AASP-L1.1: DIRECTION-OF-ARRIVAL ESTIMATION OF SPEECH SOURCES UNDER ALIASING CONDITIONS
Vinod Reddy, Andy W. H. Khong, Nanyang Technological University, Singapore
AASP-L1.2: DIRECTION-OF-ARRIVAL AND DIFFUSENESS ESTIMATION ABOVE SPATIAL ALIASING FOR SYMMETRICAL DIRECTIONAL MICROPHONE ARRAYS
Archontis Politis, Symeon Delikaris-Manias, Ville Pulkki, Aalto University, Finland
AASP-L1.3: ON FREQUENCY DOMAIN MODELS FOR TDOA ESTIMATION
Jesper Rindom Jensen, Aalborg University, Denmark; Jesper Kjær Nielsen, Aalborg University, Bang & Olufsen A/S, Denmark; Mads Græsbøll Christensen, Søren Holdt Jensen, Aalborg University, Denmark
AASP-L1.4: MAXIMUM LIKELIHOOD APPROACH TO "INFORMED" SOUND SOURCE LOCALIZATION FOR HEARING AID APPLICATIONS
Mojtaba Farmani, Aalborg University, Denmark; Michael Syskind Pedersen, Oticon A/S, Denmark; Zheng-Hua Tan, Jesper Jensen, Aalborg University, Denmark
AASP-L1.5: A NOVEL TIME-DELAY-OF-ARRIVAL ESTIMATION TECHNIQUE FOR MULTI-MICROPHONE AUDIO PROCESSING
Jes Thyssen, Ashutosh Pandey, Jonas (Bengt) Borgstrom, Broadcom Corporation, United States
AASP-L1.6: REPRESENTATION AND MODELING OF SPHERICAL HARMONICS MANIFOLD FOR SOURCE LOCALIZATION
Arun Parthasarathy, Saurabh Kataria, Lalan Kumar, Rajesh Hegde, Indian Institute of Technology Kanpur, India
AASP-L2.1: SINGLE-CHANNEL BLIND ESTIMATION OF REVERBERATION PARAMETERS
Clement S. J. Doire, Mike Brookes, Patrick A. Naylor, Imperial College London, United Kingdom; Dave Betts, Christopher M. Hicks, Mohammad A. Dmour, CEDAR Audio Ltd, United Kingdom; Søren Holdt Jensen, Aalborg University, Denmark
AASP-L2.2: DIRECT-AMBIENT DECOMPOSITION USING PARAMETRIC WIENER FILTERING WITH SPATIAL CUE CONTROL
Christian Uhle, Emanuël A.P. Habets, International Audio Laboratories Erlangen, Germany
AASP-L2.3: BLUR KERNEL ESTIMATION APPROACH TO BLIND REVERBERATION TIME ESTIMATION
Felicia Lim, Imperial College London, United Kingdom; Mark R. P. Thomas, Ivan J. Tashev, Microsoft Research, United States
AASP-L2.4: DIRECT-TO-REVERBERANT RATIO ESTIMATION USING A NULL-STEERED BEAMFORMER
James Eaton, Alastair Moore, Patrick A. Naylor, Imperial College London, United Kingdom; Jan Skoglund, Google Inc., United States
AASP-L2.5: FOREGROUND SUPPRESSION FOR CAPTURING AND REPRODUCTION OF CROWDED ACOUSTIC ENVIRONMENTS
Nikolaos Stefanakis, Athanasios Mouchtaris, Foundation of Research and Technology Hellas, Greece
AASP-L2.6: NOISE ROBUST INTEGRATION FOR BLIND AND NON-BLIND REVERBERATION TIME ESTIMATION
Christian Schüldt, Peter Händel, Royal Institute of Technology KTH, Sweden
AASP-L3.1: SPEECH SEPARATION BASED ON SIGNAL-NOISE-DEPENDENT DEEP NEURAL NETWORKS FOR ROBUST SPEECH RECOGNITION
Yan-Hui Tu, Jun Du, Li-Rong Dai, University of Science and Technology of China, China; Chin-Hui Lee, Georgia Institute of Technology, United States
AASP-L3.2: DEEP NMF FOR SPEECH SEPARATION
Jonathan Le Roux, John R. Hershey, Mitsubishi Electric Research Laboratories (MERL), United States; Felix Weninger, Technische Universität München, Germany
AASP-L3.3: SPEAKER AND NOISE INDEPENDENT ONLINE SINGLE-CHANNEL SPEECH ENHANCEMENT
Francois Germain, Stanford University, United States; Gautham Mysore, Adobe Systems Inc., United States
AASP-L3.4: SCALABLE AUDIO SEPARATION WITH LIGHT KERNEL ADDITIVE MODELLING
Antoine Liutkus, INRIA, France; Derry Fitzgerald, Cork Institute of Technology, Ireland; Zafar Rafii, Gracenote, United States
AASP-L3.5: PHASE RECOVERY IN NMF FOR AUDIO SOURCE SEPARATION: AN INSIGHTFUL BENCHMARK
Paul Magron, Roland Badeau, Bertrand David, Télécom ParisTech, France
AASP-L3.6: MULTI-RESOLUTION SIGNAL DECOMPOSITION WITH TIME-DOMAIN SPECTROGRAM FACTORIZATION
Hirokazu Kameoka, The University of Tokyo / Nippon Telegraph and Telephone Corporation, Japan
AASP-L4.1: MULTI-CHANNEL PSD ESTIMATORS FOR SPEECH DEREVERBERATION – A THEORETICAL AND EXPERIMENTAL COMPARISON
Adam Kuklasinski, Oticon A/S and Aalborg University, Denmark; Simon Doclo, Timo Gerkmann, University of Oldenburg, Germany; Søren Holdt Jensen, Aalborg University, Denmark; Jesper Jensen, Oticon A/S and Aalborg University, Denmark
AASP-L4.2: MULTI-CHANNEL LINEAR PREDICTION-BASED SPEECH DEREVERBERATION WITH LOW-RANK POWER SPECTROGRAM APPROXIMATION
Ante Jukic, Nasser Mohammadiha, University of Oldenburg, Germany; Toon van Waterschoot, KU Leuven, Belgium; Timo Gerkmann, Simon Doclo, University of Oldenburg, Germany
AASP-L4.3: VARIATIONAL BAYES STATE SPACE MODEL FOR ACOUSTIC ECHO REDUCTION AND DEREVERBERATION
Masahito Togami, Hitachi Ltd., Japan
AASP-L4.4: NESTED GENERALIZED SIDELOBE CANCELLER FOR JOINT DEREVERBERATION AND NOISE REDUCTION
Ofer Schwartz, Sharon Gannot, Bar-Ilan University, Israel; Emanuël A.P. Habets, International Audio Laboratories Erlangen, Germany
AASP-L4.5: BINAURAL SPEECH ENHANCEMENT WITH INSTANTANEOUS COHERENCE SMOOTHING USING THE CEPSTRAL CORRELATION COEFFICIENT
Rainer Martin, Masoumeh Azarpour, Gerald Enzner, Ruhr-Universität Bochum, Germany
AASP-L4.6: EXPLORING MULTI-CHANNEL FEATURES FOR DENOISING-AUTOENCODER-BASED SPEECH ENHANCEMENT
Shoko Araki, NTT Corporation, Japan; Tomoki Hayashi, Nagoya University, Japan; Marc Delcroix, Masakiyo Fujimoto, NTT Corporation, Japan; Kazuya Takeda, Nagoya University, Japan; Tomohiro Nakatani, NTT Corporation, Japan
AASP-L5.1: SINGING VOICE DETECTION WITH DEEP RECURRENT NEURAL NETWORKS
Simon Leglaive, Télécom ParisTech / CNRS LTCI, France; Romain Hennequin, Audionamix, France; Roland Badeau, Télécom ParisTech / CNRS LTCI, France
AASP-L5.2: EXTRACTING SINGING VOICE FROM MUSIC RECORDINGS BY CASCADING AUDIO DECOMPOSITION TECHNIQUES
Jonathan Driedger, Meinard Mueller, International Audio Laboratories Erlangen, Germany
AASP-L5.3: LATENT TIME-FREQUENCY COMPONENT ANALYSIS: A NOVEL PITCH-BASED APPROACH FOR SINGING VOICE SEPARATION
Xiu Zhang, Wei Li, Fudan University, China; Bilei Zhu, SAP Labs, China
AASP-L5.4: STRUCTURAL SEGMENTATION OF HINDUSTANI CONCERT AUDIO WITH POSTERIOR FEATURES
Prateek Verma, Vinutha T P, Parthe Pandit, Preeti Rao, Indian Institute of Technology Bombay, India
AASP-L5.5: SECTION-LEVEL MODELING OF MUSICAL AUDIO FOR LINKING PERFORMANCES TO SCORES IN TURKISH MAKAM MUSIC
Andre Holzapfel, Umut Simsekli, Bogazici University, Turkey; Sertan Sentürk, Universidad Pompeu Fabra, Spain; Ali Taylan Cemgil, Bogazici University, Turkey
AASP-L5.6: ESTIMATING DOUBLE THUMBNAILS FOR MUSIC RECORDINGS
Nanzhu Jiang, Meinard Mueller, International Audio Laboratories Erlangen, Germany
AASP-L6.1: SOUND EVENT DETECTION IN REAL LIFE RECORDINGS USING COUPLED MATRIX FACTORIZATION OF SPECTRAL REPRESENTATIONS AND CLASS ACTIVITY ANNOTATIONS
Annamaria Mesaros, Toni Heittola, Tampere University of Technology, Finland; Onur Dikmen, Aalto University, Finland; Tuomas Virtanen, Tampere University of Technology, Finland
AASP-L6.2: ACOUSTIC SCENE ANALYSIS FROM ACOUSTIC EVENT SEQUENCE WITH INTERMITTENT MISSING EVENT
Keisuke Imoto, The Graduate University for Advanced studies, Japan; Nobutaka Ono, National Institute of Informatics, Japan
AASP-L6.3: ROBUST UNSUPERVISED DETECTION OF HUMAN SCREAMS IN NOISY ACOUSTIC ENVIRONMENTS
Mahesh Kumar Nandwana, Ali Ziaei, John H.L. Hansen, Center for Robust Speech Systems (CRSS), United States
AASP-L6.4: ACOUSTIC FEATURE EXTRACTION BY TENSOR-BASED SPARSE REPRESENTATION FOR SOUND EFFECTS CLASSIFICATION
Xueyuan Zhang, Qianhua He, Xiaohui Feng, South China University of Technology, China
AASP-L6.5: UNSUPERVISED FEATURE LEARNING FOR URBAN SOUND CLASSIFICATION
Justin Salamon, Juan Bello, New York University, United States
AASP-L6.6: COMBINING ROBUST SPIKE CODING WITH SPIKING NEURAL NETWORKS FOR SOUND EVENT CLASSIFICATION
Jonathan Dennis, Huy Dat Tran, Haizhou Li, Institute for Infocomm Research, Singapore
AASP-P1.1: NOVEL AUDIO FEATURES FOR CAPTURING TEMPO SALIENCE IN MUSIC RECORDINGS
Balaji Thoshkahna, Fraunhofer Institute for Integrated Circuits IIS, Germany; Meinard Mueller, Venkatesh Kulkarni, Nanzhu Jiang, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
AASP-P1.2: MULTIPITCH ESTIMATION USING A PLCA-BASED MODEL: IMPACT OF PARTIAL USER ANNOTATION
