, Inserm UMR 1099 / LTSI University of Rennes 1, France; Mohammad Bagher Shamsollahi, BiSIPL Sharif University of Technology, Iran; Isabelle Merlet, Inserm UMR 642 / LTSI University of Rennes 1, France
SAM-P5.8: BEAMFORMING WITH EXTENDED CO-PRIME SENSOR ARRAYS
Kaushallya Adhikari, John Buck, University of Massachusetts Dartmouth, United States; Kathleen Wage, George Mason University, United States
SAM-P5.9: ROBUST CODEBOOK-BASED DOWNLINK BEAMFORMING USING MIXED INTEGER CONIC PROGRAMMING
Yong Cheng, Marius Pesavento, Technische Universität Darmstadt, Germany
SAM-P5.10: ROBUST DESIGN OF BLOCK DIAGONALIZATION USING PERTURBATION ANALYSIS
Jianshu Zhang, Martin Haardt, Florian Roemer, Ilmenau University of Technology, Germany
SAM-P5.11: INTERFERENCE ALIGNMENT WITH DOUBLY LAYERED SIGNALING FOR CONSTANT SISO INTERFERENCE CHANNELS
Haichuan Zhou, -, United Kingdom; Seyed Morteza Razavi, Tharmalingam Ratnarajah, The University of Edinburgh, United Kingdom; Mathini Sellathurai, Heriot-Watt University, United Kingdom
SAM-P5.12: DECENTRALIZED BEAMFORMING FOR MULTI-CARRIER ASYNCHRONOUS BI-DIRECTIONAL RELAYING NETWORKS
Reza Vahidnia, Shahram ShahbazPanahi, University of Ontario Institute of Technology, Canada
SAM-P6.1: A MARKET BASED DYNAMIC BIT ALLOCATION SCHEME FOR TARGET TRACKING IN WIRELESS SENSOR NETWORKS
Engin Masazade, Yeditepe University, Turkey; Pramod K. Varshney, Syracuse University, United States
SAM-P6.2: A DIRECT ALGORITHM FOR JOINT OPTIMAL SENSOR SCHEDULING AND MAP STATE ESTIMATION FOR HIDDEN MARKOV MODELS
David Jun, David Cohen, Douglas Jones, University of Illinois, United States
SAM-P6.3: NESTED BOUNDS FOR THE CONSTRAINED SENSOR PLACEMENT PROBLEM
Muhammad Uddin, Anthony Kuh, Aleksandar Kavcic, University of Hawaii, United States
SAM-P6.4: MATRIX DESIGN FOR OPTIMAL SENSING
Hema Kumari Achanta, Weiyu Xu, Soura Dasgupta, University of Iowa, United States
SAM-P6.5: LOCALIZATION WITH DOPPLER BIASED TOAS: AN ILL-CONDITIONED PROBLEM
Xiufeng Song, University of Connecticut, United States; Gang Wang, Ningbo University, China; Peter Willett, Shengli Zhou, University of Connecticut, United States
SAM-P6.6: KEEP BALLOTS SECRET: ON THE FUTILITY OF SOCIAL LEARNING IN DECISION MAKING BY VOTING
Joong Bum Rhim, Vivek Goyal, Massachusetts Institute of Technology, United States
SAM-P6.7: DISTRIBUTED ADAPTIVE EIGENVECTOR ESTIMATION OF THE SENSOR SIGNAL COVARIANCE MATRIX IN A FULLY CONNECTED SENSOR NETWORK
Alexander Bertrand, Marc Moonen, Katholieke Universiteit Leuven, Belgium
SAM-P6.8: OPTIMAL WIDELY-LINEAR DISTRIBUTED BEAMFORMING FOR RELAY NETWORKS
Jens Steinwandt, Martin Haardt, Ilmenau University of Technology, Germany
SAM-P6.9: DISTRIBUTED STATE ESTIMATION IN MULTI-AGENT NETWORKS
Subhro Das, José M.F. Moura, Carnegie Mellon University, United States
SAM-P6.10: ONE-BIT QUANTIZATION FOR MULTI-SENSOR GLRT DETECTION OF UNKNOWN DETERMINISTIC SIGNALS
Xiaoying Li, Jun Fang, Yumeng Liu, University of Electronic Science and Technology of China, China; Hongbin Li, Stevens Institute of Technology, United States
SAM-P6.11: DISTRIBUTED DETECTION AND UNIFORMLY MOST POWERFUL TESTS
Uri Rogers, Hao Chen, Boise State University, United States
SAM-P6.12: INTERACTIVE FUSION IN DISTRIBUTED DETECTION: ARCHITECTURE AND PERFORMANCE ANALYSIS
Earnest Akofor, Biao Chen, Syracuse University, United States
SAM-P6.14: ENERGY EFFICIENT SOURCE LOCALIZATION ON A MANHATTAN GRID WIRELESS SENSOR NETWORK
Matthew Prelee, David Neuhoff, University of Michigan, United States
SAM-P7.1: COMPRESSED SENSING OF DIFFUSION FIELDS UNDER HEAT EQUATION CONSTRAINT
Mohammad Rostami, Ngai-Man Cheung, Tony Q. S. Quek, Singapore Unviersity of Technology and Design, Singapore
SAM-P7.2: NUCLEAR NORM MINIMIZATION AND TENSOR COMPLETION IN EXPLORATION SEISMOLOGY
Nadia Kreimer, Mauricio D. Sacchi, University of Alberta, Canada
SAM-P7.3: AMBIGUITY FUNCTION AND DETECTION PROBABILITY CONSIDERATIONS FOR MATCHED WAVEFORM DESIGN
Jo-Yen Nieh, Ric A. Romero, Naval Postgraduate School, United States
SAM-P7.4: TIME DELAY ESTIMATION VIA MINIMUM-PHASE AND ALL-PASS COMPONENT PROCESSING
Saeed Mosayyebpour, Hannan Lohrasbipeydeh, Morteza Esmaeili, T. Aaron Gulliver, University of Victoria, Canada
SAM-P7.5: THEORETICAL FRAMEWORK FOR THE DESIGN OF MICROPHONE ARRAYS FOR ROBOT AUDITION
Vladimir Tourbabin, Boaz Rafaely, Ben-Gurion University of the Negev, Israel
SAM-P7.6: PREDICTION OF UNLEARNED POSITION BASED ON LOCAL REGRESSION FOR SINGLE-CHANNEL TALKER LOCALIZATION USING ACOUSTIC TRANSFER FUNCTION
Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki, Kobe University, Japan
SAM-P7.7: AN INFORMATION THEORETIC APPROACH FOR SPEECH SOURCE ENUMERATION
David Ayllón, Roberto Gil-Pita, Manuel Rosa-Zurera, University of Alcala, Spain; Hamid Krim, North Carolina State University, United States
SAM-P7.8: COMPRESSIVE MULTICHANNEL CORTICAL SIGNAL RECORDING
Mahdad Hosseini Kamal, Mahsa Shoaran, Yusuf Leblebici, Alexandre Schmid, Pierre Vandergheynst, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
SAM-P7.9: SOURCE LOCALIZATION IN REVERBERANT ENVIRONMENTS USING SPARSE OPTIMIZATION
Jonathan Le Roux, Petros T. Boufounos, Kang Kang, John R. Hershey, Mitsubishi Electric Research Laboratories (MERL), United States
SAM-P7.10: BLIND SEPARATION OF CONVOLUTIVE MIXTURES OF SPEECH SOURCES: EXPLOITING LOCAL SPARSITY
Xiao Fu, Wing-Kin Ma, The Chinese University of Hong Kong, Hong Kong SAR of China
SAM-P7.11: BLIND MULTI-CHANNEL SOURCE SEPARATION BY CIRCULAR-LINEAR STATISTICAL MODELING OF PHASE DIFFERENCES
Johannes Traa, Paris Smaragdis, University of Illinois at Urbana-Champaign, United States
SAM-P7.12: ON IDENTIFIABILITY IN BILINEAR INVERSE PROBLEMS
Sunav Choudhary, Urbashi Mitra, University of Southern California, United States
SAM-P7.13: THE FUKUSHIMA INVERSE PROBLEM
Marta Martinez-Camara, Ivan Dokmanic, Juri Ranieri, Robin Scheibler, Martin Vetterli, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland; Andreas Stohl, Norwegian Institute for Air Research, Switzerland
SPED-L1.1: REAL-TIME DSP FOR ADAPTIVE FILTERS: A TEACHING OPPORTUNITY
Michael Morrow, University of Wisconsin-Madison, United States; Cameron Wright, University of Wyoming, United States; Thad Welch, Boise State University, United States
SPED-L1.2: STUDENTS’ UNDERSTANDING OF CONVOLUTION
Jill Nelson, Margret Hjalmarson, George Mason University, United States
SPED-L1.3: AUGMENTATION OF LEARNING IN INTRODUCTION TO COMPUTER SCIENCE
Po-Chun Hsu, Chih-Yuan Lee, Hou-Jun Wang, Hsien-Tsai Wu, National Dong Hwa University, Taiwan
SPED-L1.4: OCURE: OPEN SOURCE ECG SIMULATOR FOR ACADEMIC APPLICATIONS IN BIOMEDICAL SIGNAL PROCESSING AND PUBLIC HEALTH PROGRAMS
Danus Lakshmi Mariappan, Ben-Gurion University of the Negev, United States; Manikandan Sankaranarayanan, TechPassion Technologies Pvt. Limited, India; A. Mary Priyasha Corera, Indian Institute of Technology Kharagpur, India; Sethuraman Malaichamy, Dhanushkodi Mariappan, TechPassion Technologies Pvt. Limited, India
SPED-L1.5: INTERACTIVE TEACHING AND ASSESSMENT USING RECYCLED SP CONCEPTS
Roxana Saint-Nom, Buenos Aires Institute of Technology, Argentina
SPCOM-L1.1: AN ALTERNATING OPTIMIZATION ALGORITHM FOR THE MIMO SECRECY CAPACITY PROBLEM UNDER SUM POWER AND PER-ANTENNA POWER CONSTRAINTS
Qiang Li, The Chinese University of Hong Kong, Hong Kong SAR of China; Mingyi Hong, University of Minnesota, United States; Hoi-To Wai, Wing-Kin Ma, The Chinese University of Hong Kong, Hong Kong SAR of China; Ya-Feng Liu, Chinese Academy of Sciences, China; Zhi-Quan Luo, University of Minnesota, United States
SPCOM-L1.2: DEGREES OF FREEDOM OF GENERAL SYMMETRIC MIMO INTERFERENCE BROADCAST CHANNELS
Tingting Liu, Chenyang Yang, Beihang University, China
SPCOM-L1.3: INTERFERENCE ALIGNMENT USING REWEIGHTED NUCLEAR NORM MINIMIZATION
Gokul Sridharan, Wei Yu, University of Toronto, Canada
SPCOM-L1.4: MISO INTERFERENCE CHANNEL WITH IMPROPER GAUSSIAN SIGNALING
Yong Zeng, Nanyang Technological University, Singapore; Rui Zhang, National University of Singapore, Singapore; Erry Gunawan, Yong Liang Guan, Nanyang Technological University, Singapore
SPCOM-L1.5: PERFORMANCE GAINS DUE TO IMPROPER SIGNALS IN MIMO BROADCAST CHANNELS WITH WIDELY LINEAR TRANSCEIVERS
Christoph Hellings, Wolfgang Utschick, Technische Universität München, Germany
SPCOM-L1.6: POWER ALLOCATION METHOD BASED ON THE CHANNEL STATISTICS FOR COMBINED POSITIONING AND COMMUNICATIONS OFDM SYSTEMS
Rafael Montalban, Jose A. López-Salcedo, Gonzalo Seco-Granados, Universitat Autònoma de Barcelona, Spain; A. Lee Swindlehurst, University of California, Irvine, United States
SPCOM-L2.1: AN EFFICIENT PARAMETERIZATION FOR PARETO-OPTIMAL BEAMFORMERS FOR K-USER MIMO INTERFERENCE CHANNELS
Juho Park, Youngchul Sung, Korea Advanced Institute of Science and Technology, Republic of Korea
SPCOM-L2.2: BEAMSPACE MIMO TRANSCEIVERS FOR LOW-COMPLEXITY AND NEAR-OPTIMAL COMMUNICATION AT MM-WAVE FREQUENCIES
Gi Hong Song, John Brady, Akbar Sayeed, University of Wisconsin-Madison, United States
SPCOM-L2.3: COMPUTING THE DEGREES OF FREEDOM FOR ARBITRARY MIMO INTERFERENCE CHANNELS
Oscar Gonzalez, Christian Lameiro, Javier Vía, Carlos Beltran, Ignacio Santamaría, University of Cantabria, Spain
SPCOM-L2.4: COVERAGE AND AREA SPECTRAL EFFICIENCY IN DOWNLINK RANDOM CELLULAR NETWORKS WITH CHANNEL ESTIMATION ERROR
Yueping Wu, Matthew McKay, Hong Kong University of Science and Technology, Hong Kong SAR of China; Robert W. Heath Jr., The University of Texas at Austin, United States
SPCOM-L2.5: MULTI-GROUP MULTICAST BEAMFORMING IN COGNITIVE RADIO NETWORKS VIA RANK-TWO TRANSMIT BEAMFORMED ALAMOUTI SPACE-TIME CODING
Senshan Ji, Sissi Xiaoxiao Wu, Anthony Man-Cho So, Wing-Kin Ma, The Chinese University of Hong Kong, Hong Kong SAR of China
SPCOM-L2.6: FEASIBILITY OF INTERFERENCE NEUTRALIZATION IN RELAY-AIDED MIMO INTERFERENCE BROADCAST CHANNEL WITH PARTIAL CONNECTIVITY
Dan Wu, Chenyang Yang, Beihang University, China; Zixiang Xiong, Texas A&M University, United States
SPCOM-L3.1: BASE STATION ACTIVATION AND LINEAR TRANSCEIVER DESIGN FOR UTILITY MAXIMIZATION IN HETEROGENEOUS NETWORKS
Wei-Cheng Liao, Mingyi Hong, Zhi-Quan Luo, University of Minnesota, United States
SPCOM-L3.2: DECOMPOSITION BY PARTIAL LINEARIZATION IN MULTIUSER SYSTEMS
Gesualdo Scutari, The State University of New York at Buffalo, United States; Francisco Facchinei, University of Rome, Italy; Peiran Song, The State University of New York at Buffalo, United States; Daniel P. Palomar, Hong Kong University of Science and Technology, Hong Kong SAR of China; Jong-Shi Pang, University of Illinois at Urbana-Champaign, United States
SPCOM-L3.3: JOINT RESOURCE ALLOCATION AND RECEIVER MAP ESTIMATION IN UNDERLAY COGNITIVE RADIOS
Antonio Garcia Marques, King Juan Carlos University, Spain; Emiliano Dall'Anese, Georgios B. Giannakis, University of Minnesota, United States
SPCOM-L3.4: MULTI-STREAM SUM RATE MAXIMIZATION FOR MIMO AF RELAY NETWORKS
Cong Sun, Chinese Academy of Sciences, China; Eduard A. Jorswieck, Technische Universität Dresden, Germany
SPCOM-L3.5: N-GRAM ANALYSIS FOR SLEEPING CELL DETECTION IN LTE NETWORKS
Fedor Chernogorov, Tapani Ristaniemi, Kimmo Brigatti, Sergey Chernov, University of Jyväskylä, Finland
SPCOM-L3.6: SIMULTANEOUS INFORMATION-AND-POWER TRANSFER FOR BROADBAND DOWNLINK SYSTEMS
Kaibin Huang, Hong Kong Polytechnic University, Hong Kong SAR of China; Erik Larsson, Linköping University, Sweden
SPCOM-L4.1: A DIFFUSION-BASED DISTRIBUTED EM ALGORITHM FOR DENSITY ESTIMATION IN WIRELESS SENSOR NETWORKS
Silvana Silva Pereira, Alba Pagès-Zamora, Universitat Politècnica de Catalunya - Barcelona Tech, Spain; Roberto López-Valcarce, Universidade de Vigo, Spain
SPCOM-L4.2: ADAPTIVE EIGENVALUE-BASED SPECTRUM SENSING FOR MULTI-ANTENNA COGNITIVE RADIO SYSTEMS
Christos G. Tsinos, Kostas Berberidis, University of Patras, Greece
SPCOM-L4.3: ADAPTIVE THRESHOLDING FOR DISTRIBUTED POWER SPECTRUM SENSING
Omar Mehanna, Nicholas D. Sidiropoulos, University of Minnesota, United States
SPCOM-L4.4: ASYMPTOTIC ANALYSIS OF EIGENVALUE-BASED BLIND SPECTRUM SENSING TECHNIQUES
Symeon Chatzinotas, Shree Krishna Sharma, Bj?rn Ottersten, University of Luxembourg, Luxembourg
SPCOM-L4.5: COMPRESSIVE WIDEBAND SPECTRUM SENSING WITH SPECTRAL PRIOR INFORMATION
Daniel Romero, Roberto López-Valcarce, University of Vigo, Spain; Geert Leus, Delft University of Technology, Netherlands
SPCOM-L4.6: DECENTRALIZED ESTIMATION AND CONTROL OF ALGEBRAIC CONNECTIVITY OF RANDOM AD-HOC NETWORKS
Paolo Di Lorenzo, Sergio Barbarossa, Sapienza University of Rome, Italy
SPCOM-L5.1: COMPUTER VISION AIDED OFDM-BASED STANDARDS DETECTION AND CLASSIFICATION TECHNIQUE FOR COGNITIVE RADIO SYSTEMS
Wael Guibene, EURECOM, France; Chadi Khirallah, University of Edinburgh, United Kingdom; Dirk Slock, EURECOM, ; John Thompson, University of Edinburgh,
SPCOM-L5.2: COOPERATIVE SIMULTANEOUS LOCALIZATION AND TRACKING (COSLAT) WITH REDUCED COMPLEXITY AND COMMUNICATION
Florian Meyer, Franz Hlawatsch, Vienna University of Technology, Austria; Henk Wymeersch, Chalmers University of Technology, Sweden
SPCOM-L5.3: DISTRIBUTED COOPERATIVE SPECTRUM SENSING WITH DOUBLE-TOPOLOGY
Francisco C. Ribeiro Jr., Marcello L. R. de Campos, Federal University of Rio de Janeiro, Brazil; Stefan Werner, Aalto University, Finland
SPCOM-L5.4: DISTRIBUTED SPARSE SIGNAL RECOVERY FOR SENSOR NETWORKS
Stacy Patterson, Yonina C. Eldar, Idit Keidar, Technion - Israel Institute of Technology, Israel
SPCOM-L5.5: FULLY DISTRIBUTED CLOCK SKEW AND OFFSET ESTIMATION IN WIRELESS SENSOR NETWORKS
Jian Du, Yik-Chung Wu, The University of Hong Kong, Hong Kong SAR of China
SPCOM-L5.6: ROBUST MIMO COGNITIVE RADIO SYSTEMS UNDER TEMPERATURE INTERFERENCE CONSTRAINTS
Yang Yang, Hong Kong University of Science and Technology, Hong Kong SAR of China; Peiran Song, Gesualdo Scutari, The State University of New York at Buffalo, United States; Daniel P. Palomar, Hong Kong University of Science and Technology, Hong Kong SAR of China
SPCOM-L6.1: ADAPTIVE DISTRIBUTED SPARSITY-AWARE MATRIX DECOMPOSITION
Ioannis Schizas, The University of Texas at Arlington, United States
SPCOM-L6.2: ADMOT: COMPRESSIVE SENSING TECHNIQUES FOR CHANNEL MONITORING IN MULTIPLE ACCESS NETWORKS
Xiaohang Li, Purdue University, United States; Hongyi Yao, California Institute of Technology, United States; Meng Wang, Rensselaer Polytechnic Institute, United States; Soung Chang Liew, Chinese University of Hong Kong, Hong Kong SAR of China
SPCOM-L6.3: INCORPORATING BETWEENNESS CENTRALITY IN COMPRESSIVE SENSING FOR CONGESTION DETECTION
Hoda S. Ayatollahi Tabatabaii, Hamid R. Rabiee, Sharif University of Technology, Iran; Mohammad Hossein Rohban, Boston University, United States; Mostafa Salehi, Sharif University of Technology, Iran
SPCOM-L6.4: NMF REVISITED: NEW UNIQUENESS RESULTS AND ALGORITHMS
Kejun Huang, Nicholas D. Sidiropoulos, University of Minnesota, United States; Ananthram Swami, Army Research Laboratory, United States
SPCOM-L6.5: ROBUST NETWORK TRAFFIC ESTIMATION VIA SPARSITY AND LOW RANK
Morteza Mardani, Georgios B. Giannakis, University of Minnesota, United States
SPCOM-L6.6: UCS-NT: AN UNBIASED COMPRESSIVE SENSING FRAMEWORK FOR NETWORK TOMOGRAPHY
Hamidreza Mahyar, Hamid R. Rabiee, Zakieh S. Hashemifar, Sharif University of Technology, Iran
SPCOM-L7.1: COOPERATIVE OFF-POLICY PREDICTION OF MARKOV DECISION PROCESSES IN ADAPTIVE NETWORKS
Sergio Valcarcel Macua, Universidad Politécnica de Madrid, Spain; Jianshu Chen, University of California, United States; Santiago Zazo, Universidad Politécnica de Madrid, Spain; Ali H. Sayed, University of California, United States
SPCOM-L7.2: HYBRID VARIATIONAL BAYESIAN CHANNEL ESTIMATION, DEMODULATION AND DECODING FOR OFDM UNDER SPARSE MULTIPATH CHANNELS
Chulong Chen, Michael Zoltowski, Purdue University, United States
SPCOM-L7.3: OPTIMAL POWER ALLOCATION FOR AN ENERGY HARVESTING ESTIMATION SYSTEM
Yu Zhao, Biao Chen, Syracuse University, United States; Rui Zhang, National University of Singapore, Singapore
SPCOM-L7.4: PARAMETER ESTIMATION OF 2D POLYNOMIAL PHASE SIGNALS: AN APPLICATION TO MOVING TARGET IMAGING WITH SAR
Sergio Barbarossa, Paolo Di Lorenzo, Pasquale Vecchiarelli, Alessandro Silvi, Alessandro Bruner, Sapienza University of Rome, Italy
SPCOM-L7.5: SHORT-DATA-RECORD FILTERING OF PN-MASKED DATA
Panos Markopoulos, Sandipan Kundu, Dimitris Pados, The State University of New York at Buffalo, United States
SPCOM-L7.6: A ROBUST MISO TRAINING SEQUENCE DESIGN
Nafiseh Shariati, KTH Royal Institute of Technology, Sweden; Jiaheng Wang, Southeast University, China; Mats Bengtsson, KTH Royal Institute of Technology, Sweden
SPCOM-P1.2: ON JOINT SOURCE-CHANNEL DECODING AND INTERFERENCE CANCELLATION IN CDMA-BASED LARGE-SCALE WIRELESS SENSOR NETWORKS
Chathura Illangakoon, Pradeepa Yahampath, University of Manitoba, Canada
SPCOM-P1.3: A COALITIONAL GAME FOR DISTRIBUTED ESTIMATION IN WIRELESS SENSOR NETWORKS
Hao He, Arun Subramanian, Syracuse University, United States; Xiaojing Shen, Sichuan University, China; Pramod K. Varshney, Syracuse University, United States
SPCOM-P1.4: A STRATEGY FOR ADJUSTING COMBINATION WEIGHTS OVER ADAPTIVE NETWORKS
Chung-Kai Yu, Ali H. Sayed, University of California, Los Angeles, United States
SPCOM-P1.5: AVERAGE CONSENSUS IN WIRELESS SENSOR NETWORKS: WILL IT BLEND?
Valentin Schwarz, Gerald Matz, Vienna University of Technology, Austria
SPCOM-P1.6: BAYESIAN QUADRATIC NETWORK GAME FILTERS
Ceyhun Eksin, Pooya Molavi, Alejandro Ribeiro, Ali Jadbabaie, University of Pennsylvania, United States
SPCOM-P1.7: DATA CENTRIC MULTI-SHIFT SENSOR SCHEDULING FOR WIRELESS SENSOR NETWORKS
Jialin Zhang, Yu Hen Hu, University of Wisconsin-Madison, United States
SPCOM-P1.8: DIFFUSION LMS LOCALIZATION AND TRACKING ALGORITHM FOR WIRELESS CELLULAR NETWORKS
Reza Abdolee, McGill University, Canada; Stephan Saur, Alcatel-Lucent, Germany; Benoit Champagne, McGill University, Canada; Ali H. Sayed, University of California, Los Angeles, United States
SPCOM-P1.9: DISTRIBUTED DETECTION WITH COLLISIONS IN A RANDOM, SINGLE-HOP WIRELESS SENSOR NETWORK
Gene Whipps, Emre Ertin, Randolph Moses, The Ohio State University, United States
SPCOM-P1.10: IMPLEMENTING ENERGY-EFFICIENT TRACKING IN A SENSOR NETWORK
Kyle Harris, Venugopal V. Veeravalli, University of Illinois at Urbana-Champaign, United States
SPCOM-P1.11: LINEARLY CONVERGENT DECENTRALIZED CONSENSUS OPTIMIZATION WITH THE ALTERNATING DIRECTION METHOD OF MULTIPLIERS
Wei Shi, Qing Ling, Kun Yuan, Gang Wu, University of Science and Technology of China, China; Wotao Yin, Rice University, United States
SPCOM-P1.12: ON THE DISTRIBUTED ESTIMATION OF RANK-DEFICIENT DYNAMICAL SYSTEMS: A GENERIC APPROACH
Mohammadreza Doostmohammadian, Usman Khan, Tufts University, United States
SPCOM-P1.13: TOPOLOGY OPTIMIZATION FOR A TRADE OFF BETWEEN ENERGY COST AND NETWORK LIFETIME IN AVERAGE CONSENSUS
César Asensio-Marco, Daniel Alonso-Román, Fernando Camaró-Nogués, Baltasar Beferull-Lozano, Universidad de Valencia, Spain
SPCOM-P2.1: A NOVEL SUB-NYQUIST SAMPLING OF SPARSE WIDEBAND SIGNALS
Chia-Hua Lin, Shang-Ho Tsai, National Chiao Tung University, Taiwan; Gene C.H. Chuang, Industrial Technology Research Institute, Taiwan
SPCOM-P2.2: DISTRIBUTED PREDICTIVE SUBSPACE PURSUIT
Dennis Sundman, Dave Zachariah, Saikat Chatterjee, Mikael Skoglund, KTH Royal Institute of Technology, Sweden
SPCOM-P2.3: ON A REVERSE $\ELL_2$--INEQUALITY FOR SPARSE CIRCULAR CONVOLUTIONS
Philipp Walk, Technische Universität München, Germany; Peter Jung, Technische Universität Berlin, Germany
SPCOM-P2.4: SUPPORT AGNOSTIC BAYESIAN MATCHING PURSUIT FOR BLOCK SPARSE SIGNALS
Mudassir Masood, Tareq Y. Al-Naffouri, King Abdullah University of Science and Technology, Saudi Arabia
SPCOM-P2.5: CHANNEL-OPTIMIZED VECTOR QUANTIZER DESIGN FOR COMPRESSED SENSING MEASUREMENTS
Amirpasha Shirazinia, Saikat Chatterjee, Mikael Skoglund, KTH Royal Institute of Technology, Sweden
SPCOM-P2.6: COMPRESSED SENSING WITH CORRUPTED PARTICIPANTS
Meng Wang, Rensselaer Polytechnic Institute, United States; Weiyu Xu, University of Iowa, United States; Robert Calderbank, Duke University, United States
SPCOM-P2.7: HIGH-DIMENSIONAL SPARSE COVARIANCE ESTIMATION FOR RANDOM SIGNALS
Ahmed Nasif, Zhi Tian, Michigan Technological University, United States; Qing Ling, University of Science and Technology of China, China
SPCOM-P2.8: RECOVERY OF SPARSE SIGNALS FROM AMPLITUDE-LIMITED SAMPLE SETS
Adam Polak, Marco Duarte, Robert Jackson, Dennis Goeckel, University of Massachusetts Amherst, United States
SPCOM-P2.9: EXPECTED COMPLEXITY OF SPHERE DECODING FOR SPARSE INTEGER LEAST-SQUARE PROBLEMS
Somsubhra Barik, Haris Vikalo, The University of Texas at Austin, United States
SPCOM-P2.10: SEQUENTIAL DETECTION FOR SPARSE CHANNELS VIA A MULTIPLE TREE ALGORITHM
Weiwei Zhou, Jill Nelson, George Mason University, United States
SPCOM-P2.12: INTERCARRIER INTERFERENCE IN DSL NETWORKS DUE TO ASYNCHRONOUS DMT TRANSMISSION
Rodrigo B. Moraes, Paschalis Tsiaflakis, Marc Moonen, Katholieke Universiteit Leuven, Belgium
SPCOM-P2.13: OPTIMIZATION OF THE PER TONE NOISE PROTECTION IN XDSL SYSTEMS EMPLOYING VIRTUAL NOISE
Wagih Sarhan, Technische Universität Darmstadt, Germany; Martin Kuipers, ADTRAN GmbH, Germany; Anja Klein, Technische Universität Darmstadt, Germany
SPCOM-P2.14: JOINT POWER-LOADING AND CYCLIC PREFIX LENGTH OPTIMIZATION FOR OFDM-BASED POWER LINE COMMUNICATION
Martin Wolkerstorfer, FTW Telecommunications Research Center Vienna, Austria; Paschalis Tsiaflakis, Marc Moonen, Katholieke Universiteit Leuven, Belgium; Driton Statovci, FTW Telecommunications Research Center Vienna, Austria
SPCOM-P3.1: EVALUATING THE EFFECTS OF CO-CHANNEL INTERFERENCE IN WIRELESS NETWORKS
Mahdi Orooji, Erfan Soltanmohammadi, Mort Naraghi-Pour, Louisiana State University, United States
SPCOM-P3.2: ADAPTIVE REDUCED-RANK MBER LINEAR RECEIVE PROCESSING USING JOINT INTERPOLATION, SWITCHED DECIMATION AND FILTERING FOR LARGE MULTIUSER MIMO SYSTEMS
Yunlong Cai, Zhejiang University, China; Rodrigo de Lamare, The University of York, United Kingdom
SPCOM-P3.4: ON LINEAR MMSE BASED TURBO-EQUALIZATION OF NONLINEAR VOLTERRA CHANNELS
Bouchra Benammar, Nathalie Thomas, Charly Poulliat, Marie-Laure Boucheret, INPT-ENSEEIHT/IRIT, France; Mathieu Dervin, Thales Alenia Space, France
SPCOM-P3.5: QUADRATIC SPHERICITY TEST FOR BLIND DETECTION OVER TIME-VARYING FREQUENCY-SELECTIVE FADING CHANNELS
Josep Font-Segura, Jaume Riba, Javier Villares, Gregori Vazquez, Technical University of Catalonia (UPC), Spain
SPCOM-P3.6: SECURE WAVEFORMS FOR SISO CHANNELS
Ming Li, Sandipan Kundu, Dimitris Pados, Stella Batalama, The State University of New York at Buffalo, United States
SPCOM-P3.8: SURFACE NOISE CANCELLATION FOR ACOUSTIC DOWNHOLE COMMUNICATION SYSTEMS
Abdallah Farraj, Eman Hammad, Scott Miller, Texas A&M University, United States; Khalid Qaraqe, Texas A&M University at Qatar, Qatar
SPCOM-P3.9: FOURIER-HERMITE COMMUNICATIONS; WHERE FOURIER MEETS HERMITE
Cornelis Willem Korevaar, André B.J. Kokkeler, Pieter-Tjerk de Boer, Gerard J.M. Smit, University of Twente, Netherlands
SPCOM-P3.10: FPGA IMPLEMENTATION OF A SAME-FREQUENCY CELLULAR REPEATER USING ADAPTIVE FEEDBACK CANCELLATION
Dennis Morgan, Michael Zierdt, Bell Laboratories / Alcatel-Lucent, United States; Denis Gudovskiy, Huawei Technologies, Russian Federation; John Pastalan, Bell Laboratories / Alcatel-Lucent, United States; Zhengxiang Ma, Huawei Technologies, United States
SPCOM-P3.11: CANCELLING SELF-INTERFERENCE IN FULL-DUPLEX RELAYS WITHOUT ANGLE-OF-ARRIVAL INFORMATION
Emilio Antonio-Rodríguez, Galician R&D Center in Advanced Telecommunications, Spain; Roberto López-Valcarce, University of Vigo, Spain
SPCOM-P3.12: A RECURSIVE LEAST SQUARES ALGORITHM WITH REDUCED COMPLEXITY FOR DIGITAL PREDISTORTION LINEARIZATION
Saijie Yao, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China; Hua Qian, Kai Kang, Shanghai Research Center for Wireless Communications, China; Manyuan Shen, Shanghai Jiao Tong University, China
SPCOM-P3.13: ADAPTIVE TX SKIRT SUPPRESSION FOR MULTI-RADIO IN-DEVICE COEXISTENCE
Qiang Zhou, MediaTek USA Inc, United States; Chihyuan Lin, MediaTek Inc, Taiwan; Charles Chien, MediaTek USA Inc, United States; Paul Liang, Hc Hwang, MediaTek Inc, Taiwan
SPCOM-P4.1: ERGODIC ROBUST RATE BALANCING FOR RANK-ONE VECTOR BROADCAST CHANNELS VIA SEQUENTIAL APPROXIMATIONS
Andreas Gruendinger, David Leiner, Michael Joham, Christoph Hellings, Wolfgang Utschick, Technische Universität München, Germany
SPCOM-P4.2: MAXIMUM-SNR TRANSMIT ANTENNA SELECTION WITH TWO RECEIVE ANTENNAS IS POLYNOMIALLY SOLVABLE
Maria Gkizeli, The State University of New York at Buffalo, United States; George Karystinos, Technical University of Crete, Greece
SPCOM-P4.3: MULTIUSER MISO BEAMFORMING FOR SIMULTANEOUS WIRELESS INFORMATION AND POWER TRANSFER
Jie Xu, Liang Liu, Rui Zhang, National University of Singapore, Singapore
SPCOM-P4.4: A CONVEX APPROXIMATION METHOD FOR MULTIUSER MISO SUM RATE MAXIMIZATION UNDER DISCRETE RATE CONSTRAINTS
Hoi-To Wai, Qiang Li, Wing-Kin Ma, The Chinese University of Hong Kong, Hong Kong SAR of China
SPCOM-P4.5: BACKHAUL-CONSTRAINED OPTIMIZATION FOR HYBRID ACCESS SMALL CELLS
Yufei Yang, Tony Q. S. Quek, Lingjie Duan, Singapore University of Technology and Design, Singapore
SPCOM-P4.6: COORDINATE UPDATE ALGORITHMS FOR ROBUST POWER LOADING FOR THE MISO DOWNLINK WITH OUTAGE CONSTRAINTS AND GAUSSIAN UNCERTAINTIES
Foad Sohrabi, Timothy N. Davidson, McMaster University, Canada
SPCOM-P4.7: OPTIMAL CHUNK-BASED RESOURCE ALLOCATION FOR OFDMA SYSTEMS WITH MULTIPLE BER REQUIREMENTS
Tianzhou He, Florida Atlantic University, United States; Xin Wang, Fudan University, China; Wei Ni, Commonwealth Sci. & Ind. Res. Organ., Australia
SPCOM-P4.8: DOWNLINK CELL ASSOCIATION OPTIMIZATION FOR HETEROGENEOUS NETWORKS VIA DUAL COORDINATE DESCENT
Kaiming Shen, Wei Yu, University of Toronto, Canada
SPCOM-P4.9: ENERGY-EFFICIENT DOWNLINK TRANSMISSION WITH BASE STATION CLOSING IN SMALL CELL NETWORKS
Liyan Su, Chenyang Yang, Zhikun Xu, Beihang University, China; Andreas. F. Molisch, University of Southern California, United States
SPCOM-P4.10: JOINT POWER AND ADMISSION CONTROL VIA P NORM MINIMIZATION DEFLATION
Ya-Feng Liu, Yu-Hong Dai, Chinese Academy of Sciences, China
SPCOM-P4.11: OPTIMAL RESOURCE ALLOCATION FOR MULTIPLE ACCESS CHANNEL WITH CONFERENCING LINKS AND A SHARED RENEWABLE ENERGY SOURCE
Dan Zhao, Queen Mary University of London, United Kingdom; Chuan Huang, Arizona State University, United States; Yue Chen, Queen Mary University of London, United Kingdom; Shuguang Cui, Texas A&M University, United States
SPCOM-P4.12: OUTAGE CONSTRAINED WEIGHTED SUM RATE MAXIMIZATION FOR MISO INTERFERENCE CHANNEL BY PRICING-BASED OPTIMIZATION
Wei-Chiang Li, National Tsing Hua University, Taiwan; Tsung-Hui Chang, National Taiwan University of Science and Technology, Taiwan; Che Lin, Chong-Yung Chi, National Tsing Hua University, Taiwan
SPCOM-P4.13: POWER ALLOCATION FOR JOINT ESTIMATION WITH ENERGY HARVESTING CONSTRAINTS
Chuan Huang, Arizona State University, United States; Yang Zhou, Tao Jiang, Huazhong University of Science and Technology, China; Ping Zhang, Beijing University of Posts and Telecommunications, China; Shuguang Cui, Texas A&M University, United States
SPCOM-P4.14: POWER CONTROL FOR MULTIPLE SPECTRUM-SHARING NETWORKS UNDER RANDOM GEOMETRIC TOPOLOGIES
Ran Cai, The Chinese University of Hong Kong, Hong Kong SAR of China; Jian-Kang Zhang, Timothy N. Davidson, Kon Max Wong, McMaster University, Canada; P.C. Ching, The Chinese University of Hong Kong, Hong Kong SAR of China