Camila de Andrade Scatolini, Gaël Richard, Benoit Fuentes, Télécom ParisTech, France
AASP-P1.3: MULTI-INSTRUMENT DETECTION IN POLYPHONIC MUSIC USING GAUSSIAN MIXTURE BASED FACTORIAL HMM
Ranjani H. G., Sreenivas T. V., Indian Institute of Science, India
AASP-P1.4: A FEEDBACK FRAMEWORK FOR IMPROVED CHORD RECOGNITION BASED ON NMF-BASED APPROXIMATE NOTE TRANSCRIPTION
Satoshi Maruo, Kazuyoshi Yoshii, Katsutoshi Itoyama, Kyoto University, Japan; Matthias Mauch, Queen Mary University of London, United Kingdom; Masataka Goto, National Institute of Advanced Industrial Science and Technology, Japan
AASP-P1.5: OPTIMAL SINGLE-CHANNEL NOISE REDUCTION FILTERING MATRICES FROM THE PEARSON CORRELATION COEFFICIENT PERSPECTIVE
Jiaolong Yu, Northwestern Polytechnical University, China; Jacob Benesty, University of Quebec, Canada; Gongping Huang, Jingdong Chen, Northwestern Polytechnical University, China
AASP-P1.6: INVESTIGATION OF A PARAMETRIC GAIN APPROACH TO SINGLE-CHANNEL SPEECH ENHANCEMENT
Gongping Huang, Jingdong Chen, Northwestern Polytechnical University, China; Benesty Jacob, University of Quebec, Canada
AASP-P1.7: DIRECTIONALITY ASSESSMENT OF ADAPTIVE BINAURAL BEAMFORMING WITH NOISE SUPPRESSION IN HEARING AIDS
Marc Aubreville, Stefan Petrausch, Sivantos GmbH, Germany
AASP-P1.8: ON SPEECH QUALITY ESTIMATION OF PHASE-AWARE SINGLE-CHANNEL SPEECH ENHANCEMENT
Andreas Gaich, Pejman Mowlaee, Graz University of Technology, Austria
AASP-P1.10: EFFICIENT AUDIO DECLIPPING USING REGULARIZED LEAST SQUARES
Mark Harvilla, Richard Stern, Carnegie Mellon University, United States
AASP-P1.11: SYSTEM ARCHITECTURES AND DIGITAL SIGNAL PROCESSING ALGORITHMS FOR ENHANCING THE OUTPUT AUDIO QUALITY OF STEREO FM BROADCAST RECEIVERS
Juin-Hwey Chen, Thomas Baker, Evan McCarthy, Jes Thyssen, Broadcom Corporation, United States
AASP-P1.12: ON CLOCK SYNCHRONIZATION FOR MULTI-MICROPHONE SPEECH PROCESSING IN WIRELESS ACOUSTIC SENSOR NETWORKS
Yuan Zeng, Richard C. Hendriks, Nikolay Gaubitch, Delft University of Technology, Netherlands
AASP-P2.1: INFORMED MONAURAL SOURCE SEPARATION OF MUSIC BASED ON CONVOLUTIONAL SPARSE CODING
Ping-Keng Jao, Yi-Hsuan Yang, Academia Sinica, Taiwan; Brendt Wohlberg, Los Alamos National Laboratory, United States
AASP-P2.2: LOW-LATENCY SOUND-SOURCE-SEPARATION USING NON-NEGATIVE MATRIX FACTORISATION WITH COUPLED ANALYSIS AND SYNTHESIS DICTIONARIES
Tom Barker, Tuomas Virtanen, Tampere University of Technology, Finland; Niels Henrik Pontoppidan, Oticon A/S, Denmark
AASP-P2.3: A PAIRWISE ALGORITHM FOR PITCH ESTIMATION AND SPEECH SEPARATION USING DEEP STACKING NETWORK
Hui Zhang, Xueliang Zhang, Inner Mongolia University, China; Shuai Nie, University of Chinese Academy of Sciences, China; Guanglai Gao, Inner Mongolia University, China; Wenju Liu, University of Chinese Academy of Sciences, China
AASP-P2.4: AUDIO SOURCE SEPARATION USING A REDUNDANT LIBRARY OF SOURCE SPECTRAL BASES FOR NON-NEGATIVE TENSOR FACTORIZATION
Mahmoud Fakhry, University of Trento, Italy; Piergiorgio Svaizer, Maurizio Omologo, Fondazione Bruno Kessler-irst, Italy
AASP-P2.5: RELATIVE GROUP SPARSITY FOR NON-NEGATIVE MATRIX FACTORIZATION WITH APPLICATION TO ON-THE-FLY AUDIO SOURCE SEPARATION
Dalia El Badawy, École Polytechnique Fédérale de Lausanne, Switzerland; Alexey Ozerov, Ngoc Q. K. Duong, Technicolor, France
AASP-P2.6: NMF-BASED BLIND SOURCE SEPARATION USING A LINEAR PREDICTIVE CODING ERROR CLUSTERING CRITERION
Xin Guo, École Polytechnique Fédérale de Lausanne, Switzerland; Stefan Uhlich, Sony Deutschland GmbH, Germany; Yuki Mitsufuji, Sony Corporation, Japan
AASP-P2.7: GENERALIZED WIENER FILTERING WITH FRACTIONAL POWER SPECTROGRAMS
Antoine Liutkus, INRIA, France; Roland Badeau, Institut Mines-Télécom, Télécom ParisTech, CNRS LTCI, France
AASP-P2.8: A SIMPLE USER INTERFACE SYSTEM FOR RECOVERING PATTERNS REPEATING IN TIME AND FREQUENCY IN MIXTURES OF SOUNDS
Zafar Rafii, Gracenote, United States; Antoine Liutkus, INRIA, France; Bryan Pardo, Northwestern University, United States
AASP-P2.9: EFFICIENT MULTICHANNEL NONNEGATIVE MATRIX FACTORIZATION EXPLOITING RANK-1 SPATIAL MODEL
Daichi Kitamura, The Graduate University for Advanced Studies, Japan; Nobutaka Ono, National Institute of Informatics, The Graduate University for Advanced Studies (SOKENDAI), Japan; Hiroshi Sawada, Nippon Telegraph and Telephone Corporation, Japan; Hirokazu Kameoka, Nippon Telegraph and Telephone Corporation, The University of Tokyo, Japan; Hiroshi Saruwatari, The University of Tokyo, Japan
AASP-P2.10: NON-LINEAR DISTORTION REDUCTION FOR A LOUDSPEAKER BASED ON RECURSIVE SOURCE EQUALIZATION
Hirofumi Nakajima, Naoto Sakata, Kihiro Hashino, Kogakuin University, Japan
AASP-P2.11: 3D NUMERICAL MODELING OF PARAMETRIC SPEAKER USING FINITE-DIFFERENCE TIME-DOMAIN
Lijun Zhu, Georgia Institute of Technology, United States; Dinei Florencio, Microsoft Research, United States
AASP-P2.12: NOVEL SOUND MIXING METHOD FOR VOICE AND BACKGROUND MUSIC
Wataru Owaki, Kota Takahashi, The University of Electro-Communications, Japan
AASP-P3.1: OPTIMAL DESIGN OF DIRECTIVITY PATTERNS FOR ENDFIRE LINEAR MICROPHONE ARRAYS
Liheng Zhao, Jacob Benesty, INRS-EMT, University of Quebec, Canada; Jingdong Chen, Northwestern Polytechnical University, China
AASP-P3.2: A SIMPLE MODIFICATION TO FACILITATE ROBUST GENERALIZED SIDELOBE CANCELLER FOR HEARING AIDS
Meng Guo, Jan Mark de Haan, Jesper Jensen, Oticon A/S, Denmark
AASP-P3.3: ON DIRECTIVITY FACTOR OF THE FIRST-ORDER STEERABLE DIFFERENTIAL MICROPHONE ARRAY
Xiaoguang Wu, Huawei Chen, Nanjing University of Aeronautics and Astronautics, China
AASP-P3.4: L1-CONSTRAINED MVDR-BASED SELECTION OF NONIDENTICAL DIRECTIVITIES IN MICROPHONE ARRAY
Satoru Emura, NTT Corporation, Japan
AASP-P3.5: CURVATURE-BASED OPTIMIZATION OF THE TRADE-OFF PARAMETER IN THE SPEECH DISTORTION WEIGHTED MULTICHANNEL WIENER FILTER
Ina Kodrasi, Daniel Marquardt, Simon Doclo, University of Oldenburg, Germany
AASP-P3.6: ESTIMATION OF RELATIVE TRANSFER FUNCTION IN THE PRESENCE OF STATIONARY NOISE BASED ON SEGMENTAL POWER SPECTRAL DENSITY MATRIX SUBTRACTION
Xiaofei Li, INRIA, France; Laurent Girin, GIPSA-Lab, France; Radu Horaud, INRIA, France; Sharon Gannot, Bar-Ilan University, Israel
AASP-P3.7: SPECTRAL MASK ESTIMATION USING DEEP NEURAL NETWORKS FOR INTER-SENSOR DATA RATIO MODEL BASED ROBUST DOA ESTIMATION
Weiqiao Zheng, Yuexian Zou, Peking University, China; Christian Ritz, University of Wollongong, Australia
AASP-P3.8: MICROPHONE ARRAY POSITION CALIBRATION IN THE FREQUENCY DOMAIN USING A SINGLE UNKNOWN SOURCE
Thibault Nowakowski, Laurent Daudet, Julien de Rosny, Institut Langevin, France
AASP-P3.9: MASK+:DATA-DRIVEN REGIONS SELECTION FOR ACOUSTIC FINGERPRINTING
Lucas Ondel, Brno University, Czech Republic; Xavier Anguera, Jordi Luque, Telefonica Research, Spain
AASP-P3.10: AN INFORMATION-THEORETIC METRIC OF FINGERPRINT EFFECTIVENESS
TJ Tsai, Gerald Friedland, International Computer Science Institute, United States; Xavier Anguera, Telefonica Research, Spain
AASP-P3.11: ROBUST AND RELIABLE AUDIO WATERMARKING BASED ON PHASE CODING
Nhut Minh Ngo, Masashi Unoki, Japan Advanced Institute of Science and Technology, Japan
AASP-P3.12: MULTI-SHIFT PRINCIPAL COMPONENT ANALYSIS BASED PRIMARY COMPONENT EXTRACTION FOR SPATIAL AUDIO REPRODUCTION
Jianjun He, Woon-Seng Gan, Nanyang Technological University, Singapore
AASP-P4.1: PHASE-OPTIMIZED K-SVD FOR SIGNAL EXTRACTION FROM UNDERDETERMINED MULTICHANNEL SPARSE MIXTURES
Antoine Deleforge, Walter Kellermann, University of Erlangen-Nuremberg, Germany
AASP-P4.2: RESIDUAL NOISE CONTROL USING A PARAMETRIC MULTICHANNEL WIENER FILTER
Sebastian Braun, Konrad Kowalczyk, Emanuël A.P. Habets, International Audio Laboratories Erlangen, Germany
AASP-P4.3: UTILIZING SPECTRO-TEMPORAL CORRELATIONS FOR AN IMPROVED SPEECH PRESENCE PROBABILITY BASED NOISE POWER ESTIMATION
Martin Krawczyk-Becker, Dörte Fischer, Timo Gerkmann, University of Oldenburg, Germany
AASP-P4.4: MODULATION WIENER FILTER FOR IMPROVING SPEECH INTELLIGIBILITY