SPCOM-P5.1: RELIABLE COMPUTATION OF NOMOGRAPHIC FUNCTIONS OVER GAUSSIAN MULTIPLE-ACCESS CHANNELS
Mario Goldenbaum, Technische Universität Berlin, Germany; Holger Boche, Technische Universität München, Germany; Slawomir Stanczak, Technische Universität Berlin, Germany
SPCOM-P5.2: ROBUST NONCOOPERATIVE RATE-MAXIMIZATION GAME FOR MIMO GAUSSIAN INTERFERENCE CHANNELS UNDER BOUNDED CHANNEL UNCERTAINTY
Amod Jai Ganesh Anandkumar, Loughborough University, United Kingdom; Animashree Anandkumar, University of California, Irvine, United States; Sangarapillai Lambotharan, Jonathon A. Chambers, Loughborough University, United Kingdom
SPCOM-P5.3: SHARING VS. SPLITTING SPECTRUM IN OFDMA FEMTOCELL NETWORKS
Omar Mehanna, University of Minnesota, United States
SPCOM-P5.4: A BALANCED PRECODING SCHEME FOR THE TWO-USER SISO X CHANNEL WITH OPTIMAL DOF AND A SMALL POWER OFFSET
Ahmed Medra, Timothy N. Davidson, McMaster University, Canada
SPCOM-P5.5: ALTERNATING RATE PROFILE OPTIMIZATION IN SINGLE STREAM MIMO INTERFERENCE CHANNELS
Rami Mochaourab, Fraunhofer Heinrich Hertz Institute, Germany; Pan Cao, Eduard A. Jorswieck, Technische Universität Dresden, Germany
SPCOM-P5.6: EFFICIENT INFORMATION LEAKAGE NEUTRALIZATION ON A RELAY-ASSISTED MULTI-CARRIER INTERFERENCE CHANNEL
Zuleita K.-M. Ho, Eduard A. Jorswieck, Sabrina Gerbracht, Technische Universität Dresden, Germany
SPCOM-P5.7: LINEAR TRANSCEIVER DESIGN FOR RELAY-ASSISTED BROADCAST SYSTEMS WITH DIAGONAL SCALING
Chao Zhao, Benoit Champagne, McGill University, Canada
SPCOM-P5.8: MULTI-USER MISO BROADCASTING FOR INDOOR VISIBLE LIGHT COMMUNICATION
Zhenhua Yu, Georgia Institute of Technology, United States; Robert J. Baxley, Georgia Tech Research Institute, United States; G. Tong Zhou, Georgia Institute of Technology, United States
SPCOM-P5.9: INTERFERENCE-AWARE RATE CONTROL FOR BURSTY INTERFERENCE CHANNELS
Peter Kairouz, University of Illinois at Urbana-Champaign, United States; Ahmed Sadek, Tamer Kadous, Qualcomm Research, United States
SPCOM-P5.10: COORDINATED BEAMFORMING FOR MUTUALLY INTERFERING MULTI-ANTENNA WLAN NETWORKS WITH MULTIPACKET RECEPTION
Amitav Mukherjee, Hitachi America, Ltd., United States; Sayantan Choudhury, Nokia Research Center, United States
SPCOM-P5.11: POWER MINIMIZATION IN THE MULTIUSER DOWNLINK UNDER USER RATE CONSTRAINTS AND IMPERFECT TRANSMITTER CSI
José P. González-Coma, University of A Coruña, Spain; Michael Joham, Technische Universität München, Germany; Paula M. Castro, Luis Castedo, University of A Coruña, Spain
SPCOM-P5.12: SPACE TIME INTERFERENCE ALIGNMENT SCHEME FOR THE MIMO BC AND IC WITH DELAYED CSIT AND FINITE COHERENCE TIME
Yohan Lejosne, Orange Labs, France; Dirk Slock, EURECOM, France; Yi Yuan-Wu, Orange Labs, France
SPCOM-P5.13: WEIGHTED SUM RATE MAXIMIZATION FOR COGNITIVE MISO BROADCAST CHANNEL: LARGE SYSTEM ANALYSIS
YuanYuan He, Subhrakanti Dey, University of Melbourne, Australia
SPCOM-P6.1: SYNCHRONIZATION AND RANGING BY SCHEDULED BROADCASTING
Hassan Naseri, Jussi Salmi, Visa Koivunen, Aalto University, Finland
SPCOM-P6.2: ACOUSTIC CHANNEL MODEL FOR ADAPTIVE DOWNHOLE COMMUNICATION OVER DEEP DRILL STRINGS
Miguel Angel Gutierrez, Udo Krueger, Kirsten A. Krueger, Konstantinos Manolakis, Volker Jungnickel, Fraunhofer Heinrich Hertz Institute, Germany
SPCOM-P6.3: NONCOHERENT LEAST SQUARES ESTIMATORS OF CARRIER PHASE AND AMPLITUDE
Robby McKilliam, Andre Pollok, Bill Cowley, University of South Australia, Australia; I. Vaughan L. Clarkson, University of Queensland, Australia; Barry Quinn, Macquarie University, Australia
SPCOM-P6.4: OPTIMAL QUANTIZERS FOR DISTRIBUTED BAYESIAN ESTIMATION
Aditya Vempaty, Biao Chen, Pramod K. Varshney, Syracuse University, United States
SPCOM-P6.5: HYBRID MAXIMUM A POSTERIORI ESTIMATION UNDER COMMUNICATION CONSTRAINTS
Esha Nerurkar, Stergios Roumeliotis, University of Minnesota, United States
SPCOM-P6.6: IMPROVED TIME SYNCHRONIZATION IN PRESENCE OF IMPERFECT CHANNEL STATE INFORMATION
Cong Luong Nguyen, Anissa Mokraoui, Université Paris 13, Sorbonne Paris Cité, France; Pierre Duhamel, Supélec, France; Nguyen Linh-Trung, VNU University of Engineering and Technology, Viet Nam
SPCOM-P6.7: DICTIONARY-BASED RECONSTRUCTION OF THE CYCLIC AUTOCORRELATION VIA L1-MINIMIZATION FOR CYCLOSTATIONARY SPECTRUM SENSING
Andreas Bollig, Rudolf Mathar, RWTH Aachen University, Germany
SPCOM-P6.8: JOINT PHASE-RECOVERY AND DEMODULATION-DECODING OF AIS SIGNALS RECEIVED BY SATELLITE
Raoul Prévost, Martial Coulon, University of Toulouse, France; David Bonacci, TéSA, France; Julia LeMaitre, Jean-Pierre Millerioux, CNES, France; Jean-Yves Tourneret, University of Toulouse, France
SPCOM-P6.9: LOW-COMPLEXITY AND HIGH-PERFORMANCE NON-COHERENT CELL IDENTIFICATION DETECTION SCHEMES FOR OFDM-BASED SYSTEMS
Ying-Tsung Lin, Yi-Hsiang Wang, Sau-Gee Chen, Chih-Liang Chen, National Chiao Tung University, Taiwan
SPCOM-P6.10: LOW-COMPLEXITY KALMAN FILTER-BASED CARRIER FREQUENCY OFFSET ESTIMATION AND TRACKING FOR OFDM SYSTEMS
Mahmoud Ashour, Amr El-Keyi, Nile University, Egypt; Ahmed Sultan, Alexandria University, Egypt
SPCOM-P6.11: GENERALIZED VECTOR STATE-SCALAR OBSERVATION KALMAN CHANNEL ESTIMATOR FOR DOUBLY-SELECTIVE OFDM SYSTEMS
Karthik Muralidhar, STMicroelectronics, Singapore; Dheeraj Sreedhar, IBM, India
SPCOM-P6.12: ZIV-ZAKAI LOWER BOUND FOR UWB BASED TOA ESTIMATION WITH MULTIUSER INTERFERENCE
Adrià Gusi Amigó, Luc Vandendorpe, Louvain School of Engineering, Université catholique de Louvain, Belgium
SPCOM-P6.13: EFFECT OF SYNCHRONIZING COORDINATED BASE STATIONS ON PHASE NOISE ESTIMATION
M. Reza Khanzadi, Rajet Krishnan, Thomas Eriksson, Chalmers University of Technology, Sweden
SPCOM-P7.1: ENERGY-EFFICIENT RELAYING USING RATELESS CODES
Jörg Bühler, Slawomir Stanczak, Technical University Berlin, Germany
SPCOM-P7.2: ON THE IMPACT OF TRANSCEIVER IMPAIRMENTS ON AF RELAYING
Emil Björnson, Supélec & KTH Royal Institute of Technology, France; Agisilaos Papadogiannis, Michail Matthaiou, Chalmers University of Technology, Sweden; Mérouane Debbah, Supélec, France
SPCOM-P7.3: SNR-PER-UNIT-POWER OPTIMIZATION IN RELAY NETWORKS
Yichen Hao, Yindi Jing, University of Alberta, Canada; Shahram ShahbazPanahi, University of Ontario Institute of Technology, Canada
SPCOM-P7.4: SUM RATE MAXIMIZATION AND ENERGY HARVESTING FOR TWO-WAY AF RELAY SYSTEMS WITH IMPERFECT CSI
Dandan Li, Chao Shen, Zhengding Qiu, Beijing Jiaotong University, China
SPCOM-P7.5: WORST-CASE BASED ROBUST DISTRIBUTED BEAMFORMING FOR RELAY NETWORKS
Haihua Chen, Li Zhang, Nankai University, China
SPCOM-P7.6: AUTOCORRELATION-BASED ADAPTATION RULE FOR FEEDBACK EQUALIZATION IN WIDEBAND FULL-DUPLEX AMPLIFY-AND-FORWARD MIMO RELAYS
Emilio Antonio-Rodríguez, Aalto Univeristy, Finland; Roberto López-Valcarce, Univeristy of Vigo, Spain; Taneli Riihonen, Stefan Werner, Risto Wichman, Aalto Univeristy, Finland
SPCOM-P7.7: DISTRIBUTED CONCATENATED ALAMOUTI CODE DESIGNS FOR ONE-WAY RELAY NETWORKS USING UNIQUELY-FACTORABLE PSK CONSTELLATION
Zheng Dong, Jian-Kang Zhang, McMaster University, Canada
SPCOM-P7.8: OPTIMAL DISTRIBUTED CONCATENATED SPACE-TIME BLOCK CODES FOR TWO-WAY RELAYING NETWORKS
Feng-Kui Gong, Xidian University, China; Jian-Kang Zhang, McMaster University, Canada; Jian-Hua Ge, Xidian University, China
SPCOM-P7.9: ORTHOGONALLY-DISTRIBUTED SPACE-TIME BLOCK CODES FOR RELAY CHANNELS
Gongjin Chen, Jian-Kang Zhang, Kon Max Wong, McMaster University, Canada
SPCOM-P7.10: SEMI-BLIND CHANNEL ESTIMATION FOR OFDM-BASED AMPLIFY-AND-FORWARD TWO-WAY RELAY NETWORKS
Saeed Abdallah, Ioannis Psaromiligkos, McGill University, Canada
SPCOM-P7.11: TWO-WAY INTERFERENCE-LIMITED AF RELAYING WITH SELECTION-COMBINING
Ehsan Soleimani-Nasab, Michail Matthaiou, Chalmers University of Technology, Sweden; George K. Karagiannidis, Aristotle University of Thessaloniki, Greece
SPCOM-P7.12: TWO-WAY RELAY BEAMFORMING DESIGN: PROPORTIONAL FAIR AND MAX-MIN RATE FAIR APPROACHES USING POTDC
Arash Khabbazibasmenj, Sergiy Vorobyov, Alberta, Canada
SPCOM-P7.13: A LOW COMPLEXITY ALGORITHM FOR COLLABORATIVE-RELAY BEAMFORMING
Jiangyuan Li, Athina P. Petropulu, Rutgers, The State University of New Jersey, United States
SPCOM-P7.14: TWO-WAY RELAYING VIA MODULO-AND-FORWARD FOR MIMO SIGNAL TRANSMISSION
David Lin, I-Chou Chung, National Chiao Tung University, Taiwan
SPCOM-P8.1: FULL-DIVERSITY DISTRIBUTED SPACE–TIME CODES WITH AN EFFICIENT ML DECODER FOR ASYNCHRONOUS COOPERATIVE COMMUNICATIONS
Yun Liu, The Chinese University of Hong Kong, Hong Kong SAR of China; Wei Zhang, The University of New South Wales, Australia; P.C. Ching, The Chinese University of Hong Kong, Hong Kong SAR of China
SPCOM-P8.2: DESIGN OF DECISION DEVICE FOR THE ADAPTATION OF DECISION DIRECTED EQUALIZERS
Atulya Yellepeddi, Massachusetts Institute of Technology, Woods Hole Oceanographic Institute, United States; James Preisig, Woods Hole Oceanographic Institution, United States
SPCOM-P8.3: ADAPTIVE QUANTIZATION ON THE GRASSMANN-MANIFOLD FOR LIMITED FEEDBACK MULTI-USER MIMO SYSTEMS
Stefan Schwarz, Vienna University of Technology, Austria; Robert W. Heath Jr., The University of Texas at Austin, United States; Markus Rupp, Vienna University of Technology, Austria
SPCOM-P8.4: EFFICIENT SINR FAIRNESS ALGORITHM FOR LARGE DISTRIBUTED MULTIPLE-ANTENNA NETWORKS
Yichao Huang, University of California, San Diego, United States; Chee Wei Tan, City University of Hong Kong, Hong Kong SAR of China; Bhaskar D. Rao, University of California, San Diego, United States
SPCOM-P8.5: FIXED-POINT REALIZATION OF LATTICE-REDUCTION AIDED MIMO RECEIVERS WITH COMPLEX K-BEST ALGORITHM
Qingsong Wen, Qi Zhou, Georgia Institute of Technology, United States; Chunming Zhao, NA, United States; Xiaoli Ma, Georgia Institute of Technology, United States
SPCOM-P8.6: LARGE DEVIATION DELAY ANALYSIS OF QUEUE-AWARE MULTI-USER MIMO SYSTEMS WITH TWO TIMESCALE MOBILE-DRIVEN FEEDBACK
Junting Chen, Vincent Lau, The Hong Kong University of Science and Technology, Hong Kong SAR of China
SPCOM-P8.7: MULTI-STREAM TRANSMISSION IN MIMO-FBMC SYSTEMS
Màrius Caus, Ana Pérez-Neira, Universitat Politècnica de Catalunya (UPC), Spain
SPCOM-P8.8: ZERO-FORCING PRE-EQUALIZATION WITH TRANSMIT ANTENNA SELECTION IN MIMO SYSTEMS
Seyran Khademi, Sundeep Prabhakar Chepuri, Geert Leus, Alle-Jan van der Veen, Delft University of Technology, Netherlands
SPCOM-P8.9: WHERE TO PREDICT THE CHANNEL FOR COOPERATIVE MULTI-CELL TRANSMISSION OVER CORRELATED SUBCARRIERS?
Richard Fritzsche, Eckhard Ohlmer, Gerhard P. Fettweis, Technische Universität Dresden, Germany
SPCOM-P8.10: CHARACTERIZING FADING CHANNEL UNDER ABRUPT TEMPORAL VARIATIONS
Ni-Chun Wang, Kung Yao, University of California, Los Angeles, United States
SPCOM-P8.11: PILOT DESIGN FOR MIMO CHANNEL ESTIMATION: AN ALTERNATIVE TO THE KRONECKER STRUCTURE ASSUMPTION
John Flåm, Norwegian University of Science and Technology, Norway; Emil Björnson, Supélec, France; Saikat Chatterjee, KTH Royal Institute of Technology, Sweden
SPCOM-P8.12: SIGNAL REGION CHARACTERIZATION AND EXACT PHASE RECOVERY FOR CONSTANT ENVELOPE PRECODING IN SINGLE-USER LARGE-SCALE MISO CHANNELS
Jiaxian Pan, Wing-Kin Ma, The Chinese University of Hong Kong, Hong Kong SAR of China
SPCOM-P8.13: LLR QUANTIZATION AND RESOURCE ALLOCATION OF CONSTRAINED BACKHAUL FOR MULTICELL PROCESSING
Federico Cauduro, Stefano Tomasin, University of Padova, Italy
SPCOM-P8.14: NOVEL FULL-RATE NONCOHERENT ALAMOUTI ENCODING THAT ALLOWS POLYNOMIAL-COMPLEXITY OPTIMAL DECODING
Panos Markopoulos, The State University of New York at Buffalo, United States; George Karystinos, Technical University of Crete, Greece
SPCOM-P9.1: RANK DEFICIENT DECODING OF LINEAR NETWORK CODING
Zhiyuan Yan, Hongmei Xie, Lehigh University, United States; Bruce Suter, Air Force Research Laboratory, United States
SPCOM-P9.2: ANALYSIS OF FINITE-ALPHABET ITERATIVE DECODERS UNDER PROCESSING ERRORS
Chu-Hsiang Huang, Lara Dolecek, University of California, Los Angeles, United States
SPCOM-P9.3: CHANNEL DEPENDENT ADAPTIVE MODULATION AND CODING WITHOUT CHANNEL STATE INFORMATION AT THE TRANSMITTER
Bradford D. Boyle, John MacLaren Walsh, Steven Weber, Drexel University, United States
SPCOM-P9.4: COMPLEXITY REDUCTION FOR VECTOR PRECODING USING QOS REQUIREMENTS
Christos Masouros, University College London, United Kingdom; Tharmalingam Ratnarajah, University of Edinburgh, United Kingdom; Mathini Sellathurai, Heriot-Watt University, United Kingdom
SPCOM-P9.5: FFT-SPA NON-BINARY LDPC DECODING ON GPU
Joao Andrade, Gabriel Falcao, Vitor Silva, University of Coimbra, Portugal; Kenta Kasai, Tokyo Institute of Technology, Japan
SPCOM-P9.6: AN EM APPROACH FOR JOINT CHANNEL ESTIMATION AND CHANNEL DECODING IN SYSTEMS EMPLOYING PHYSICAL-LAYER NETWORK CODING
Taotao Wang, Soung Chang Liew, The Chinese University of Hong Kong, Hong Kong SAR of China
SPCOM-P9.7: HYBRID DIGITAL ANALOG TRANSFORM CODING
Matthias Rüngeler, Peter Vary, RWTH Aachen University, Germany
SPCOM-P9.8: LIKELIHOOD CODEBOOK REORDERING VECTOR QUANTIZATION
Chu Meh Chu, David Anderson, Georgia Institute of Technology, United States
SPCOM-P9.9: ON THE USE OF EXPLICIT REDUNDANCY FOR DELAYLESS SOFT-DECISION AUDIO DECODING
Florian Pflug, Tim Fingscheidt, Technische Universität Braunschweig, Germany
SPCOM-P9.10: PERFORMANCE BOUNDS FOR SENSOR DATA GATHERING BY CODING IN FINITE FIELDS
Tamara Tosic, Pascal Frossard, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
SPCOM-P9.11: TOWARDS MINIMISING THE COEFFICIENT VECTOR OVERHEAD IN RANDOM LINEAR NETWORK CODING
Chamitha de Alwis, Hemantha Kodikara Arachchi, Anil Fernando, Ahmet Kondoz, University of Surrey, United Kingdom
SPCOM-P9.12: UNIVERSAL WYNER-ZIV CODING FOR GAUSSIAN SOURCES
Elsa Dupraz, LSS, France; Aline Roumy, INRIA, France; Michel Kieffer, LSS, France
SPCOM-P9.13: LINK ADAPTATION FOR BICM-OFDM THROUGH ADAPTIVE KERNEL REGRESSION
Sander Wahls, H. Vincent Poor, Princeton University, United States
SPCOM-P9.14: SOFT-INPUT SOFT-OUTPUT LINEAR PROGRAMMING DECODING
Erica Daly, The University of Illinois at Urbana-Champaign, United States
SPCOM-P10.1: DETECTION AND LOCALIZATION FOR AN UNKNOWN EMITTER USING TDOA MEASUREMENTS AND SPARSITY OF RECEIVED SIGNALS IN A SYNCHRONIZED WIRELESS SENSOR NETWORK
Shaokan Zhang, Xidian University, China; Huijuan Jiang, Nanjing Telecommunication Technology Institute, China; Kehu Yang, Xidian University, China
SPCOM-P10.2: CRLB FOR THE LOCALIZATION ERROR IN THE PRESENCE OF FADING
Xue Zhang, Cihan Tepedelenlioglu, Mahesh Banavar, Andreas Spanias, Arizona State University, United States
SPCOM-P10.3: EFFICIENT DOA, DOD, AND TARGET ESTIMATION FOR BISTATIC MIMO SONAR
Dimitrios Koupatsiaris, George Karystinos, Technical University of Crete, Greece
SPCOM-P10.4: MODIFIED CRAMER-RAO LOWER BOUNDS FOR TOA AND SYMBOL WIDTH ESTIMATION. AN APPLICATION TO SEARCH AND RESCUE SIGNALS
Victor Bissoli Nicolau, Martial Coulon, University of Toulouse, France; Yoan Gregoire, Centre national d'etudes spatiales (French government space agency), France; Thibaud Calmettes, Thales Alenia Space, France; Jean-Yves Tourneret, University of Toulouse, France
SPCOM-P10.5: INTEGRATED IMU AND RADIOLOCATION-BASED NAVIGATION USING A RAO-BLACKWELLIZED PARTICLE FILTER
William Wei-Liang Li, Ronald A. Iltis, University of California, Santa Barbara, United States; Moe Z. Win, Massachusetts Institute of Technology, United States
SPCOM-P10.6: JOINT NODE LOCALIZATION AND TIME-VARYING CLOCK SYNCHRONIZATION IN WIRELESS SENSOR NETWORKS
Aitzaz Ahmad, Erchin Serpedin, Texas A&M University, United States; Hazem Nounou, Mohamed Nounou, Texas A&M University at Qatar, Qatar
SPCOM-P10.7: POSTERIOR CRLB FOR TRACKING A MOBILE STATION IN NLOS MULTIPATH ENVIRONMENTS
Behailu Yohannes Shikur, Tobias Weber, University of Rostock, Germany
SPCOM-P10.8: SIMULTANEOUS LOCALIZATION AND TRACKING VIA REAL-TIME NONPARAMETRIC BELIEF PROPAGATION
Vladimir Savic, Linköping University, Sweden; Henk Wymeersch, Chalmers University of Technology, Sweden
SPCOM-P10.9: POSITION AND ORIENTATION ESTIMATION OF A RIGID BODY: RIGID BODY LOCALIZATION
Sundeep Prabhakar Chepuri, Geert Leus, Alle-Jan van der Veen, Delft University of Technology, Netherlands
SPCOM-P10.10: A NOVEL ML BASED JOINT TOA AND AOA ESTIMATOR FOR IR-UWB SYSTEMS
Fang Shang, Benoit Champagne, Ioannis Psaromiligkos, McGill University, Canada
SPCOM-P10.11: TARGET LOCALIZATION IN WIRELESS SENSOR NETWORKS USING ERROR CORRECTING CODES IN THE PRESENCE OF BYZANTINES
Aditya Vempaty, Syracuse University, United States; Yunghsiang Han, National Taiwan University of Science and Technology, Taiwan; Pramod K. Varshney, Syracuse University, United States
SPCOM-P10.12: TARGET TRACKING WITH DISTANCE-DEPENDENT MEASUREMENT NOISE IN WIRELESS SENSOR NETWORKS
Xiaoqing Hu, Bugong Xu, South China University of Technology, China; Yu Hen Hu, University of Wisconsin-Madison, United States
SPCOM-P10.13: MAP-BASED AUTOMATIC MODULATION CLASSIFICATION FOR WIRELESS ADAPTIVE OFDM SYSTEMS
Lars Häring, Christian Kisters, University Duisburg-Essen, Germany
SPCOM-P11.1: SECURE DISTRIBUTED ESTIMATION IN CYBER-PHYSICAL SYSTEMS
Usman Khan, Aleksandar Stankovic, Tufts University, United States
SPCOM-P11.2: ATTAINING OPTIMAL BATCH PERFORMANCE VIA DISTRIBUTED PROCESSING OVER NETWORKS
Xiaochuan Zhao, Ali H. Sayed, University of California, Los Angeles, United States
SPCOM-P11.3: AXIOMATIC CONSTRUCTION OF HIERARCHICAL CLUSTERING IN ASYMMETRIC NETWORKS
Gunnar Carlsson, Stanford University, United States; Facundo Mémoli, University of Adelaide, United States; Alejandro Ribeiro, Santiago Segarra, University of Pennsylvania, United States
SPCOM-P11.4: COOPERATIVE DAY-AHEAD BIDDING STRATEGIES FOR DEMAND-SIDE EXPECTED COST MINIMIZATION
Italo Atzeni, Luis G. Ordóñez, Universitat Politècnica de Catalunya - Barcelona Tech, Spain; Gesualdo Scutari, The State University of New York at Buffalo, United States; Daniel P. Palomar, Hong Kong University of Science and Technology, Hong Kong SAR of China; Javier Rodríguez Fonollosa, Universitat Politècnica de Catalunya - Barcelona Tech, Spain
SPCOM-P11.5: DISTRIBUTED DEMAND-SIDE OPTIMIZATION WITH LOAD UNCERTAINTY
Jarmo Lundén, Stefan Werner, Visa Koivunen, Aalto University, Finland
SPCOM-P11.6: DISTRIBUTED FREQUENCY CONTROL VIA DEMAND RESPONSE IN SMART GRIDS
Mohammad R. Vedady Moghadam, National University of Singapore, Singapore; Richard T. B. Ma, Advanced Digital Sciences Center, Singapore; Rui Zhang, National University of Singapore, Singapore
SPCOM-P11.7: MINING ANOMALOUS ELECTRICITY CONSUMPTION USING ENSEMBLE EMPIRICAL MODE DECOMPOSITION
Romain Fontugne, The University of Tokyo / Japanese French Laboratory for Informatics, Japan; Nicolas Tremblay, Pierre Borgnat, Patrick Flandrin, CNRS, Ecole Normale Superieure de Lyon, Physics Laboratory, France; Hiroshi Esaki, The University of Tokyo, France
SPCOM-P11.8: ROBUST COLLABORATIVE STATE ESTIMATION FOR SMART GRID MONITORING
Xiao Li, Anna Scaglione, University of California, Davis, United States
SPCOM-P11.9: ONLINE CONTROL FOR ENERGY STORAGE MANAGEMENT WITH RENEWABLE ENERGY INTEGRATION
Tianyi Li, Min Dong, University of Ontario Institute of Technology, Canada
SPCOM-P11.10: OPTIMAL SENSOR PLACEMENT FOR HYBRID STATE ESTIMATION IN SMART GRID
Xiao Li, Anna Scaglione, University of California, Davis, United States; Tsung-Hui Chang, National Taiwan University of Science and Technology, Taiwan
SPCOM-P11.11: SIMPLIFYING THE HOMOLOGY OF NETWORKS VIA STRONG COLLAPSES
Adam C. Wilkerson, North Carolina State University, United States; Terrence J. Moore, Ananthram Swami, U.S. Army Research Lab, United States; Hamid Krim, North Carolina State University, United States
SPCOM-P11.12: SOCIALLY-OPTIMAL DESIGN OF CROWDSOURCING PLATFORMS WITH REPUTATION UPDATE ERRORS
Yuanzhang Xiao, Yu Zhang, Mihaela Van Der Schaar, University of California, Los Angeles, United States
SPCOM-P11.13: STRATEGIC INFORMATION DISSEMINATION AND LINK FORMATION IN SOCIAL NETWORKS
Yu Zhang, Mihaela van der Schaar, University of California, Los Angeles, United States
SPCOM-P12.1: PERFORMANCE OF FADING MULTI-USER DIVERSITY FOR UNDERLAY COGNITIVE NETWORKS
Fahd Ahmed Khan, King Abdullah University of Science and Technology, Saudi Arabia; Mérouane Debbah, Supélec, France; Kamel Tourki, Texas A&M University at Qatar, Qatar; Mohamed-Slim Alouini, King Abdullah University of Science and Technology, Saudi Arabia
SPCOM-P12.2: DECENTRALIZED COMPUTATION OF THE CONDITIONAL POSTERIOR CRAMER-RAO LOWER BOUND: APPLICATION TO ADAPTIVE SENSOR SELECTION
Arash Mohammadi, Amir Asif, York University, Canada
SPCOM-P12.3: DISTRIBUTED RLS ESTIMATION FOR COOPERATIVE SENSING IN SMALL CELL NETWORKS
Stefania Sardellitti, Sergio Barbarossa, University of Rome La Sapienza, Italy
SPCOM-P12.4: COOPERATIVE SPARSITY PATTERN RECOVERY IN DISTRIBUTED NETWORKS VIA DISTRIBUTED-OMP
Thakshila Wimalajeewa, Pramod K. Varshney, Syracuse University, United States
SPCOM-P12.5: COOPERATIVE SPECTRUM SHARING IN WIRELESS AD-HOC NETWORKS
Chao Zhai, Wei Zhang, The University of New South Wales, Australia; Guoqiang Mao, The University of Sydney, Australia
SPCOM-P12.6: COOPERATIVE SPECTRUM SHARING WITH JOINT RECEIVER DECODING
Songze Li, Urbashi Mitra, University of Southern California, United States; Ashish Pandharipande, Philips Research, Netherlands
SPCOM-P12.7: JOINT DATA AND CONNECTION TOPOLOGY RECOVERY IN COLLABORATIVE WIRELESS SENSOR NETWORKS
André Almeida, Federal University of Ceará, Brazil; Alain Kibangou, University Joseph Fourier, France; Sebastian Miron, Université de Lorraine, France; Daniel Araújo, Federal University of Ceará, Brazil
SPCOM-P12.8: DIFFUSION-BASED DISTRIBUTED ADAPTIVE ESTIMATION UTILIZING GRADIENT-DESCENT TOTAL LEAST-SQUARES
Reza Arablouei, University of South Australia, Australia; Stefan Werner, Aalto University, Finland; Kutluyil Dogançay, University of South Australia, Australia
SPCOM-P12.9: DISTRIBUTED DETECTION WITH COMMON OBSERVATIONS
Hao Chen, Boise State University, United States; Tsang-Yi Wang, National Sun Yat-sen University, Taiwan
SPCOM-P12.10: HYBRID SPECTRUM SHARING WITH IMPERFECT SENSING IN FADING CHANNELS
Yalin Zhang, P.C. Ching, The Chinese University of Hong Kong, Hong Kong SAR of China; Qinyu Zhang, Harbin Institute of Technology, Shenzhen Graduate School, China
SPCOM-P12.11: LEARNING-STAGE BASED DECENTRALIZED ADAPTIVE ACCESS POLICY FOR DYNAMIC SPECTRUM ACCESS
Marjan Zandi, Min Dong, University of Ontario Institute of Technology, Canada
SPCOM-P12.12: NEW MODEL FOR OPTIMIZED PERIODOGRAM-BASED SPECTRUM SENSING FOR COGNITIVE RADIOS
Emad Alsusa, Ebtihal Gismalla, University of Manchester, United Kingdom
SPCOM-P12.13: OPPORTUNISTIC CHANNEL-AWARE SPECTRUM ACCESS FOR COGNITIVE RADIO NETWORKS WITH PERIODIC SENSING
Sheu-Sheu Tan, James Zeidler, Bhaskar D. Rao, University of California, San Diego, United States
SPCOM-P12.14: PARTIALLY COHERENT DISTRIBUTED DETECTION UNDER TOTAL POWER CONSTRAINT
Zhenhua Xu, Jianguo Huang, Qunfei Zhang, Northwestern Polytechnical University, China
SPTM-L1.1: SEQUENCES WITH MINIMAL TIME-FREQUENCY SPREADS
Reza Parhizkar, Yann Barbotin, Martin Vetterli, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
SPTM-L1.2: LOCAL REGULARITY FOR TEXTURE SEGMENTATION: COMBINING WAVELET LEADERS AND PROXIMAL MINIMIZATION
Nelly Pustelnik, ENSL, France; Herwig Wendt, IRIT-ENSEEIHT, France; Patrice Abry, ENSL, France
SPTM-L1.3: DETECTING STATIONARY PHASE POINTS IN THE TIME-FREQUENCY PLANE
Bernard Mulgrew, The University of Edinburgh, United Kingdom
SPTM-L1.4: ANALYSIS OF STRONGLY MODULATED MULTICOMPONENT SIGNALS WITH THE SHORT-TIME FOURIER TRANSFORM
Thomas Oberlin, Sylvain Meignen, University of Grenoble and CNRS, France; Stephen McLaughlin, Heriot-Watt University, United Kingdom
SPTM-L1.5: COMPLEMENTARY ENVELOPE ESTIMATION FOR FREQUENCY-MODULATED RANDOM SIGNALS
Pascal Clark, Johns Hopkins University, United States; Ivars Kirsteins, Naval Undersea Warfare Center, United States; Les Atlas, University of Washington, United States
SPTM-L1.6: MULTI-SCALE TEST PROCEDURE FOR NON-STATIONARITY IN SHORT AND LONG MEMORY TIME SERIES
Olaf Kouamo, Cédric Gouy-Pailler, CEA LIST, France
SPTM-L2.1: EXACT AND APPROXIMATE POLYNOMIAL DECOMPOSITION METHODS FOR SIGNAL PROCESSING APPLICATIONS
Sefa Demirtas, Guolong Su, Alan V. Oppenheim, Massachusetts Institute of Technology, United States
SPTM-L2.2: CLOSED-FORM SOLUTIONS WITHIN SPARSIFYING TRANSFORM LEARNING
Saiprasad Ravishankar, Yoram Bresler, University of Illinois, United States
SPTM-L2.3: ADAPTIVE STEP SIZE SELECTION FOR OPTIMIZATION VIA THE SKI RENTAL PROBLEM
Amirali Aghazadeh, Ali Ayremlou, Daniel Calderon, Thomas Goldstein, Raajen Patel, Divyanshu Vats, Richard G. Baraniuk, Rice University, United States
SPTM-L2.4: CHARACTERIZATION OF THE RANGE OF THE HILBERT TRANSFORM FOR BOUNDED BANDLIMITED SIGNALS AND APPLICATIONS
Holger Boche, Technische Universität München, Germany; Ullrich Mönich, Massachusetts Institute of Technology, United States
SPTM-L2.5: FUSION INSPIRED CHANNEL DESIGN
Yuan Wang, Haonan Wang, Louis Scharf, Colorado State University, United States
SPTM-L2.6: PEAK-TO-AVERAGE POWER RATIO AND ILLUMINATION-TO-COMMUNICATION EFFICIENCY CONSIDERATIONS IN VISIBLE LIGHT OFDM SYSTEMS
Zhenhua Yu, Georgia Institute of Technology, United States; Robert J. Baxley, Georgia Tech Research Institute, United States; G. Tong Zhou, Georgia Institute of Technology, United States
SPTM-L3.1: ADAPTIVE LINK SELECTION STRATEGIES FOR DISTRIBUTED ESTIMATION IN DIFFUSION WIRELESS NETWORKS
Songcen Xu, University of York, United Kingdom; Rodrigo Caiado de Lamare, The University of York, United Kingdom; H. Vincent Poor, Princeton University, United States
SPTM-L3.2: DISTRIBUTED INFERENCE OVER REGRESSION AND CLASSIFICATION MODELS
Zaid Towfic, Jianshu Chen, Ali H. Sayed, University of California, Los Angeles, United States
SPTM-L3.3: THRESHOLD BEHAVIOR OF EPIDEMICS IN REGULAR NETWORKS
June Zhang, José M.F. Moura, Carnegie Mellon University, United States
SPTM-L3.4: A GREEDY SPARSITY–PROMOTING LMS FOR DISTRIBUTED ADAPTIVE LEARNING IN DIFFUSION NETWORKS
Symeon Chouvardas, Gerasimos Mileounis, Nicholas Kalouptsidis, Sergios Theodoridis, University of Athens, Greece
SPTM-L3.5: A PROXIMAL SPLITTING APPROACH TO REGULARIZED DISTRIBUTED ADAPTIVE ESTIMATION IN DIFFUSION NETWORKS
Wemer Wee, Isao Yamada, Tokyo Institute of Technology, Japan
SPTM-L3.6: DISTRIBUTED INCREMENTAL-BASED LMS FOR NODE-SPECIFIC PARAMETER ESTIMATION OVER ADAPTIVE NETWORKS
Nikola Bogdanovic, Jorge Plata-Chaves, Kostas Berberidis, University of Patras, Greece
SPTM-L4.1: DISCRETE RANDOM SAMPLING THEORY
Chenchi Luo, James McClellan, Georgia Institute of Technology, United States
SPTM-L4.2: ROBUSTNESS OF ALIASING-TOLERANT SUB-NYQUIST SAMPLING WITH APPLICATION TO PARTICLE LOCALISATION
Andre Angierski, Volker Kuehn, University of Rostock, Germany
SPTM-L4.3: SEQUENTIAL LOCAL FRI SAMPLING OF INFINITE STREAMS OF DIRACS
Jon Oñativia, Jose Antonio Urigüen, Pier Luigi Dragotti, Imperial College London, United Kingdom
SPTM-L4.4: SIGNAL PROCESSING TECHNIQUES FOR INTERPOLATION IN GRAPH STRUCTURED DATA
Sunil K. Narang, Akshay Gadde, Antonio Ortega, University of Southern California, United States
SPTM-L4.5: KERNEL-INDUCED SAMPLING THEOREM FOR BANDPASS SIGNALS WITH UNIFORM SAMPLING
Akira Tanaka, Hokkaido University, Japan
SPTM-L4.6: IMPROVED SPECTRUM-BLIND RECONSTRUCTION OF MULTI-BAND SIGNALS
A Anil Kumar, Sirajudeen Gulam Razul, Temasek Laboratories @ NTU, Singapore; Chong-Meng Samson See, DSO National Laboratories, Singapore
SPTM-L5.1: CAN WE ALLOW LINEAR DEPENDENCIES IN THE DICTIONARY IN THE SPARSE SYNTHESIS FRAMEWORK?