Chung-Chien Hsu, Kah-Meng Cheong, Jen-Tzung Chien, Tai-Shih Chi, National Chiao Tung University, Taiwan
AASP-P4.5: CEPSTRAL NOISE SUBTRACTION FOR ROBUST AUTOMATIC SPEECH RECOGNITION
Robert Rehr, Timo Gerkmann, University of Oldenburg, Germany
AASP-P4.6: DETECTION AND SUPPRESSION OF KEYBOARD TRANSIENT NOISE IN AUDIO STREAMS WITH AUXILIARY KEYBED MICROPHONE
Simon Godsill, Herbert Buchner, University of Cambridge, United Kingdom; Jan Skoglund, Google Inc., United States
AASP-P4.8: HIERARCHICAL AND LOSSLESS CODING OF AUDIO OBJECTS IN DOLBY TRUEHD
Vinay Melkote, Dolby Laboratories, United States; Malcolm Law, Algol Applications Ltd, United Kingdom; Rhonda Wilson, Dolby Laboratories, United States
AASP-P4.9: SPECTRAL ENVELOPE RECONSTRUCTION VIA IGF FOR AUDIO TRANSFORM CODING
Christian R. Helmrich, International Audio Laboratories Erlangen, Germany; Andreas Niedermeier, Sascha Disch, Fraunhofer IIS, Germany; Florin Ghido, International Audio Laboratories Erlangen, Germany
AASP-P4.10: NOISE-SHAPING FOR CLOSED-LOOP MULTI-CHANNEL LINEAR PREDICTION
Niklas Koep, Magnus Schäfer, Peter Vary, RWTH Aachen University, Germany
AASP-P4.11: GLOBALLY OPTIMIZED DYNAMIC BIT-ALLOCATION STRATEGY FOR SUBBAND ADPCM-BASED LOW DELAY AUDIO CODING
Stephan Preihs, Jörn Ostermann, Leibniz Universität Hannover, Germany
AASP-P4.12: PARAMETER EXTRACTION FOR BASS GUITAR SOUND MODELS INCLUDING PLAYING STYLES
Gerald Schuller, Ilmenau University of Technology, Germany; Jakob Abesser, Christian Kehling, Fraunhofer Institute for Media Technology, Germany
AASP-P5.1: DOWNBEAT TRACKING WITH MULTIPLE FEATURES AND DEEP NEURAL NETWORKS
Simon Durand, Institut Mines-Telecom, Telecom ParisTech, France; Juan Bello, New York University, United States; Bertrand David, Gaël Richard, Institut Mines-Telecom, Telecom ParisTech, France
AASP-P5.2: ON AUTOMATIC DRUM TRANSCRIPTION USING NON-NEGATIVE MATRIX DECONVOLUTION AND ITAKURA SAITO DIVERGENCE
Axel Roebel, Jordi Pons Puig, Marco Liuni, IRCAM, France; Mathieu Lagrange, IRCCYN, France
AASP-P5.3: ON THE USE OF THE TEMPOGRAM TO DESCRIBE AUDIO CONTENT AND ITS APPLICATION TO MUSIC STRUCTURAL SEGMENTATION
Mi Tian, György Fazekas, Dawn A. A. Black, Mark Sandler, Queen Mary University of London, United Kingdom
AASP-P5.4: A CONDITIONAL RANDOM FIELD SYSTEM FOR BEAT TRACKING
Thomas Fillon, Parisson, France; Cyril Joder, European Patent Office, Germany; Simon Durand, Slim Essid, Institut Telecom, Telecom-ParisTech, CNRS LTCI, France
AASP-P5.5: PIANO MUSIC TRANSCRIPTION MODELING NOTE TEMPORAL EVOLUTION
Andrea Cogliati, Zhiyao Duan, University of Rochester, United States
AASP-P5.6: IMPROVING MUSIC AUTO-TAGGING WITH TRIGGER-BASED CONTEXT MODEL
Qin Yan, Cong Ding, Jingjing Yin, Yong Lv, Hohai University, China
AASP-P5.7: ON THE INFLUENCE OF MICROPHONE ARRAY GEOMETRY ON HRTF-BASED SOUND SOURCE LOCALIZATION
Mojtaba Farmani, Aalborg University, Denmark; Michael Syskind Pedersen, Oticon A/S, Denmark; Zheng-Hua Tan, Jesper Jensen, Aalborg University, Denmark
AASP-P5.8: MULTI-SOURCE DIRECTION-OF-ARRIVAL ESTIMATION IN A REVERBERANT ENVIRONMENT USING SINGLE ACOUSTIC VECTOR SENSOR
Kai Wu, Vaninirappuputhenpurayil Gopalan Reju, Andy W. H. Khong, Nanyang Technological University, Singapore
AASP-P5.9: ROBUST DOA ESTIMATION OF HEAVILY NOISY GUNSHOT SIGNALS
Angelo Borzino, José Apolinário, Military Institute of Engineering, Brazil; Marcello Campos, Federal University of Rio de Janeiro, Brazil
AASP-P5.10: A JOINT AUDIO-VISUAL APPROACH TO AUDIO LOCALIZATION
Jesper Rindom Jensen, Mads Græsbøll Christensen, Aalborg University, Denmark
AASP-P5.11: SOURCE COUNTING IN SPEECH MIXTURES BY NONPARAMETRIC BAYESIAN ESTIMATION OF AN INFINITE GAUSSIAN MIXTURE MODEL
Oliver Walter, Lukas Drude, Reinhold Haeb-Umbach, University of Paderborn, Germany
AASP-P6.1: MODELING INTER-NODE ACOUSTIC DEPENDENCIES WITH RESTRICTED BOLTZMANN MACHINE FOR DISTRIBUTED MICROPHONE ARRAY BASED BSS
Keisuke Kinoshita, Tomohiro Nakatani, NTT Corporation, Japan
AASP-P6.2: DESIGNING MULTICHANNEL SOURCE SEPARATION BASED ON SINGLE-CHANNEL SOURCE SEPARATION
Ana Ramírez López, Aalto University, Finland; Nobutaka Ono, National Institute of Informatics, Japan; Ulpu Remes, Kalle Palomäki, Mikko Kurimo, Aalto University, Finland
AASP-P6.3: IVA ALGORITHMS USING A MULTIVARIATE STUDENT’S T SOURCE PRIOR FOR SPEECH SOURCE SEPARATION IN REAL ROOM ENVIRONMENTS
Waqas Rafique, Syed Mohsen Naqvi, Philip J. B. Jackson, Jonathon A. Chambers, University of Surrey, United Kingdom
AASP-P6.4: EFFICIENT MANIFOLD PRESERVING AUDIO SOURCE SEPARATION USING LOCALITY SENSITIVE HASHING
Minje Kim, Paris Smaragdis, University of Illinois at Urbana-Champaign, United States; Gautham Mysore, Adobe Systems Inc., United States
AASP-P6.5: MUSIC SEPARATION GUIDED BY COVER TRACKS: DESIGNING THE JOINT NMF MODEL
Nathan Souviraà-Labastie, Université de Rennes 1, IRISA - UMR 6074, France; Emmanuel Vincent, INRIA, Centre de Nancy - Grand Est, France; Frédéric Bimbot, CNRS, IRISA - UMR 6074, France
AASP-P6.6: INFORMED SOURCE SEPARATION FROM MONAURAL MUSIC WITH LIMITED BINARY TIME-FREQUENCY ANNOTATION
Il-Young Jeong, Kyogu Lee, Seoul National University, Republic of Korea
AASP-P6.7: STATISTICAL MODELING OF BINAURAL SIGNAL AND ITS APPLICATION TO BINAURAL SOURCE SEPARATION
Yuki Murota, Nara Institute of Science and Technology, Japan; Daichi Kitamura, The Graduate University for Advanced Studies, Japan; Shoichi Koyama, Hiroshi Saruwatari, The University of Tokyo, Japan; Satoshi Nakamura, Nara Institute of Science and Technology, Japan
AASP-P6.8: ESTIMATION OF MULTIPATH PROPAGATION DELAYS AND INTERAURAL TIME DIFFERENCES FROM 3-D HEAD SCANS
Hannes Gamper, Mark R. P. Thomas, Ivan J. Tashev, Microsoft Corporation, United States
AASP-P6.9: OPTICALLY VISUALIZED SOUND FIELD RECONSTRUCTION BASED ON SPARSE SELECTION OF POINT SOUND SOURCES
Kohei Yatabe, Yasuhiro Oikawa, Waseda university, Japan
AASP-P6.10: VISUALIZATION OF SOUND FIELD BY MEANS OF SCHLIEREN METHOD WITH SPATIO-TEMPORAL FILTERING
Nachanant Chitanont, Keita Yaginuma, Kohei Yatabe, Yasuhiro Oikawa, Waseda University, Japan
AASP-P6.11: A 3D MODEL FOR ROOM BOUNDARY ESTIMATION
Luca Remaggi, Philip J. B. Jackson, Wenwu Wang, Jonathon A. Chambers, University of Surrey, United Kingdom
AASP-P6.12: JOINT OPTIMIZATION OF LOUDSPEAKER PLACEMENT AND RADIATION PATTERNS FOR SOUND FIELD REPRODUCTION
Hanieh Khalilian, Ivan Bajic, Rodney Vaughan, Simon Fraser University, Canada
AASP-P7.1: A DIRECTIONAL NOISE SUPPRESSOR WITH A SPECIFIED BEAMWIDTH
Akihiko Sugiyama, NEC Corporation, Japan; Ryoji Miyahara, NEC Engineering Ltd., Japan
AASP-P7.2: TRINICON-BSS SYSTEM INCORPORATING ROBUST DUAL BEAMFORMERS FOR NOISE REDUCTION
Craig Anderson, Victoria University of Wellington, New Zealand; Stefan Meier, Walter Kellermann, University of Erlangen-Nuremberg, Germany; Paul Teal, Victoria University of Wellington, New Zealand; Mark Poletti, Callaghan Innovation, New Zealand
AASP-P7.3: MICROPHONE ARRAY FOR INCREASING MUTUAL INFORMATION BETWEEN SOUND SOURCES AND OBSERVATION SIGNALS
Kenta Niwa, Tatsuya Kako, Kazunori Kobayashi, NTT Media Intelligence Laboratories, Japan
AASP-P7.4: MINIMUM BAYES RISK SIGNAL DETECTION FOR SPEECH ENHANCEMENT BASED ON A NARROWBAND DOA MODEL
Maja Taseska, Emanuël A.P. Habets, International Audio Laboratories Erlangen, Germany
AASP-P7.5: PERFORMANCE ANALYSIS OF THE COVARIANCE SUBTRACTION METHOD FOR RELATIVE TRANSFER FUNCTION ESTIMATION AND COMPARISON TO THE COVARIANCE WHITENING METHOD
Shmulik Markovich-Golan, Sharon Gannot, Bar-Ilan University, Israel
AASP-P7.6: OPTIMIZATION FOR RANDOMLY DESCRIBED ARRAYS BASED ON GEOMETRY DESCRIPTORS
Jingjing Yu, Beijing Jiaotong University, China; Kevin D. Donohue, University of Kentucky, United States
AASP-P7.7: RAKING ECHOES IN THE TIME DOMAIN
Robin Scheibler, Ivan Dokmanic, Martin Vetterli, École Polytechnique Fédérale de Lausanne, Switzerland
AASP-P7.9: ROBUST SOUND EVENT RECOGNITION USING CONVOLUTIONAL NEURAL NETWORKS
Haomin Zhang, Ian McLoughlin, Yan Song, The University of Science and Technology of China, China
AASP-P7.10: TEMPORAL ENTROPY-BASED TEXTUREDNESS INDICATOR FOR AUDIO SIGNALS
Olfa Fraj, Raja Ghozi, Mériem Jaïdane-Saïdane, Ecole Nationale d'Ingénieurs de Tunis, Tunisia
AASP-P8.1: A DYNAMIC PROGRAMMING VARIANT OF NON-NEGATIVE MATRIX DECONVOLUTION FOR THE TRANSCRIPTION OF STRUCK STRING INSTRUMENTS
Sebastian Ewert, Mark D. Plumbley, Mark Sandler, Queen Mary University of London, United Kingdom
AASP-P8.2: SINGING VOICE ANALYSIS AND EDITING BASED ON MUTUALLY DEPENDENT F0 ESTIMATION AND SOURCE SEPARATION
Yukara Ikemiya, Kazuyoshi Yoshii, Katsutoshi Itoyama, Graduate School of Informatics, Kyoto University, Japan
AASP-P8.3: SPARSE CHROMA ESTIMATION FOR HARMONIC AUDIO
Ted Kronvall, Maria Juhlin, Stefan Ingi Adalbjörnsson, Andreas Jakobsson, Lund University, Sweden
AASP-P8.4: KERNEL ADDITIVE MODELING FOR INTERFERENCE REDUCTION IN MULTI-CHANNEL MUSIC RECORDINGS
Thomas Praetzlich, International Audio Laboratories Erlangen, Germany; Rachel Bittner, New York University, United States; Antoine Liutkus, INRIA, France; Meinard Mueller, International Audio Laboratories Erlangen, Germany
AASP-P8.5: COMPENSATING FOR ASYNCHRONIES BETWEEN MUSICAL VOICES IN SCORE-PERFORMANCE ALIGNMENT
Siying Wang, Sebastian Ewert, Simon Dixon, Queen Mary University of London, United Kingdom
AASP-P8.6: MODELLING THE DECAY OF PIANO SOUNDS
Tian Cheng, Simon Dixon, Matthias Mauch, Queen Mary University of London, United Kingdom
AASP-P8.7: A STATE-SPACE PARTITIONED-BLOCK ADAPTIVE FILTER FOR ECHO CANCELLATION USING INTER-BAND CORRELATIONS IN THE KALMAN GAIN COMPUTATION
María Luis Valero, International Audio Laboratories Erlangen, Germany; Edwin Mabande, Fraunhofer Institut für Integrierte Schaltungen, Germany; Emanuël A.P. Habets, International Audio Laboratories Erlangen, Germany
AASP-P8.8: AN IMPROVED VARIABLE STEP-SIZE ZERO-POINT ATTRACTING PROJECTION ALGORITHM
Jianming Liu, Steven Grant, Missouri University of Science and Technology, United States
AASP-P8.9: EFFICIENT FXLMS ALGORITHM WITH SIMPLIFIED SECONDARY PATH MODELS
Iman Tabatabaei Ardekani, Hamid Sharifzadeh, Unitec Institute of Technology, New Zealand; Waleed Abdulla, Auckland University, New Zealand; Saeed Ur Rehman, Unitec Institute of Technology, New Zealand
AASP-P8.10: NON-LINEAR ACOUSTIC ECHO CANCELLATION USING EMPIRICAL MODE DECOMPOSITION
Leela K. Gudupudi, EURECOM, France; Navin Chatlani, Christophe Beaugeant, Intel, United States; Nicholas Evans, EURECOM, France
AASP-P9.1: STRUCTURED SPARSE SIGNAL MODELS AND DECOMPOSITION ALGORITHM FOR SUPER-RESOLUTION IN SOUND FIELD RECORDING AND REPRODUCTION
Shoichi Koyama, Naoki Murata, Hiroshi Saruwatari, The University of Tokyo, Japan
AASP-P9.2: NEAR-FIELD SOUND PROPAGATION BASED ON A CIRCULAR AND LINEAR ARRAY COMBINATION
Takuma Okamoto, National Institute of Information and Communications Technology, Japan
AASP-P9.3: PARAMETRIC BINAURAL RENDERING UTILIZING COMPACT MICROPHONE ARRAYS
Symeon Delikaris-Manias, Juha Vilkamo, Ville Pulkki, Aalto University, Finland
AASP-P9.4: A DOWN-MIXING METHOD FOR 22.2 MULTICHANNEL SYSTEM REPRODUCTION
Song Wang, Ruimin Hu, Shihong Chen, Xiaochen Wang, Yuhong Yang, Weiping Tu, Wuhan University, China
AASP-P9.5: ON THE PREPROCESSING AND POSTPROCESSING OF HRTF INDIVIDUALIZATION BASED ON SPARSE REPRESENTATION OF ANTHROPOMETRIC FEATURES
Jianjun He, Woon-Seng Gan, Ee-Leng Tan, NTU, Singapore
AASP-P9.6: BINAURAL MULTICHANNEL WIENER FILTER WITH DIRECTIONAL INTERFERENCE REJECTION
Elior Hadad, Bar-Ilan University, Israel; Daniel Marquardt, Simon Doclo, University of Oldenburg, Germany; Sharon Gannot, Bar-Ilan University, Israel
AASP-P9.7: COMMON PART ESTIMATION OF ACOUSTIC FEEDBACK PATHS IN HEARING AIDS OPTIMIZING MAXIMUM STABLE GAIN
Henning Schepker, Simon Doclo, University of Oldenburg, Germany
AASP-P9.8: INTERAURAL COHERENCE PRESERVATION IN MWF-BASED BINAURAL NOISE REDUCTION ALGORITHMS USING PARTIAL NOISE ESTIMATION
Daniel Marquardt, Volker Hohmann, Simon Doclo, University of Oldenburg, Germany
AASP-P9.9: ACTIVE FEEDBACK NOISE CONTROL IN THE PRESENCE OF IMPULSIVE DISTURBANCES
Maciej Niedzwiecki, Michal Meller, Gdansk University of Technology, Poland
AASP-P9.10: IMPROVED PARALLEL FEEDBACK ACTIVE NOISE CONTROL USING LINEAR PREDICTION FOR ADAPTIVE NOISE DECOMPOSITION
Anshuman Ganguly, Chandan Karadagur Ananda Reddy, Issa Panahi, The University of Texas at Dallas, United States
AASP-P9.11: STABILITY ANALYSIS OF THE FBANC SYSTEM HAVING DELAY ERROR IN THE ESTIMATED SECONDARY PATH MODEL
Seong-Pil Moon, Kyou-Jung Son, Tae-Gyu Chang, Chung-Ang University, Republic of Korea
AASP-P10.1: A DIMENSIONAL CONTEXTUAL SEMANTIC MODEL FOR MUSIC DESCRIPTION AND RETRIEVAL
Michele Buccoli, Alessandro Gallo, Massimiliano Zanoni, Augusto Sarti, Stefano Tubaro, Politecnico di Milano, Italy
AASP-P10.2: AN EVALUATION OF METHODOLOGIES FOR MELODIC SIMILARITY IN AUDIO RECORDINGS OF INDIAN ART MUSIC
Sankalp Gulati, Universitat Pompeu Fabra, Spain; Joan Serrà, Artificial Intelligence Research Institute, Spain; Xavier Serra, Universitat Pompeu Fabra, Spain
AASP-P10.3: PATTERN DISCOVERY FROM AUDIO RECORDINGS BY VARIABLE MARKOV ORACLE: A MUSIC INFORMATION DYNAMICS APPROACH
Cheng-i Wang, Shlomo Dubnov, University of California, San Diego, United States
AASP-P10.4: TONAL COMPLEXITY FEATURES FOR STYLE CLASSIFICATION OF CLASSICAL MUSIC
Christof Weiss, Fraunhofer Institute for Digital Media Technology, Germany; Meinard Müller, International Audio Laboratories Erlangen, Germany
AASP-P10.5: THE AMG1608 DATASET FOR MUSIC EMOTION RECOGNITION
Yu-An Chen, National Taiwan University, Taiwan; Yi-Hsuan Yang, Ju-Chiang Wang, Academia Sinica, Taiwan; Homer Chen, National Taiwan University, Taiwan
AASP-P10.6: A HISTOGRAM DENSITY MODELING APPROACH TO MUSIC EMOTION RECOGNITION
Ju-Chiang Wang, University of California, San Diego, United States; Hsin-Min Wang, Academia Sinica, Taiwan; Gert Lanckriet, University of California, San Diego, United States
AASP-P10.7: MATCHING MUSICAL THEMES BASED ON NOISY OCR AND OMR INPUT
Stefan Balke, Sanu Pulimootil Achankunju, Meinard Mueller, International Audio Laboratories Erlangen, Germany
AASP-P10.8: PHASE-SENSITIVE AND RECOGNITION-BOOSTED SPEECH SEPARATION USING DEEP RECURRENT NEURAL NETWORKS
Hakan Erdogan, Sabanci University - Mitsubishi Electric Research Laboratories, United States; John R. Hershey, Shinji Watanabe, Jonathan Le Roux, Mitsubishi Electric Research Laboratories (MERL), United States
AASP-P10.9: REPRESENTATION MODELS IN SINGLE CHANNEL SOURCE SEPARATION
Matthias Zöhrer, Franz Pernkopf, Graz University of Technology, Austria
AASP-P10.10: VOCAL ACTIVITY INFORMED SINGING VOICE SEPARATION WITH THE IKALA DATASET
Tak-Shing Chan, Academia Sinica, Taiwan; Tzu-Chun Yeh, Zhe-Cheng Fan, National Taiwan University, Taiwan; Hung-Wei Chen, iKala Interactive Media Inc., Taiwan; Li Su, Yi-Hsuan Yang, Academia Sinica, Taiwan; Roger Jang, National Taiwan University, Taiwan
AASP-P10.11: CHALLENGES IN DEPLOYING A MICROPHONE ARRAY TO LOCALIZE AND SEPARATE SOUND SOURCES IN REAL AUDITORY SCENES
Yoshiaki Bando, Kyoto University, Japan; Takuma Otsuka, NTT Corporation, Japan; Katsutoshi Itoyama, Kazuyoshi Yoshii, Kyoto University, Japan; Yoko Sasaki, Satoshi Kagami, National Institute of Advanced Industrial Science and Technology, Japan; Hiroshi G. Okuno, Waseda University, Japan
AASP-P11.1: MAXIMUM A POSTERIORI ESTIMATION OF ROOM IMPULSE RESPONSES
Dinei Florencio, Zhengyou Zhang, Microsoft Research, United States
AASP-P11.2: JOINT TIME- AND FREQUENCY-DOMAIN RESHAPING OF ROOM IMPULSE RESPONSES
Jan Ole Jungmann, Radoslaw Mazur, Alfred Mertins, University of Luebeck, Germany
AASP-P11.3: A ROBUST SPARSE APPROACH TO ACOUSTIC IMPULSE RESPONSE SHAPING
Lakshmi Krishnan, Paul Teal, Victoria University of Wellington, New Zealand; Terence Betlehem, Callaghan Innovation, New Zealand
AASP-P11.4: EFFICIENT BLIND ESTIMATION OF SUBBAND REVERBERATION TIME FROM SPEECH IN NON-DIFFUSE ENVIRONMENTS
Salomon Diether, Lukas Bruderer, ETH Zurich, Switzerland; Andreas Streich, Phonak AG, Switzerland; Hans-Andrea Loeliger, ETH Zurich, Switzerland
AASP-P11.5: DEREVERBERATION SWEET SPOT DILATION WITH COMBINED CHANNEL EQUALIZATION AND BEAMFORMING