Raja Giryes, Michael Elad, Technion - Israel Institute of Technology, Israel
SPTM-L5.2: SPARSE SIGNAL RECOVERY FROM NONLINEAR MEASUREMENTS
Amir Beck, Yonina C. Eldar, Technion - Israel Institute of Technology, Israel
SPTM-L5.3: COMPRESSIVE K-SVD
Farhad Pourkamali Anaraki, Shannon M. Hughes, University of Colorado at Boulder, United States
SPTM-L5.4: SAMPLING AND RECONSTRUCTING DIFFUSION FIELDS IN PRESENCE OF ALIASING
Juri Ranieri, Martin Vetterli, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
SPTM-L5.5: SAMPLE ALLOCATION FOR STATISTICAL MULTIRESOLUTION COMPRESSED SENSING
Chunli Guo, Mike Davies, The University of Edinburgh, United Kingdom
SPTM-L5.6: COMPRESSIVE SENSING FOR INCOHERENT IMAGING SYSTEMS WITH OPTICAL CONSTRAINTS
Francesco Renna, Universidade do Porto, Portugal; Miguel R. D. Rodrigues, University College London, United Kingdom; Minhua Chen, University of Chicago, United States; Robert Calderbank, Lawrence Carin, Duke University, United States
SPTM-L6.1: CONNECTIONS BETWEEN SPARSE ESTIMATION AND ROBUST STATISTICAL LEARNING
Efthymios Tsakonas, Joakim Jalden, Royal Institute of Technology (KTH), Sweden; Nicholas D. Sidiropoulos, University of Minnesota, United States; Bjorn Ottersten, Royal Institute of Technology (KTH), Sweden
SPTM-L6.2: ROBUST SEMI-DEFINITE RELAXATION MIMO DETECTION IN A NON-GAUSSIAN CHANNEL
Jakob Vovnoboy, Ami Wiesel, The Hebrew University of Jerusalem, Israel; Wing-Kin Ma, The Chinese University of Hong Kong, China
SPTM-L6.3: ROBUST FUNDAMENTAL FREQUENCY ESTIMATION IN THE PRESENCE OF INHARMONICITIES
Naveed Razzaq Butt, Stefan Ingi Adalbjörnsson, Lund University, Sweden; Samuel Dilshan Somasundaram, Thales Underwater Systems, United Kingdom; Andreas Jakobsson, Lund University, Sweden
SPTM-L6.4: BACKWARD HIDDEN MARKOV CHAIN FOR OUTLIER-ROBUST FILTERING AND FIXED-INTERVAL SMOOTHING
Boujemaa Ait El Fquih, Cédric Gouy-Pailler, Commissariat à l'énergie atomique et aux énergies alternatives (CEA), France
SPTM-L6.5: ADAPTIVE SCALE BASED ENTROPY-LIKE ESTIMATOR FOR ROBUST FITTING
Jinlong Cai, Hanzi Wang, Xiamen University, China
SPTM-L6.6: ROBUST HYPOTHESIS TESTING FOR MODELING ERRORS
Gokhan Gul, Abdelhak M. Zoubir, Signal Processing Group, Germany
SPTM-L7.1: COMPRESSED SENSING UNDER MATRIX UNCERTAINTY: OPTIMUM THRESHOLDS AND ROBUST APPROXIMATE MESSAGE PASSING
Florent Krzakala, ESPCI & CNRS, France; Marc Mezard, École Normale Supérieure, France; Lenka Zdeborova, IPht, CEA Saclay & CNRS, France
SPTM-L7.2: COMPRESSIVE SENSING BOUNDS THROUGH A UNIFYING FRAMEWORK FOR SPARSE MODELS
Cem Aksoylar, Boston University, United States; George Atia, University of Central Florida, United States; Venkatesh Saligrama, Boston University, United States
SPTM-L7.3: DERIVATION OF AN ANALYTICAL EXPRESSION OF THE GAUSSIAN MODEL STATISTICAL RESOLUTION LIMIT
Messaoud Thameri, Télécom ParisTech, France; Rémy Boyer, Université Paris Sud XI, France; Karim Abed-Meraim, Polytech' Orléans, France
SPTM-L7.4: HYBRID LOWER BOUND ON THE MSE BASED ON THE BARANKIN AND WEISS-WEINSTEIN BOUNDS
Chengfang Ren, Université Paris-Sud (XI), France; Jerome Galy, Universite Montpellier 2, France; Eric Chaumette, ONERA / The French Aerospace Lab, France; Pascal Larzabal, École Normale Supérieure de Cachan, France; Alexandre Renaux, Université Paris-Sud (XI), France
SPTM-L7.5: ANGULAR RESOLUTION LIMIT FOR DETERMINISTIC CORRELATED SOURCES
Xin Zhang, Technische Universität Darmstadt, Germany; Mohammed Nabil El Korso, École Normale Supérieure de Cachan, France; Marius Pesavento, Technische Universität Darmstadt, Germany
SPTM-L7.6: PERFORMANCE ANALYSIS OF SEQUENTIAL DETECTION FOR COLLISION AVOIDANCE IN SENSOR NETWORKS
Michael Fauss, Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SPTM-L8.1: MULTIVARIATE STUDENT'S-T MIXTURE MODEL FOR BOUNDED SUPPORT DATA
Thanh Nguyen, Jonathan Wu, University of Windsor, Canada
SPTM-L8.2: MINIMAX SPARSE DETECTION BASED ON ONE-CLASS CLASSIFIERS
Raja Fazliza Raja Suleiman, David Mary, André Ferrari, Laboratoire Lagrange, UMR 7293, Université de Nice Sophia-Antipolis, CNRS, Observatoire de la Côte d'Azur, France
SPTM-L8.3: RELIABLE CLASSIFICATION BY UNRELIABLE CROWDS
Aditya Vempaty, Syracuse University, United States; Lav Varshney, IBM T.J. Watson Research Center, United States; Pramod K. Varshney, Syracuse University, United States
SPTM-L8.4: AUTHORSHIP ATTRIBUTION USING FUNCTION WORDS ADJACENCY NETWORKS
Santiago Segarra, Mark Eisen, Alejandro Ribeiro, University of Pennsylvania, United States
SPTM-L8.5: A NEW GEOMETRIC APPROACH TO LATENT TOPIC MODELING AND DISCOVERY
Weicong Ding, Mohammad Hossein Rohban, Prakash Ishwar, Venkatesh Saligrama, Boston University, United States
SPTM-L8.6: A CONTROLLED SENSING APPROACH TO GRAPH CLASSIFICATION
Jonathan Ligo, University of Illinois at Urbana-Champaign, United States; George Atia, University of Central Florida, United States; Venugopal V. Veeravalli, University of Illinois at Urbana-Champaign, United States
SPTM-P1.1: GENERAL EXPRESSIONS OF DERIVATIVE-CONSTRAINED LINEAR-PHASE TYPE-I FIR FILTERS
Peng-Hua Wang, National Taipei University, Taiwan; Bo-You Yu, Po-Ning Chen, National Chiao Tung University, Taiwan
SPTM-P1.2: A LOW COMPLEXITY RECONFIGURABLE CHANNEL FILTER BASED ON DECIMATION, INTERPOLATION AND FREQUENCY RESPONSE MASKING
Sumedh Dhabu, Smitha K. G., Vinod A. P., Nanyang Technological University, Singapore
SPTM-P1.3: A GENERAL STRUCTURE FOR THE DESIGN OF ADJUSTABLE FIR FILTERS
Chenchi Luo, Lingchen Zhu, James McClellan, Georgia Institute of Technology, United States
SPTM-P1.4: ANALYSIS OF A SAMPLED DATA SYSTEM FOR THE OPTIMAL DIGITIZING OF ANALOG FILTERS
Grigore Braileanu, Gonzaga University, United States
SPTM-P1.5: ON THE OPTIMALITY OF OPERATOR-LIKE WAVELETS FOR SPARSE AR(1) PROCESSES
Pedram Pad, Michael Unser, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
SPTM-P1.6: MULTIPLIERLESS LIFTING BASED FFT VIA FAST HARTLEY TRANSFORM
Taizo Suzuki, University of Tsukuba, Japan; Seisuke Kyochi, The University of Kitakyushu, Japan; Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan; Masaaki Ikehara, Keio University, Japan; Hirotomo Aso, Nihon University, Japan
SPTM-P1.7: EVEN MIRROR FOURIER NONLINEAR FILTERS
Alberto Carini, University of Urbino, Italy; Giovanni L. Sicuranza, University of Trieste, Italy
SPTM-P1.8: IIR PHASOR BANKS: CAUSAL, DELAY-FREE, NUMERICALLY ROBUST, CUSTOMIZABLE, UNIFORM-DFT-LIKE PERFECT RECONSTRUCTION FILTER BANKS
Paraskevas Argyropoulos, Hanoch Lev-Ari, Northeastern University, United States; Aleksandar Stankovic, Tufts University, United States
SPTM-P1.9: 2D ORTHOGONAL SYMMETRIC WAVELET FILTERS USING ALLPASS FILTERS
Xi Zhang, University of Electro-Communications, Japan
SPTM-P1.10: ON THE DESIGN OF ORTHONORMAL WAVELETS FOR FINITE-LENGTH SIGNALS
Mohamed Mansour, Texas Instruments Inc., United States
SPTM-P1.11: A VARIATION OF EMPIRICAL MODE DECOMPOSITION WITH INTELLIGENT PEAK SELECTION IN SHORT TIME WINDOWS
Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan, Ryerson University, Canada
SPTM-P1.12: LATTICE STRUCTURES FOR 2-D NON-SEPARABLE OVERSAMPLED LAPPED TRANSFORMS
Shogo Muramatsu, Natsuki Aizawa, Niigata University, Japan
SPTM-P1.13: SPARSE FAST FOURIER TRANSFORM BY DOWNSAMPLING
Sung-Hsien Hsieh, Chun-Shien Lu, Academia Sinica, Taiwan; Soo-Chang Pei, National Taiwan Unidersity, Taiwan
SPTM-P1.14: RELATIONSHIP BETWEEN DCT-II, DCT-VI, AND DST-VII TRANSFORMS
Yuriy Reznik, InterDigital Communications, LLC, United States
SPTM-P2.1: NORMALIZED CORRELATION-NEWTON ALGORITHM WITH VARIABLE CONTROL OF Q-NORM
Shin'ichi Koike, Consultant, Japan
SPTM-P2.2: STATISTICAL-MECHANICAL ANALYSIS OF THE FXLMS ALGORITHM WITH NONWHITE REFERENCE SIGNALS
Seiji Miyoshi, Yoshinobu Kajikawa, Kansai University, Japan
SPTM-P2.3: CONVERGENCE AND TRACKING ANALYSIS OF THE ϵ-NSRLMF ALGORITHM
Mohammed Mujahid Ulla Faiz, Azzedine Zerguine, KFUPM, Saudi Arabia
SPTM-P2.4: ESTIMATION OF NONSTATIONARY HARMONIC SIGNALS AND ITS APPLICATION TO ACTIVE CONTROL OF MRI NOISE
Maciej Niedzwiecki, Michal Meller, Gdansk University of Technology, Poland; Yoshinobu Kajikawa, Kansai University, Japan; Dawid Lukwinski, Gdansk University of Technology, Poland
SPTM-P2.5: AFFINE PROJECTION ALGORITHMS FOR SPARSE SYSTEM IDENTIFICATION
Markus Lima, Wallace Martins, Paulo Diniz, Federal University of Rio de Janeiro, Brazil
SPTM-P2.6: A LOW-COST IMPLEMENTATION STRATEGY FOR COMBINATIONS OF ADAPTIVE FILTERS
Vitor Nascimento, Magno Silva, University of São Paulo, Brazil; Jerónimo Arenas-García, Universidad Carlos III de Madrid, Spain
SPTM-P2.7: INCREMENTAL COMBINATION OF RLS AND LMS ADAPTIVE FILTERS IN NONSTATIONARY SCENARIOS
Wilder Lopes, Cassio Lopes, University of São Paulo, Brazil
SPTM-P2.8: RANK MINIMIZATION FOR SUBSPACE TRACKING FROM INCOMPLETE DATA
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis, University of Minnesota, United States
SPTM-P2.9: ONLINE ROBUST PORTFOLIO RISK MANAGEMENT USING TOTAL LEAST-SQUARES AND PARALLEL SPLITTING ALGORITHMS
Konstantinos Slavakis, University of Minnesota, United States; Geert Leus, Delft University of Technology, Netherlands; Georgios B. Giannakis, University of Minnesota, United States
SPTM-P2.10: ON THE ROBUSTNESS OF LMS ALGORITHMS WITH TIME-VARIANT DIAGONAL MATRIX STEP-SIZE
Robert Dallinger, Markus Rupp, Vienna University of Technology, Austria
SPTM-P2.11: TOTAL VARIATION DENOISING WITH OVERLAPPING GROUP SPARSITY
Ivan Selesnick, Po-Yu Chen, Polytechnic Institute of New York University, United States
SPTM-P2.12: A NOVEL METHOD TO DERIVE EXPLICIT KLT KERNEL FOR AR(1) PROCESS
Mustafa U. Torun, Ali N. Akansu, New Jersey Institute of Technology, United States
SPTM-P2.13: A K-BEST ORTHOGONAL MATCHING PURSUIT FOR COMPRESSIVE SENSING
Pu-Hsuan Lin, Shang-Ho Tsai, Chiao Tung University, Taiwan; Gene C.H. Chuang, Industrial Technology Research Institute, Taiwan
SPTM-P2.14: BEHAVIOR OF GREEDY SPARSE REPRESENTATION ALGORITHMS ON NESTED SUPPORTS
Boris Mailhé, Queen Mary University of London, United Kingdom; Bob Sturm, Aalborg University Copenhagen, Denmark; Mark D. Plumbley, Queen Mary University of London, United Kingdom
SPTM-P3.1: KALMAN-LIKE STATE TRACKING AND CONTROL IN POMDPS WITH APPLICATIONS TO BODY SENSING NETWORKS
Daphney-Stavroula Zois, Marco Levorato, Urbashi Mitra, University of Southern California, United States
SPTM-P3.2: ADAPTIVE SPECTRUM SENSING AND ESTIMATION
Dennis Wei, Alfred Hero, University of Michigan, United States
SPTM-P3.3: LINEARLY RECONFIGURABLE KALMAN FILTERING FOR A VECTOR PROCESS
Feng Jiang, Jie Chen, A. Lee Swindlehurst, University of California, Irvine, United States
SPTM-P3.4: THE GENERALIZED SLIDING-WINDOW RECURSIVE LEAST-SQUARES LATTICE FILTER
Hugo M. Spinelli, Ricardo Merched, Universidade Federal do Rio de Janeiro, Brazil
SPTM-P3.5: KERNEL LMS ALGORITHM WITH FORWARD-BACKWARD SPLITTING FOR DICTIONARY LEARNING
Wei Gao, Université de Nice-Sophia Antipolis, France; Jie Chen, University of Nice Sophia-Antipolis, France; Cédric Richard, Université de Nice-Sophia Antipolis, France; Jianguo Huang, Northwestern Polytechnical University, China; Rémi Flamary, Université de Nice-Sophia Antipolis, France
SPTM-P3.6: SPARSE VOLTERRA SYSTEMS: THEORY AND PRACTICE
Andrew Bolstad, Benjamin Miller, Massachusetts Institute of Technology, Lincoln Laboratory, United States
SPTM-P3.7: EVALUATING THE POTENTIAL OF VOLTERRA-PARAFAC IIR MODELS
Phillip Mark Seymour Burt, José Henrique de Morais Goulart, University of São Paulo, Brazil
SPTM-P3.8: PARSIMONIOUS MULTIVARIATE COPULA MODEL FOR DENSITY ESTIMATION
Alireza Bayestehtashk, Izhak Shafran, Oregon Health & Science University, United States
SPTM-P3.9: BAYESIAN NONPARAMETRIC STATE AND IMPULSIVE MEASUREMENT NOISE DENSITY ESTIMATION IN NONLINEAR DYNAMIC SYSTEMS
Nouha Jaoua, Emmanuel Duflos, Philippe Vanheeghe, Ecole Centrale de Lille, France; François Septier, Telecom Lille 1, France
SPTM-P3.10: A SIMPLE OPTIMUM NONLINEAR FILTER FOR STOCHASTIC-RESONANCE-BASED SIGNAL DETECTION
Yukihiro Tadokoro, Akihisa Ichiki, Toyota Central R&D Lab., Inc., Japan
SPTM-P3.11: POWER ALLOCATION FOR GAUSSIAN MIXTURE MODEL PRIOR KNOWLEDGE IN WIRLESS SENSOR NETWORKS
Zeeshan Azmat, Hoang Tuan, University of Technology, Sydney, Australia
SPTM-P3.12: A STUDENT'S T FILTER FOR HEAVY TAILED PROCESS AND MEASUREMENT NOISE
Michael Roth, Emre Ozkan, Fredrik Gustafsson, Linköping University, Sweden
SPTM-P3.13: NON-PARAMETRIC DATA PREDISTORTION FOR NON-LINEAR CHANNELS WITH MEMORY
Roberto Piazza, Bhavani Shankar Mysore Rama Rao, Bj?rn Ottersten, University of Luxembourg, Luxembourg
SPTM-P3.14: INTRODUCING THE FAST NONLINEAR FOURIER TRANSFORM
Sander Wahls, H. Vincent Poor, Princeton University, United States
SPTM-P4.1: TRANSFORM CODER IDENTIFICATION
Marco Tagliasacchi, Politecnico di Milano, Italy; Marco Visentini Scarzanella, Pier Luigi Dragotti, Imperial College London, United Kingdom; Stefano Tubaro, Politecnico di Milano, Italy
SPTM-P4.2: FILTERING OF SUBTRACTIVE DISCRETE DITHER IN QUANTIZERS: SOME NEW RESULTS
Abhishek Ghosh, Sudhakar Pamarti, University of California, Los Angeles, United States
SPTM-P4.3: TURBO QUANTIZATION OF FRAMES
Mohamed Mansour, Texas Instruments Inc., United States
SPTM-P4.4: QUANTIZATION-LOSS REDUCTION FOR SIGNAL PARAMETER ESTIMATION
Manuel Stein, Friederike Wendler, Amine Mezghani, Josef A. Nossek, Technische Universität München, Germany
SPTM-P4.5: EMBEDDED VORONOI CODES FOR SUCCESSIVE REFINEMENT LATTICE VECTOR QUANTIZATION
Guillaume Fuchs, Fraunhofer Institut Integrierte Schaltungen, Germany
SPTM-P4.6: ANALYSIS-BY-SYNTHESIS-BASED QUANTIZATION OF COMPRESSED SENSING MEASUREMENTS
Amirpasha Shirazinia, Saikat Chatterjee, Mikael Skoglund, KTH Royal Institute of Technology, Sweden
SPTM-P4.7: ESTIMATION OF BANDLIMITED SIGNALS FROM THE SIGNS OF NOISY SAMPLES
Animesh Kumar, Indian Institute of Technology Bombay, India; Vinod Prabhakaran, Tata Institute of Fundamental Research, Bombay, India
SPTM-P4.8: IRREGULARLY SAMPLED SEISMIC DATA INTERPOLATION USING ITERATIVE HALF THRESHOLDING REGULARIZATION
Pengliang Yang, Jinghuai Gao, Wenchao Chen, Xi'an Jiaotong University, China
SPTM-P4.9: GRADED QUANTIZATION: DEMOCRACY FOR MULTIPLE DESCRIPTIONS IN COMPRESSED SENSING
Diego Valsesia, Giulio Coluccia, Enrico Magli, Politecnico di Torino, Italy
SPTM-P4.10: A GRADIENT-LIKE VARIATIONAL BAYESIAN APPROACH FOR JOINT IMAGE SUPER-RESOLUTION AND SOURCE SEPARATION, APPLICATION TO ASTROPHYSICAL MAP-MAKING
Hacheme Ayasso, Université Joseph Fourier/GIPSA-LAB, France; Thomas Rodet, Université Paris-Sud (XI), France; Alain Abergel, Karin Dassas, Institut d'astrophysique spatiale (IAS), France
SPTM-P4.11: ALGEBRAIC PHASE UNWRAPPING FOR FUNCTIONAL DATA ANALYTIC ESTIMATIONS --- EXTENSIONS AND STABILIZATIONS
Daichi Kitahara, Isao Yamada, Tokyo Institute of Technology, Japan
SPTM-P4.12: STATISTICAL ANALYSIS OF THE JOINTLY-OPTIMIZED ACOUSTIC ECHO CANCELLATION BF-AEC STRUCTURE
Marcos Maruo, José Carlos Moreira Bermudez, Leonardo Resende, Federal University of Santa Catarina, Brazil
SPTM-P4.13: BAYESIAN AND CRAMER-RAO BOUNDS FOR SINGLE SENSOR TARGET LOCALIZATION VIA MULTIPATH EXPLOITATION
Pawan Setlur, Natasha Devroye, University of Illinois at Chicago, United States
SPTM-P4.14: DISTRIBUTED PRINCIPAL COMPONENTS ANALYSIS IN SENSOR NETWORKS
Abiodun Aduroja, Ioannis Schizas, The University of Texas at Arlington, United States; Vasileios Maroulas, University of Tennessee at Knoxville, United States
SPTM-P5.1: DICTIONARY LEARNING FOR SPARSE DECOMPOSITION: A NEW CRITERION AND ALGORITHM
Zahra Sadeghipoor, Massoud Babaie-Zadeh, Sharif University of Technology, Iran; Christian Jutten, Institut Universitaire de France, France
SPTM-P5.2: FUSION OF ALGORITHMS FOR COMPRESSED SENSING
Sooraj K. Ambat, Indian Institute of Science, India; Saikat Chatterjee, KTH Royal Institute of Technology, Sweden; K.V.S. Hari, Indian Institute of Science, India
SPTM-P5.3: WEIGHTED-DAMPED APPROXIMATE MESSAGE PASSING FOR COMPRESSED SENSING
Shengchu Wang, Yunzhou Li, Zhen Gao, Jing Wang, Tsinghua University, China
SPTM-P5.4: A MIXED INTEGER LINEAR PROGRAMMING FORMULATION FOR THE SPARSE RECOVERY PROBLEM IN COMPRESSED SENSING
N. Burak Karahanoglu, TÜBITAK-BILGEM, Turkey; Hakan Erdogan, S. Ilker Birbil, Sabanci University, Turkey
SPTM-P5.5: FROM LEAST SQUARES TO SPARSE: A NON-CONVEX APPROACH WITH GUARANTEE
Laming Chen, Yuantao Gu, Tsinghua University, China
SPTM-P5.6: CORRELATION-AWARE SPARSE SUPPORT RECOVERY: GAUSSIAN SOURCES
Piya Pal, P. P. Vaidyanathan, California Institute of Technology, United States
SPTM-P5.7: A GREEDY FORWARD-BACKWARD ALGORITHM FOR ATOMIC NORM CONSTRAINED MINIMIZATION
Nikhil Rao, Parikshit Shah, Stephen Wright, Robert Nowak, University of Wisconsin, United States
SPTM-P5.8: ON FINITE ALPHABET COMPRESSIVE SENSING
Abhik Das, Sriram Vishwanath, The University of Texas at Austin, United States
SPTM-P5.9: OPTIMAL DETERMINISTIC COMPRESSED SENSING MATRICES
Arash Saber Tehrani, Alexandros Dimakis, Giuseppe Caire, University of Southern California, United States
SPTM-P5.10: JOINT RECOVERY OF SPARSE SIGNALS AND PARAMETER PERTURBATIONS WITH PARAMETERIZED MEASUREMENT MODELS
Erik Johnson, Douglas Jones, University of Illinois, United States
SPTM-P5.11: SEPARATING SPARSE AND LOW-DIMENSIONAL SIGNAL SEQUENCES FROM TIME-VARYING UNDERSAMPLED PROJECTIONS OF THEIR SUMS
Jinchun Zhan, Namrata Vaswani, Iowa State University, United States; Ian Atkinson, University of Illinois at Chicago, United States
SPTM-P5.12: REVERSE ENGINEERING OF SIGNAL ACQUISITION CHAINS USING THE THEORY OF SAMPLING SIGNALS WITH FINITE RATE OF INNOVATION
Thirapiroon Thongkamwitoon, Hani Muammar, Pier Luigi Dragotti, Imperial College London, United Kingdom
SPTM-P5.13: A ONE-BIT REWEIGHTED ITERATIVE ALGORITHM FOR SPARSE SIGNAL RECOVERY
Yanning Shen, Jun Fang, University of Electronic Science and Technology of China, China; Hongbin Li, Stevens Institute of Technology, United States; Zhi Chen, University of Electronic Science and Technology of China, China
SPTM-P5.14: BEAMFORMERS FOR SPARSE RECOVERY
Martin Sundin, Dennis Sundman, Magnus Jansson, KTH Royal Institute of Technology, Sweden
SPTM-P6.1: AUTOCALIBRATED SIGNAL RECONSTRUCTION FROM LINEAR MEASUREMENTS USING ADAPTIVE GAMP
Ulugbek Kamilov, Aurelien Bourquard, Emrah Bostan, Michael Unser, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
SPTM-P6.2: POISSON IMAGE RESTORATION WITH LIKELIHOOD CONSTRAINT VIA HYBRID STEEPEST DESCENT METHOD
Shunsuke Ono, Isao Yamada, Tokyo Institute of Technology, Japan
SPTM-P6.3: MITIGATION OF CLIPPING IN SENSORS
Shang Kee Ting, Ali H. Sayed, University of California, Los Angeles, United States
SPTM-P6.4: CONSISTENT ITERATIVE HARD THRESHOLDING FOR SIGNAL DECLIPPING
Srdan Kitic, Laurent Jacques, Université Catholique de Louvain, France; Nilesh Madhu, Michael Peter Hopwood, Ann Spriet, NXP semiconductors, Belgium; Christophe De Vleeschouwer, Université Catholique de Louvain, Belgium
SPTM-P6.5: SIMULTANEOUS POLYNOMIAL APPROXIMATION AND TOTAL VARIATION DENOISING
Ivan Selesnick, Polytechnic Institute of New York University, United States
SPTM-P6.6: RENOVATION OF ARCHIVE AUDIO RECORDINGS USING SPARSE AUTOREGRESSIVE MODELING AND BIDIRECTIONAL PROCESSING
Maciej Niedzwiecki, Marcin Ciolek, Gdansk University of Technology, Poland
SPTM-P6.7: RECURSIVE ROBUST PCA OR RECURSIVE SPARSE RECOVERY IN LARGE BUT STRUCTURED NOISE
Chenlu Qiu, Namrata Vaswani, Leslie Hogben, Iowa State University, United States
SPTM-P6.8: HOW GOOD IS YOUR SUPER-RESOLUTION IMAGE? QUALITY ASSURANCE IN IMAGE RECONSTRUCTION USING THE BOOTSTRAP
Christian Debes, AGT International, Germany; Christian Weiss, Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SPTM-P6.9: A FURTHER IMPROVEMENT OF A FAST DAMPED GAUSS-NEWTON ALGORITHM FOR CANDECOMP-PARAFAC TENSOR DECOMPOSITION
Petr Tichavsky, Institute of Information Theory and Automation, Czech Republic; Anh-Huy Phan, Brain Science Institute, RIKEN, Japan; Andrzej Cichocki, RIKEN Brain Science Institute, Japan
SPTM-P6.10: SEQUENTIAL FOCUS EVALUATION OF SYNTHETIC APERTURE SONAR IMAGES
Stefan Leier, Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany; Johannes Groen, ATLAS ELEKTRONIK GmbH, Germany
SPTM-P6.11: RECONSTRUCTION OF INTEGERS FROM PAIRWISE DISTANCES
Kishore Jaganathan, Babak Hassibi, California Institute of Technology, United States
SPTM-P6.12: LEARNING PHASE-INVARIANT DICTIONARIES
Graeme Pope, Céline Aubel, ETH Zurich, Switzerland; Christoph Studer, Rice University, United States
SPTM-P6.13: A PROXIMAL APPROACH FOR OPTIMIZATION PROBLEMS INVOLVING KULLBACK DIVERGENCES
Mireille El Gheche, Jean-Christophe Pesquet, Université Paris-Est, France; Joumana Farah, Holy-Spirit University of Kaslik, Lebanon
SPTM-P6.14: INFERENCE OF POISSON COUNT PROCESSES USING LOW-RANK TENSOR DATA
Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis, University of Minnesota, United States
SPTM-P7.1: A VARIATIONAL BAYESIAN APPROACH TO COMPRESSIVE SENSING BASED ON DOUBLE LOMAX PRIORS
Xiaojing Gu, East China University of Science and Technology, China; Henry Leung, University of Calgary, Canada; Xingsheng Gu, East China University of Science and Technology, China
SPTM-P7.2: COMPRESSIVE SCHLIEREN DEFLECTOMETRY
Prasad Sudhakar, Laurent Jacques, Université Catholique de Louvain, Belgium; Xavier Dubois, Philippe Antoine, Luc Joannes, Lambda-X, Belgium
SPTM-P7.3: COMPRESSIVE SENSING BASED SPECULAR MULTIPATH EXPLOITATION FOR THROUGH-THE-WALL RADAR IMAGING
Michael Leigsnering, Technische Universität Darmstadt, Germany; Fauzia Ahmad, Moeness G. Amin, Villanova University, Germany; Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SPTM-P7.4: A NONCONVEX ADMM ALGORITHM FOR GROUP SPARSITY WITH SPARSE GROUPS
Rick Chartrand, Brendt Wohlberg, Los Alamos National Laboratory, United States
SPTM-P7.5: RECOVERY OF NONUNIFORM DIRAC PULSES FROM NOISY LINEAR MEASUREMENTS
Laurent Condat, GIPSA-Lab, France; Akira Hirabayashi, Yosuke Hironaga, Yamaguchi University, Japan
SPTM-P7.6: SURPASSING THE THEORETICAL 1-NORM PHASE TRANSITION IN COMPRESSIVE SENSING BY TUNING THE SMOOTHED L0 ALGORITHM
Christian Schou Oxvig, Patrick Steffen Pedersen, Thomas Arildsen, Torben Larsen, Aalborg University, Denmark
SPTM-P7.7: COMPRESSIVE GAUSSIAN MIXTURE ESTIMATION
Anthony Bourrier, Technicolor, France; Rémi Gribonval, INRIA Rennes Bretagne Atlantique, France; Patrick Pérez, Technicolor, France
SPTM-P7.8: A SPARSE SYSTEM IDENTIFICATION BY USING ADAPTIVELY-WEIGHTED TOTAL VARIATION VIA A PRIMAL-DUAL SPLITTING APPROACH
Shunsuke Ono, Masao Yamagishi, Isao Yamada, Tokyo Institute of Technology, Japan
SPTM-P7.9: COMPRESSIVE SHIFT RETRIEVAL
Henrik Ohlsson, University of California, Berkeley, United States; Yonina C. Eldar, Technion - Israel Institute of Technology, Israel; Allen Y. Yang, Shankar S. Sastry, University of California, Berkeley, United States
SPTM-P7.10: SUBSPACE PENALIZED SPARSE LEARNING FOR JOINT SPARSE RECOVERY
Jong Chul Ye, Jong Min Kim, Korea Advanced Institute of Science and Technology, Republic of Korea; Yoram Bresler, University of Illinois, United States
SPTM-P7.11: FRAMES FROM GROUPS: GENERALIZED BOUNDS AND DIHEDRAL GROUPS
Matthew Thill, Babak Hassibi, California Institute of Technology, United States
SPTM-P7.12: GOLAY SEQUENCE FOR PARITAL FOURIER AND HADAMARD COMPRESSIVE IMAGING
Lu Gan, Brunel University, United Kingdom; Lin Liu, Yao-Chun Shen, University of Liverpool, United Kingdom
SPTM-P7.13: SAMPLING AND RECONSTRUCTION IN SPARSE ATOMIC SPACES
Volker Pohl, Ezra Tampubolon, Holger Boche, Technische Universität München, Germany
SPTM-P7.14: SAMPLING AND RECOVERY OF CONTINUOUS SPARSE SIGNALS BY MAXIMUM LIKELIHOOD ESTIMATION
Akira Hirabayashi, Yosuke Hironaga, Yamaguchi University, Japan; Laurent Condat, Grenoble Institute of Technology, France
SPTM-P8.1: THE DIRECT BATCH GENERATION OF HERMITE-GAUSSIAN-LIKE EIGENVECTORS OF THE DFT MATRIX USING THE NOTION OF MATRIX PSEUDOINVERSE
Magdy Hanna, Fayoum University, Egypt
SPTM-P8.2: ON EXACT LQ DENOISING
Goran Marjanovic, Victor Solo, The University of New South Wales, Australia
SPTM-P8.3: AN EFFICIENT METHOD FOR FINDING INTERSECTIONS OF MANY MANIFOLDS WITH APPLICATION TO PATCH BASED IMAGE PROCESSING
Yevgen Matviychuk, Shannon M. Hughes, University of Colorado at Boulder, United States
SPTM-P8.4: A SPARSE OPTIMIZATION APPROACH TO SUPERVISED NMF BASED ON CONVEX ANALYTIC METHOD
Yu Morikawa, Masahiro Yukawa, Niigata University, Japan
SPTM-P8.5: GENERALIZED NORMAL WINDOW FOR DIGITAL SIGNAL PROCESSING
Debejyo Chakraborty, General Motors Company, United States; Narayan Kovvali, Arizona State University, United States
SPTM-P8.6: INDEPENDENT VECTOR ANALYSIS WITH A MULTIVARIATE GENERALIZED GAUSSIAN SOURCE PRIOR FOR FREQUENCY DOMAIN BLIND SOURCE SEPARATION
Yanfeng Liang, Syed Mohsen Naqvi, Jonathon A. Chambers, Loughborough University, United Kingdom
SPTM-P8.7: MULTI-STAGE DIGITAL PREDISTORTION BASED ON INDIRECT LEARNING ARCHITECTURE
Mazen Abi Hussein, Vivek Ashok Bohara, Olivier Venard, ESIEE Paris, France
SPTM-P8.8: HAWKES-LAGUERRE REDUCED RANK MODEL FOR POINT PROCESSES
Syed Ahmed Pasha, The University of Sydney, Australia; Victor Solo, The University of New South Wales, Australia
SPTM-P8.9: AN INTEGRAL OPERATOR BASED ADAPTIVE SIGNAL SEPARATION APPROACH
Xiyuan Hu, Silong Peng, Chinese Academy of Sciences, China; Wen-Liang Hwang, Academia Sinica, Taiwan
SPTM-P8.10: A FUNDAMENTAL PITFALL IN BLIND DECONVOLUTION WITH SPARSE AND SHIFT-INVARIANT PRIORS
Alexis Benichoux, Université Rennes 1, France; Emmanuel Vincent, Rémi Gribonval, INRIA, France
SPTM-P8.11: A GREEDY ALGORITHM FOR MODEL SELECTION OF TENSOR DECOMPOSITIONS
Austin J. Brockmeier, Jose C. Principe, University of Florida, United States; Anh-Huy Phan, Brain Science Institute, RIKEN, Japan; Andrzej Cichocki, RIKEN Brain Science Institute, Japan
SPTM-P8.12: CROSS-PRODUCTS LASSO
David Luengo, Universidad Politécnica de Madrid, Spain; Javier Vía, Universidad de Cantabria, Spain; Sandra Monzon, Universidad Carlos III de Madrid, Spain; Tom Trigano, Shamoon College of Engineering, Spain; Antonio Artes-Rodriguez, Universidad Carlos III de Madrid, Spain
SPTM-P8.13: APPROXIMATING THE TIME-FREQUENCY OUTPUT OF A DYNAMICAL SYSTEM FOR AN ARBITRARY NONSTATIONARY INPUT
Lorenzo Galleani, Politecnico di Torino, Italy
SPTM-P8.14: THE QUATERNION KERNEL LEAST SQUARES
Felipe A. Tobar, Danilo P. Mandic, Imperial College London, United Kingdom
SPTM-P9.1: A PROCEDURE FOR N-D FORNASINI-MARCHESINI STATE-SPACE MODEL REALIZATION BASED ON RIGHT MATRIX FRACTION DESCRIPTION
Shin-ya Matsushita, Tatsuya Saito, Li Xu, Akita Prefectural University, Japan
SPTM-P9.2: ANALYSIS AND REDUCTION OF ESTIMATION BIAS FOR AN ITERATIVE FREQUENCY ESTIMATOR OF COMPLEX SINUSOID
Jan-Ray Liao, Chun-Ming Chen, National Chung Hsing University, Taiwan
SPTM-P9.3: PREDICTION ERROR METHOD TO ESTIMATE THE AR PARAMETERS WHEN THE AR PROCESS IS DISTURBED BY A COLORED NOISE
Roberto Diversi, University of Bologna, Italy; Hiroshi Ijima, Wakayama University, Japan; Eric Grivel, Université de Bordeaux, France
SPTM-P9.4: FULLY ADAPTIVE GAUSSIAN MIXTURE METROPOLIS-HASTINGS ALGORITHM
David Luengo, Universidad Politécnica de Madrid, Spain; Luca Martino, Universidad Carlos III de Madrid, Spain
SPTM-P9.5: FAST EQUIVARIANT JADE
Jari Miettinen, University of Jyväskylä, Finland; Klaus Nordhausen, Hannu Oja, University of Tampere, Finland; Sara Taskinen, University of Jyväskylä, Finland
SPTM-P9.6: ESTIMATION OF HIGHWAY TRAFFIC FROM SPARSE SENSORS: STOCHASTIC MODELING AND PARTICLE FILTERING
Alessandra Pascale, Politecnico di Milano, Italy; Gabriel Gomes, University of California, Berkeley, United States; Monica Nicoli, Politecnico di Milano, Italy
SPTM-P9.7: DISCRETE SIGNAL PROCESSING ON GRAPHS: GRAPH FILTERS
Aliaksei Sandryhaila, José M.F. Moura, Carnegie Mellon University, United States
SPTM-P9.8: DISCRETE SIGNAL PROCESSING ON GRAPHS: GRAPH FOURIER TRANSFORM
Aliaksei Sandryhaila, José M.F. Moura, Carnegie Mellon University, United States
SPTM-P9.9: VARIATIONAL BAYESIAN EM ALGORITHM FOR MODELING MIXTURES OF NON-STATIONARY SIGNALS IN THE TIME-FREQUENCY DOMAIN (HR-NMF)
Roland Badeau, Angélique Drémeau, Télécom ParisTech, France
SPTM-P9.10: SPARSIFYING DEFAULTS: OPTIMAL BAILOUT POLICIES FOR FINANCIAL NETWORKS IN DISTRESS
Zhang Li, Ilya Pollak, Purdue University, United States
SPTM-P9.11: AN ALGEBRAIC REAL TRANSLATION OF HYPERCOMPLEX LINEAR SYSTEMS AND ITS APPLICATION TO ADAPTIVE FILTERING
Takehiko Mizoguchi, Isao Yamada, Tokyo Institute of Technology, Japan
SPTM-P9.12: AN OPERATOR-BASED AND SPARSITY-BASED APPROACH TO ADAPTIVE SIGNAL SEPARATION
Xiaolei Yi, Xiyuan Hu, Silong Peng, Chinese Academy of Sciences, China
SPTM-P9.13: EEG-FMRI INTEGRATION USING A PARTIALLY CONSTRAINED TENSOR FACTORIZATION
Saideh Ferdowsi, University of Surrey, United Kingdom; Vahid Abolghasemi, Shahrood University of Technology, Iran; Saeid Sanei, University of Surrey, United Kingdom
SPTM-P9.14: SUCCESSIVE-MFCW MODULATION FOR ULTRA-FAST NARROWBAND RADAR
Nicolo Testi, Yang Xu, Illinois Institute of Technology, United States; Yuanwei Jin, University of Maryland, Eastern Shore, United States
SPTM-P10.1: SPECTRAL ESTIMATION OF PHASE NOISE BASED ON COMPLEMENTARY AUTOCORRELATION
Koji Harada, Agilent Technologies, Japan
SPTM-P10.2: TIME-UPDATING IAA-BASED SPECTRAL ESTIMATES WITH MISSING SAMPLES USING DATA INTERPOLATION
George-Othon Glentis, University of Peloponnese, Greece; Andreas Jakobsson, Lund University, Sweden; Kostas Angelopoulos, University of Peloponnese, Greece
SPTM-P10.3: SUBSPACE-BASED ESTIMATION OF SYMBOLIC PERIODICITIES
Johan Swärd, Andreas Jakobsson, Lund University, Sweden
SPTM-P10.4: FAST MISSING-DATA IAA BY LOW RANK COMPLETION
Johan Karlsson, William Rowe, Xu Luzhou, University of Florida, United States; George-Othon Glentis, University of Peloponnese, Greece; Jian Li, University of Florida, United States
SPTM-P10.5: ESTIMATING MULTIPLE PITCHES USING BLOCK SPARSITY
Stefan Ingi Adalbjörnsson, Andreas Jakobsson, Lund University, Sweden; Mads Græsbøll Christensen, Aalborg University, Denmark
SPTM-P10.6: SPECTRAL COMPRESSIVE SENSING WITH POLAR INTERPOLATION
Karsten Fyhn, Aalborg University, Denmark; Hamid Dadkhahi, Marco Duarte, University of Massachusetts, United States
SPTM-P10.7: SPECTRAL ESTIMATION WITH THE HIRSCHMAN OPTIMAL TRANSFORM FILTER BANK AND COMPRESSIVE SENSING
Guifeng Liu, Victor DeBrunner, Florida State University, United States
SPTM-P10.8: POWER-CCA: MAXIMIZING THE CORRELATION COEFFICIENT BETWEEN THE POWER OF PROJECTIONS
David Ramírez, Peter J. Schreier, University of Paderborn, Germany; Javier Vía, University of Cantabria, Spain; Vadim V. Nikulin, University Medicine Berlin, Germany
SPTM-P10.9: AN ONLINE APPROACH FOR INTRACRANIAL PRESSURE FORECASTING BASED ON SIGNAL DECOMPOSITION AND ROBUST STATISTICS
Bin Han, Karlsruhe Institut für Technologie, Germany; Michael Muma, Technische Universität Darmstadt, Germany; Mengling Feng, Massachusetts Institute of Technology, Germany; Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SPTM-P10.10: PARAMETER ESTIMATION AND WAVEFORM DESIGN FOR COGNITIVE RADAR BY MINIMAL FREE-ENERGY PRINCIPLE
Anish Turlapaty, Yuanwei Jin, University of Maryland, Eastern Shore, United States
SPTM-P10.11: ESTIMATING THE AUTOCORRELATION FUNCTION OF AN ARBITRARILY TIME-VARIANT SYSTEM RESPONSE
Lang Peng, Hanoch Lev-Ari, Northeastern University, United States
SPTM-P10.12: ENHANCING THE READABILITY OF THE WIGNER DISTRIBUTION BY EXPLOITING ITS CROSS-TERMS GEOMETRY
Tsz Kin Hon, Alberto de la Fuente González, Apostolos Georgakis, King's College London, United Kingdom
SPTM-P10.13: NON-PARAMETRIC DATA-DEPENDENT ESTIMATION OF SPECTROSCOPIC ECHO-TRAIN SIGNALS
Ted Kronvall, Johan Swärd, Andreas Jakobsson, Lund University, Sweden
SPTM-P10.14: HYPERSPECTRAL PERFORMANCE PREDICTION OF THE ADAPTIVE COSINE ESTIMATOR
Eric Truslow, Northeastern University, United States; Dimitris Manolakis, Michael Pieper, Massachusetts Institute of Technology, Lincoln Laboratory, United States; Thomas Cooley, Michael Brueggeman, Air Force Research Laboratory, United States
SPTM-P11.1: DISTRIBUTED PARTICLE FILTERING IN THE PRESENCE OF MUTUALLY CORRELATED SENSOR NOISES
Ondrej Hlinka, Franz Hlawatsch, Vienna University of Technology, Austria
SPTM-P11.2: AN EFFICIENT STOCHASTIC APPROXIMATION EM ALGORITHM USING CONDITIONAL PARTICLE FILTERS
Fredrik Lindsten, Linköping University, Sweden
SPTM-P11.3: ARCH AND GARCH PARAMETER ESTIMATION IN PRESENCE OF ADDITIVE NOISE USING PARTICLE METHODS
Saman Mousazadeh, Israel Cohen, Technion - Israel Institute of Technology, Israel
SPTM-P11.4: COPULA GAUSSIAN GRAPHICAL MODEL FOR DISCRETE DATA
Justin Dauwels, Hang Yu, Shiyan Xu, Xueou Wang, Nanyang Technological University, Singapore
SPTM-P11.5: RAO-BLACKWELLIZED PARTICLE SMOOTHERS FOR MIXED LINEAR/NONLINEAR STATE-SPACE MODELS
Fredrik Lindsten, Linköping University, Sweden; Pete Bunch, Simon J. Godsill, University of Cambridge, United Kingdom; Thomas B. Schön, Linköping University, Sweden
SPTM-P11.6: ADAPTIVE STOPPING FOR FAST PARTICLE SMOOTHING
Ehsan Taghavi, Chalmers University of Technology, Sweden; Fredrik Lindsten, Linköping University, Sweden; Lennart Svensson, Chalmers University of Technology, Sweden; Thomas B. Schön, Linköping University, Sweden
SPTM-P11.7: A MARGINALISED PARTICLE FILTER FOR BEARINGS-ONLY TRACKING
Mark Morelande, University of Melbourne, Australia
SPTM-P11.8: DATA DETECTION USING PARTICLE FILTERING IN RELAY-BASED COMMUNICATION SYSTEM WITH LAPLACE AR CHANNEL MODEL
Tadesse Ghirmai, University of Washington Bothell, United States
SPTM-P11.9: PARTICLE METROPOLIS HASTINGS USING LANGEVIN DYNAMICS
Johan Dahlin, Fredrik Lindsten, Thomas B. Schön, Linköping University, Sweden
SPTM-P11.10: BAYESIAN FILTERING WITH INTRACTABLE LIKELIHOOD USING SEQUENTIAL MCMC
François Septier, Institut Mines-Telecom / Telecom Lille1 / LAGIS UMR CNRS 8219, France; Gareth W. Peters, University College London, United Kingdom; Ido Nevat, Wireless & Networking Tech. Lab, CSIRO, Australia
SPTM-P11.11: A POPULATION MONTE CARLO SCHEME FOR COMPUTATIONAL INFERENCE IN HIGH DIMENSIONAL SPACES
Eugenia Koblents, Joaquín Míguez, Universidad Carlos III de Madrid, Spain
SPTM-P11.12: A NEW MINIMUM-CONSENSUS DISTRIBUTED PARTICLE FILTER FOR BLIND EQUALIZATION IN RECEIVER NETWORKS
Claudio Bordin, Universidade Federal do ABC (UFABC), Brazil; Marcelo Bruno, Instituto Tecnológico de Aeronáutica, Brazil
SPTM-P11.13: FULL ORDER NONLINEAR DISTRIBUTED ESTIMATION IN INTERMITTENTLY CONNECTED NETWORKS
Arash Mohammadi, Amir Asif, York University, Canada
SPTM-P11.14: MCMC PARTICLE FILTER FOR TRACKING IN A PARTIALLY KNOWN MULTIPATH ENVIRONMENT
Bentarage Sachintha Karunaratne, Mark Morelande, Bill Moran, The University of Melbourne, Australia
SPTM-P12.1: STATISTICAL RANKING OF SENSOR OBSERVATIONS FOR CENTRALIZED DETECTION WITH DISTRIBUTED SENSORS
Eric Ayeh, Kamesh Namuduri, Xinrong Li, University of North Texas, United States
SPTM-P12.2: EMPIRICAL LIKELIHOOD RATIO TEST WITH DENSITY FUNCTION RESTRICTIONS
Yingxi Liu, Ahmed Tewfik, The University of Texas at Austin, United States
SPTM-P12.3: RANDOM DISTORTION TESTING AND APPLICATIONS
Dominique Pastor, Quang-Thang Nguyen, Institut Telecom; Telecom Bretagne; UMR CNRS 6285 Lab-STICC; Université européenne de Bretagne, France
SPTM-P12.4: BOOTSTRAP BASED SEQUENTIAL PROBABILITY RATIO TESTS
Fiky Y. Suratman, Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SPTM-P12.5: A NEW METHODOLOGY FOR OPTIMAL DELAY DETECTION IN MOBILE LOCALIZATION CONTEXT
Abdelouahab Boudjellal, Karim Abed-Meraim, Polytech' Orléans, France; Adel Belouchrani, Ecole Nationale Polytechnique, Algeria; Philipe Ravier, Polytech' Orléans, France
SPTM-P12.6: BAYESIAN MODEL COMPARISON AND THE BIC FOR REGRESSION MODELS
Jesper Kjær Nielsen, Mads Græsbøll Christensen, Søren Holdt Jensen, Aalborg University, Denmark
SPTM-P12.7: VOICE ACTIVITY DETECTION BASED ON A STATISTICAL SEMIPARAMETRIC TEST
Asmaa Amehraye, EURECOM, France; Lionel Fillatre, Université de Nice-Sophia Antipolis, France; Nicholas Evans, EURECOM, France
SPTM-P12.8: NON-BAYESIAN QUICKEST DETECTION WITH A STOCHASTIC ENERGY CONSTRAINT
Jun Geng, Lifeng Lai, Worcester Polytechnic Institute, United States
SPTM-P12.9: DETECTING RANDOM WALKS HIDDEN IN NOISE: PHASE TRANSITION ON LARGE GRAPHS
Ameya Agaskar, Yue M. Lu, Harvard School of Engineering and Applied Sciences, United States
SPTM-P12.10: A TRACK-BEFORE-DETECT ALGORITHM FOR THE DETECTION OF A MARKOV TARGET IN THE PRESENCE OF MISSING OBSERVATIONS
Emanuele Grossi, Marco Lops, Luca Venturino, Universita' degli Studi di Cassino e del Lazio Meridionale, Italy
SPTM-P12.11: PARTICLE PHD FORWARD FILTER-BACKWARD SIMULATOR FOR TARGETS IN CLOSE PROXIMITY
Ramona Georgescu, Peter Willett, University of Connecticut, United States; Lennart Svensson, Chalmers University of Technology, Sweden
SPTM-P12.12: AN INTERACTIVE MULTIPLE MODEL APPROACH FOR ROBUST GNSS CARRIER PHASE TRACKING UNDER SCINTILLATION CONDITIONS
Jordi Vilà-Valls, Jose A. López-Salcedo, Gonzalo Seco-Granados, Universitat Autònoma de Barcelona, Spain
SPTM-P12.13: POUTINE: A CORRELATION ESTIMATOR FOR ERGODIC STATIONARY SIGNALS
Han Lun Yap, Aurele Balavoine, William Mantzel, Ning Tian, Darryl Sale, Alireza Aghasi, Justin K. Romberg, Georgia Institute of Technology, United States
SPTM-P12.14: “WOW!” BAYESIAN SURPRISE FOR SALIENT ACOUSTIC EVENT DETECTION
Boris Schauerte, Rainer Stiefelhagen, Karlsruhe Institute of Technology (KIT), Germany
SPTM-P13.1: MAXIMUM ENTROPY ESTIMATION OF THE PROBABILITY DENSITY FUNCTION FROM THE HISTOGRAM USING ORDER STATISTIC CONSTRAINTS
R. Lynn Kirlin, University of Victoria, United States; Ali M. Reza, U.S. Coast Guard Academy, United States
SPTM-P13.2: BAYESIAN RECURSIVE ESTIMATION ON THE ROTATION GROUP
Sofia Suvorova, The University of Melbourne, Australia; Stephen D. Howard, Defence Science and Technology Organization, Australia; Bill Moran, The University of Melbourne, Australia
SPTM-P13.3: TW-TOA BASED COOPERATIVE SENSOR NETWORK LOCALIZATION WITH UNKNOWN TURN-AROUND TIME
Pinar Oguz-Ekim, Joao Gomes, Paulo Oliveira, Technical University of Lisbon, Portugal; Mohammad Reza Gholami, Erik G. Ström, Chalmers University of Technology, Sweden
SPTM-P13.4: MAXIMUM LIKELIHOOD ESTIMATION UNDER PARTIAL SPARSITY CONSTRAINTS
Tirza Routtenberg, Cornell University, United States; Yonina C. Eldar, Technion - Israel Institute of Technology, Israel; Lang Tong, Cornell University, United States
SPTM-P13.5: AN ACHIEVABLE MEASUREMENT RATE-MSE TRADEOFF IN COMPRESSIVE SENSING THROUGH PARTIAL SUPPORT RECOVERY
Ricardo Blasco-Serrano, Dave Zachariah, Dennis Sundman, Ragnar Thobaben, Mikael Skoglund, KTH Royal Institute of Technology, Sweden
SPTM-P13.6: ONLINE EM FOR INDOOR SIMULTANEOUS LOCALIZATION AND MAPPING
Thierry Dumont, Université Paris-Sud (XI), France; Sylvain Le Corff, Warwick University, United Kingdom
SPTM-P13.7: ADJUSTABLE QUANTIZERS FOR JOINT ESTIMATION OF LOCATION AND SCALE PARAMETERS
Rodrigo Cabral Farias, Jean-Marc Brossier, Grenoble Images Parole Signal Automatique (GIPSA-lab), France
SPTM-P13.8: ASYMPTOTIC APPROXIMATION OF OPTIMAL QUANTIZERS FOR ESTIMATION
Rodrigo Cabral Farias, Jean-Marc Brossier, Grenoble Images Parole Signal Automatique (GIPSA-lab), France
SPTM-P13.9: ON DATA SPARSIFICATION AND A RECURSIVE ALGORITHM FOR ESTIMATING A KERNEL-BASED MEASURE OF INDEPENDENCE
Pierre-Olivier Amblard, University of Melbourne/CNRS, Australia; Jonathan H. Manton, University of Melbourne, Australia
SPTM-P13.10: DYNAMIC FILTERING OF SPARSE SIGNALS USING REWEIGHTED L1
Adam Charles, Christopher Rozell, Georgia Institute of Technology, United States
SPTM-P13.11: ITERATIVELY REWEIGHTED LEAST SQUARES FOR RECONSTRUCTION OF LOW-RANK MATRICES WITH LINEAR STRUCTURE
Dave Zachariah, Saikat Chatterjee, Magnus Jansson, KTH Royal Institute of Technology, Sweden
SPTM-P13.12: VON MISES-FISHER APPROXIMATION OF MULTIPLE SCATTERING PROCESS ON THE HYPERSPHERE
Florent Chatelain, Nicolas Le Bihan, GIPSA-Lab, France
SPTM-P13.13: MEMS-BASED INERTIAL NAVIGATION BASED ON A MAGNETIC FIELD MAP
Manon Kok, Niklas Wahlström, Thomas B. Schön, Fredrik Gustafsson, Linköping University, Sweden
SPTM-P13.14: RECEIVED SIGNAL STRENGTH-BASED JOINT PARAMETER ESTIMATION ALGORITHM FOR ROBUST GEOLOCATION IN LOS/NLOS ENVIRONMENTS
Feng Yin, Technische Universität Darmstadt, Germany; Carsten Fritsche, IFEN GmbH, Germany; Fredrik Gustafsson, Linköping University, Sweden; Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SPTM-P14.1: COVARIANCE MATRIX ESTIMATION IN COMPLEX ELLIPTIC DISTRIBUTIONS USING THE EXPECTED LIKELIHOOD APPROACH
Yuri Abramovich, W R Systems, Ltd., United States; Olivier Besson, University of Toulouse-ISAE, France
SPTM-P14.2: ANALYTICALLY-SELECTED MULTI-HYPOTHESIS INCREMENTAL MAP ESTIMATION
Guoquan Huang, Michael Kaess, John Leonard, Massachusetts Institute of Technology, United States; Stergios Roumeliotis, University of Minnesota, United States
SPTM-P14.3: ESTIMATION OF UNDERDETERMINED MIXING MATRIX WITH UNKNOWN NUMBER OF OVERLAPPED SOURCES IN SHORT-TIME FOURIER TRANSFORM DOMAIN
Haijian Zhang, Guoan Bi, Nanyang Technological University, Singapore; Sirajudeen Gulam Razul, Chong-Meng See, DSO National Laboratories, Singapore
SPTM-P14.4: FUSION OF QUANTIZED DATA FOR BAYESIAN ESTIMATION AIDED BY CONTROLLED NOISE
Yujiao Zheng, Syracuse University, United States; Ruixin Niu, Virginia Commonwealth University, United States; Pramod K. Varshney, Syracuse University, United States
SPTM-P14.5: PERFORMANCE ANALYSIS OF MINIMUM VARIANCE ASSET ALLOCATION WITH HIGH FREQUENCY DATA
Jian Yu, Hong Kong University of Science and Technology, Hong Kong SAR of China; Francisco Rubio, Genetic Finance (HK) Limited, Hong Kong SAR of China; Matthew McKay, Hong Kong University of Science and Technology, Hong Kong SAR of China
SPTM-P14.6: GRAPH SAMPLING: ESTIMATION OF DEGREE DISTRIBUTIONS
Joya Deri, José M.F. Moura, Carnegie Mellon University, United States
SPTM-P14.7: ROBUST VERSIONS OF THE TUKEY BOXPLOT WITH THEIR APPLICATION TO DETECTION OF OUTLIERS
Georgy Shevlyakov, Kliton Andrea, St. Petersburg State Polytechnic University, Russian Federation; Lakshminarayan Choudur, Hewlett-Packard, United States; Pavel Smirnov, St. Petersburg State Polytechnic University, Russian Federation; Alexander Ulanov, Natalia Vassilieva, Hewlett-Packard, Russian Federation
SPTM-P14.8: RESOLUTION ENHANCEMENT OF ULTRASONIC SIGNALS BY UP-SAMPLED SPARSE DECONVOLUTION
Ewen Carcreff, Sébastien Bourguignon, Jérôme Idier, IRCCyN, France; Laurent Simon, LAUM, France
SPTM-P14.9: A COLLABORATIVE 20 QUESTIONS MODEL FOR TARGET SEARCH WITH HUMAN-MACHINE INTERACTION
Theodoros Tsiligkaridis, University of Michigan, Ann Arbor, United States; Brian Sadler, US Army Research Laboratory, United States; Alfred Hero, University of Michigan, Ann Arbor, United States
SPTM-P14.10: ON THE USE OF THE QUATERNION GENERALIZED GAUSSIAN DISTRIBUTION FOR FOOTSTEP DETECTION
Divya Venkatraman, Vinod V. Reddy, Andy W.H. Khong, Nanyang Technological University, Singapore
SPTM-P14.11: BEYOND MOORE-PENROSE: SPARSE PSEUDOINVERSE
Ivan Dokmanic, Mihailo Kolundzija, Martin Vetterli, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
SPTM-P14.12: A DOPPLER FOCUSING APPROACH FOR SUB-NYQUIST RADAR
Omer Bar-Ilan, Yonina C. Eldar, Technion - Israel Institute of Technology, Israel
SPTM-P15.1: MULTIPLE-CHANNEL DETECTION OF SIGNALS HAVING KNOWN RANK
Songsri Sirianunpiboon, Stephen D. Howard, DSTO, Australia; Douglas Cochran, Arizona State University, United States
SPTM-P15.2: BACKTRACKING MATCHING PURSUIT WITH SUPPLEMENT SET OF ARBITRARY SIZE
Laming Chen, Yuantao Gu, Tsinghua University, China
SPTM-P15.4: TRACKING DYNAMIC SPARSE SIGNALS USING HIERARCHICAL BAYESIAN KALMAN FILTERS
Evripidis Karseras, Kin Leung, Wei Dai, Imperial College London, United Kingdom
SPTM-P15.5: COMPRESSED-SENSING GAME THEORY (CSGT): A NOVEL POLYNOMIAL COMPLEXITY SOLUTION TO NASH EQUILIBRIA IN DYNAMICAL GAMES
Jing Huang, University of Illinois at Chicago, United States; Liming Wang, duke university, United States; Dan Schonfeld, University of Illinois at Chicago, United States
SPTM-P15.8: BAYESIAN ESTIMATION FOR THE MULTIFRACTALITY PARAMETER
Herwig Wendt, Nicolas Dobigeon, Jean-Yves Tourneret, University of Toulouse, France; Patrice Abry, École Normale Supérieure de Lyon, France
SPTM-P15.9: A JOINT ROBUST ESTIMATION AND RANDOM MATRIX FRAMEWORK WITH APPLICATION TO ARRAY PROCESSING
Romain Couillet, Frédéric Pascal, Supélec, France; Jack W. Silverstein, North Carolina State University, United States
SPTM-P15.10: A NEW CASCADED SPECTRAL SUBTRACTION APPROACH FOR BINAURAL SPEECH DEREVERBERATION AND ITS APPLICATION IN SOURCE SEPARATION
Muhammad Salman Khan, Syed Mohsen Naqvi, Jonathon A. Chambers, Loughborough University, United Kingdom
SPTM-P15.11: CLEANING UP TOXIC WASTE: REMOVING NEFARIOUS CONTRIBUTIONS TO RECOMMENDATION SYSTEMS
Adam Charles, Ali Ahmed, Aditya Joshi, Stephen Conover, Christopher Turnes, Mark Davenport, Georgia Institute of Technology, United States
SPTM-P16.1: KNOWLEDGE-ENHANCED MATCHING PURSUIT
Yuejie Chi, The Ohio State University, United States; Robert Calderbank, Duke University, United States
SPTM-P16.2: THRESHOLD SELECTION FOR NOISY MATRIX COMPLETION
Victor Solo, University of New South Wales, Australia
SPTM-P16.3: FAST PROXIMAL ALGORITHMS FOR SELF-CONCORDANT FUNCTION MINIMIZATION WITH APPLICATION TO SPARSE GRAPH SELECTION
Anastasios Kyrillidis, Volkan Cevher, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
SPTM-P16.4: TUNING PARAMETER SELECTION FOR NONNEGATIVE MATRIX FACTORIZATION
Magnus Ulfarsson, University of Iceland, Iceland; Victor Solo, University of New South Wales, Iceland
SPTM-P16.5: CONTINUUM-STATE HIDDEN MARKOV MODELS WITH DIRICHLET STATE DISTRIBUTIONS
Todd K Moon, Jacob H Gunther, Utah State University, United States
SPTM-P16.6: OPINION DYNAMICS WITH BOUNDED CONFIDENCE IN THE BAYES RISK ERROR DIVERGENCE SENSE
Kush Varshney, IBM T.J. Watson Research Center, United States
SPTM-P16.7: DATA FUSION BASED ON CONVEX OPTIMIZATION
Zhiyuan Weng, Petar Djuric, Stony Brook University, United States
SPTM-P16.8: ASYMPTOTIC LEARNING IN FEEDFORWARD NETWORKS WITH BINARY SYMMETRIC CHANNELS
Zhenliang Zhang, Edwin K. P. Chong, Ali Pezeshki, Colorado State University, United States; William Moran, Defence Science Institute, United States
SPTM-P16.9: TRACKING SPARSE SIGNAL SEQUENCES FROM NONLINEAR/NON-GAUSSIAN MEASUREMENTS AND APPLICATIONS IN ILLUMINATION-MOTION TRACKING
Rituparna Sarkar, Iowa State University, United States; Samarjit Das, Carnegie Mellon University, United States; Namrata Vaswani, Iowa State University, United States
SPTM-P16.10: A SUBSPACE-BASED VARIATIONAL BAYESIAN METHOD
Yuling Zheng, Aurelia Fraysse, Thomas Rodet, Université Paris-Sud (XI), France
SPTM-P16.11: ONLINE EM ESTIMATION OF THE DIRICHLET PROCESS MIXTURES SCALE PARAMETER TO MODEL THE GPS MULTIPATH ERROR
Vincent Pereira, Audrey Giremus, Université Bordeaux 1 - IPB -UMR CNRS 5218 IMS, France; Asma Rabaoui, Institut Fresnel - Phyti Team - Domaine universitaire de Saint-Jérôme, France; Eric Grivel, Université Bordeaux 1 - IPB -UMR CNRS 5218 IMS, France
SPTM-P16.12: ANALYSIS OF FISHER INFORMATION AND THE CRAMER-RAO BOUND FOR NONLINEAR PARAMETER ESTIMATION AFTER COMPRESSED SENSING
Pooria Pakrooh, Colorado State University, United States; Louis Scharf, Colroado State University, United States; Ali Pezeshki, Colorado State University, United States; Yuejie Chi, The Ohio State University, United States
SPTM-P16.13: CORE CONSISTENCY DIAGNOSTIC AIDED BY RECONSTRUCTION ERROR FOR ACCURATE ENUMERATION OF THE NUMBER OF COMPONENTS IN PARAFAC MODELS