Mark R. P. Thomas, Hannes Gamper, Ivan J. Tashev, Microsoft Research, United States
AASP-P11.6: A BAYESIAN APPROACH TO SPATIAL FILTERING AND DIFFUSE POWER ESTIMATION FOR JOINT DEREVERBERATION AND NOISE REDUCTION
Soumitro Chakrabarty, Oliver Thiergart, Emanuël A.P. Habets, International Audio Laboratories Erlangen, Germany
AASP-P11.9: BIRD-PHRASE SEGMENTATION AND VERIFICATION: A NOISE-ROBUST TEMPLATE-BASED APPROACH
Kantapon Kaewtip, Lee Tan, Charles Taylor, Abeer Alwan, University of California, Los Angeles, United States
AASP-P11.10: SUPERVISED HIERARCHICAL SEGMENTATION FOR BIRD SONG RECORDING
Teresa V. Tjahja, Xiaoli Z. Fern, Raviv Raich, Anh T. Pham, Oregon State University, United States
AASP-P11.11: HMM-BASED MODELLING OF INDIVIDUAL SYLLABLES FOR BIRD SPECIES RECOGNITION FROM AUDIO FIELD RECORDINGS
Peter Jancovic, Masoud Zakeri, University of Birmingham, United Kingdom; Munevver Kokuer, Birmingham City University, United Kingdom; Martin Russell, University of Birmingham, United Kingdom
AASP-P11.12: CLASSIFICATION OF WHALE VOCALIZATIONS USING THE WEYL TRANSFORM
Yin Xian, Andrew Thompson, Qiang Qiu, Loren Nolte, Douglas Nowacek, Jianfeng Lu, Robert Calderbank, Duke University, United States
BISP-L1.1: LEARNING THE SPARSITY BASIS IN LOW-RANK PLUS SPARSE MODEL FOR DYNAMIC MRI RECONSTRUCTION
Angshul Majumdar, IIITD, India; Rabab Ward, University of British Columbia, Canada
BISP-L1.2: 4D MODEL-BASED ITERATIVE RECONSTRUCTION FROM INTERLACED VIEWS
Kadri Aditya Mohan, Purdue University, United States; Singanallur V. Venkatakrishnan, Lawrence Berkeley National Laboratory, United States; John W. Gibbs, E. Begum Gulsoy, Northwestern University, United States; Xianghui Xiao, Argonne National Laboratory, United States; Marc De Graef, Carnegie Mellon University, United States; Peter W. Voorhees, Northwestern University, United States; Charles A. Bouman, Purdue University, United States
BISP-L1.3: COMBINING COMPRESSED SENSING WITH MOTION CORRECTION IN ACQUISITION AND RECONSTRUCTION FOR PET/MR
Thomas Küstner, Institute of Signal Processing and System Theory, Germany; Christian Würslin, Holger Schmidt, Department of Radiology, Germany; Bin Yang, Institute of Signal Processing and System Theory, Germany
BISP-L1.4: FUSION OF ULTRASOUND HARMONIC IMAGING WITH CLUTTER REMOVAL USING SPARSE SIGNAL SEPARATION
Javier Turek, Jeremias Sulam, Michael Elad, Irad Yavneh, Technion - Israel Institute of Technology, Israel
BISP-L1.5: TRACKING CHANGES IN FUNCTIONAL CONNECTIVITY OF BRAIN NETWORKS FROM RESTING-STATE FMRI USING PARTICLE FILTERS
M Faizan Ahmad, James Murphy, Deniz Vatansever, Emmanuel A Stamatakis, Simon Godsill, University of Cambridge, United Kingdom
BISP-L1.6: ON QUANTIFYING FACIAL EXPRESSION-RELATED ATYPICALITY OF CHILDREN WITH AUTISM SPECTRUM DISORDER
Tanaya Guha, Zhaojun Yang, Anil Ramakrishna, University of Southern California, United States; Ruth Grossman, Darren Hedley, Emerson College, United States; Sungbok Lee, Shrikanth S. Narayanan, University of Southern California, United States
BISP-L2.1: PHASE-BASED DETECTION OF INTENTIONAL STATE FOR ASYNCHRONOUS BRAIN–COMPUTER INTERFACE
Kaori Suefusa, Toshihisa Tanaka, Tokyo University of Agriculture and Technology, Japan
BISP-L2.2: SPIKES FROM COMPOUND ACTION POTENTIALS IN SIMULATED MICROELECTRODE RECORDINGS.
Kristian Weegink, John Varghese, Andrew Bradley, University of Queensland, Australia
BISP-L2.3: QUANTIFYING EDA SYNCHRONY THROUGH JOINT SPARSE REPRESENTATION: A CASE-STUDY OF COUPLES’ INTERACTIONS
Theodora Chaspari, University of Southern California, United States; Brian Baucom, University of Utah, United States; Adela C. Timmons, Andreas Tsiartas, Larissa Borofsky Del Piero, University of Southern California, United States; Katherine J.W. Baucom, University of Utah, United States; Panayiotis Georgiou, Gayla Margolin, Shrikanth S. Narayanan, University of Southern California, United States
BISP-L2.4: INFERRING CAUSAL CONNECTIVITY IN EPILEPTOGENIC ZONE USING DIRECTED INFORMATION
Rakesh Malladi, Rice University, United States; Giridhar P Kalamangalam, Nitin Tandon, The University of Texas Health Sciences Center, United States; Behnaam Aazhang, Rice University, United States
BISP-L2.5: EEG SOURCE RECONSTRUCTION PERFORMANCE AS A FUNCTION OF SKULL CONDUCTANCE CONTRAST
Sofie Therese Hansen, Lars Kai Hansen, Technical University of Denmark, Denmark
BISP-L2.6: A MULTI-MODAL APPROACH USING A NON-PARAMETRIC MODEL TO EXTRACT FETAL ECG
Saman Noorzadeh, Bertrand Rivet, GIPSA-Lab, France; Pierre-Yves Gumery, TIMC Lab., France
BISP-P1.1: COMBINING SPARSITY WITH RANK-DEFICIENCY FOR ENERGY EFFICIENT EEG SENSING AND TRANSMISSION OVER WIRELESS BODY AREA NETWORK
Angshul Majumdar, Ankita Shukla, IIITD, India; Rabab Ward, University of British Columbia, Canada
BISP-P1.2: LOCAL METRIC LEARNING FOR EEG-BASED PERSONAL IDENTIFICATION
Dongqi Cai, Kai Liu, Fei Su, Beijing University of Posts and Telecommunications, China
BISP-P1.3: EEG DIMENSIONALITY REDUCTION IN AUTOMATIC IDENTIFICATION OF SYNONYMY
Emilio Parisotto, University of Toronto, Canada; Youness Aliyari Ghassabeh, Toronto Rehabilitation Institute; University of Toronto, Canada; Siamak Freydoonnejad, University of Toronto, Canada; Frank Rudzicz, Toronto Rehabilitation Institute; University of Toronto, Canada
BISP-P1.4: SPARSE MODELS FOR DETERMINING ARTERIAL DYNAMICS
Thendral Ganesh, Indian Institute of Technology Madras, India; Jayaraj Joseph, Healthcare Technology Innovation Centre, India; Bharath Bhikkaji, Mohanasankar Sivaprakasam, Indian Institute of Technology Madras, India
BISP-P1.5: OPTIMAL SPATIAL FILTERING FOR AUDITORY STEADY-STATE RESPONSE DETECTION USING HIGH-DENSITY EEG
Wouter Biesmans, Alexander Bertrand, Jan Wouters, Marc Moonen, KU Leuven, Belgium
BISP-P1.6: ROBUST LONG TERM NEURAL SIGNAL DECODING BY ESTIMATING UNOBSERVED FEATURES
Vijay Aditya Tadipatri, Ahmed H. Tewfik, The University of Texas at Austin, United States; James Ashe, University of Minnesota, United States
BISP-P1.7: TIME-FREQUENCY IMAGE DESCRIPTORS-BASED FEATURES FOR EEG EPILEPTIC SEIZURE ACTIVITIES DETECTION AND CLASSIFICATION
Larbi Boubchir, University of Paris 8, France; Somaya Al-Maadeed, Qatar University, Qatar; Ahmed Bouridane, Northumbria University, United Kingdom; Arab Ali Chérif, University of Paris 8, France
BISP-P1.8: AN OPTIMAL DIMENSIONALITY SAMPLING SCHEME ON THE SPHERE FOR ANTIPODAL SIGNALS IN DIFFUSION MAGNETIC RESONANCE IMAGING
Alice Bates, Zubair Khalid, Rodney Kennedy, The Australian National University, Australia
BISP-P1.9: BLIND STAIN DECOMPOSITION FOR HISTO-PATHOLOGY IMAGES USING CIRCULAR NATURE OF CHROMA COMPONENTS
Xingyu Li, Konstantinos N. Plataniotis, University of Toronto, Canada
BISP-P2.1: MIXER-BASED SUBARRAY BEAMFORMING FOR SUB-NYQUIST SAMPLING ULTRASOUND ARCHITECTURES
Jonathon Spaulding, Stanford University, United States; Yonina C. Eldar, Technion - Israel Institute of Technology, Israel; Boris Murmann, Stanford University, United States
BISP-P2.2: SUPER-RESOLUTION ULTRAWIDEBAND ULTRASOUND IMAGING USING FOCUSED FREQUENCY TIME REVERSAL MUSIC
Foroohar Foroozan, InnoMind Technology, Canada; Parastoo Sadeghi, The Australian National University, Australia
BISP-P2.3: STABILIZATION TECHNIQUES FOR HIGH RESOLUTION ULTRASOUND IMAGING USING BEAMSPACE CAPON METHOD
Shigeaki Okumura, Hirofumi Taki, Toru Sato, Kyoto University, Japan
BISP-P2.4: UNDER-SAMPLED FUNCTIONAL MRI USING LOW-RANK PLUS SPARSE MATRIX DECOMPOSITION
Vimal Singh, Ahmed H. Tewfik, The University of Texas at Austin, United States; David Ress, Baylor College of Medicine, United States
BISP-P2.5: MULTIPLE INSTANCE LEARNING FOR BREAST MRI BASED ON GENERIC SPATIO-TEMPORAL FEATURES
Fahira Afzal Maken, Andrew Bradley, University of Queensland, Australia
BISP-P2.6: FAST MAGNETIC SUSCEPTIBILITY RECONSTRUCTION USING L0 NORM OF GRADIENT
Weijun Liu, Xiamen University, China; Jianzhong Lin, Zhongshan Hospital Xiamen University, China; Congbo Cai, Delu Zeng, Xinghao Ding, Xiamen University, China
BISP-P2.7: ENHANCED NONINVASIVE IMAGING SYSTEM FOR DISPERSIVE HIGHLY COHERENT SPACE
Muhammad Naveed Tabassum, Ibrahim Elshafiey, Mubashir Alam, King Saud University, Saudi Arabia
BISP-P2.8: UNSUPERVISED DETRENDING TECHNIQUE USING SPARSE DICTIONARY LEARNING FOR FMRI PREPROCESSING AND ANALYSIS
Muhammad Usman Khalid, The Australian National University, Australia; Abd-Krim Seghouane, University of Melbourne, Australia
BISP-P2.9: A PARAMETRIC MODELING APPROACH FOR WIRELESS CAPSULE ENDOSCOPY HAZY IMAGE RESTORATION
Yi Wang, Peking University, China; Cheng Cai, Northwest A&F University, China; Ji Liu, Yuexian Zou, Peking University, China
BISP-P3.1: EXPLICIT ORDER MODEL FOR REGION-BASED LEVEL SET SEGMENTATION
Lingfeng Wang, Chunhong Pan, NLPR, Institute of Automation, Chinese Academy of Sciences, China
BISP-P3.2: A MULTIPLE COVARIANCE APPROACH FOR CELL DETECTION OF GRAM-STAINED SMEARS IMAGES
Matthew Crossman, Arnold Wiliem, The University of Queensland, Australia; Paul Finucane, Anthony Jennings, Sullivan Nicolaides Pathology, Australia; Brian C. Lovell, The University of Queensland, Australia
BISP-P3.3: C. ELEGANS CELL MATCHING AND TRACKING IN A 4D IMAGEING SYSTEM
Long Chen, City University of Hong Kong, Hong Kong SAR of China; Zhongying Zhao, Hong Kong Baptist University, Hong Kong SAR of China; Hong Yan, City University of Hong Kong, Hong Kong SAR of China
BISP-P3.4: AUTOMATED TRACKING OF CELLS FROM PHASE CONTRAST IMAGES BY MULTIPLE HYPOTHESIS KALMAN FILTERS
Mengmeng Wang, Nanyang Technological University, Singapore; Lee-Ling Sharon Ong, Singapore-MIT Alliance for Research and Technology, Singapore; Justin Dauwels, Nanyang Technological University, Singapore; H. Harry Asada, Massachusetts Institute of Technology, United States
BISP-P3.5: DEEP CONVOLUTIONAL ACTIVATION FEATURES FOR LARGE SCALE BRAIN TUMOR HISTOPATHOLOGY IMAGE CLASSIFICATION AND SEGMENTATION
Yan Xu, BUAA, China; Zhipeng Jia, Yuqing Ai, Fang Zhang, Tsinghua University, China; Maode Lai, Zhejiang University, China; Eric Chang, Microsoft Corporation, China
BISP-P3.6: COST-SENSITIVE ENSEMBLE CLASSIFIERS FOR MICROWAVE BREAST CANCER DETECTION
Yunpeng Li, Adam Santorelli, Olivier Laforest, Mark Coates, McGill University, Canada
BISP-P3.7: NOVEL IMAGE CLASSIFICATION BASED ON INTEGRATION OF EEG AND VISUAL FEATURES VIA MSLPCCA
Takuya Kawakami, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan
BISP-P3.8: SCALABLE CLUSTERING BASED ON ENHANCED-SMART FOR LARGE-SCALE FMRI DATASETS
Chao Liu, Rui Fa, Basel Abu-Jamous, Brunel University London, United Kingdom; Elvira Brattico, University of Helsinki, Finland; Asoke Nandi, Brunel University London, United Kingdom
BISP-P4.1: NOISE CLEANING AND GAUSSIAN MODELING OF SMART PHONE PHOTOPLETHYSMOGRAM TO IMPROVE BLOOD PRESSURE ESTIMATION
Rohan Banerjee, Avik Ghose, Anirban Dutta Choudhury, Aniruddha Sinha, Arpan Pal, Tata Consultancy Services Limited, India
BISP-P4.2: A NOVEL QRS COMPLEX DETECTION ON ECG WITH MOTION ARTIFACT DURING EXERCISE
Youngchun Kim, Ahmed H. Tewfik, The University of Texas at Austin, United States
BISP-P4.3: ADAPTIVE NEURAL MATCHING ONLINE SPIKE SORTING VLSI CHIP DESIGN FOR WIRELESS BCI IMPLANTS
Zaghloul Saad Zaghloul, Magdy Bayoumi, University of Louisiana at Lafayette, United States
BISP-P4.4: VITAL SIGNS FROM INSIDE A HELMET: A MULTICHANNEL FACE-LEAD STUDY
Wilhelm von Rosenberg, Theerasak Chanwimalueang, David Looney, Danilo P. Mandic, Imperial College London, United Kingdom
BISP-P4.5: DETECTION OF DEPRESSION IN ADOLESCENTS BASED ON STATISTICAL MODELING OF EMOTIONAL INFLUENCES IN PARENT-ADOLESCENT CONVERSATIONS
Melissa Stolar, Margaret Lech, RMIT University, Australia; Nicholas Allen, University of Oregon, United States
BISP-P4.6: CLASSIFYING PHONOLOGICAL CATEGORIES IN IMAGINED AND ARTICULATED SPEECH
Shunan Zhao, University of Toronto, Canada; Frank Rudzicz, Toronto Rehabilitation Institute, Canada
BISP-P4.7: ROBUST ELECTROENCEPHALOGRAM CHANNEL SET FOR PERSON AUTHENTICATION
Salahiddin Altahat, Michael Wagner, Elisa Martinez Marroquin, University Of Canberra, Australia
BISP-P4.8: FAST CONVEX OPTIMIZATION FOR CONNECTIVITY ENFORCEMENT IN GENE REGULATORY NETWORK INFERENCE
Aurélie Pirayre, Camille Couprie, Laurent Duval, IFP Energies nouvelles, France; Jean-Christophe Pesquet, Université Paris-Est, France
BISP-P4.9: SPECTRAL PROPERTIES OF NEURONAL PULSE INTERVAL MODULATION
John Varghese, Kristian Weegink, Paul Bellette, Andrew Bradley, University of Queensland, Australia
BISP-P4.10: GENERAL LINEAR MODELS UNDER RICIAN NOISE FOR FMRI DATA
Lieve Lauwers, Kurt Barbé, Vrije Universiteit Brussel, Belgium
BISP-P4.11: BINOMIAL CLASSIFICATION BASED ON DLENE FEATURES IN SPARSE REPRESENTATION: APPLICATION IN KIDNEY DETECTION IN 3D ULTRASOUND
Mahdi Marsousi, Konstantinos N. Plataniotis, University of Toronto, Canada
DISPS-L1.1: <30 MW RECTANGULAR-TO-POLAR CONVERSION PROCESSOR IN 802.11AD POLAR TRANSMITTER
Chunshu Li, Andre Bourdoux, IMEC, Belgium, Belgium; Marian Verhelst, ESAT, K.U.Leuven, Belgium; Yanxiang Huang, IMEC, Belgium, Belgium; Min Li, NXP, Belgium, Belgium; Liesbet Van Der Perre, Sofie Pollin, IMEC, Belgium, Belgium
DISPS-L1.2: LATTICE FIR DIGITAL FILTER ARCHITECTURES USING STOCHASTIC COMPUTING
Yin Liu, Keshab Parhi, University of Minnesota Twin Cities, United States
DISPS-L1.3: REDUCING QUANTIZATION ERROR IN LOW-ENERGY FIR FILTER ACCELERATORS
Zhuo Wang, Jintao Zhang, Naveen Verma, Princeton University, United States
DISPS-L1.4: AN ENERGY-EFFICIENT MEMORY-BASED HIGH-THROUGHPUT VLSI ARCHITECTURE FOR CONVOLUTIONAL NETWORKS
Mingu Kang, Sujan Gonugondla, Min-Sun Keel, Naresh Shanbhag, University of Illinois at Urbana-Champaign, United States
DISPS-L1.5: LOW-LATENCY LIST DECODING OF POLAR CODES WITH DOUBLE THRESHOLDING
Youzhe Fan, Ji Chen, Chenyang Xia, Chi-ying Tsui, The Hong Kong University of Science and Technology, Hong Kong SAR of China; Jie Jin, Hui Shen, Bin Li, Huawei Technologies Co. Ltd., China
DISPS-L1.6: SINGLE STREAM PARALLELIZATION OF GENERALIZED LSTM-LIKE RNNS ON A GPU
Kyuyeon Hwang, Wonyong Sung, Seoul National University, Republic of Korea
DISPS-P1.1: AN ADAPTIVE ECC SCHEME FOR DYNAMIC PROTECTION OF NAND FLASH MEMORIES
Liu Yuan, Huaida Liu, Pingui Jia, Yiping Yang, Institute of Automation, Chinese Academy of Sciences, China
DISPS-P1.2: AN OBFUSCATED RADIX-2 REAL FFT ARCHITECTURE
Goutham N. C. Shanmugam, Yingjie Lao, Keshab Parhi, University of Minnesota, United States
DISPS-P1.3: FACTORIZATION FOR ANALOG-TO-DIGITAL MATRIX MULTIPLICATION
Edward Lee, Madeleine Udell, S. Simon Wong, Stanford University, United States
DISPS-P1.4: SERIAL AND INTERLEAVED ARCHITECTURES FOR COMPUTING REAL FFT
Aravinth Chinnapalanichamy, Keshab Parhi, University of Minneosta, United States
DISPS-P1.5: MULTIPLE CONSTANT MULTIPLICATION IMPLEMENTATIONS IN NEAR-THRESHOLD COMPUTING SYSTEMS
James Bradley Wendt, Nathaniel Conos, Miodrag Potkonjak, University of California, Los Angeles, United States
DISPS-P1.6: A HYBRID PARTIAL SUM COMPUTATION UNIT ARCHITECTURE FOR LIST DECODERS OF POLAR CODES
Jun Lin, Zhiyuan Yan, Lehigh University, United States
DISPS-P2.1: IMPLEMENTATION OF THE SVD-BASED PRECODING SUB-SYSTEM FOR THE COMPRESSED BEAMFORMING WEIGHTS FEEDBACK IN IEEE 802.11N/AC WLAN
Yang-Cheng Lin, Tsung-Hsien Liu, Chia-Peng Chou, Yuan-Sun Chu, National Chung Cheng University, Taiwan
DISPS-P2.2: PARALLEL SOFTWARE IMPLEMENTATION OF RECURSIVE MULTIDIMENSIONAL DIGITAL FILTERS FOR POINT-TARGET DETECTION IN CLUTTERED INFRARED SCENES
Hugh Kennedy, University of South Australia, Australia
DISPS-P2.3: LOCAL BINARY PATTERN ORIENTATION BASED FACE RECOGNITION
Yi-Kang Shen, Ching-Te Chiu, National Tsing Hua University, Taiwan
DISPS-P2.4: ASIC IMPLEMENTATION OF A COMPUTATIONALLY EFFICIENT COMPRESSIVE SENSING DETECTION METHOD USING LEAST SQUARES OPTIMIZATION IN 45 NM CMOS TECHNOLOGY
Mohamed Shaban, Tarek Idriss, Haytham Idriss, Magdy Bayoumi, University of Louisiana at Lafayette, United States
DISPS-P2.5: IMPLEMENTATION OF INTERCONNECTIVE SYSTEMS
Thomas Baran, Tarek Lahlou, Massachusetts Institute of Technology, United States