Kefei Liu, H.C. So, City University of Hong Kong, Hong Kong SAR of China; Joao Paulo C. L. da Costa, University of Brasilia, Brazil; Lei Huang, Harbin Institute of Technology, Shenzhen Graduate School, China
SPTM-P16.14: TOEPLITZ MATRIX BASED SPARSE ERROR CORRECTION IN SYSTEM IDENTIFICATION: OUTLIERS AND RANDOM NOISES
Weiyu Xu, Er-Wei Bai, Myung Cho, University of Iowa, United States
SP-L1.1: SPEECH RECOGNITION WITH DEEP RECURRENT NEURAL NETWORKS
Alex Graves, Abdel-Rahman Mohamed, Geoffrey E. Hinton, University of Toronto, Canada
SP-L1.2: A CLUSTER-BASED MULTIPLE DEEP NEURAL NETWORKS METHOD FOR LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION
Pan Zhou, University of Science and Technology of China, China; Cong Liu, Qingfeng Liu, Anhui USTC iFLYTEK Corporation Limited, China; Li-Rong Dai, University of Science and Technology of China, China; Hui Jiang, York University, Canada
SP-L1.3: LOW-RANK MATRIX FACTORIZATION FOR DEEP NEURAL NETWORK TRAINING WITH HIGH-DIMENSIONAL OUTPUT TARGETS
Tara N. Sainath, Brian Kingsbury, Vikas Sindhwani, Ebru Arisoy, Bhuvana Ramabhadran, IBM T.J. Watson Research Center, United States
SP-L1.4: ASYNCHRONOUS STOCHASTIC GRADIENT DESCENT FOR DNN TRAINING
Shanshan Zhang, Ce Zhang, Zhao You, Rong Zheng, Bo Xu, Institute of Automation, Chinese Academy of Sciences, China
SP-L1.5: ERROR BACK PROPAGATION FOR SEQUENCE TRAINING OF CONTEXT-DEPENDENT DEEP NETWORKS FOR CONVERSATIONAL SPEECH TRANSCRIPTION
Hang Su, Tsinghua University, China; Gang Li, Dong Yu, Frank Seide, Microsoft Corporation, China
SP-L1.6: A DEEP CONVOLUTIONAL NEURAL NETWORK USING HETEROGENEOUS POOLING FOR TRADING ACOUSTIC INVARIANCE WITH PHONETIC CONFUSION
Li Deng, Microsoft Research, United States; Ossama Abdel-Hamid, York University, Canada; Dong Yu, Microsoft Corporation, United States
SP-L2.1: VOICE ACTIVITY DETECTION USING A SLIDING-WINDOW, MAXIMUM MARGIN CLUSTERING APPROACH
Phillip L. De Leon, Salvador Sanchez, New Mexico State University, United States
SP-L2.2: VOICE ACTIVITY DETECTION BASED ON FREQUENCY MODULATION OF HARMONICS
Chung-Chien Hsu, Tse-En Lin, National Chiao Tung University, Taiwan; Jian-Hueng Chen, Chunghwa Telecommunication Laboratories, Taiwan; Tai-Shih Chi, National Chiao Tung University, Taiwan
SP-L2.3: SPEECH ACTIVE LEVEL ESTIMATION IN NOISY CONDITIONS
Sira Gonzalez, Mike Brookes, Imperial College London, United Kingdom
SP-L2.4: SCALE-SPACE EXPANSION OF ACOUSTIC FEATURES IMPROVES SPEECH EVENT DETECTION
Neville Ryant, Jiahong Yuan, Mark Liberman, University of Pennsylvania, United States
SP-L2.5: PHONETIC SEGMENTATION USING STATISTICAL CORRECTION AND MULTI-RESOLUTION FUSION
Sixuan Zhao, Ing Yann Soon, Soo Ngee Koh, Kang Kwong Luke, Nanyang Technological University, Singapore
SP-L2.6: SYLL-O-MATIC: AN ADAPTIVE TIME-FREQUENCY REPRESENTATION FOR THE AUTOMATIC SEGMENTATION OF SPEECH INTO SYLLABLES
Nicolas Obin, François Lamare, Axel Roebel, IRCAM, France
SP-L3.1: DEEP NEURAL NETWORK FEATURES AND SEMI-SUPERVISED TRAINING FOR LOW RESOURCE SPEECH RECOGNITION
Samuel Thomas, The Johns Hopkins University, United States; Michael Seltzer, Microsoft Research, United States; Kenneth Church, IBM Research, United States; Hynek Hermansky, The Johns Hopkins University, United States
SP-L3.2: INVESTIGATING DEEP NEURAL NETWORK BASED TRANSFORMS OF ROBUST AUDIO FEATURES FOR LVCSR
Enrico Bocchieri, Dimitrios Dimitriadis, AT&T Labs Research, United States
SP-L3.3: FEATURE COMBINATION AND STACKING OF RECURRENT AND NON-RECURRENT NEURAL NETWORKS FOR LVCSR
Christian Plahl, Michal Kozielski, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany
SP-L3.4: MLP-BASED FACTOR ANALYSIS FOR TANDEM SPEECH RECOGNITION
Marc Ferras, Hervé Bourlard, Idiap Research Institute, Switzerland
SP-L3.5: AN EMPIRICAL STUDY OF LEARNING RATES IN DEEP NEURAL NETWORKS FOR SPEECH RECOGNITION
Andrew Senior, Georg Heigold, Marc'Aurelio Ranzato, Ke Yang, Google Inc., United States
SP-L3.6: GAUSSIAN-BERNOULLI RESTRICTED BOLTZMANN MACHINES AND AUTOMATIC FEATURE EXTRACTION FOR NOISE ROBUST MISSING DATA MASK ESTIMATION
Sami Keronen, KyungHyun Cho, Tapani Raiko, Alexander Ilin, Kalle Palomäki, Aalto University School of Science, Finland
SP-L4.1: ADVANCED SEARCH SPACE PRUNING WITH ACOUSTIC LOOK-AHEAD FOR WFST BASED LVCSR
David Nolden, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany
SP-L4.2: COMBINING FORWARD AND BACKWARD SEARCH IN DECODING
Mirko Hannemann, Brno University of Technology, Czech Republic; Daniel Povey, Johns Hopkins University, United States; Geoffrey Zweig, Mircosoft Corporation, United States
SP-L4.3: REVISITING HYBRID AND GMM-HMM SYSTEM COMBINATION TECHNIQUES
Pawel Swietojanski, Arnab Ghoshal, Steve Renals, University of Edinburgh, United Kingdom
SP-L4.4: LANGUAGE MODEL CAPITALIZATION
Françoise Beaufays, Brian Strope, Google Inc., United States
SP-L4.5: DEVELOPING SPEECH RECOGNITION SYSTEMS FOR CORPUS INDEXING UNDER THE IARPA BABEL PROGRAM
Jia Cui, Xiaodong Cui, Bhuvana Ramabhadran, Janice Kim, Brian Kingsbury, IBM T.J. Watson Research Center, United States; Jonathan Mamou, IBM Haifa Research Center, Israel; Lidia Mangu, Michael Picheny, Tara N. Sainath, Abhinav Sethy, IBM T.J. Watson Research Center, United States
SP-L4.6: THE BLAME GAME IN MEETING ROOM ASR: AN ANALYSIS OF FEATURE VERSUS MODEL ERRORS IN NOISY AND MISMATCHED CONDITIONS
Sree Hari Krishnan Parthasarathi, Shuo-Yiin Chang, Jordan Cohen, Nelson Morgan, Steven Wegmann, International Computer Science Institute, United States
SP-L5.1: HANDLING I-VECTORS FROM DIFFERENT RECORDING CONDITIONS USING MULTI-CHANNEL SIMPLIFIED PLDA IN SPEAKER RECOGNITION
Jesús Villalba, Eduardo Lleida, University of Zaragoza, Spain
SP-L5.2: DEVELOPING A SPEAKER IDENTIFICATION SYSTEM FOR THE DARPA RATS PROJECT
Oldrich Plchot, Brno University of Technology, Czech Republic; Spyros Matsoukas, Raytheon BBN Technologies, United States; Pavel Matejka, Brno University of Technology, Czech Republic; Najim Dehak, Massachusetts Institute of Technology, United States; Jeff Ma, Raytheon BBN Technologies, United States; Sandro Cumani, Ondrej Glembek, Brno University of Technology, Czech Republic; Hynek Hermansky, Sri Harish Mallidi, Johns Hopkins University, United States; Nima Mesgarani, University of Maryland, United States; Richard Schwartz, Raytheon BBN Technologies, United States; Mehdi Soufifar, Brno University of Technology, Czech Republic; Zheng-Hua Tan, Aalborg University, Denmark; Samuel Thomas, Johns Hopkins University, United States; Bing Zhang, Raytheon BBN Technologies, United States; Xinhui Zhou, University of Maryland, United States
SP-L5.3: IMPROVING SPEAKER IDENTIFICATION ROBUSTNESS TO HIGHLY CHANNEL-DEGRADED SPEECH THROUGH MULTIPLE SYSTEM FUSION
Mitchell McLaren, Nicolas Scheffer, Martin Graciarena, Luciana Ferrer, Yun Lei, SRI International, United States
SP-L5.4: KNOWING THE NON-TARGET SPEAKERS: THE EFFECT OF THE I-VECTOR POPULATION FOR PLDA TRAINING IN SPEAKER RECOGNITION
David Van Leeuwen, Rahim Saeidi, Radboud University Nijmegen, Netherlands
SP-L5.5: CRSS SYSTEMS FOR 2012 NIST SPEAKER RECOGNITION EVALUATION
Taufiq Hasan, Seyed Omid Sadjadi, Gang Liu, Navid Shokouhi, Hynek Boril, John H.L. Hansen, The University of Texas at Dallas, United States
SP-L5.6: A NOISE ROBUST I-VECTOR EXTRACTOR USING VECTOR TAYLOR SERIES FOR SPEAKER RECOGNITION
Yun Lei, SRI International, United States; Lukas Burget, Brno University of Technology, Czech Republic; Nicolas Scheffer, SRI International, United States
SP-L6.1: MODEL ADAPTATION OF FACTORIAL HMMS FOR MULTIPITCH TRACKING
Michael Wohlmayr, Franz Pernkopf, Graz University of Technology, Austria
SP-L6.2: HIGHER ORDER WAVEFORM SYMMETRY MEASURE AND ITS APPLICATION TO PERIODICITY DETECTORS FOR SPEECH AND SINGING WITH FINE TEMPORAL RESOLUTION
Hideki Kawahara, Wakayama University, Japan; Masanori Morise, University of Yamanashi, Japan; Ryuichi Nisimura, Toshio Irino, Wakayama University, Japan
SP-L6.3: AN EXACT SUBSPACE METHOD FOR FUNDAMENTAL FREQUENCY ESTIMATION
Mads Græsbøll Christensen, Aalborg University, Denmark
SP-L6.4: EVALUATION OF PITCH ESTIMATION ALGORITHMS ON SEPARATED SPEECH
Feng Huang, Yu Ting Yeung, Tan Lee, The Chinese University of Hong Kong, Hong Kong SAR of China
SP-L6.5: JOINT DOA AND FUNDAMENTAL FREQUENCY ESTIMATION BASED ON RELAXED ITERATIVE ADAPTIVE APPROACH AND OPTIMAL FILTERING
Zhenhua Zhou, City University of Hong Kong, Hong Kong SAR of China; Mads Græsbøll Christensen, Jesper Jensen, Aalborg University, Denmark; H.C. So, City University of Hong Kong, Hong Kong SAR of China
SP-L7.1: COUPLING BINARY MASKING AND ROBUST ASR
Arun Narayanan, DeLiang Wang, The Ohio State University, United States
SP-L7.2: FEATURE ENHANCEMENT BY BIDIRECTIONAL LSTM NETWORKS FOR CONVERSATIONAL SPEECH RECOGNITION IN HIGHLY NON-STATIONARY NOISE
Martin Woellmer, BMW Group, Germany; Zixing Zhang, Felix Weninger, Björn Schuller, Gerhard Rigoll, Technische Universität München, Germany
SP-L7.3: GMM-BASED SIGNIFICANCE DECODING
Ahmed Hussen Abdelaziz, Steffen Zeiler, Dorothea Kolossa, Ruhr-Universität Bochum, Germany; Volker Leutnant, Reinhold Haeb-Umbach, University of Paderborn, Germany
SP-L7.4: DISCRIMINATIVE RECOGNITION RATE ESTIMATION FOR N-BEST LIST AND ITS APPLICATION TO N-BEST RESCORING
Atsunori Ogawa, Takaaki Hori, Atsushi Nakamura, Nippon Telegraph and Telephone Corporation, Japan
SP-L7.5: ASR ERROR SEGMENT LOCALIZATION FOR SPOKEN RECOVERY STRATEGY
Frederic Bechet, Benoit Favre, Aix-Marseille Université, France
SP-L7.6: SPEECH ACTIVITY DETECTION: AN ECONOMICS APPROACH
TJ Tsai, University of California, Berkeley, United States; Nelson Morgan, International Computer Science Institute, United States
SP-L8.1: PROSODIC FEATURES AND FORMANT MODELING FOR AN IVECTOR-BASED LANGUAGE RECOGNITION SYSTEM
David Martínez, Eduardo Lleida, Alfonso Ortega, Antonio Miguel, University of Zaragoza, Spain
SP-L8.2: LOW-RESOURCE LANGUAGE RECOGNITION USING A FUSION OF PHONEME POSTERIORGRAM COUNTS, ACOUSTIC AND GLOTTAL-BASED I-VECTORS
Luis Fernando D'Haro, Ricardo Cordoba, Miguel Angel Caraballo, Jose Manuel Pardo, Speech Technology Group - Universidad Politécnica de Madrid, Spain
SP-L8.3: UNSUPERVISED CHANNEL ADAPTATION FOR LANGUAGE IDENTIFICATION USING CO-TRAINING
Sriram Ganapathy, Mohamed Omar, Jason Pelecanos, IBM, United States
SP-L8.4: DISCRIMINATIVE FEATURE EXTRACTION FOR LANGUAGE IDENTIFICATION
Shuai Huang, Glen Coppersmith, Johns Hopkins University, United States
SP-L8.5: SIMPLIFIED DOMAIN TRANSFER MULTIPLE KERNEL LEARNING FOR LANGUAGE RECOGNITION
Jiaming Xu, Chinese Academy of Sciences, China; Jia Liu, Tsinghua University, China; Shanhong Xia, Chinese Academy of Sciences, China
SP-L8.6: SUBSPACE-BASED PHONOTACTIC LANGUAGE RECOGNITION USING MULTIVARIATE DYNAMIC LINEAR MODELS
Hung-Shin Lee, Yu-Chin Shih, National Taiwan University, Taiwan; Hsin-Min Wang, Academia Sinica, Taiwan; Shyh-Kang Jeng, National Taiwan University, Taiwan
SP-L9.1: UNSUPERVISED PROSODIC PHRASE BOUNDARY LABELING OF MANDARIN SPEECH SYNTHESIS DATABASE USING CONTEXT-DEPENDENT HMM
Chen-Yu Yang, Zhen-Hua Ling, Li-Rong Dai, University of Science and Technology of China, China
SP-L9.2: TRAINING A SUPRA-SEGMENTAL PARAMETRIC F0 MODEL WITHOUT INTERPOLATING F0
Javier Latorre, Mark J.F. Gales, Kate Knill, Toshiba Research Europe Ltd., United Kingdom; Masami Akamine, Toshiba Corporate Research & Development Center, Japan
SP-L9.3: F0 CONTOUR PREDICTION WITH A DEEP BELIEF NETWORK-GAUSSIAN PROCESS HYBRID MODEL
Raul Fernandez, Asaf Rendel, Bhuvana Ramabhadran, Ron Hoory, IBM Research, United States
SP-L9.4: ACCENT GROUP MODELING FOR IMPROVED PROSODY IN STATISTICAL PARAMETERIC SPEECH SYNTHESIS
Gopala Krishna Anumanchipalli, INESC-ID/IST; Carnegie Mellon University, Portugal; Luís C. Oliveira, INESC-ID/IST, Portugal; Alan W. Black, Carnegie Mellon University, United States
SP-L9.5: SPEAKER'S INTENTIONS CONVEYED TO LISTENERS BY SENTENCE-FINAL PARTICLES AND THEIR INTONATIONS IN JAPANESE CONVERSATIONAL SPEECH
Kazuhiko Iwata, Tetsunori Kobayashi, Waseda University, Japan
SP-L9.6: A SPEAKING RATE-CONTROLLED MANDARIN TTS SYSTEM
Chiao-Hua Hsieh, Yih-Ru Wang, National Chiao Tung University, Taiwan; Chen-Yu Chiang, National Taipei University, Taiwan; Sin-Horng Chen, National Chiao Tung University, Taiwan
SP-L10.1: NON-PARALLEL TRAINING FOR VOICE CONVERSION BASED ON ADAPTATION METHOD
Peng Song, Wenming Zheng, Li Zhao, Southeast University, China
SP-L10.2: GENERATION OF GROWL-TYPE VOICE QUALITIES BY SPECTRAL MORPHING
Jordi Bonada, Merlijn Blaauw, Universitat Pompeu Fabra, Spain
SP-L10.3: A STYLE CAPTURING APPROACH TO F0 TRANSFORMATION IN VOICE CONVERSION
Gopala Krishna Anumanchipalli, INESC-ID/IST; Carnegie Mellon University, Portugal; Luís C. Oliveira, INESC-ID/IST, Portugal; Alan W. Black, Carnegie Mellon University, United States
SP-L10.4: TRANSMUTATIVE VOICE CONVERSION
Seyed Hamidreza Mohammadi, Alexander Kain, Oregon Health & Science University, United States
SP-L10.5: PHONEME INDEPENDENT HMM VOICE CONVERSION
Winston Percybrooks, Elliot Moore, Correy McMillan, Georgia Institute of Technology, United States
SP-L10.6: HMM-BASED SPEECH SYNTHESIS ADAPTATION USING NOISY DATA: ANALYSIS AND EVALUATION METHODS
Reima Karhila, Ulpu Remes, Mikko Kurimo, Aalto University, Finland
SP-P1.1: EFFECTIVENESS OF DISCRIMINATIVE TRAINING AND FEATURE TRANSFORMATION FOR REVERBERATED AND NOISY SPEECH
Yuuki Tachioka, Mitsubishi Electric, Japan; Shinji Watanabe, John R. Hershey, Mitsubishi Electric Research Laboratories (MERL), United States
SP-P1.2: TIED-STATE BASED DISCRIMINATIVE TRAINING OF CONTEXT-EXPANDED REGION-DEPENDENT FEATURE TRANSFORMS FOR LVCSR
Zhi-Jie Yan, Qiang Huo, Jian Xu, Yu Zhang, Microsoft Research Asia, China
SP-P1.3: STATE OF THE ART DISCRIMINATIVE TRAINING OF SUBSPACE CONSTRAINED GAUSSIAN MIXTURE MODELS IN BIG TRAINING CORPORA
Jing Huang, Peder Olsen, Vaibhava Goel, IBM, United States
SP-P1.4: KERNELIZED LOG LINEAR MODELS FOR CONTINUOUS SPEECH RECOGNITION
Shi-Xiong Zhang, Mark J.F. Gales, Cambridge University, United Kingdom
SP-P1.5: A CRITICAL EVALUATION OF STOCHASTIC ALGORITHMS FOR CONVEX OPTIMIZATION
Simon Wiesler, Alexander Richard, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany
SP-P1.6: ADAPTIVE BOOSTED NON-UNIFORM MCE FOR KEYWORD SPOTTING ON SPONTANEOUS SPEECH
Chao Weng, Biing-Hwang (Fred) Juang, Georgia Institute of Technology, United States
SP-P1.7: MULTI-TASK LEARNING IN DEEP NEURAL NETWORKS FOR IMPROVED PHONEME RECOGNITION
Michael Seltzer, Jasha Droppo, Microsoft Corporation, United States
SP-P1.8: DEEP HIERARCHICAL BOTTLENECK MRASTA FEATURES FOR LVCSR
Zoltán Tüske, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany
SP-P1.9: MULTI-LEVEL ADAPTIVE NETWORKS IN TANDEM AND HYBRID ASR SYSTEMS
Peter Bell, Pawel Swietojanski, Steve Renals, University of Edinburgh, United Kingdom
SP-P1.10: INCOHERENT TRAINING OF DEEP NEURAL NETWORKS TO DE-CORRELATE BOTTLENECK FEATURES FOR SPEECH RECOGNITION
Yebo Bao, University of Science and Technology of China, China; Hui Jiang, York University, Canada; Li-Rong Dai, University of Science and Technology of China, China; Cong Liu, Anhui USTC iFLYTEK Corporation Limited, China
SP-P1.11: PHONE RECOGNITION WITH DEEP SPARSE RECTIFIER NEURAL NETWORKS
Laszlo Toth, Research Group on Artificial Intelligence, Hungary
SP-P1.12: WARPED MINIMUM VARIANCE DISTORTIONLESS RESPONSE BASED BOTTLE NECK FEATURES FOR LVCSR
Kevin Kilgour, Igor Tseyzer, Quoc Bao Nguyen, Alex Waibel, Karlsruhe Institute of Technology (KIT), Germany
SP-P1.13: EFFICIENT MANIFOLD LEARNING FOR SPEECH RECOGNITION USING LOCALITY SENSITIVE HASHING
Vikrant Tomar, Richard Rose, McGill University, Canada
SP-P1.14: TYING ROTATIONS OF COVARIANCE MATRICES VIA RIEMANNIAN SUBSPACE CLUSTERING
Yusuke Shinohara, Toshiba Corporation, Japan
SP-P2.1: PRIVACY-PRESERVING DISTRIBUTED SPEECH ENHANCEMENT FOR WIRELESS SENSOR NETWORKS BY PROCESSING IN THE ENCRYPTED DOMAIN
Richard Hendriks, Zekeriya Erkin, Delft University of Technology, Netherlands; Timo Gerkmann, University of Oldenburg, Germany
SP-P2.2: GENERALIZATION OF PRE-IMAGE ITERATIONS FOR SPEECH ENHANCEMENT
Christina Leitner, Franz Pernkopf, Graz University of Technology, Austria
SP-P2.3: A SPARSE REPRESENTATION APPROACH FOR PERCEPTUAL QUALITY IMPROVEMENT OF SEPARATED SPEECH
Donald Williamson, Yuxuan Wang, Deliang Wang, The Ohio State University, United States
SP-P2.6: FREQUENCY OFFSET CORRECTION IN SPEECH WITHOUT DETECTING PITCH
Pascal Clark, Harish Mallidi, Aren Jansen, Hynek Hermansky, Johns Hopkins University, United States
SP-P2.7: ADAPTIVE SPEECH ENHANCEMENT USING SPARSE PRIOR INFORMATION
Zhimin Xiang, Yuantao Gu, Tsinghua University, China
SP-P2.8: A NEW MASK-BASED OBJECTIVE MEASURE FOR PREDICTING THE INTELLIGIBILITY OF BINARY MASKED SPEECH
Chengzhu Yu, Kamil Wojcicki, Philip Loizou, John H.L. Hansen, The University of Texas at Dallas, United States
SP-P2.10: ROBUSTNESS TO SPEAKER POSITION IN DISTANT-TALKING AUTOMATIC SPEECH RECOGNITION
Randy Gomez, Keisuke Nakamura, Kazuhiro Nakadai, Honda Research Institute Japan Co., Ltd., Japan
SP-P2.11: IMPACT OF HEARING IMPAIRMENT ON FRICATIVE INTELLIGIBILITY FOR ARTIFICIALLY BANDWIDTH-EXTENDED TELEPHONE SPEECH IN NOISE
Patrick Bauer, Jennifer Jones, Tim Fingscheidt, Technische Universität Braunschweig, Germany
SP-P2.12: ON THE RELATION BETWEEN SPEECH CORRUPTION MODELS IN THE SPECTRAL AND THE CEPSTRAL DOMAIN
Ramón Astudillo, Spoken Language Laboratory, Portugal; Timo Gerkmann, Speech Signal Processing Group, Germany
SP-P2.13: ENHANCEMENT OF THROAT MICROPHONE RECORDINGS BY LEARNING PHONE-DEPENDENT MAPPINGS OF SPEECH SPECTRA
M.A. Tugtekin Turan, Engin Erzin, Koc University, Turkey
SP-P3.1: COMBINING WINDOW PREDICTIONS EFFICIENTLY - A NEW IMPUTATION APPROACH FOR NOISE ROBUST AUTOMATIC SPEECH RECOGNITION
Qun Feng Tan, Shrikanth Narayanan, University of Southern California, United States
SP-P3.2: NOISE MODEL TRANSFER USING AFFINE TRANSFORMATION WITH APPLICATION TO LARGE VOCABULARY REVERBERANT SPEECH RECOGNITION
Takuya Yoshioka, Tomohiro Nakatani, Nippon Telegraph and Telephone Corporation, Japan
SP-P3.3: SPECTRO-TEMPORAL FEATURES FOR NOISE-ROBUST SPEECH RECOGNITION USING POWER-LAW NONLINEARITY AND POWER-BIAS SUBTRACTION
Shuo-Yiin Chang, University of California, Berkeley, United States; Bernd T. Meyer, University of Oldenburg, Germany; Nelson Morgan, International Computer Science Institute, United States
SP-P3.4: RECOGNITION OF OVERLAPPING SPEECH USING DIGITAL MEMS MICROPHONE ARRAYS
Erich Zwyssig, EADS, United Kingdom; Friedrich Faubel, Saarland University, Germany; Steve Renals, The University of Edinburgh, United Kingdom; Mike Lincoln, Quorate Technology Ltd., United Kingdom
SP-P3.5: STEREO-BASED FEATURE ENHANCEMENT USING DICTIONARY LEARNING
Shinji Watanabe, John R. Hershey, Mitsubishi Electric Research Laboratories (MERL), United States
SP-P3.6: A VTS-BASED FEATURE COMPENSATION APPROACH TO NOISY SPEECH RECOGNITION USING MIXTURE MODELS OF DISTORTION
Jun Du, University of Science and Technology of China, China; Qiang Huo, Microsoft Research Asia, China
SP-P3.7: AN ADVANCED FEATURE COMPENSATION METHOD EMPLOYING ACOUSTIC MODEL WITH PHONETICALLY CONSTRAINED STRUCTURE
Wooil Kim, Incheon National University, Republic of Korea; John H.L. Hansen, The University of Texas at Dallas, United States
SP-P3.8: NOISE AWARE MANIFOLD LEARNING FOR ROBUST SPEECH RECOGNITION
Vikrant Tomar, Richard Rose, McGill University, Canada
SP-P3.9: IDEAL RATIO MASK ESTIMATION USING DEEP NEURAL NETWORKS FOR ROBUST SPEECH RECOGNITION
Arun Narayanan, DeLiang Wang, The Ohio State University, United States
SP-P3.10: A ROBUST FRONTEND FOR ASR: COMBINING DENOISING, NOISE MASKING AND FEATURE NORMALIZATION
Maarten Van Segbroeck, Shrikanth Narayanan, University of Southern California, United States
SP-P3.11: FILTER-BANK OPTIMIZATION FOR FREQUENCY DOMAIN LINEAR PREDICTION
Vijayaditya Peddinti, Hynek Hermansky, Johns Hopkins University, United States
SP-P3.12: AN MCMC APPROACH TO JOINT ESTIMATION OF CLEAN SPEECH AND NOISE FOR ROBUST SPEECH RECOGNITION
Aleem Mushtaq, Chin-Hui Lee, Georgia Institute of Technology, United States
SP-P3.13: FILTERING ON THE TEMPORAL PROBABILITY SEQUENCE IN HISTOGRAM EQUALIZATION FOR ROBUST SPEECH RECOGNITION
Syu-Siang Wang, Yu Tsao, Academia Sinica, Taiwan; Jeih-weih Hung, National Chi Nan University, Taiwan
SP-P3.14: JOINT SPARSE REPRESENTATION BASED CEPSTRAL-DOMAIN DEREVERBERATION FOR DISTANT-TALKING SPEECH RECOGNITION
Weifeng Li, Tsinghua University, China; Longbiao Wang, Nagaoka University, Japan; Fei Zhou, Qingmin Liao, Tsinghua University, China
SP-P4.1: EFFECT OF FILTER BANDWIDTH AND SPECTRAL SAMPLING RATE OF ANALYSIS FILTERBANK ON AUTOMATIC PHONEME RECOGNITION
Feipeng Li, Hynek Hermansky, Johns Hopkins University, United States
SP-P4.2: PROBABILISTIC ASR FEATURE EXTRACTION APPLYING CONTEXT-SENSITIVE CONNECTIONIST TEMPORAL CLASSIFICATION NETWORKS
Martin Woellmer, BMW Group, Germany; Björn Schuller, Gerhard Rigoll, Technische Universität München, Germany
SP-P4.3: OPTIMIZED MFCC FEATURE EXTRACTION ON GPU
Haofeng Kou, Weijia Shang, Santa Clara University, United States; Ian Lane, Jike Chong, Carnegie Mellon University, United States
SP-P4.4: MULTI-VIEW CCA-BASED ACOUSTIC FEATURES FOR PHONETIC RECOGNITION ACROSS SPEAKERS AND DOMAINS
Raman Arora, Karen Livescu, Toyota Technological Institute at Chicago, United States
SP-P4.5: PERFORMANCES OF UNSUPERVISED HMM IN ACOUSTIC-TO-ARTICULATORY INVERSION
Helene Lachambre, Lionel Koenig, Régine André-Obrecht, IRIT - University of Toulouse, France
SP-P4.6: ARTICULATORY TRAJECTORIES FOR LARGE-VOCABULARY SPEECH RECOGNITION
Vikramjit Mitra, Wen Wang, SRI International, United States; Andreas Stolcke, Microsoft Research, United States; Hosung Nam, Haskins Laboratories, United States; Colleen Richey, SRI International, United States; Jiahong Yuan, Mark Liberman, University of Pennsylvania, United States
SP-P4.7: DISTINCT TRIPHONE MODELING BY REFERENCE MODEL WEIGHTING
Dongpeng Chen, Brian Mak, The Hong Kong University of Science and Technology, Hong Kong SAR of China
SP-P4.8: A NEW PHASE-BASED FEATURE REPRESENTATION FOR ROBUST SPEECH RECOGNITION
Erfan Loweimi, Seyed Mohammad Ahadi, Amirkabir University of Technology (Tehran Polytechnic), Iran; Thomas Drugman, Université de Mons, Belgium
SP-P4.9: CHANNEL-MAPPING FOR SPEECH CORPUS RECYCLING
Osamu Ichikawa, Steven Rennie, Takashi Fukuda, Masafumi Nishimura, IBM, Japan
SP-P4.10: AN EVALUATION OF POSTERIOR MODELING TECHNIQUES FOR PHONETIC RECOGNITION
Rohit Prabhavalkar, The Ohio State University, United States; Tara N. Sainath, David Nahamoo, Bhuvana Ramabhadran, Dimitri Kanevsky, IBM T.J. Watson Research Center, United States
SP-P4.11: ACCENT ADAPTATION USING SUBSPACE GAUSSIAN MIXTURE MODELS
Petr Motlicek, Philip N. Garner, Idiap Research Institute, Switzerland; Namhoon Kim, Jeongmi Cho, Samsung Electronics Co. Ltd, Republic of Korea
SP-P4.12: SEMI-SUPERVISED ACCENT DETECTION AND MODELING
Shilei Zhang, Yong Qin, IBM Research, China
SP-P4.13: TONE RECOGNITION FOR CONTINUOUS ACCENTED MANDARIN CHINESE
Jiang Wu, Stephen A. Zahorian, Hongbing Hu, SUNY-Binghamton, United States
SP-P4.14: SUBMODULAR FEATURE SELECTION FOR HIGH-DIMENSIONAL ACOUSTIC SCORE SPACES
Yuzong Liu, Kai Wei, Katrin Kirchhoff, Yisong Song, Jeff Bilmes, University of Washington, United States
SP-P5.1: EVALUATION OF MIMICKED SPEECH USING PROSODIC FEATURES
Leena Mary, Anish Babu K. K, Aju Joseph, Gibin M. George, Rajiv Gandhi Institute of Technology, India
SP-P5.2: I-MATRIX FOR TEXT-INDEPENDENT SPEAKER RECOGNITION
Liang He, Jia Liu, Tsinghua University, China
SP-P5.3: SPEAKER VERIFICATION USING SIMPLIFIED AND SUPERVISED I-VECTOR MODELING
Ming Li, Andreas Tsiartas, Maarten Van Segbroeck, Shrikanth Narayanan, University of Southern California, United States