DISPS-P2.6: AN EFFICIENT INTERPOLATION FILTER VLSI ARCHITECTURE FOR HEVC
Wei Zhou, Xin Zhou, Xiaocong Lian, Northwestern Polytechnical University, China
DISPS-P2.7: BUFFER MERGING TECHNIQUE FOR MINIMIZING MEMORY FOOTPRINTS OF SYNCHRONOUS DATAFLOW SPECIFICATIONS
Karol Desnos, Maxime Pelcat, Jean-François Nezan, Institute of Electronics and Telecommunications of Rennes, France; Slaheddine Aridhi, Texas Instruments France, France
DISPS-P2.8: PEDESTRIAN LOCALIZATION IN MOVING PLATFORMS USING DEAD RECKONING, PARTICLE FILTERING AND MAP MATCHING
Jayaprasad Bojja, Jussi Collin, Tampere University of Technology, Finland; Simo Särkkä, Aalto University, Finland; Jarmo Takala, Tampere University of Technology, Finland
DISPS-P2.9: DOUBLE-TALK DETECTION IN ACOUSTIC ECHO CANCELLERS USING ZERO-CROSSINGS RATE
Muhammad Ikram, Texas Instruments Incorporated, United States
DISPS-P2.10: DISTRIBUTED DENSE STEREO MATCHING FOR 3D RECONSTRUCTION USING PARALLEL-BASED PROCESSING ADVANTAGES
Ricardo Ralha, Gabriel Falcao, Joao Andrade, University of Coimbra, Instituto de Telecomunicações, Portugal; Michel Antunes, Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg; Joao Barreto, Urbano Nunes, Institute of Systems and Robotics, University of Coimbra, Portugal
DISPS-P2.11: FIXED POINT OPTIMIZATION OF DEEP CONVOLUTIONAL NEURAL NETWORKS FOR OBJECT RECOGNITION
Sajid Anwar, Kyuyeon Hwang, Wonyong Sung, Seoul National University, Republic of Korea
IVMSP-L1.1: TRANSMITTING INFORMATIVE COMPONENTS OF FISHER CODES FOR MOBILE VISUAL SEARCH
Guixuan Zhang, Zhi Zeng, Shuwu Zhang, Qinzhen Guo, Institute of Automation, Chinese Academy of Sciences, China
IVMSP-L1.2: INTERACTIVE ON-DEVICE MOBILE LANDMARK RECOGNITION WITH COMPACT BINARY CODES
Tao Guan, Huazhong University of Science and Technology, China; Liujuan Cao, Ling Cai, Rongrong Ji, Xiamen University, China
IVMSP-L1.3: HORIZONTAL FLIP-INVARIANT SKETCH RECOGNITION VIA LOCAL PATCH HASHING
Konstantinos Bozas, Ebroul Izquierdo, Queen Mary University of London, United Kingdom
IVMSP-L1.4: MULTI-VIEW IMPLICIT TRANSFER FOR PERSON RE-IDENTIFICATION
Wei Xu, Yijun Li, Chen Gong, Jie Yang, Shanghai Jiao Tong University, China
IVMSP-L1.5: SEMI SUPERVISED DEEP KERNEL DESIGN FOR IMAGE ANNOTATION
Mingyuan Jiu, Hichem Sahbi, CNRS LTCI lab, Telecom ParisTech, France
IVMSP-L1.6: WEIGHT ESTIMATION IN HYPERGRAPH LEARNING
Konstantinos Pliakos, Constantine Kotropoulos, Aristotle University of Thessaloniki, Greece
IVMSP-L2.1: CODED APERTURE COMPRESSIVE 3-D LIDAR
Achuta Kadambi, Massachusetts Institute of Technology, United States; Petros Boufounos, Mitsubishi Electric Research Laboratories (MERL), United States
IVMSP-L2.2: JOINT DIRECTIONAL-POSITIONAL MULTIPLEXING FOR LIGHT FIELD ACQUISITION BY KRONECKER COMPRESSED SENSING
Qiang Yao, Keita Takahashi, Mehrdad Panahpour Tehrani, Toshiaki Fujii, Nagoya University, Japan
IVMSP-L2.3: FAST REALISTIC REFOCUSING FOR SPARSE LIGHT FIELDS
Chao-Tsung Huang, National Tsing Hua University, Taiwan; Jui Chin, Hong-Hui Chen, National Taiwan University, Taiwan; Yu-Wen Wang, National Tsing Hua University, Taiwan; Liang-Gee Chen, National Taiwan University, Taiwan
IVMSP-L2.4: DENSE AND CONTINUOUS DEPTH ESTIMATION USING A SLIDING CAMERA
Kailin Ge, Jianjiang Feng, Jie Zhou, Tsinghua University, China
IVMSP-L2.5: SELECTIVE HOLE-FILLING FOR DEPTH-IMAGE BASED RENDERING
Adriano Oliveira, Guilherme Fickel, Marcelo Walter, Cláudio Jung, Federal University of Rio Grande do Sul, Brazil
IVMSP-L2.6: IMPROVED VIEW SYNTHESIS BY MOTION WARPING AND TEMPORAL HOLE FILLING
Andrei Purica, Elie-Gabriel Mora, Beatrice Pesquet-Popescu, Marco Cagnazzo, Institut Mines-Telecom; Telecom ParisTech; CNRS LTCI, France; Bogdan Ionescu, University Politehnica of Bucharest, Romania
IVMSP-L3.1: COUPLED FISHER DISCRIMINATION DICTIONARY LEARNING FOR SINGLE IMAGE SUPER-RESOLUTION
Songhang Ye, Cheng Deng, Jie Xu, Xinbo Gao, Xidian University, China
IVMSP-L3.2: NEIGHBORHOOD REGRESSION FOR EDGE-PRESERVING IMAGE SUPER-RESOLUTION
Yanghao Li, Jiaying Liu, Wenhan Yang, Zongming Guo, Peking University, China
IVMSP-L3.3: DEPTH IMAGE SUPER-RESOLUTION USING INTERNAL AND EXTERNAL INFORMATION
Haoheng Zheng, Abdesselam Bouzerdoum, Son Lam Phung, University of Wollongong, Australia
IVMSP-L3.4: NOVEL AUTOREGRESSIVE MODEL BASED ON ADAPTIVE WINDOW-EXTENSION AND PATCH-GEODESIC DISTANCE FOR IMAGE INTERPOLATION
Wenhan Yang, Jiaying Liu, Shuai Yang, Zongming Guo, Peking University, China
IVMSP-L3.5: FACE HALLUCINATION VIA CAUCHY REGULARIZED SPARSE REPRESENTATION
Shenming Qu, Ruimin Hu, Shihong Chen, Zhongyuan Wang, Junjun Jiang, Cheng Yang, Wuhan University, China
IVMSP-L3.6: FAST IMAGE INTERPOLATION WITH DECISION TREE
Jun-Jie Huang, Wan-Chi Siu, Hong Kong Polytechnic University, Hong Kong SAR of China
IVMSP-L4.1: AN ENCRYPTION-THEN-COMPRESSION SYSTEM FOR JPEG 2000 STANDARD
Osamu Watanabe, Takushoku Univeristy, Japan; Akira Uchida, Tokyo Metropolitan Univeristy, Japan; Takahiro Fukuhara, Sony Corporation, Japan; Hitoshi Kiya, Tokyo Metropolitan Univeristy, Japan
IVMSP-L4.2: LOSSLESS PLENOPTIC IMAGE COMPRESSION USING ADAPTIVE BLOCK DIFFERENTIAL PREDICTION
Cristian Perra, University of Cagliari, Italy
IVMSP-L4.3: REGION-BASED DEPTH MAP CODING USING A 3D SCENE REPRESENTATION
Marc Maceira, Ramon Morros, Javier Ruiz Hidalgo, Universitat Politècnica de Catalunya, Spain
IVMSP-L4.4: DENSE CORRESPONDENCE BASED PREDICTION FOR IMAGE SET COMPRESSION
Yabin Zhang, Weisi Lin, Jianfei Cai, Nanyang Technological University, Singapore
IVMSP-L4.5: IMAGE COMPRESSION VIA DENSE DESCRIPTORS ASSISTED SYNTHESIS
Yuan Yuan, Amin Zheng, The Hong Kong University of Science and Technology, Hong Kong SAR of China; Haitao Yang, Huawei Technologies Co. Ltd., China; Oscar Au, The Hong Kong University of Science and Technology, Hong Kong SAR of China
IVMSP-L4.6: RATE CONTROL FOR LOSSLESS REGION OF INTEREST CODING IN HEVC INTRA-CODING WITH APPLICATIONS TO DIGITAL PATHOLOGY IMAGES
Victor Sanchez, University of Warwick, United Kingdom; Francesc Aulí-Llinàs, Universitat Autònoma de Barcelona, Spain; Rahul Vanam, University of Washington, United States; Joan Bartrina-Rapesta, Universitat Autònoma de Barcelona, Spain
IVMSP-L5.1: NOISE REDUCED HIGH DYNAMIC RANGE TONE MAPPING USING INFORMATION CONTENT WEIGHTS
Zijian Zhu, Zhengguo Li, Shiqian Wu, Institute for Infocomm Research, Singapore; Pasi Franti, University of Eastern Finland, Finland
IVMSP-L5.2: HYPER-SPECTRAL IMPULSE DENOISING: A ROW-SPARSE BLIND COMPRESSED SENSING FORMULATION
Angshul Majumdar, Naushad Ansari, Hemant Aggarwal, IIITD, India
IVMSP-L5.3: NONLOCAL MEANS IMAGE DENOISING BASED ON BIDIRECTIONAL PRINCIPAL COMPONENT ANALYSIS
Hsin-Hui Chen, Jian-Jiun Ding, National Taiwan University, Taiwan
IVMSP-L5.4: A HYBRID EDGE-PRESERVING IMAGE SMOOTHING SCHEME FOR NOISE REMOVAL
Jinghong Zheng, Zhengguo Li, Institute for Infocomm Research, Singapore
IVMSP-L5.5: ACTIVE MATCHING FOR PATCH ADAPTIVITY IN NONLOCAL MEANS IMAGE DENOISING
Song Zhang, Huajiong Jing, Yang Zhou, Hangzhou Dianzi University, China
IVMSP-L5.6: PATCH-DISAGREEMENT AS A WAY TO IMPROVE K-SVD DENOISING
Yaniv Romano, Michael Elad, Technion - Israel Institute of Technology, Israel
IVMSP-L6.1: ADVANTAGES OF DYNAMIC ANALYSIS IN HOG-PCA FEATURE SPACE FOR VIDEO MOVING OBJECT CLASSIFICATION
Miriam Lopez, Lucio Marcenaro, Carlo Regazzoni, University of Genoa, Italy
IVMSP-L6.2: LOCATION-AWARE OBJECT DETECTION VIA COHERENT REGION GROUPING
Shen-Chi Chen, National Taiwan University, United States; Kevin Lin, Chu-Song Chen, Academia Sinica, Taiwan; Yi-Ping Hung, National Taiwan University, Taiwan
IVMSP-L6.3: ON THE DETECTION OF ABANDONED OBJECTS WITH A MOVING CAMERA USING ROBUST SUBSPACE RECOVERY AND SPARSE REPRESENTATION
Eric Jardim, Federal University of Rio de Janeiro, Brazil; Xiao Bian, North Carolina State University, United States; Eduardo da Silva, Sergio Netto, Federal University of Rio de Janeiro, Brazil; Hamid Krim, North Carolina State University, United States
IVMSP-L6.4: UNUSUAL EVENT DETECTION IN CROWDED SCENES BY TRAJECTORY ANALYSIS
Shifu Zhou, Wei Shen, Dan Zeng, Zhijiang Zhang, Shanghai University, China
IVMSP-L6.5: DETECTING RARE EVENTS USING KULLBACK-LEIBLER DIVERGENCE
Jingxin Xu, Simon Denman, Clinton Fookes, Sridha Sridharan, Queensland University of Technology, Australia
IVMSP-L6.6: DYNAMIC ROI BASED ON K-MEANS FOR REMOTE PHOTOPLETHYSMOGRAPHY
Litong Feng, Lai-Man Po, Xuyuan Xu, Yuming Li, Chun-Ho Cheung, City University of Hong Kong, Hong Kong SAR of China; Kwok-Wai Cheung, Chu Hai College of Higher Education, Hong Kong SAR of China; Fang Yuan, City University of Hong Kong, Hong Kong SAR of China
IVMSP-L7.1: COUPLED LEARNING BASED ON SINGULAR-VALUES-UINIQUE AND HOG FOR FACE HALLUCINATION
Songze Tang, Liang Xiao, Pengfei Liu, Huicong Wu, Nanjing University of Science and Technology, China
IVMSP-L7.2: LEARNING JOINT FEATURES FOR COLOR AND DEPTH IMAGES WITH CONVOLUTIONAL NEURAL NETWORKS FOR OBJECT CLASSIFICATION
Eder Santana, University of Florida, United States; Karl Dockendorf, Paracosm, United States; Jose C. Principe, University of Florida, United States
IVMSP-L7.3: KERNEL TASK-DRIVEN DICTIONARY LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Soheil Bahrampour, Pennsylvania State University, United States; Nasser M. Nasrabadi, U.S. Army Research Laboratory, United States; Asok Ray, Kenneth W. Jenkins, Pennsylvania State University, United States
IVMSP-L7.4: LEARNING DISCRIMINATIVE VISUAL DICTIONARY FOR NATURAL SCENE CATEGORIZATION
Ying Huang, Wenmin Wang, Ronggang Wang, Shenzhen Graduate School, Peking University, China
IVMSP-L7.5: A DATA-DRIVEN COLOR FEATURE LEARNING SCHEME FOR IMAGE RETRIEVAL
Rahul Rama Varior, Gang Wang, Nanyang Technological University, Singapore
IVMSP-L7.6: MULTI-TASK RANK LEARNING FOR IMAGE QUALITY ASSESSMENT
Long Xu, NAOC, China; Jia Li, Beihang University, China; Weisi Lin, NTU, Singapore; Yongbing Zhang, Tsinghua University, China; Lin Ma, The Chinese University of Hong Kong, China; Yuming Fang, NTU, Singapore; Yun Zhang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China; Yihua Yan, NAOC, China
IVMSP-P1.1: DOMINANT SIFT: A NOVEL COMPACT DESCRIPTOR
Anh T. Tra, Weisi Lin, Alex Kot, Nanyang Technological University, Singapore
IVMSP-P1.2: ORDINAL PYRAMID POOLING FOR ROTATION INVARIANT OBJECT RECOGNITION
Guoli Wang, Bin Fan, Chunhong Pan, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China
IVMSP-P1.3: FAST LINE AND CIRCLE DETECTION USING INVERTED GRADIENT HASH MAPS
Ruben Gonzalez, Griffith University, Australia
IVMSP-P1.4: K-MEDIANS CLUSTERING BASED L_1-PCA MODEL
Shu Yan Lam, Siu Kai Choy, Hang Seng Management College, Hong Kong SAR of China
IVMSP-P1.5: APPROXIMATE INFINITE-DIMENSIONAL REGION COVARIANCE DESCRIPTORS FOR IMAGE CLASSIFICATION
Masoud Faraki, Mehrtash Harandi, Fatih Porikli, The Australian National University / National ICT Australia, Australia
IVMSP-P1.6: IMAGE CLASSIFICATION WITH MAX-SIFT DESCRIPTORS
Lingxi Xie, Tsinghua University, China; Qi Tian, The University of Texas at San Antonio, United States; Jingdong Wang, Microsoft Research, China; Bo Zhang, Tsinghua University, China
IVMSP-P1.7: GENERALIZED REGULAR SPATIAL POOLING FOR IMAGE CLASSIFICATION
Lingxi Xie, Tsinghua University, China; Qi Tian, The University of Texas at San Antonio, China; Bo Zhang, Tsinghua University, China
IVMSP-P1.8: HYBRID MULTI-LAYER DEEP CNN/AGGREGATOR FEATURE FOR IMAGE CLASSIFICATION
Praveen Anil Kulkarni, Joaquin Zepeda, Technicolor Rennes, France; Frederic Jurie, Caen University basse Normandie, France; Patrick Perez, Louis Chevallier, Technicolor Rennes, France
IVMSP-P1.9: A FAST HYPERPLANE-BASED MVES ALGORITHM FOR HYPERSPECTRAL UNMIXING
Chia-Hsiang Lin, Chong-Yung Chi, Yu-Hsiang Wang, National Tsing Hua University, Taiwan; Tsung-Han Chan, Sunplus Technology Co., Ltd., Taiwan
IVMSP-P1.10: BODY-STRUCTURE BASED FEATURE REPRESENTATION FOR PERSON RE-IDENTIFICATION
Hong Liu, Liqian Ma, Can Wang, Peking University, China
IVMSP-P1.11: PEDESTRIAN DETECTION VIA PCA FILTERS BASED CONVOLUTIONAL CHANNEL FEATURES
Wei Ke, Yao Zhang, Pengxu Wei, Qixiang Ye, Jianbin Jiao, University of Chinese Academy of Sciences, China
IVMSP-P1.12: COLOR DESCRIPTION OF LOW RESOLUTION IMAGES USING FAST BITWISE QUANTIZATION AND BORDER-INTERIOR CLASSIFICATION
Moacir Ponti, Camila Picon, Universidade de São Paulo, Brazil
IVMSP-P2.1: NOISE REDUCTION FOR SCREEN CONTENT CODING BASED ON LOCAL HISTOGRAM
Kazuyuki Miyazawa, Akira Minezawa, Shun-ichi Sekiguchi, Mitsubishi Electric Corporation, Japan
IVMSP-P2.2: FAST AND EFFICIENT INTRA CODING TECHNIQUES FOR SMOOTH REGIONS IN SCREEN CONTENT CODING BASED ON BOUNDARY PREDICTION SAMPLES
Sik-Ho Tsang, Yui-Lam Chan, Wan-Chi Siu, The Hong Kong Polytechnic University, Hong Kong SAR of China
IVMSP-P2.3: EFFICIENT CODING STRATEGY FOR HEVC PERFORMANCE IMPROVEMENT BY EXPLOITING MOTION FEATURES
Pallab Podder, Manoranjan Paul, Charles Sturt University, Australia; Manzur Murshed, Federation University Australia, Australia
IVMSP-P2.4: MULTIPLE EARLY TERMINATION FOR FAST HEVC CODING OF UHD CONTENT
Ivan Zupancic, Saverio G. Blasi, Ebroul Izquierdo, Queen Mary University of London, United Kingdom
IVMSP-P2.5: ERROR DIFFUSED INTRA PREDICTION FOR HEVC
Ying-Hsiu Lai, Yinyi Lin, National Central University, Taiwan
IVMSP-P2.6: REDUCED-RANK CONDENSED FILTER DICTIONARIES FOR INTER-PICTURE PREDICTION
Shunyao Li, University of California, Santa Barbara, United States; Onur Guleryuz, Sehoon Yea, LG Electronics, United States
IVMSP-P2.7: MODE DEPENDENT VECTOR QUANTIZATION WITH A RATE-DISTORTION OPTIMIZED CODEBOOK FOR RESIDUE CODING IN VIDEO COMPRESSION
Bihong Huang, Félix Henry, Orange Labs, France; Christine Guillemot, INRIA, France; Philippe Salembier, Universitat Politècnica de Catalunya, Spain
IVMSP-P2.8: MOTION COMPENSATION WITH HIGHER ORDER MOTION MODELS FOR HEVC
Cordula Heithausen, Jan Hendrik Vorwerk, RWTH Aachen University, Germany
IVMSP-P2.9: VIEW SYNTHESIS OPTIMIZATION BASED ON TEXTURE SMOOTHNESS FOR 3D-HEVC
Huan Dou, Beijing University of Technology, China; Yui-Lam Chan, The Hong Kong Polytechnic University, Hong Kong SAR of China; Ke-Bin Jia, Beijing University of Technology, China; Wan-Chi Siu, The Hong Kong Polytechnic University, Hong Kong SAR of China
IVMSP-P2.10: TRANSMISSION DISTORTION MODELING FOR VIEW SYNTHESIS PREDICTION BASED 3-D VIDEO STREAMING
Pan Gao, Wei Xiang, Lijuan Zhang, University of Southern Queensland, Australia
IVMSP-P2.11: THE EFFICIENCY OF VIEW SYNTHESIS PREDICTION FOR 3D VIDEO CODING: A SPECTRAL DOMAIN ANALYSIS
Yichen Zhang, Zhejiang University, China; Ngai-Man Cheung, Singapore University of Technology and Design, Singapore; Lu Yu, Zhejiang University, China
IVMSP-P2.12: DISPARITY-COMPENSATED TOTAL-VARIATION MINIMIZATION FOR COMPRESSED-SENSED MULTIVIEW IMAGE RECONSTRUCTION
Ying Liu, Chen Zhang, Joohee Kim, Illinois Institute of Technology, United States
IVMSP-P3.1: SALIENT OBJECT DETECTION VIA BACKGROUND CONTRAST
Quan Zhou, Nanjing University of Posts and Telecommunications, China; Nianyi Li, University of Delaware, United States; Jianxin Chen, Shu Cai, Nanjing University of Posts and Telecommunications, China; Longin Jan Latecki, Temple University, United States
IVMSP-P3.2: FACE DETECTION USING LOCAL HYBRID PATTERNS
Chulhee Yun, Donghoon Lee, Chang D. Yoo, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea
IVMSP-P3.3: OCRAPOSE: AN INDOOR POSITIONING SYSTEM USING SMARTPHONE/TABLET CAMERAS AND OCR-AIDED STEREO FEATURE MATCHING
Hamed Sadeghi, Shahrokh Valaee, University of Toronto, Canada; Shahram Shirani, McMaster University, Canada
IVMSP-P3.4: FORWARD STEREO OBSTACLE DETECTION WITH WEIGHTED HOUGH TRANSFORM AND LOCAL TEMPORAL CORRELATION
Feng Guo, Ling Cai, Ying Lin, Rongrong Ji, Xiamen University, China
IVMSP-P3.5: NONCONVEX RELAXATION FOR POISSON INTENSITY RECONSTRUCTION
Lasith Adhikari, Roummel Marcia, University of California, Merced, United States
IVMSP-P3.6: IMAGE MATCHING FOR REPETITIVE PATTERNS
Lu Tian, Xianwei Xu, Jie Zhou, Tsinghua University, China
IVMSP-P3.7: A MODEL OF BOTTOM-UP VISUAL ATTENTION USING CORTICAL MAGNIFICATION
Ala Aboudib, Vincent Gripon, Gilles Coppin, Télécom Bretagne / Lab-