SP-P5.4: ANALYZING NOISE ROBUSTNESS OF MFCC AND GFCC FEATURES IN SPEAKER IDENTIFICATION
Xiaojia Zhao, DeLiang Wang, The Ohio State University, United States
SP-P5.5: WHISPERED SPEAKER VERIFICATION AND GENDER DETECTION USING WEIGHTED INSTANTANEOUS FREQUENCIES
Milton Sarria-Paja, Tiago H. Falk, Douglas O'Shaughnessy, Institut National de la Recherche Scientifique, University of Quebec, Canada
SP-P5.6: ROBUST FRONT-END PROCESSING FOR SPEAKER IDENTIFICATION OVER EXTREMELY DEGRADED COMMUNICATION CHANNELS
Seyed Omid Sadjadi, John H.L. Hansen, The University of Texas at Dallas, United States
SP-P5.7: AUTOMATIC RECOGNITION OF PHYSIOLOGICAL PARAMETERS IN THE HUMAN VOICE: HEART RATE AND SKIN CONDUCTANCE
Björn Schuller, University of Passau, Germany; Felix Friedmann, Florian Eyben, Technische Universität München, Germany
SP-P5.8: HANDS-FREE SPEAKER IDENTIFICATION BASED ON SPECTRAL SUBTRACTION USING A MULTI-CHANNEL LEAST MEAN SQUARE APPROACH
Longbiao Wang, Nagaoka University of Technology, Japan; Zhaofeng Zhang, Atsuhiko Kai, Shizuoka University, Japan
SP-P5.9: A PRACTICAL, SELF-ADAPTIVE VOICE ACTIVITY DETECTOR FOR SPEAKER VERIFICATION WITH NOISY TELEPHONE AND MICROPHONE DATA
Tomi Kinnunen, Padmanabhan Rajan, University of Eastern Finland, Finland
SP-P5.10: SYNTHETIC SPEECH DETECTION USING TEMPORAL MODULATION FEATURE
Zhizheng Wu, Xiong Xiao, Eng-Siong Chng, Nanyang Technological University, Singapore; Haizhou Li, Institute for Infocomm Research, Singapore
SP-P6.1: DUAL-MICROPHONE NOISE REDUCTION FOR MOBILE PHONE APPLICATION
Zhong-Hua Fu, Northwestern Polytechnical University, China; Fan Fan, Jia-Dian Huang, ZTE Corporation, China
SP-P6.2: LEAST-SQUARES DISTORTIONLESS RESPONSE BEAMFORMER IN FAR-FIELD ENVIRONMENTS WITH SPATIAL CUES PRESERVATION
Frederic Mustiere, Integrated Device Technology Canada, Canada; Martin Bouchard, University of Ottawa, Canada
SP-P6.3: COUPLING BEAMFORMING WITH SPATIAL AND SPECTRAL FEATURE BASED SPECTRAL ENHANCEMENT AND ITS APPLICATION TO MEETING RECOGNITION
Tomohiro Nakatani, Mehrez Souden, Shoko Araki, Takuya Yoshioka, Takaaki Hori, Atsunori Ogawa, Nippon Telegraph and Telephone Corporation, Japan
SP-P6.4: TARGET SPEAKER SEPARATION IN MULTISOURCE ENVIRONMENT USING SPEAKER-DEPENDENT POSTFILTER AND NOISE ESTIMATION
Pejman Mowlaee, Graz University of Technology, Austria; Rahim Saeidi, Radboud University Nijmegen, Netherlands
SP-P6.5: ADAPTIVE BINAURAL NOISE REDUCTION BASED ON MATCHED-FILTER EQUALIZATION AND POST-FILTERING
Masoumeh Azarpour, Gerald Enzner, Rainer Martin, Ruhr-Universität Bochum, Germany
SP-P6.6: ROBUST NOISE PSD ESTIMATION FOR BINAURAL HEARING AIDS IN TIME-VARYING DIFFUSE NOISE FIELD
Youna Ji, Young-Cheol Park, Yonsei University, Republic of Korea; Dong-Wook Kim, Junil Sohn, Samsung Electronics Co. Ltd, Republic of Korea
SP-P6.7: A GENERALIZED DATA-DRIVEN SPEECH ENHANCEMENT FRAMEWORK FOR BILATERAL COCHLEAR IMPLANTS
Taher Mirzahasanloo, Nasser Kehtarnavaz, The University of Texas at Dallas, United States
SP-P6.8: MULTICHANNEL SIGNAL ENHANCEMENT USING NON-CAUSAL, TIME-DOMAIN FILTERS
Jesper Rindom Jensen, Mads Græsbøll Christensen, Aalborg University, Denmark; Jacob Benesty, University of Quebec, Canada
SP-P6.9: DUAL MICROPHONE NOISE PSD ESTIMATION FOR MOBILE PHONES IN HANDS-FREE POSITION EXPLOITING THE COHERENCE AND SPEECH PRESENCE PROBABILITY
Christoph Matthias Nelke, RWTH Aachen University, Germany; Christophe Beaugeant, Intel, Mobile and Communications Group, France; Peter Vary, RWTH Aachen University, Germany
SP-P6.10: INCORPORATING MULTI-CHANNEL WIENER FILTER WITH SINGLE-CHANNEL SPEECH ENHANCEMENT ALGORITHM
Pei Chee Yong, Sven Nordholm, Hai Huyen Dam, Yee Hong Leung, Chiong Ching Lai, Curtin University, Australia
SP-P6.11: DUAL-CHANNEL NOISE REDUCTION BASED ON A MIXTURE OF CIRCULAR-SYMMETRIC COMPLEX GAUSSIANS ON UNIT HYPERSPHERE
Jalal Taghia, Rainer Martin, Ruhr-Universität Bochum, Germany; Jalil Taghia, Arne Leijon, KTH Royal Institute of Technology, Sweden
SP-P6.12: UTILITY OF AUXILIARY SENSOR DATA FOR SPEECH ENHANCEMENT
Sriram Srinivasan, Patrick Kechichian, Philips Research, Netherlands
SP-P6.13: A DIAGONALIZED NEWTON ALGORITHM FOR NON-NEGATIVE SPARSE CODING
Hugo Van hamme, Katholieke Universiteit Leuven, Belgium
SP-P7.1: CROSS-LANGUAGE KNOWLEDGE TRANSFER USING MULTILINGUAL DEEP NEURAL NETWORK WITH SHARED HIDDEN LAYERS
Jui-Ting Huang, Jinyu Li, Microsoft Corporation, United States; Dong Yu, Li Deng, Microsoft Research, United States; Yifan Gong, Microsoft Corporation, United States
SP-P7.2: RAPID DEVELOPMENT OF A LATVIAN SPEECH-TO-TEXT SYSTEM
Ilya Oparin, LNE, France; Lori Lamel, Jean-Luc Gauvain, LIMSI CNRS, France
SP-P7.3: LANGUAGE DIARIZATION FOR CODE-SWITCH CONVERSATIONAL SPEECH
Dau-Cheng Lyu, Eng-Siong Chng, Haizhou Li, Nanyang Technological University, Singapore
SP-P7.4: MULTILINGUAL TRAINING OF DEEP NEURAL NETWORKS
Arnab Ghoshal, Pawel Swietojanski, Steve Renals, University of Edinburgh, United Kingdom
SP-P7.5: MANUAL AND SEMI-AUTOMATIC APPROACHES TO BUILDING A MULTILINGUAL PHONEME SET
Ekaterina Egorova, Karel Vesely, Martin Karafiat, Milos Janda, Jan Cernocky, Brno University of Technology, Czech Republic
SP-P7.6: RAPID BOOTSTRAPPING OF A UKRAINIAN LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION SYSTEM
Tim Schlippe, Mykola Volovyk, Kateryna Yurchenko, Tanja Schultz, Karlsruhe Institute of Technology (KIT), Germany
SP-P7.7: GRAPHEME AND MULTILINGUAL POSTERIOR FEATURES FOR UNDER-RESOURCED SPEECH RECOGNITION: A STUDY ON SCOTTISH GAELIC
Ramya Rasipuram, Idiap Research Institute, École polytechnique fédérale de Lausanne, Switzerland; Peter Bell, Centre for Speech Technology Research, University of Edinburgh, United Kingdom; Mathew Magimai Doss, Idiap Research Institute, Switzerland
SP-P7.8: SUBSPACE MIXTURE MODEL FOR LOW-RESOURCE SPEECH RECOGNITION IN CROSS-LINGUAL SETTINGS
Yajie Miao, Florian Metze, Alex Waibel, Carnegie Mellon University, United States
SP-P7.9: ACCENT RECOGNITION USING I-VECTOR, GAUSSIAN MEAN SUPERVECTOR AND GAUSSIAN POSTERIOR PROBABILITY SUPERVECTOR FOR SPONTANEOUS TELEPHONE SPEECH
Mohamad Hasan Bahari, Katholieke Universiteit Leuven, Belgium; Rahim Saeidi, Radboud University Nijmegen, Belgium; Hugo Van hamme, Katholieke Universiteit Leuven, Belgium; David Van Leeuwen, Radboud University Nijmegen, Netherlands
SP-P7.10: INVESTIGATION ON CROSS- AND MULTILINGUAL MLP FEATURES UNDER MATCHED AND MISMATCHED ACOUSTICAL CONDITIONS
Zoltán Tüske, RWTH Aachen University, Germany; Joel Pinto, Daniel Willett, Nuance Communications Deutschland GmbH, Germany; Ralf Schlüter, RWTH Aachen University, Germany
SP-P7.11: EXEMPLAR BASED LANGUAGE RECOGNITION METHOD FOR SHORT-DURATION SPEECH SEGMENTS
Meng-Ge Wang, Yan Song, Bing Jiang, Li-Rong Dai, Ian McLoulghlin, University of Science and Technology of China, China
SP-P7.12: AUTOMATIC LOCALIZATION OF A LANGUAGE-INDEPENDENT SUB-NETWORK ON DEEP NEURAL NETWORKS TRAINED BY MULTI-LINGUAL SPEECH
Shigeki Matsuda, Xugang Lu, Hideki Kashioka, National Institute of Information and Communications Technology, Japan
SP-P7.13: SUPERVECTOR PRE-PROCESSING FOR PRSVM-BASED CHINESE AND ARABIC DIALECT IDENTIFICATION
Qian Zhang, Hynek Boril, John H.L. Hansen, The University of Texas at Dallas, United States
SP-P7.14: IMPROVED MIXED LANGUAGE SPEECH RECOGNITION USING ASYMMETRIC ACOUSTIC MODEL AND LANGUAGE MODEL WITH CODE-SWITCH INVERSION CONSTRAINTS
Ying Li, Pascale Fung, The Hong Kong University of Science and Technology, Hong Kong SAR of China
SP-P8.1: VOICE ACTIVITY DETECTION USING CONVOLUTIVE NON-NEGATIVE SPARSE CODING
Peng Teng, Yunde Jia, Beijing Institute of Technology, China
SP-P8.2: RECURRENT NEURAL NETWORKS FOR VOICE ACTIVITY DETECTION
Thad Hughes, Keir Mierle, Google Inc., United States
SP-P8.3: APPROXIMATED PARALLEL MODEL COMBINATION FOR EFFICIENT NOISE-ROBUST SPEECH RECOGNITION
Khe Chai Sim, National University of Singapore, Singapore
SP-P8.4: AN UNCERTAINTY DECODING APPROACH TO NOISE- AND REVERBERATION-ROBUST SPEECH RECOGNITION
Roland Maas, University of Erlangen-Nuremberg, Germany; Akshaya Thippur, KTH Royal Institute of Technology, Sweden; Armin Sehr, Beuth University of Applied Sciences Berlin, Germany; Walter Kellermann, University of Erlangen-Nuremberg, Germany
SP-P8.5: BAYESIAN LATENT VARIABLE MODELS FOR SPEECH RECOGNITION
Jen-Tzung Chien, National Chiao Tung University, Taiwan; Peng Liu, Sohu.com Inc., China
SP-P8.6: AN INVESTIGATION OF DEEP NEURAL NETWORKS FOR NOISE ROBUST SPEECH RECOGNITION
Michael Seltzer, Dong Yu, Microsoft Research, United States; Yongqiang Wang, Cambridge University, United Kingdom
SP-P8.7: MODELING HETEROGENEOUS DATA SOURCES FOR SPEECH RECOGNITION USING SYNCHRONOUS HIDDEN MARKOV MODELS
Yong Zhao, Biing-Hwang (Fred) Juang, Georgia Institute of Technology, United States
SP-P8.8: NOISE ADAPTIVE FRONT-END NORMALIZATION BASED ON VECTOR TAYLOR SERIES FOR DEEP NEURAL NETWORKS IN ROBUST SPEECH RECOGNITION
Bo Li, Khe Chai Sim, National University of Singapore, Singapore
SP-P8.9: PREDICTING SPEECH RECOGNITION CONFIDENCE USING DEEP LEARNING WITH WORD IDENTITY AND SCORE FEATURES
Po-Sen Huang, University of Illinois at Urbana-Champaign, United States; Kshitiz Kumar, Chaojun Liu, Yifan Gong, Microsoft Corporation, United States; Li Deng, Microsoft Research, United States
SP-P8.10: ASR ERROR DETECTION IN A CONVERSATIONAL SPOKEN LANGUAGE TRANSLATION SYSTEM
Wei Chen, Sankaranarayanan Ananthakrishnan, Rohit Kumar, Rohit Prasad, Prem Natarajan, Raytheon BBN Technologies, United States
SP-P8.11: MEAN TEMPORAL DISTANCE: PREDICTING ASR ERROR FROM TEMPORAL PROPERTIES OF SPEECH SIGNAL
Hynek Hermansky, Ehsan Variani, Vijayaditya Peddinti, Johns Hopkins University, United States
SP-P8.12: FEATURE EXTRACTION WITH A MULTISCALE MODULATION ANALYSIS FOR ROBUST AUTOMATIC SPEECH RECOGNITION
Florian Mueller, Alfred Mertins, University of Luebeck, Germany
SP-P8.13: JOINT ANALYSIS OF VOCAL TRACT LENGTH AND TEMPORAL INFORMATION FOR ROBUST SPEECH RECOGNITION
Chien-Lin Huang, Chiori Hori, Hideki Kashioka, National Institute of Information and Communications Technology, Japan; Bin Ma, Institute for Infocomm Research, Singapore
SP-P8.14: DOUBLE PITCH MARKS IN DIPLOPHONIC VOICE
Philipp Aichinger, Berit Schneider-Stickler, Wolfgang Bigenzahn, Medical University of Vienna, Austria; Anna Katharina Fuchs, Bernhard Geiger, Martin Hagmüller, Gernot Kubin, Graz University of Technology, Austria
SP-P9.1: SUBBAND MODULATOR KALMAN FILTERING FOR SINGLE CHANNEL SPEECH ENHANCEMENT
Rizwan Ishaq, Begoña García Zapirain, University of Deusto, Spain; Muhammad Shahid, Benny Lövström, Blekinge Institute of Technology, Sweden
SP-P9.2: NOISE ROBUST SPEECH DEREVERBERATION WITH KALMAN SMOOTHER
Masahito Togami, Yohei Kawaguchi, Hitachi, Ltd., Japan
SP-P9.3: COMPUTATIONALLY EFFICIENT SINGLE CHANNEL DEREVERBERATION BASED ON COMPLEMENTARY WIENER FILTER
Kazunobu Kondo, Yu Takahashi, Yamaha Corporation, Japan; Tatsuya Komatsu, Nagoya University, Japan; Takanori Nishino, Mie University, Japan; Kazuya Takeda, Nagoya University, Japan
SP-P9.4: SPEECH ENHANCEMENT USING A ROBUST KALMAN FILTER POST-PROCESSOR IN THE MODULATION DOMAIN
Yu Wang, Mike Brookes, Imperial College London, United Kingdom
SP-P9.5: ON PHASE IMPORTANCE IN PARAMETER ESTIMATION IN SINGLE-CHANNEL SPEECH ENHANCEMENT
Pejman Mowlaee, Graz University of Technology, Austria; Rahim Saeidi, Radboud University Nijmegen, Netherlands
SP-P9.6: SPEECH ENHANCEMENT USING GENERALIZED MAXIMUM A POSTERIORI SPECTRAL AMPLITUDE ESTIMATOR
Yu-Cheng Su, Yu Tsao, Academia Sinica, Taiwan; Jung-En Wu, Georgia Institute of Technology, United States; Fu-Rong Jean, National Taipei University of Technology, Taiwan
SP-P9.7: FEATURE DENOISING FOR SPEECH SEPARATION IN UNKNOWN NOISY ENVIRONMENTS
Yuxuan Wang, DeLiang Wang, The Ohio State Univeristy, United States
SP-P9.8: IMPROVED SINGLE-CHANNEL NONSTATIONARY NOISE TRACKING BY AN OPTIMIZED MAP-BASED POSTPROCESSOR
Aleksej Chinaev, Reinhold Haeb-Umbach, University of Paderborn, Germany; Jalal Taghia, Rainer Martin, Ruhr-Universität Bochum, Germany
SP-P9.9: ONLINE INTER-FRAME CORRELATION ESTIMATION METHODS FOR SPEECH ENHANCEMENT IN FREQUENCY SUBBANDS
Alexander Schasse, Rainer Martin, Ruhr-Universität Bochum, Germany
SP-P9.10: PHASE RANDOMIZATION - A NEW PARADIGM FOR SINGLE-CHANNEL SIGNAL ENHANCEMENT
Akihiko Sugiyama, NEC Corporation, Japan; Ryoji Miyahara, NECE Engineering Ltd., Japan
SP-P9.11: LEARNING INVARIANT FEATURES FOR SPEECH SEPARATION
Kun Han, DeLiang Wang, The Ohio State University, United States
SP-P9.12: A NOVEL BINARY MASK ESTIMATOR BASED ON SPARSE APPROXIMATION
Abigail Kressner, David Anderson, Christopher Rozell, Georgia Institute of Technology, United States
SP-P9.13: INCORPORATING DYNAMIC TRACK INFORMATION FOR ALL-POLE PARAMETER ESTIMATION IN NOISE
Ruofei Chen, Cheung-Fat Chan, City University of Hong Kong, Hong Kong SAR of China
SP-P9.14: SPEECH BANDWIDTH EXTENSION BASED ON IN-BAND TRANSMISSION OF HIGHER FREQUENCIES
Bernd Geiser, Peter Vary, RWTH Aachen University, Germany
SP-P10.1: BHATTACHARYYA DISTANCE BASED EMOTIONAL DISSIMILARITY MEASURE FOR EMOTION CLASSIFICATION
Tin Lay Nwe, Nguyen Trung Hieu, Dilip Kumar Limbu, Institute for Infocomm Research, Singapore
SP-P10.2: VOICE-BASED SADNESS AND ANGER RECOGNITION WITH CROSS-CORPORA EVALUATION
Orith Toledo-Ronen, Alexander Sorin, IBM, Israel
SP-P10.3: SPEAKER VARIABILITY IN SPEECH BASED EMOTION MODELS - ANALYSIS AND NORMALISATION
Vidhyasaharan Sethu, Julien Epps, Eliathamby Ambikairajah, The University of New South Wales, Australia
SP-P10.4: MULTIPLE WINDOWED SPECTRAL FEATURES FOR EMOTION RECOGNITION
Yazid Attabi, Md Jahangir Alam, Centre de Recherche Informatique de Montréal (CRIM), Canada; Pierre Dumouchel, École de Technologie Supérieure (ÉTS), Canada; Patrick Kenny, Centre de Recherche Informatique de Montréal (CRIM), Canada; Douglas O'Shaughnessy, INRS-Telecommunications, Canada
SP-P10.5: ESTIMATION OF VOCAL TRACT PARAMETERS FOR THE CLASSIFICATION OF SPEECH UNDER STRESS
Xiao Yao, Nagoya University, Japan; Takatoshi Jitsuhiro, Aichi University of Technology, Japan; Chiyomi Miyajima, Norihide Kitaoka, Kazuya Takeda, Nagoya University, Japan
SP-P10.6: AUTOMATIC DETECTION OF ANGER IN TELEPHONE SPEECH WITH ROBUST AUTOREGRESSIVE MODULATION FILTERING
Jouni Pohjalainen, Paavo Alku, Aalto University, Finland
SP-P10.7: SPECTRO-TEMPORAL ANALYSIS OF SPEECH AFFECTED BY DEPRESSION AND PSYCHOMOTOR RETARDATION
Nicholas Cummins, Julien Epps, Eliathamby Ambikairajah, University of New South Wales, Australia
SP-P10.8: DETECTING DEPRESSION:A COMPARISON BETWEEN SPONTANEOUS AND READ SPEECH
Sharifa Alghowinem, Australian National University, Australia; Roland Goecke, Michael Wagner, University of Canberra, Australia; Julien Epps, University of New South Wales, Australia; Michael Breakspear, Queensland Institute of Medical Research, Australia; Gordon Parker, University of New South Wales, Australia
SP-P10.9: SPEAKER HEIGHT ESTIMATION COMBINING GMM AND LINEAR REGRESSION SUBSYSTEMS
Keri Williams, John H.L. Hansen, The University of Texas at Dallas, United States
SP-P10.10: DETECTION OF NONLINGUISTIC VOCALIZATIONS USING ALISP SEQUENCING
Sathish Pammi, Houssemeddine Khemiri, Institut Mines-Telecom / Telecom ParisTech / CNRS LTCI, France; Dijana Petrovska-Delacrétaz, Institut Mines-Telecom / Telecom SudParis / CNRS SAMOVAR, France; Gérard Chollet, Institut Mines-Telecom / Telecom ParisTech / CNRS LTCI, France
SP-P10.11: SELECTING DISORDER-SPECIFIC FEATURES FOR SPEECH PATHOLOGY FINGERPRINTING
Visar Berisha, Steven Sandoval, Rene Utianski, Julie Liss, Andreas Spanias, Arizona State University, United States
SP-P10.12: VERY EARLY DETECTION OF AUTISM SPECTRUM DISORDERS BASED ON ACOUSTIC ANALYSIS OF PRE-VERBAL VOCALIZATIONS OF 18-MONTH OLD TODDLERS
João F. Santos, Institute National de la Recherche Scientifique, Canada; Nirit Brosh, Holland Bloorview Kids Rehabilitation Hospital, Canada; Tiago H. Falk, Institute National de la Recherche Scientifique, Canada; Lonnie Zwaigenbaum, University of Alberta, Canada; Susan E. Bryson, Dalhousie University, Canada; Wendy Roberts, University of Toronto, Canada; Isabel M. Smith, Dalhousie University, Canada; Peter Szatmari, McMaster University, Canada; Jessica A. Brian, Holland Bloorview Kids Rehabilitation Hospital, Canada
SP-P10.13: AUTOMATIC PHONEME ANALYSIS IN CHILDREN WITH CLEFT LIP AND PALATE
Tobias Bocklet, Korbinian Riedhammer, University of Erlangen-Nuremberg, Germany; Ulrich Eysholdt, University Hospital Erlangen, Germany; Elmar Noeth, University of Erlangen-Nuremberg, Germany
SP-P10.14: USING ISOLATED VOWEL SOUNDS FOR CLASSIFICATION OF MILD TRAUMATIC BRAIN INJURY
Michael Falcone, Youngstown State University, United States; Nikhil Yadav, Christian Poellabauer, Patrick Flynn, University of Notre Dame, United States
SP-P11.1: MULTIFRAME DEEP NEURAL NETWORKS FOR ACOUSTIC MODELING
Vincent Vanhoucke, Matthieu Devin, Georg Heigold, Google Inc., United States
SP-P11.2: INVESTIGATION OF TANDEM DEEP BELIEF NETWORK APPROACH FOR PHONEME RECOGNITION
Xin Zheng, Zhiyong Wu, Binbin Shen, Tsinghua University, China; Helen Meng, The Chinese University of Hong Kong, China; Lianhong Cai, Tsinghua University, China
SP-P11.3: USING MULTIPLE VERSIONS OF SPEECH INPUT IN PHONE RECOGNITION
Mark Liberman, Jiahong Yuan, University of Pennsylvania, United States; Andreas Stolcke, Microsoft Research, United States; Wen Wang, Vikramjit Mitra, SRI International, United States
SP-P11.4: AUDIO-VISUAL DEEP LEARNING FOR NOISE ROBUST SPEECH RECOGNITION
Jing Huang, Brian Kingsbury, IBM, United States
SP-P11.5: INVESTIGATION OF DEEP BOLTZMANN MACHINES FOR PHONE RECOGNITION
Zhao You, Xiaorui Wang, Bo Xu, Institute of Automation, Chinese Academy of Sciences, China
SP-P11.6: FEATURE AND SCORE LEVEL COMBINATION OF SUBSPACE GAUSSINAS IN LVCSR TASK
Petr Motlicek, Idiap Research Institute, Switzerland; Daniel Povey, Johns Hopkins University, United States; Martin Karafiat, Brno University of Technology, Czech Republic
SP-P11.7: UPPER AND LOWER BOUNDS FOR APPROXIMATION OF THE KULLBACK-LEIBLER DIVERGENCE BETWEEN HIDDEN MARKOV MODELS
Haiyang Li, Jiqing Han, Tieran Zheng, Guibin Zheng, Harbin Institute of Technology, China
SP-P11.8: UNDERSTANDING THE DROPOUT STRATEGY AND ANALYZING ITS EFFECTIVENESS ON LVCSR
Jie Li, Xiaorui Wang, Bo Xu, Institute of Automation, Chinese Academy of Sciences, China
SP-P11.9: EFFICIENT DECODING WITH GENERATIVE SCORE-SPACES USING THE EXPECTATION SEMIRING
Rogier van Dalen, Anton Ragni, Mark J.F. Gales, University of Cambridge, United Kingdom
SP-P11.10: IDENTIFICATION AND MODELING OF WORD FRAGMENTS IN SPONTANEOUS SPEECH
Yulia Tsvetkov, Zaid Sheikh, Florian Metze, Carnegie Mellon University, United States
SP-P11.11: LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION BASED ON WFST STRUCTURED CLASSIFIERS AND DEEP BOTTLENECK FEATURES
Yotaro Kubo, Takaaki Hori, Atsushi Nakamura, Nippon Telegraph and Telephone Corporation, Japan
SP-P11.12: DEEP NEURAL NETWORKS WITH AUXILIARY GAUSSIAN MIXTURE MODELS FOR REAL-TIME SPEECH RECOGNITION
Xin Lei, Hui Lin, Georg Heigold, Google Inc., United States
SP-P12.1: DIFFUSION MAPS FOR PLDA-BASED SPEAKER VERIFICATION
Oren Barkan, Tel Aviv University / IBM Research - Haifa, Israel; Hagai Aronowitz, IBM Haifa Research Labs, Israel
SP-P12.2: PROBABILISTIC LINEAR DISCRIMINANT ANALYSIS OF I-VECTOR POSTERIOR DISTRIBUTIONS
Sandro Cumani, Oldrich Plchot, Brno University of Technology, Czech Republic; Pietro Laface, Politecnico di Torino, Italy
SP-P12.3: PLDA FOR SPEAKER VERIFICATION WITH UTTERANCES OF ARBITRARY DURATION
Patrick Kenny, Themos Stafylakis, Pierre Ouellet, CRIM, Canada; Md Jahangir Alam, Centre de Recherche Informatique de Montréal (CRIM), Canada; Pierre Dumouchel, CRIM, Canada
SP-P12.4: LATTICE MLLR BASED M-VECTOR SYSTEM FOR SPEAKER VERIFICATION
Achintya Kumar Sarkar, Claude Barras, Université Paris-Sud (XI), France; Viet Bac Le, Parc Orsay Universit´e, France
SP-P12.5: DISCRIMINATIVELY TRAINED BAYESIAN SPEAKER COMPARISON OF I-VECTORS
Bengt Borgstrom, Massachusetts Institute of Technology, Lincoln Laboratory, United States; Alan McCree, Johns Hopkins University, United States
SP-P12.6: DURATION MISMATCH COMPENSATION FOR I-VECTOR BASED SPEAKER RECOGNITION SYSTEMS
Taufiq Hasan, The University of Texas at Dallas, United States; Rahim Saeidi, Radboud University Nijmegen, Netherlands; John H.L. Hansen, The University of Texas at Dallas, United States; David Van Leeuwen, Radboud University Nijmegen, Netherlands
SP-P12.7: THE IITG SPEAKER VERIFICATION SYSTEMS FOR NIST SRE 2012
Haris B C, Gayadhar Pradhan, Rohit Sinha, S R Mahadeva Prasanna, Indian Institute of Technology Guwahati, India
SP-P12.8: PHONETICALLY-CONSTRAINED PLDA MODELING FOR TEXT-DEPENDENT SPEAKER VERIFICATION WITH MULTIPLE SHORT UTTERANCES
Anthony Larcher, Kong Aik Lee, Bin Ma, Haizhou Li, Institute for Infocomm Research, Singapore
SP-P12.9: AN EFFICIENT IMPLEMENTATION OF PROBABILISTIC LINEAR DISCRIMINANT ANALYSIS
Lukas Machlica, Zbynek Zajic, University of West Bohemia, Czech Republic
SP-P12.10: A STUDY ON GMM-SVM WITH ADAPTIVE RELEVANCE FACTOR AND ITS COMPARISON WITH I-VECTOR AND JFA FOR SPEAKER RECOGNITION
Changhuai You, Haizhou Li, Bin Ma, Kong Aik Lee, Institute for Infocomm Research, Singapore
SP-P12.11: ANTI-MODEL KL-SVM-NAP SYSTEM FOR NIST SRE 2012 EVALUATION
Hanwu Sun, Kong Aik Lee, Bin Ma, Institute for Infocomm Research, Singapore
SP-P12.12: SUPERVECTOR BAYESIAN SPEAKER COMPARISON
Bengt Borgstrom, Massachusetts Institute of Technology, Lincoln Laboratory, United States; Alan McCree, Johns Hopkins University, United States
SP-P12.13: UNIFYING PLDA AND POLYNOMIAL KERNEL SVMS
Sibel Yaman, Jason Pelecanos, Weizhong Zhu, IBM T.J. Watson Research Center, United States
SP-P12.14: LIKELIHOOD-RATIO EMPIRICAL KERNELS FOR I-VECTOR BASED PLDA-SVM SCORING
Man-Wai Mak, Wei Rao, The Hong Kong Polytechnic University, Hong Kong SAR of China
SP-P13.1: IMPACT OF OVERLAPPING SPEECH DETECTION ON SPEAKER DIARIZATION FOR BROADCAST NEWS AND DEBATES
Delphine Charlet, Orange Labs, France; Claude Barras, Jean-Sylvain Lienard, LIMSI, France
SP-P13.2: EFFICIENT ITERATIVE MEAN SHIFT BASED COSINE DISSIMILARITY FOR MULTI-RECORDING SPEAKER CLUSTERING
Mohammed Senoussaoui, École de Technologie Supérieure / Centre de Recherche Informatique de Montréal, Canada; Patrick Kenny, Centre de Recherche Informatique de Montréal (CRIM), Canada; Pierre Dumouchel, École de Technologie Supérieure (ÉTS), Canada; Themos Stafylakis, École de Technologie Supérieure / Centre de Recherche Informatique de Montréal, Canada
SP-P13.3: LARGE-SCALE COMMUNITY DETECTION ON SPEAKER CONTENT GRAPHS
Stephen Shum, Massachusetts Institute of Technology, CSAIL, United States; William Campbell, Douglas Reynolds, Massachusetts Institute of Technology, Lincoln Laboratory, United States
SP-P13.4: LINK PREDICTION METHODS FOR GENERATING SPEAKER CONTENT GRAPHS
Kara Greenfield, William Campbell, Massachusetts Institute of Technology, Lincoln Laboratory, United States
SP-P13.5: CLUSTERING SIMILAR ACOUSTIC CLASSES IN THE FISHERVOICE FRAMEWORK
Na Li, Northwestern Polytechnical University, China; Weiwu Jiang, Helen Meng, The Chinese University of Hong Kong, Hong Kong SAR of China; Zhifeng Li, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
SP-P13.6: COMPENSATION FOR INTER-FRAME CORRELATIONS IN SPEAKER DIARIZATION AND RECOGNITION
Themos Stafylakis, Patrick Kenny, Vishwa Gupta, CRIM, Canada; Pierre Dumouchel, ETS, CRIM, Canada
SP-P13.7: SPEAKER DIARIZATION USING DATA-DRIVEN AUDIO SEQUENCING
Houssemeddine Khemiri, Mines-Télécom ParisTech/CNRS-LTCI, France; Dijana Petrovska-Delacrétaz, Mines-Télécom SudParis/CNRS-SAMOVAR, France; Gérard Chollet, Mines-Télécom ParisTech/CNRS-LTCI, France
SP-P13.8: WHERE ARE THE CHALLENGES IN SPEAKER DIARIZATION?
Mark Sinclair, Simon King, The University of Edinburgh, United Kingdom
SP-P13.9: IMPROVED OVERLAP SPEECH DIARIZATION OF MEETING RECORDINGS USING LONG-TERM CONVERSATIONAL FEATURES
Sree Harsha Yella, Hervé Bourlard, Idiap Research Institute, Switzerland
SP-P13.10: IMPROVED ESTIMATION OF FEMININITY USING GMM SUPERVECTORS AND SVR FOR VOICE THERAPY OF GENDER IDENTITY DISORDER CLIENTS
Chengshuo Wang, Masayuki Suzuki, Nobuaki Minematsu, The University of Tokyo, Japan; Kyoko Sakuraba, Hospital of Dokkyo Medical University, Japan; Keikichi Hirose, The University of Tokyo, Japan
SP-P13.11: AN INVESTIGATION ON BACK-END FOR SPEAKER RECOGNITION IN MULTI-SESSION ENROLLMENT
Gang Liu, Taufiq Hasan, Hynek Boril, John H.L. Hansen, The University of Texas at Dallas, United States
SP-P13.12: EMOTIONAL SPEAKER RECOGNITION BASED ON I-VECTOR THROUGH ATOM ALIGNED SPARSE REPRESENTATION
Li Chen, Yingchun Yang, Zhejiang University, China
SP-P13.13: OPTIMIZATION OF THE DET CURVE IN SPEAKER VERIFICATION UNDER NOISY CONDITIONS
Leibny Paola Garcia Perera, Tecnologico de Monterrey, Campus Monterrey, Mexico; Bhiksha Raj, Carnegie Mellon University, United States; Juan Arturo Nolazco Flores, Tecnologico de Monterrey, Campus Monterrey, Mexico
SP-P13.14: PROF-LIFE-LOG: PERSONAL INTERACTION ANALYSIS FOR NATURALISTIC AUDIO STREAMS
Ali Ziaei, Abhijeet Sangwan, John H.L. Hansen, The University of Texas at Dallas-CRSS, United States
SP-P14.1: HUMAN SPEAKER IDENTIFICATION OF KNOWN VOICES TRANSMITTED THROUGH DIFFERENT USER INTERFACES AND TRANSMISSION CHANNELS
Laura Fernández Gallardo, Telekom Innovation Laboratories, Technische Universität Berlin, and University of Canberra, Australia; Sebastian Möller, Telekom Innovation Laboratories, Technische Universität Berlin, Germany; Michael Wagner, University of Canberra, Australia
SP-P14.2: A CINE MRI-BASED STUDY OF SIBILANT FRICATIVES PRODUCTION IN POST-GLOSSECTOMY SPEAKERS
Xinhui Zhou, University of Maryland, College Park, United States; Jonghye Woo, Maureen Stone, University of Maryland Dental School, United States; Carol Espy-Wilson, University of Maryland, College Park, United States
SP-P14.3: INDIVIDUAL ARTICULATOR'S CONTRIBUTION TO PHONEME PRODUCTION
Jun Wang, The University of Texas at Dallas, United States; Jordan R. Green, MGH Institute of Health Professions, United States; Ashok Samal, University of Nebraska-Lincoln, United States
SP-P14.4: NON-NEGATIVE MATRIX FACTORIZATION ON THE ENVELOPE MATRIX IN COCHLEAR IMPLANT
Hongmei Hu, Jinqiu Sang, Mark Lutman, Stefan Bleeck, University of Southampton, United Kingdom
SP-P14.5: ANALYSIS AND MODELING OF ENTRAINMENT IN CHORUS SINGING
Motonari Kawagishi, Shota Kawabuchi, Chiyomi Miyajima, Norihide Kitaoka, Kazuya Takeda, Nagoya University, Japan
SP-P14.6: AN EXPERIMENTAL FRAMEWORK FOR THE DERIVATION OF PERCEPTUALLY-OPTIMAL NOISE SUPPRESSION FUNCTIONS
Adrien Daniel, EURECOM, France; Ludovick Lepauloux, Intel, France; Christelle Yemdji, Nicholas Evans, EURECOM, France; Christophe Beaugeant, Intel, France
SP-P14.7: USING BINAURAL PROCESSING FOR AUTOMATIC SPEECH RECOGNITION IN MULTI-TALKER SCENES
Constantin Spille, Mathias Dietz, Volker Hohmann, Bernd T. Meyer, Carl-von-Ossietzky Universität Oldenburg, Germany
SP-P14.8: CONTRIBUTIONS OF THE HIGH-RMS-LEVEL SEGMENTS TO THE INTELLIGIBILITY OF MANDARIN SENTENCES
Fei Chen, Lena L. N. Wong, The University of Hong Kong, Hong Kong SAR of China
SP-P14.9: A COMPARATIVE STUDY OF PITCH EXTRACTION ALGORITHMS ON A LARGE VARIETY OF SINGING SOUNDS
Onur Babacan, Thomas Drugman, Nicolas d’Alessandro, University of Mons, Belgium; Nathalie Henrich, French National Center for Scientific Research, France; Thierry Dutoit, University of Mons, Belgium
SP-P14.10: NON-INTRUSIVE OBJECTIVE SPEECH QUALITY AND INTELLIGIBILITY PREDICTION FOR HEARING INSTRUMENTS IN COMPLEX LISTENING ENVIRONMENTS
Tiago H. Falk, Institut National de la Recherche Scientifique (INRS), Canada; Stefano Cosentino, University College London, United Kingdom; João F. Santos, Institut National de la Recherche Scientifique (INRS), Canada; David Suelzle, Vijay Parsa, University of Western Ontario, Canada
SP-P15.1: MODELING SPECTRAL ENVELOPES USING RESTRICTED BOLTZMANN MACHINES FOR STATISTICAL PARAMETRIC SPEECH SYNTHESIS
Zhen-Hua Ling, University of Science and Technology of China, China; Li Deng, Dong Yu, Microsoft Research, United States
SP-P15.2: COMPARING GLOTTAL-FLOW-EXCITED STATISTICAL PARAMETRIC SPEECH SYNTHESIS METHODS
Tuomo Raitio, Aalto University, Finland; Antti Suni, Martti Vainio, University of Helsinki, Finland; Paavo Alku, Aalto University, Finland
SP-P15.3: EVALUATION OF HMM-BASED LAUGHTER SYNTHESIS
Jerome Urbain, Huseyin Cakmak, Thierry Dutoit, University of Mons, Belgium
SP-P15.4: ENHANCEMENT OF SPECTRAL CLARITY FOR HMM-BASED TEXT-TO-SPEECH SYSTEMS
Young-Sun Joo, Chi-Sang Jung, Hong-Goo Kang, Yonsei University, Republic of Korea
SP-P15.5: PERSONALIZED NATURAL SPEECH SYNTHESIS BASED ON RETRIEVAL OF PITCH PATTERNS USING HIERARCHICAL FUJISAKI MODEL
Yi-Chin Huang, Chung-Hsien Wu, Shih-Lun Lin, National Chung Kung University, Taiwan
SP-P15.7: FACTORIZED CONTEXT MODELLING FOR TEXT-TO-SPEECH SYNTHESIS
Heng Lu, Simon King, University of Edinburgh, United Kingdom
SP-P15.8: IMPROVING INTELLIGIBILITY IN NOISE OF HMM-GENERATED SPEECH VIA NOISE-DEPENDENT AND -INDEPENDENT METHODS
Cassia Valentini-Botinhao, University of Edinburgh, United Kingdom; Elizabeth Godoy, Yannis Stylianou, Foundation for Research and Technology - Hellas, Greece; Bastian Sauert, RWTH Aachen University, Germany; Simon King, Junichi Yamagishi, University of Edinburgh, United Kingdom
SP-P15.9: HMM-BASED EXPRESSIVE SPEECH SYNTHESIS BASED ON PHRASE-LEVEL F0 CONTEXT LABELING
Yu Maeno, Takashi Nose, Takao Kobayashi, Tomoki Koriyama, Tokyo Institute of Technology, Japan; Yusuke Ijima, Hideharu Nakajima, Hideyuki Mizuno, Osamu Yoshioka, Nippon Telegraph and Telephone Corporation, Japan
SP-P15.10: SPEAKER-INDEPENDENT STYLE CONVERSION FOR HMM-BASED EXPRESSIVE SPEECH SYNTHESIS
Hiroki Kanagawa, Takashi Nose, Takao Kobayashi, Tokyo Institute of Technology, Japan
SP-P15.11: FAST, LOW-ARTIFACT SPEECH SYNTHESIS CONSIDERING GLOBAL VARIANCE
Matt Shannon, William Byrne, University of Cambridge, United Kingdom
SP-P15.12: PHONEME VARIATION BASED SYNTHESIZED SPEECH DISCRIMINATION FOR SPEAKER VERIFICATION
LianWu Chen, Dolby Laboratories, China; Wu Guo, Yan Song, Li-Rong Dai, University of Science and Technology of China, China
SP-P15.13: CONTEXTUAL PARTIAL ADDITIVE STRUCTURE FOR HMM-BASED SPEECH SYNTHESIS
Shinji Takaki, Yoshihiko Nankaku, Keiichi Tokuda, Nagoya Institute of Technology, Japan
SP-P15.14: INTEGRATION OF ACOUSTIC MODELING AND MEL-CEPSTRAL ANALYSIS FOR HMM-BASED SPEECH SYNTHESIS
Kazuhiro Nakamura, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda, Nagoya Institute of Technology, Japan
SP-P16.1: UNSUPERVISED DISCRIMINATIVE ADAPTATION USING DIFFERENCED MAXIMUM MUTUAL INFORMATION BASED LINEAR REGRESSION
Marc Delcroix, Atsunori Ogawa, Seong-Jun Hahm, Tomohiro Nakatani, Atsushi Nakamura, Nippon Telegraph and Telephone Corporation, Japan
SP-P16.2: KL-DIVERGENCE REGULARIZED DEEP NEURAL NETWORK ADAPTATION FOR IMPROVED LARGE VOCABULARY SPEECH RECOGNITION
Dong Yu, Microsoft Research, United States; Kaisheng Yao, Microsoft Corporation, United States; Hang Su, Gang Li, Frank Seide, Microsoft Research Asia, China
SP-P16.3: FEATURE SPACE VARIATIONAL BAYESIAN LINEAR REGRESSION AND ITS COMBINATION WITH MODEL SPACE VBLR
Seong-Jun Hahm, Atsunori Ogawa, Marc Delcroix, Masakiyo Fujimoto, Takaaki Hori, Atsushi Nakamura, Nippon Telegraph and Telephone Corporation, Japan
SP-P16.4: RAPID ADAPTATION FOR MOBILE SPEECH APPLICATIONS
Michiel Bacchiani, Google Inc., United States
SP-P16.5: TEMPORAL FILTER DESIGN BY MINIMUM KL DIVERGENCE CRITERION FOR ROBUST SPEECH RECOGNITION
Xiong Xiao, Eng-Siong Chng, Nanyang Technological University, Singapore; Haizhou Li, Institute for Infocomm Research, Singapore
SP-P16.6: SPEAKER ADAPTIVE KULLBACK-LEIBLER DIVERGENCE BASED HIDDEN MARKOV MODELS
David Imseng, Hervé Bourlard, Idiap Research Institute, Switzerland
SP-P16.7: UNSUPERVISED ADAPTATION WITHOUT ESTIMATED TRANSRIPTIONS
Hyeopwoo Lee, Dongsuk Yook, Speech Information Processing Laboratory, Korea University, Republic of Korea
SP-P16.8: NON-LINEAR FREQUENCY WARPING FOR VTLN USING SUBGLOTTAL RESONANCES AND THE THIRD FORMANT FREQUENCY
Harish Arsikere, University of California, Los Angeles, United States; Steven M. Lulich, Indiana University, Bloomington, United States; Abeer Alwan, University of California, Los Angeles, United States
SP-P16.9: LEARNING DISCRIMINATIVE BASIS COEFFICIENTS FOR EIGENSPACE MLLR UNSUPERVISED ADAPTATION
Yajie Miao, Florian Metze, Alex Waibel, Carnegie Mellon University, United States
SP-P16.10: TANDEM SYSTEM ADAPTATION USING MULTIPLE LINEAR FEATURE TRANSFORMS
Yongqiang Wang, Mark J.F. Gales, Cambridge University, United Kingdom
SP-P16.11: PHONETIC SUBSPACE ADAPTATION FOR AUTOMATIC SPEECH RECOGNITION
Sina Hamidi Ghalehjegh, Richard Rose, McGill University, Canada
SP-P16.12: FAST SPEAKER ADAPTATION OF HYBRID NN/HMM MODEL FOR SPEECH RECOGNITION BASED ON DISCRIMINATIVE LEARNING OF SPEAKER CODE
Ossama Abdel-Hamid, Hui Jiang, York University, Canada
SP-P16.13: SPEAKER ADAPTATION OF CONTEXT DEPENDENT DEEP NEURAL NETWORKS
Liao Hank, Google Inc., United States
SP-P17.1: ARTICULATORY INVERSION AND SYNTHESIS: TOWARDS ARTICULATORY-BASED MODIFICATION OF SPEECH
Sandesh Aryal, Ricardo Gutierrez-Osuna, Texas A&M University, United States
SP-P17.2: A FAST TABLE LOOKUP BASED, STATISTICAL MODEL DRIVEN NON-UNIFORM UNIT SELECTION TTS
Yao Qian, Frank Soong, Xiaobo Zhou, Yundi Qian, Xiaotian Zhang, Microsoft Research Asia, China
SP-P17.3: STATISTICAL PARAMETRIC SPEECH SYNTHESIS USING DEEP NEURAL NETWORKS
Heiga Zen, Andrew Senior, Mike Schuster, Google Inc., United Kingdom
SP-P17.4: PREDICTION OF CREAKY VOICE FROM CONTEXTUAL FACTORS
Thomas Drugman, University of Mons, Belgium; John Kane, Trinity College Dublin, Ireland; Tuomo Raitio, Aalto University, Finland; Christer Gobl, Trinity College Dublin, Ireland
SP-P17.5: COMPLEX CEPSTRUM ANALYSIS BASED ON THE MINIMUM MEAN SQUARED ERROR
Ranniery Maia, Toshiba Research Europe Ltd., United Kingdom; Masami Akamine, Toshiba Corporation, Japan; Mark J.F. Gales, Toshiba Research Europe Ltd., United Kingdom
SP-P17.6: INTEGRATED AUTOMATIC EXPRESSION PREDICTION AND SPEECH SYNTHESIS FROM TEXT
Langzhou Chen, Mark J.F. Gales, Norbert Braunschweiler, Toshiba Research Europe Ltd., United Kingdom; Masami Akamine, Corporate Research and Development Center, Japan; Kate Knill, Engineering Department, United Kingdom
SP-P17.7: SPEAKER AND LANGUAGE INDEPENDENT VOICE QUALITY CLASSIFICATION APPLIED TO UNLABELLED CORPORA OF EXPRESSIVE SPEECH
John Kane, Trinity College Dublin, Ireland; Scherer Stefan, University of Southern California, United States; Matthew Aylett, CereProc Ltd., United Kingdom; Louis-Philippe Morency, University of Southern California, United States; Christer Gobl, Trinity College Dublin, Ireland
SP-P17.8: LIGHTLY SUPERVISED GMM VAD TO USE AUDIOBOOK FOR SPEECH SYNTHESISER
Yoshitaka Mamiya, Junichi Yamagishi, Oliver Watts, Robert Clark, Simon King, University of Edinburgh, United Kingdom; Adriana Stan, Technical University of Cluj-Napoca, Romania
SP-P17.9: BOOTSTRAPPING TEXT-TO-SPEECH FOR SPEECH PROCESSING IN LANGUAGES WITHOUT AN ORTHOGRAPHY
Sunayana Sitaram, Sukhada Palkar, Yun-Nung Chen, Alok Parlikar, Alan W. Black, Carnegie Mellon University, United States
SP-P17.10: MAXIMUM INTELLIGIBILITY-BASED CLOSE-LOOP SPEECH SYNTHESIS FRAMEWORK FOR NOISY ENVIRONMENTS
Yuan-Fu Liao, Ming-Long Wu, Jia-Chi Lin, National Taipei University of Technology, Taiwan
SP-P17.11: SPEECH SYNTHESIS USING SUBBAND-CODED MULTIBAND SOURCE COMPONENTS AND SINUSOIDS
Nobuyuki Nishizawa, Tsuneo Kato, KDDI R&D Laboratories, Inc., Japan
SP-P17.12: FRAME-LEVEL ACOUSTIC MODELING BASED ON GAUSSIAN PROCESS REGRESSION FOR STATISTICAL NONPARAMETRIC SPEECH SYNTHESIS
Tomoki Koriyama, Takashi Nose, Takao Kobayashi, Tokyo Institute of Technology, Japan
SP-P17.13: MULTI-DISTRIBUTION DEEP BELIEF NETWORK FOR SPEECH SYNTHESIS
Shiyin Kang, Xiaojun Qian, Helen Meng, The Chinese University of Hong Kong, Hong Kong SAR of China
SP-P18.1: ESTIMATING PHONEME FORMANT TARGETS AND COARTICULATION PARAMETERS OF CONVERSATIONAL AND CLEAR SPEECH
Brian Bush, Alexander Kain, Oregon Health & Science University, United States
SP-P18.2: A COMPARATIVE STUDY OF DIFFERENT CLASSIFIERS FOR DETECTING DEPRESSION FROM SPONTANEOUS SPEECH
Sharifa Alghowinem, Australian National University, Australia; Roland Goecke, Michael Wagner, University of Canberra, Australia; Julien Epps, University of New South Wales, Australia; Tom Gedeon, Australian National University, Australia; Michael Breakspear, Queensland Institute of Medical Research, Australia; Gordon Parker, University of New South Wales, Australia
SP-P18.3: SPEAKER IDENTIFICATION FROM SHOUTED SPEECH: ANALYSIS AND COMPENSATION
Cemal Hanilci, Uludag University, Turkey; Tomi Kinnunen, University of Eastern Finland, Finland; Rahim Saeidi, Radboud University Nijmegen, Netherlands; Jouni Pohjalainen, Paavo Alku, Aalto University, Finland; Figen Ertas, Uludag University, Turkey
SP-P18.4: INSTANTANEOUS FREQUENCY AND BANDWIDTH ESTIMATION USING FILTERBANK ARRAYS
Pirros Tsiakoulis, University of Cambridge, United Kingdom; Alexandros Potamianos, Technical University of Crete, Greece; Dimitrios Dimitriadis, AT&T Labs Research, United States
SP-P18.5: INDIVIDUALITY-PRESERVING VOICE CONVERSION FOR ARTICULATION DISORDERS BASED ON NON-NEGATIVE MATRIX FACTORIZATION
Ryo Aihara, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki, Kobe University, Japan
SP-P18.7: ESTIMATION OF LUMPED VOCAL FOLD MECHANICAL PROPERTIES FROM NON-INVASIVE MICROPHONE RECORDINGS
Steven M. Lulich, Indiana University, United States
SP-P18.8: ADDING CONTROLLED AMOUNT OF NOISE TO IMPROVE RECOGNITION OF COMPRESSED AND SPECTRALLY DISTORTED SPEECH
Jan Nouza, Petr Cerva, Jan Silovsky, Technical University of Liberec, Czech Republic
SP-P18.9: YET ANOTHER GAUSSIAN MIXTURE MODEL-BASED FEATURE COMPENSATION METHOD FOR ROBUST NOISY-DIGIT RECOGNITION
Chia-Ping Chen, Bing-Feng Yeh, National Sun Yat-sen University, Taiwan
SP-P18.10: AUDIO HEAD POSE ESTIMATION USING THE DIRECT TO REVERBERANT SPEECH RATIO
Mark Barnard, Wenwu Wang, Josef Kittler, University of Surrey, United Kingdom
SP-P18.11: PREDICTING THE EFFECT OF AGC ON SPEECH INTELLIGIBILITY OF COCHLEAR IMPLANT RECIPIENTS IN NOISE
Phyu Khing, University of New South Wales, Australia; Eliathamby Ambikairajah, The University of New South Wales, Australia; Brett Swanson, Cochlear Limited, Australia
SP-P18.12: CONFIDENCE INDEX DYNAMIC TIME WARPING FOR LANGUAGE-INDEPENDENT EMBEDDED SPEECH RECOGNITION
Xianglilan Zhang, University of Waterloo, Canada; Jiping Sun, Voice Enabling Systems Technology, Canada; Zhigang Luo, National University of Defense Technology, China; Ming Li, University of Waterloo, Canada
SP-P18.13: SPEECH RECOGNITION USING REGULARIZED MINIMUM VARIANCE DISTORTIONLESS RESPONSE SPECTRUM ESTIMATION-BASED CEPSTRAL FEATURES
Md Jahangir Alam, INRS-EMT, University of Quebec, Canada; Patrick Kenny, CRIM, Canada; Douglas O'Shaughnessy, INRS-EMT, University of Quebec, Canada
SP-P19.1: EMBEDDING TIME WARPING IN EXEMPLAR-BASED SPARSE REPRESENTATIONS OF SPEECH
Emre Yilmaz, Jort Florent Gemmeke, Hugo Van hamme, Katholieke Universiteit Leuven, Belgium
SP-P19.2: UNSUPERVISED DISCOVERY OF LINGUISTIC STRUCTURE INCLUDING TWO-LEVEL ACOUSTIC PATTERNS USING THREE CASCADED STAGES OF ITERATIVE OPTIMIZATION
Cheng-Tao Chung, Chun-an Chan, Lin-Shan Lee, National Taiwan University, Taiwan
SP-P19.3: LIGHTLY SUPERVISED LEARNING FROM A DAMAGED NATURAL SPEECH CORPUS
Charles Fox, Thomas Hain, Sheffield University, United Kingdom
SP-P19.4: WEAK TOP-DOWN CONSTRAINTS FOR UNSUPERVISED ACOUSTIC MODEL TRAINING
Aren Jansen, Samuel Thomas, Hynek Hermansky, Johns Hopkins University, United States
SP-P19.5: ACCURATE SPEECH SEGMENTATION BY MIMICKING HUMAN AUDITORY PROCESSING
Sarah King, Mark Hasegawa-Johnson, University of Illinois, United States
SP-P19.6: AUDIOVISUAL CORPUS TO ANALYZE WHISPER SPEECH
Tam Tran, Soroosh Mariooryad, Carlos Busso, The University of Texas at Dallas, United States
SP-P19.7: SPEAKER-INDEPENDENT LIPS AND TONGUE VISUALIZATION OF VOWELS
Hao Li, Minghao Yang, Jianhua Tao, Chinese Academy of Sciences, China
SP-P19.8: A SUMMARY OF THE 2012 JHU CLSP WORKSHOP ON ZERO RESOURCE SPEECH TECHNOLOGIES AND MODELS OF EARLY LANGUAGE ACQUISITION
Aren Jansen, Johns Hopkins University, United States; Emmanuel Dupoux, Ecole des Haute Etudes en Sciences Sociales, France; Sharon Goldwater, University of Edinburgh, United Kingdom; Mark Johnson, Macquarie University, Australia; Sanjeev Khudanpur, Johns Hopkins University, United States; Kenneth Church, IBM Research, United States; Naomi Feldman, University of Maryland, United States; Hynek Hermansky, Johns Hopkins University, United States; Florian Metze, Carnegie Mellon University, United States; Richard Rose, McGill University, Canada; Michael Seltzer, Microsoft Research, United States; Pascal Clark, Johns Hopkins University, United States; Ian McGraw, Massachusetts Institute of Technology, United States; Balakrishnan Varadarajan, Google Inc., United States; Erin Bennett, University of Maryland, United States; Benjamin Borschinger, Macquarie University, United States; Justin Chiu, Carnegie Mellon University, United States; Ewan Dunbar, University of Maryland, United States; Abdellah Fourtassi, École Normale Supérieure, France; David Harwath, Chia-Ying Lee, Massachusetts Institute of Technology, United States; Keith Levin, Johns Hopkins University, United States; Atta Norouzian, McGill University, Canada; Vijayaditya Peddinti, Johns Hopkins University, United States; Rachael Richardson, University of Maryland, United States; Thomas Schatz, École Normale Supérieure, United States; Samuel Thomas, Johns Hopkins University, United States
SP-P19.9: COMPARING TWO METHODS FOR CROWDSOURCING SPEECH TRANSCRIPTION
Rachele Sprugnoli, Giovanni Moretti, Matteo Fuoli, Center for the Evaluation of Language and Communication Technologies, Italy; Diego Giuliani, Luisa Bentivogli, Emanuele Pianta, Roberto Gretter, Fabio Brugnara, Fondazione Bruno Kessler, Italy
SP-P19.10: THE SPOKEN WEB SEARCH TASK AT MEDIAEVAL 2012
Florian Metze, Carnegie Mellon University, United States; Xavier Anguera, Telefonica Research, Spain; Etienne Barnard, Marelie Davel, North-West University, South Africa; Guillaume Gravier, IRISA/ INRIA, France
SP-P19.11: GLOBALPHONE: A MULTILINGUAL TEXT & SPEECH DATABASE IN 20 LANGUAGES
Tanja Schultz, Ngoc Thang Vu, Tim Schlippe, Karlsruhe Institute of Technology (KIT), Germany
SP-P19.12: IMPROVING ASR BY INTEGRATING LECTURE AUDIO AND SLIDES
João Miranda, Instituto Superior Técnico / Carnegie Mellon University, Portugal; João Neto, Instituto Superior Técnico, Portugal; Alan W. Black, Carnegie Mellon University, United States
SP-P19.13: SEGMENTATION-BASED MONGOLIAN LVCSR APPROACH
Feilong Bao, Guanglai Gao, Xueliang Yan, Weihua Wang, Inner Mongolia University, China
SP-P20.1: ON THE (UN)IMPORTANCE OF THE CONTEXTUAL FACTORS IN HMM-BASED SPEECH SYNTHESIS AND CODING
Milos Cernak, Petr Motlicek, Philip N. Garner, Idiap Research Institute, Switzerland
SP-P20.2: TOWARDS REPRODUCIBLE EVALUATION OF AUTOMOTIVE HANDS-FREE SYSTEMS IN DYNAMIC CONDITIONS
Marc-André Jung, Lucca Richter, Tim Fingscheidt, Technische Universität Braunschweig, Germany
SP-P20.3: WHEN SHOULD A SPEECH CODING QUALITY INCREASE BE ALLOWED WITHIN A TALK-SPURT?
Stephen Voran, Andrew Catellier, Institute for Telecommunication Sciences, United States
SP-P20.4: A GREEDY APPROACH TO LINEAR PREDICTION WITH SPARSE RESIDUALS
Yuantao Gu, Tsinghua University, China
SP-P20.5: SPEECH CODING BASED ON PITCH SYNCHRONY AND TWO-STAGE TRANSFORMATION
Xiao-ming Li, Chang-chun Bao, Beijing University of Technology, China; Willem Bastiaan Kleijn, Victoria University of Wellington, New Zealand
SP-P20.6: AN EXTENSION OF THE PEAQ MEASURE BY A BINAURAL HEARING MODEL
Magnus Schäfer, Mohammad Bahram, Peter Vary, RWTH Aachen University, Germany
SP-P20.7: FEATURE ANALYSIS FOR THE REVERBERATION PERCEPTION IN SPEECH SIGNALS
Jose Maria Fernandez del Vallado, Universidad Politécnica de Madrid, Spain; Amaro Azevedo de Lima, Thiago de Moura Prego, Federal Center for Technical Education Celso Suckow da Fonseca, Brazil; Sergio Lima Netto, Federal University of Rio de Janeiro, Brazil
SP-P20.8: BACKWARDS-COMPATIBLE ERROR PROPAGATION RECOVERY FOR THE AMR CODEC OVER ERASURE CHANNELS
Angel M. Gomez, Jose Luis Perez Cordoba, Universidad de Granada, Spain; Bernd Geiser, RWTH Aachen University, Germany
SP-P20.9: LOSSLESS COMPRESSION OF G.711 SPEECH USING ONLY LOOK-UP TABLES
Stephen Voran, Institute for Telecommunication Sciences, United States
SP-P20.10: REAL-TIME IMPLEMENTATIONS OF SPARSE LINEAR PREDICTION FOR SPEECH PROCESSING
Tobias Lindstrøm Jensen, Aalborg University, Denmark; Daniele Giacobello, Broadcom Corporation, United States; Mads Græsbøll Christensen, Søren Holdt Jensen, Aalborg University, Denmark; Marc Moonen, Katholieke Universiteit Leuven, Belgium
SP-P20.11: TRANSIENT MODELING FOR OVERLAP-ADD SINUSOIDAL MODEL OF SPEECH
Slava Shechtman, IBM Research, Israel
SP-P20.12: TIME-SCALE MODIFICATIONS BASED ON A FULL-BAND ADAPTIVE HARMONIC MODEL
George Kafentzis, Orange Labs, France; Gilles Degottex, University of Crete, Greece; Olivier Rosec, Voxygen S.A., France; Yannis Stylianou, Foundation for Research and Technology - Hellas, Greece
SP-P20.13: RELIABLE ESTIMATION OF QUALITY SCORES BY A SMALL CALIBRATED LISTENING PANEL
Iman Mossavat, Eindhoven University of Technology, Netherlands; Willem Bastiaan Kleijn, Victoria University of Wellington, New Zealand
SP-P20.14: RIESZ-TRANSFORM-BASED DEMODULATION OF NARROWBAND SPECTROGRAMS OF VOICED SPEECH
Haricharan Aragonda, Chandra Sekhar Seelamantula, Indian Institute of Science, India
SLP-L1.1: FEEDBACK UTTERANCES FOR COMPUTER-AIDED LANGUAGE LEARNING USING ACCENT REDUCTION AND VOICE CONVERSION METHOD
Sixuan Zhao, Soo Ngee Koh, Ing Yann Soon, Kang Kwong Luke, Nanyang Technological University, Singapore
SLP-L1.2: A DIALOGUE GAME FRAMEWORK WITH PERSONALIZED TRAINING USING REINFORCEMENT LEARNING FOR COMPUTER-ASSISTED LANGUAGE LEARNING
Pei-hao Su, Yow-Bang Wang, Tien-han Yu, Lin-shan Lee, National Taiwan University, Taiwan
SLP-L1.3: AUDIOVISUAL SYNTHESIS OF EXAGGERATED SPEECH FOR CORRECTIVE FEEDBACK IN COMPUTER-ASSISTED PRONUNCIATION TRAINING
Junhong Zhao, IECAS, China; Hua Yuan, Tsinghua University, China; Wai-Kim Leung, Helen Meng, CUHK, Hong Kong SAR of China; Jia Liu, Tsinghua University, China; Shanhong Xia, IECAS, China
SLP-L1.4: A NOVEL DISCRIMINATIVE METHOD FOR PRONUNCIATION QUALITY ASSESSMENT
Junbo Zhang, Fuping Pan, Bin Dong, Yonghong Yan, Institute of Acoustics, Chinese Academy of Sciences, China
SLP-L1.5: MISPRONUNCIATION DETECTION VIA DYNAMIC TIME WARPING ON DEEP BELIEF NETWORK-BASED POSTERIORGRAMS
Ann Lee, Yaodong Zhang, James Glass, Massachusetts Institute of Technology, United States
SLP-L1.6: TOWARD UNSUPERVISED DISCOVERY OF PRONUNCIATION ERROR PATTERNS USING UNIVERSAL PHONEME POSTERIORGRAM FOR COMPUTER-ASSISTED LANGUAGE LEARNING
Yow-Bang Wang, Lin-Shan Lee, National Taiwan University, Taiwan
SLP-L2.1: SPEED REGULARIZATION AND OPTIMALITY IN WORD CLASSING
Geoffrey Zweig, Konstantin Makarychev, Microsoft Corporation, United States
SLP-L2.2: CONVERTING NEURAL NETWORK LANGUAGE MODELS INTO BACK-OFF LANGUAGE MODELS FOR EFFICIENT DECODING IN AUTOMATIC SPEECH RECOGNITION
Ebru Arisoy, Stanley F. Chen, Bhuvana Ramabhadran, Abhinav Sethy, IBM T.J. Watson Research Center, United States
SLP-L2.3: TEMPORAL KERNEL NEURAL NETWORK LANGUAGE MODEL
Yongzhe Shi, Wei-Qiang Zhang, Meng Cai, Jia Liu, Tsinghua University, China
SLP-L2.4: INCORPORATING SEMANTIC INFORMATION TO SELECTION OF WEB TEXTS FOR LANGUAGE MODEL OF SPOKEN DIALOGUE SYSTEM
Koichiro Yoshino, Shinsuke Mori, Tatsuya Kawahara, Kyoto University, Japan
SLP-L2.5: OPEN VOCABULARY HANDWRITING RECOGNITION USING COMBINED WORD-LEVEL AND CHARACTER-LEVEL LANGUAGE MODELS
Michal Kozielski, David Rybach, Stefan Hahn, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany
SLP-L2.6: LANGUAGE MODEL VERBALIZATION FOR AUTOMATIC SPEECH RECOGNITION
Hasim Sak, Françoise Beaufays, Kaisuke Nakajima, Cyril Allauzen, Google Inc., United States
SLP-L3.1: RICH SYSTEM COMBINATION FOR KEYWORD SPOTTING IN NOISY AND ACOUSTICALLY HETEROGENEOUS AUDIO STREAMS
Murat Akbacak, Microsoft Corporation, United States; Lukas Burget, Brno University of Technology, Czech Republic; Wen Wang, Julien Van Hout, SRI International, United States
SLP-L3.2: SYSTEM COMBINATION AND SCORE NORMALIZATION FOR SPOKEN TERM DETECTION
Jonathan Mamou, IBM Haifa Research Labs, Israel; Jia Cui, Xiaodong Cui, IBM T.J. Watson Research Center, United States; Mark J.F. Gales, Cambridge University, United Kingdom; Brian Kingsbury, IBM T.J. Watson Research Center, United States; Kate Knill, Cambridge University, United Kingdom; Lidia Mangu, IBM T.J. Watson Research Center, United States; David Nolden, RWTH Aachen University, Germany; Michael Picheny, Bhuvana Ramabhadran, IBM T.J. Watson Research Center, United States; Ralf Schlüter, RWTH Aachen University, Germany; Abhinav Sethy, IBM T.J. Watson Research Center, United States; Philip C. Woodland, Cambridge University, United Kingdom
SLP-L3.3: A HIGH-PERFORMANCE CANTONESE KEYWORD SEARCH SYSTEM
Brian Kingsbury, Jia Cui, Xiaodong Cui, IBM, United States; Mark J.F. Gales, Kate Knill, Cambridge University, United Kingdom; Jonathan Mamou, Lidia Mangu, IBM, Israel; David Nolden, RWTH Aachen University, Germany; Michael Picheny, Bhuvana Ramabhadran, IBM, United States; Ralf Schlüter, RWTH Aachen University, Germany; Abhinav Sethy, IBM, United States; Philip C. Woodland, Cambridge University, United Kingdom
SLP-L3.4: EXPLOITING DIVERSITY FOR SPOKEN TERM DETECTION
Lidia Mangu, Hagen Soltau, Hong-Kwang Jeff Kuo, Brian Kingsbury, George Saon, International Business Machines, United States
SLP-L3.5: DISCRIMINATIVE ARTICULATORY MODELS FOR SPOKEN TERM DETECTION IN LOW-RESOURCE CONVERSATIONAL SETTINGS
Rohit Prabhavalkar, The Ohio State University, United States; Karen Livescu, Toyota Technological Institute at Chicago, United States; Eric Fosler-Lussier, The Ohio State University, United States; Joseph Keshet, Bar-Ilan University, Israel
SLP-L3.6: ZERO RESOURCE GRAPH-BASED CONFIDENCE ESTIMATION FOR OPEN VOCABULARY SPOKEN TERM DETECTION
Atta Norouzian, Richard Rose, Sina Hamidi Ghalehjegh, McGill University, Canada; Aren Jansen, Human Language Technology Center of Excellence, United States
SLP-P1.1: ENHANCING QUERY EXPANSION FOR SEMANTIC RETRIEVAL OF SPOKEN CONTENT WITH AUTOMATICALLY DISCOVERED ACOUSTIC PATTERNS
Hung-yi Lee, Academia Sinica, Taiwan; Yun-Chiao Li, Cheng-Tao Chung, Lin-shan Lee, National Taiwan University, Taiwan
SLP-P1.2: LATENT SEMANTIC RATIONAL KERNELS FOR TOPIC SPOTTING ON SPONTANEOUS CONVERSATIONAL SPEECH
Chao Weng, Biing-Hwang (Fred) Juang, Georgia Institute of Technology, United States
SLP-P1.3: LATENT SEMANTIC MODELING FOR SLOT FILLING IN CONVERSATIONAL UNDERSTANDING
Gokhan Tur, Asli Celikyilmaz, Microsoft Corporation, United States; Dilek Hakkani-Tür, Microsoft Research, United States
SLP-P1.4: MEASURING SEMANTIC SIMILARITY BY CONTEXTUAL WORD CONNECTIONS IN CHINESE NEWS STORY SEGMENTATION
Xuecheng Nie, Wei Feng, Liang Wan, Tianjin University, China; Lei Xie, Northwestern Polytechnical University, China
SLP-P1.5: AN EMPIRICAL INVESTIGATION OF SPARSE LOG-LINEAR MODELS FOR IMPROVED DIALOGUE ACT CLASSIFICATION
Yun-Nung Chen, William Yang Wang, Alexander I. Rudnicky, Carnegie Mellon University, United States
SLP-P1.6: HIERARCHICAL DISCRIMINATIVE MODEL FOR SPOKEN LANGUAGE UNDERSTANDING
Jan Švec, Luboš Šmídl, Pavel Ircing, University of West Bohemia, Czech Republic
SLP-P1.7: USING A KNOWLEDGE GRAPH AND QUERY CLICK LOGS FOR UNSUPERVISED LEARNING OF RELATION DETECTION
Dilek Hakkani-Tür, Larry Heck, Gokhan Tur, Microsoft Research, United States
SLP-P1.8: A GRAPH-BASED CROSS-LINGUAL PROJECTION APPROACH FOR SPOKEN LANGUAGE UNDERSTANDING PORTABILITY TO A NEW LANGUAGE
Seokhwan Kim, Institute for Infocomm Research, Singapore
SLP-P1.9: EASY CONTEXTUAL INTENT PREDICTION AND SLOT DETECTION
Aditya Bhargava, University of Toronto, Canada; Asli Celikyilmaz, Microsoft Corporation, United States; Dilek Hakkani-Tür, Microsoft Research, United States; Ruhi Sarikaya, Microsoft Corporation, United States
SLP-P1.10: MULTI-STYLE ADAPTIVE TRAINING FOR ROBUST CROSS-LINGUAL SPOKEN LANGUAGE UNDERSTANDING
Xiaodong He, Li Deng, Dilek Hakkani-Tür, Gokhan Tur, Microsoft Research, United States
SLP-P1.11: UNSUPERVISED DOMAIN ADAPTATION FOR SPOKEN DOCUMENT SUMMARIZATION WITH STRUCTURED SUPPORT VECTOR MACHINE
Hung-yi Lee, Academia Sinica, Taiwan; Yu-yu Chou, Yow-Bang Wang, Lin-shan Lee, National Taiwan University, Taiwan
SLP-P1.12: INTENT FOCUSED SUMMARIZATION OF CALLER-AGENT CONVERSATIONS
Shajith Ikbal, Ashish Verma, IBM Research - India, India; Prasanta Ghosh, Indian Institute of Science, India; Kenneth Church, IBM T.J. Watson Research Center, United States; Jeffrey Marcus, Nuance Communications Inc., United States
SLP-P1.13: MINIMAL-RESOURCE PHONETIC LANGUAGE MODELS TO SUMMARIZE UNTRANSCRIBED SPEECH
Nancy Chen, Bin Ma, Haizhou Li, Institute for Infocomm Research, Singapore
SLP-P2.1: CONTINUOUS ASR FOR FLEXIBLE INCREMENTAL DIALOGUE
Catherine Breslin, Milica Gašic, Matthew Henderson, Dongho Kim, Martin Szummer, Blaise Thomson, Pirros Tsiakoulis, Steve Young, Cambridge University, United Kingdom
SLP-P2.2: ON-LINE POLICY OPTIMISATION OF BAYESIAN SPOKEN DIALOGUE SYSTEMS VIA HUMAN INTERACTION
Milica Gašic, Catherine Breslin, Matthew Henderson, Dongho Kim, Martin Szummer, Blaise Thomson, Pirros Tsiakoulis, Steve Young, University of Cambridge, United Kingdom
SLP-P2.3: AUTOMATED TWO-WAY ENTRAINMENT TO IMPROVE SPOKEN DIALOG SYSTEM PERFORMANCE
José Lopes, IST/INESC-ID Lisboa, Portugal; Maxine Eskenazi, Carnegie Mellon University, United States; Isabel Trancoso, IST/INESC-ID Lisboa, Portugal
SLP-P2.4: UNDERSTANDING COMPUTER-DIRECTED UTTERANCES IN MULTI-USER DIALOG SYSTEMS
Dong Wang, The University of Texas at Dallas, United States; Dilek Hakkani-Tür, Gokhan Tur, Microsoft Research, United States
SLP-P2.5: MMDAGENT --- A FULLY OPEN-SOURCE TOOLKIT FOR VOICE INTERACTION SYSTEMS
Akinobu Lee, Keiichiro Oura, Keiichi Tokuda, Nagoya Institute of Technology, Japan
SLP-P2.6: ASGARD: A PORTABLE ARCHITECTURE FOR MULTILINGUAL DIALOGUE SYSTEMS
Jingjing Liu, Panupong Pasupat, Scott Cyphers, James Glass, Massachusetts Institute of Technology, United States
SLP-P2.7: “CAN YOU GIVE ME ANOTHER WORD FOR HYPERBARIC?”: IMPROVING SPEECH TRANSLATION USING TARGETED CLARIFICATION QUESTIONS
Necip Fazil Ayan, Arindam Mandal, Michael Frandsen, Jing Zheng, Peter Blasco, Andreas Kathol, SRI International, United States; Frederic Bechet, Benoit Favre, Aix-Marseille Université, France; Alex Marin, Tom Kwiatkowski, Mari Ostendorf, Luke Zettlemoyer, University of Washington, United States; Philipp Salletmayr, Graz Institute of Technology, Austria; Julia Hirschberg, Svetlana Stoyanchev, Columbia University, United States
SLP-P2.8: A STUDY ON THE EFFECT OF PROSODIC EMPHASIS TRANSFER ON OVERALL SPEECH TRANSLATION QUALITY
Andreas Tsiartas, Panayiotis Georgiou, Shrikanth Narayanan, University of Southern California, United States
SLP-P2.9: ADAPTATION OF LECTURE SPEECH RECOGNITION SYSTEM WITH MACHINE TRANSLATION OUTPUT
Raymond W. M. Ng, Thomas Hain, Trevor Cohn, The University of Sheffield, United Kingdom
SLP-P2.10: STATISTICAL MACHINE TRANSLATION BASED TEXT NORMALIZATION WITH CROWDSOURCING
Tim Schlippe, Chenfei Zhu, Daniel Lemcke, Tanja Schultz, Karlsruhe Institute of Technology (KIT), Germany
SLP-P3.1: RECURRENT NEURAL NETWORK LANGUAGE MODELING FOR CODE SWITCHING CONVERSATIONAL SPEECH
Heike Adel, Ngoc Thang Vu, Franziska Kraus, Tim Schlippe, Karlsruhe Institute of Technology (KIT), Germany; Haizhou Li, Nanyang Technological University, Singapore; Tanja Schultz, Karlsruhe Institute of Technology (KIT), Germany
SLP-P3.2: COMPARING RNNS AND LOG-LINEAR INTERPOLATION OF IMPROVED SKIP-MODEL ON FOUR BABEL LANGUAGES: CANTONESE, PASHTO, TAGALOG, TURKISH
Mittul Singh, Dietrich Klakow, Saarland University, Germany
SLP-P3.3: PARAPHRASTIC LANGUAGE MODELS AND COMBINATION WITH NEURAL NETWORK LANGUAGE MODELS
Xunying Liu, Mark J.F. Gales, Philip C. Woodland, Cambridge University, United Kingdom
SLP-P3.4: MULTIPLE PARALLEL HIDDEN LAYERS AND OTHER IMPROVEMENTS TO RECURRENT NEURAL NETWORK LANGUAGE MODELING
Diamantino Caseiro, Andrej Ljolje, AT&T Labs Research, United States
SLP-P3.5: COMPARISON OF FEEDFORWARD AND RECURRENT NEURAL NETWORK LANGUAGE MODELS
Martin Sundermeyer, RWTH Aachen University, Germany; Ilya Oparin, Jean-Luc Gauvain, LIMSI CNRS, France; Ben Freiberg, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany
SLP-P3.6: MORPHEME-BASED FEATURE-RICH LANGUAGE MODELS USING DEEP NEURAL NETWORKS FOR LVCSR OF EGYPTIAN ARABIC
Amr El-Desoky Mousa, RWTH Aachen University, Germany; Hong-Kwang Jeff Kuo, International Business Machines, United States; Lidia Mangu, Hagen Soltau, IBM, United States
SLP-P3.7: COMPARISON OF A BIGRAM PLSA AND A NOVEL CONTEXT-BASED PLSA LANGUAGE MODEL FOR SPEECH RECOGNITION
Md. Akmal Haidar, Douglas O’Shaughnessy, Institut National de la Recherche Scientifique (INRS), Canada
SLP-P3.8: USE OF LATENT WORDS LANGUAGE MODELS IN ASR: A SAMPLING-BASED IMPLEMENTATION
Ryo Masumura, Hirokazu Masataki, Takanobu Oba, Osamu Yoshioka, Satoshi Takahashi, Nippon Telegraph and Telephone Corporation, Japan
SLP-P3.9: LANGUAGE MODEL ADAPTATION FOR VIDEO LECTURES TRANSCRIPTION
Adrià Martínez-Villaronga, Miguel A. Del Agua, Jesús Andrés-Ferrer, Alfons Juan, Universitat Politècnica de València, Spain
SLP-P4.1: UNSUPERVISED TOPIC MODEL FOR BROADCAST PROGRAM SEGMENTATION
Gilles Boulianne, Centre de Recherche Informatique de Montréal (CRIM), Canada; Pierre Dumouchel, École de Technologie Supérieure (ÉTS), Canada
SLP-P4.2: CROSS-LANGUAGE PHRASE BOUNDARY DETECTION
Victor Soto, Erica Cooper, Columbia University, United States; Andrew Rosenberg, Queens College/CUNY, United States; Julia Hirschberg, Columbia University, United States
SLP-P4.3: BROADCAST NEWS STORY SEGMENTATION USING LATENT TOPICS ON DATA MANIFOLD
Xiaoming Lu, Northwest Polytechnical University, China; Cheung-Chi Leung, Institute for Infocomm Research, Singapore; Lei Xie, Northwestern Polytechnical University, China; Bin Ma, Haizhou Li, Institute for Infocomm Research, Singapore
SLP-P4.4: PERSON NAME RECOGNITION IN ASR OUTPUTS USING CONTINUOUS CONTEXT MODELS
Benjamin Bigot, Grégory Senay, Georges Linarès, Corinne Fredouille, Richard Dufour, LIA - University of Avignon, France
SLP-P4.5: ROBUST TREE-STRUCTURED NAMED ENTITIES RECOGNITION FROM SPEECH
Christian Raymond, INSA de Rennes - IRISA, France
SLP-P4.6: SEMANTIC INFERENCE BASED ON NEURAL PROBABILISTIC LANGUAGE MODELING FOR SPEECH INDEXING
Chien-Lin Huang, Chiori Hori, Hideki Kashioka, National Institute of Information and Communications Technology, Japan
SLP-P4.7: SENTIMENT EXTRACTION FROM NATURAL AUDIO STREAMS
Lakshmish Kaushik, Abhijeet Sangwan, John H.L. Hansen, The University of Texas at Dallas-CRSS, United States
SLP-P4.8: PERCEPTUALLY INSPIRED FEATURES FOR SPEAKER LIKABILITY CLASSIFICATION
Sira Gonzalez, Imperial College London, United Kingdom; Xavier Anguera, Telefonica Research, Spain
SLP-P4.9: INTERACTION STYLE DETECTION BASED ON FUSED CROSS-CORRELATION MODEL IN SPOKEN CONVERSATION
Wen-Li Wei, Chung-Hsien Wu, Jen-Chun Lin, Han Li, National Cheng Kung University, Taiwan
SLP-P4.10: CONTINUOUS MODELS OF AFFECT FROM TEXT USING N-GRAMS
Nikolaos Malandrakis, University of Southern California, United States; Alexandros Potamianos, Technical University of Crete, Greece; Shrikanth Narayanan, University of Southern California, United States
SLP-P4.11: CO-TRAINING SUCCEEDS IN COMPUTATIONAL PARALINGUISTICS
Zixing Zhang, Jun Deng, Björn Schuller, Technische Universität München, Germany
SLP-P5.1: INTERACTIVE SPOKEN CONTENT RETRIEVAL BY EXTENDED QUERY MODEL AND CONTINUOUS STATE SPACE MARKOV DECISION PROCESS
Tsung-Hsien Wen, Hung-Yi Lee, Pei-Hao Su, Lin-Shan Lee, National Taiwan University, Taiwan
SLP-P5.2: SPEED IMPROVEMENTS TO INFORMATION RETRIEVAL-BASED DYNAMIC TIME WARPING USING HIERARCHICAL K-MEANS CLUSTERING
Gautam Mantena, International Institute of Information Technology - Hyderbad, India; Xavier Anguera, Telefonica Research, Spain
SLP-P5.3: GRAPH INDEX BASED QUERY-BY-EXAMPLE SEARCH ON A LARGE SPEECH DATA SET
Kazuo Aoyama, Atsunori Ogawa, Takashi Hattori, Takaaki Hori, Atsushi Nakamura, Nippon Telegraph and Telephone Corporation, Japan
SLP-P5.4: A TIGHTER LOWER BOUND ESTIMATE FOR DYNAMIC TIME WARPING
Peng Yang, Lei Xie, Qiao Luan, Northwestern Polytechnical University, China; Wei Feng, Tianjin University, China
SLP-P5.5: WEIGHTED MATRIX FACTORIZATION FOR SPOKEN DOCUMENT RETRIEVAL
Kuan-Yu Chen, Hsin-Min Wang, Academia Sinica, Taiwan; Berlin Chen, National Taiwan Normal University, Taiwan; Hsin-Hsi Chen, National Taiwan University, Taiwan
SLP-P5.6: EFFECTIVE PSEUDO-RELEVANCE FEEDBACK FOR SPOKEN DOCUMENT RETRIEVAL
Yi-Wen Chen, National Taiwan Normal University, Taiwan; Kuan-Yu Chen, Hsin-Min Wang, Academia Sinica, Taiwan; Berlin Chen, National Taiwan Normal University, Taiwan
SLP-P5.7: MULTIPLE INDEX COMBINATION FOR JAPANESE SPOKEN TERM DETECTION WITH OPTIMUM INDEX SELECTION BASED ON OOV-REGION CLASSIFIER
Naoyuki Kanda, Katsutoshi Itoyama, Hiroshi G. Okuno, Kyoto University, Japan
SLP-P5.8: USING PARALLEL TOKENIZERS WITH DTW MATRIX COMBINATION FOR LOW-RESOURCE SPOKEN TERM DETECTION
Haipeng Wang, Tan Lee, The Chinese University of Hong Kong, Hong Kong SAR of China; Cheung-Chi Leung, Bin Ma, Haizhou Li, Agency for Science, Technology and Research, Singapore
SLP-P5.9: TOWARD UNSUPERVISED MODEL-BASED SPOKEN TERM DETECTION WITH SPOKEN QUERIES WITHOUT ANNOTATED DATA
Chun-an Chan, Cheng-Tao Chung, Yu-Hsin Kuo, Lin-shan Lee, National Taiwan University, Taiwan
SLP-P5.10: ZERO RESOURCE SPOKEN AUDIO CORPUS ANALYSIS
David Harwath, Massachusetts Institute of Technology, United States; Timothy Hazen, Massachusetts Institute of Technology, Lincoln Laboratory, United States; James Glass, Massachusetts Institute of Technology, United States
SLP-P5.11: QUANTIFYING THE VALUE OF PRONUNCIATION LEXICONS FOR KEYWORD SEARCH IN LOW RESOURCE LANGUAGES
Guoguo Chen, Sanjeev Khudanpur, Daniel Povey, Jan Trmal, David Yarowsky, Oguz Yilmaz, Johns Hopkins University, United States
SLP-P5.12: A CONFIDENCE-BASED APPROACH FOR IMPROVING KEYWORD HYPOTHESIS SCORES
Matthew Seigel, Philip C. Woodland, Mark J.F. Gales, University of Cambridge, United Kingdom
SLP-P5.13: CASE BASED REASONING SOLUTION TO THE PROBLEM OF SUSTAINED LEARNING IN KEYWORD SPOTTING
Tieran Zheng, Jiqing Han, Guibin Zheng, Shiwen Deng, Harbin Institute of Technology, China
SS-L1.1: SPARSE LEXICAL REPRESENTATION FOR SEMANTIC ENTITY RESOLUTION
Yuzhe Jin, Kuansan Wang, Emre Kiciman, Microsoft Research, United States
SS-L1.2: EXCEPTIONS IN LANGUAGE AS LEARNED BY THE MULTI-FACTOR SPARSE PLUS LOW-RANK LANGUAGE MODEL
Brian Hutchinson, Mari Ostendorf, Maryam Fazel, University of Washington, United States
SS-L1.3: FAST ONLINE L1-DICTIONARY LEARNING ALGORITHMS FOR NOVEL DOCUMENT DETECTION
Shiva Kasiviswanathan, General Electric Research, United States
SS-L1.4: JOINT TOPIC-DOCUMENT MODELING VIA LOW-DIMENSIONAL SPARSE MODELS
Kerui Min, University of Illinois at Urbana-Champaign, United States; Yi Ma, Microsoft Research Asia, China
SS-L1.5: BUILDING HIGH-LEVEL FEATURES USING LARGE SCALE UNSUPERVISED LEARNING
Quoc Le, Stanford University, United States
SS-L2.1: NEW TYPES OF DEEP NEURAL NETWORK LEARNING FOR SPEECH RECOGNITION AND RELATED APPLICATIONS: AN OVERVIEW
Li Deng, Microsoft Research, United States; Geoffrey E. Hinton, University of Toronto, Canada; Brian Kingsbury, IBM, United States
SS-L2.2: RECENT ADVANCES IN DEEP LEARNING FOR SPEECH RESEARCH AT MICROSOFT
Li Deng, Microsoft Research, United States; Jinyu Li, Jui-Ting Huang, Kaisheng Yao, Dong Yu, Frank Seide, Michael Seltzer, Geoffrey Zweig, Xiaodong He, Jason Williams, Yifan Gong, Alex Acero, Microsoft Corporation, United States
SS-L2.3: IMPROVING DEEP NEURAL NETWORKS FOR LVCSR USING RECTIFIED LINEAR UNITS AND DROPOUT
George Dahl, University of Toronto, Canada; Tara N. Sainath, IBM, United States; Geoffrey E. Hinton, University of Toronto, Canada
SS-L2.4: DEEP CONVOLUTIONAL NEURAL NETWORKS FOR LVCSR
Tara N. Sainath, IBM T.J. Watson Research Center, United States; Abdel-Rahman Mohamed, University of Toronto, Canada; Brian Kingsbury, Bhuvana Ramabhadran, IBM T.J. Watson Research Center, United States
SS-L2.5: MULTILINGUAL ACOUSTIC MODELS USING DISTRIBUTED DEEP NEURAL NETWORKS
Georg Heigold, Vincent Vanhoucke, Andrew Senior, Patrick Nguyen, Marc'Aurelio Ranzato, Matthieu Devin, Jeff Dean, Google Inc., United States
SS-L2.6: ADVANCES IN OPTIMIZING RECURRENT NETWORKS
Yoshua Bengio, Nicolas Boulanger-Lewandowski, Razvan Pascanu, Université de Montréal, Canada
SS-L3.1: VALIDATION OF ACOUSTIC MODELS OF AUDITORY NEURAL PROSTHESES
Mario Svirsky, Nai Ding, Elad Sagi, Chin-Tuan Tan, Matthew Fitzgerald, E. Katelyn Glassman, Keena Seward, Arlene Neuman, New York University School of Medicine, United States
SS-L3.2: RANK-1 APPROXIMATION BASED MULTICHANNEL WIENER FILTERING ALGORITHMS FOR NOISE REDUCTION IN COCHLEAR IMPLANTS
Romain Serizel, Marc Moonen, Katholieke Universiteit Leuven, Belgium; Bas Van Dijk, Cochlear, Belgium; Jan Wouters, Katholieke Universiteit Leuven, Belgium
SS-L3.3: SNR IS NOT ENOUGH: NOISE MODULATION AND SPEECH QUALITY
James Kates, Kathryn Arehart, University of Colorado, United States
SS-L3.4: EFFECT OF INDIVIDUALLY TAILORED SPECTRAL CHANGE ENHANCEMENT ON SPEECH INTELLIGIBILITY AND QUALITY FOR HEARING-IMPAIRED LISTENERS
Jing Chen, Peking University, China; Brian Moore, University of Cambridge, United Kingdom
SS-L3.5: COHERENCE PRESERVATION IN MULTI-CHANNEL WIENER FILTERING BASED NOISE REDUCTION FOR BINAURAL HEARING AIDS
Daniel Marquardt, Volker Hohmann, Simon Doclo, University of Oldenburg, Germany
SS-L3.6: A NOVEL SINGLE CHANNEL SPEECH ENHANCEMENT APPROACH BY COMBINING WIENER FILTER AND DICTIONARY LEARNING
Hung-Wei Tseng, University of Minnesota, United States; Srikanth Vishnubhotla, Starkey Hearing Technologies, United States; Mingyi Hong, University of Minnesota, United States; Jinjun Xiao, Starkey Hearing Technologies, United States; Zhi-Quan Luo, University of Minnesota, United States; Tao Zhang, Starkey Hearing Technologies, United States
SS-L4.1: RECOGNITION OF HARMONIC SOUNDS IN POLYPHONIC AUDIO USING A MISSING FEATURE APPROACH
Dimitrios Giannoulis, Queen Mary University of London, United Kingdom; Anssi Klapuri, Ovelin, Finland; Mark D. Plumbley, Queen Mary University of London, United Kingdom
SS-L4.2: SUBBAND AUTOCORRELATION FEATURES FOR VIDEO SOUNDTRACK CLASSIFICATION
Courtenay Cotton, Daniel Ellis, Columbia University, United States
SS-L4.4: REPRESENTING ENVIRONMENTAL SOUNDS USING THE SEPARABLE SCATTERING TRANSFORM
Carlo Baugé, Mathieu Lagrange, Institute for Acoustic/Musical Research and Coordination (IRCAM), France; Joakim Andén, Applied Mathematics Center (CMAP), France; Stéphane Mallat, École Normale Supérieure, France
SS-L4.5: REAL-TIME MULTI-MICROPHONE RECOGNITION OF SIMULTANEOUS SOUNDS IN A ROOM ENVIRONMENT
Rupayan Chakraborty, Climent Nadeu, Universitat Politècnica de Catalunya( UPC), Spain
SS-L4.6: SUPERVISED MODEL TRAINING FOR OVERLAPPING SOUND EVENTS BASED ON UNSUPERVISED SOURCE SEPARATION
Toni Heittola, Tampere University of Technology, Finland; Annamaria Mesaros, Aalto University, Finland; Tuomas Virtanen, Moncef Gabbouj, Tampere University of Technology, Finland
SS-L5.1: COPING WITH THE ENEMY: ADVANCES IN ADVERSARY-AWARE SIGNAL PROCESSING
Mauro Barni, University of Siena, Italy; Fernando Pérez-González, University of Vigo, Spain
SS-L5.2: ATTACKING THE IDS LEARNING PROCESSES
Tomas Pevny, Martin Komon, Martin Rehak, Czech Technical University in Prague, Czech Republic
SS-L5.3: FAKE IRIS DETECTION USING STRUCTURED LIGHT
Jon Connell, Nalini Ratha, James Gentile, Ruud Bolle, IBM Research, United States
SS-L5.4: TIMING SIDE CHANNELS FOR TRAFFIC ANALYSIS
Xun Gong, Negar Kiyavash, University of Illinois at Urbana-Champaign, United States
SS-L5.5: PROTECTION AGAINST REVERSE ENGINEERING IN DIGITAL CAMERAS
Matthew C. Stamm, K. J. Ray Liu, University of Maryland, College Park, United States
SS-L5.6: CAN REPUTATION MANIPULATION BOOST APP SALES IN ANDROID MARKET?
Yuhong Liu, Yan Lindsay Sun, University of Rhode Island, United States
SS-L6.1: REPLICATION AND OPTIMIZATION OF HEDGE FUND RISK FACTOR EXPOSURES
Douglas Johnston, Quantalysis, LLC, United States; Inigo Urteaga, Petar Djuric, Stony Brook University, United States
SS-L6.2: GROWTH OPTIMAL INVESTMENT WITH THRESHOLD REBALANCING PORTFOLIOS UNDER TRANSACTION COSTS
Sait Tunc, Georgia Institute of Technology, United States; Mehmet Donmez, Koc University, Turkey; Suleyman Kozat, Bilkent University, Turkey
SS-L6.3: LOCALLY STATIONARY VECTOR PROCESSES AND ADAPTIVE MULTIVARIATE MODELING
David S. Matteson, Nicholas A. James, William B. Nicholson, Louis C. Segalini, Cornell University, United States
SS-L6.4: FPGA BASED EIGENFILTERING FOR REAL-TIME PORTFOLIO RISK ANALYSIS
Mustafa U. Torun, Onur Yilmaz, Ali N. Akansu, New Jersey Institute of Technology, United States
SS-L6.5: DYNAMICAL COMPLEXITY ANALYSIS OF MULTIVARIATE FINANCIAL DATA
Wenjun Er, Danilo P. Mandic, Imperial College London, United States
SS-L6.6: DETECTING ASSET VALUE DISLOCATIONS IN MULTI-AGENT MODELS OF MARKET MICROSTRUCTURE
Vikram Krishnamurthy, Anup Aryan, University of British Columbia, Canada
SS-L7.1: AN OVERVIEW OF SIGNAL PROCESSING ISSUES IN CHEMICAL SENSING
Laurent Duval, IFP Energies nouvelles, France; Leonardo Duarte, University of Campinas, Brazil; Christian Jutten, University of Grenoble, France
SS-L7.2: PRIMAL-DUAL INTERIOR POINT OPTIMIZATION FOR A REGULARIZED RECONSTRUCTION OF NMR RELAXATION TIME DISTRIBUTIONS
Emilie Chouzenoux, LIGM, Université Paris Est Marne-La-Vallée, France; Saïd Moussaoui, Jérôme Idier, L'UNAM Université, Ecole Centrale Nantes, France; François Mariette, CEMAGREF, UR TERE, France
SS-L7.3: SPARSE MODAL ESTIMATION OF 2-D NMR SIGNALS
Souleymen Sahnoun, El-Hadi Djermoune, David Brie, CRAN, Université de Lorraine, CNRS, France
SS-L7.4: ACTIVE ANALYSIS OF CHEMICAL MIXTURES WITH MULTI-MODAL SPARSE NON-NEGATIVE LEAST SQUARES
Jin Huang, Ricardo Gutierrez-Osuna, Texas A&M University, United States
SS-L7.5: RECURSIVE LEAST SQUARES ALGORITHM DEDICATED TO EARLY RECOGNITION OF EXPLOSIVE COMPOUNDS THANKS TO MULTI-TECHNOLOGY SENSORS
Aurélien Mayoue, Aurélie Martin, Guillaume Lebrun, Anthony Larue, CEA LIST, France
SS-L8.1: MONITORING NETWORK STRUCTURE AND CONTENT QUALITY OF SIGNAL PROCESSING ARTICLES ON WIKIPEDIA
Tao Lee, Jayakrishnan Unnikrishnan, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
SS-L8.2: OPEN ONLINE PLATFORMS ADVANCING DSP EDUCATION
J.P. Slavinsky, Kim J. Davenport, Rice University, United States; Andrew C. Butler, Elizabeth J. Marsh, Duke University, United States; Richard G. Baraniuk, Rice University, United States
SS-L8.3: SPARSE PROBIT FACTOR ANALYSIS FOR LEARNING ANALYTICS
Andrew Waters, Andrew Lan, Christoph Studer, Rice University, United States
SS-L8.4: SIGNAL PROCESSING EDUCATION THROUGH CONCEPT DISCOVERY AND RESOURCE SELECTION PRACTICE
Gregory Krudysz, James McClellan, Georgia Institute of Technology, United States
SS-L8.5: TEACHING SIGNAL PROCESSING ONLINE: A REPORT FROM THE TRENCHES
Don Johnson, Rice University, United States; Paolo Prandoni, Pedro Pinto, Martin Vetterli, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland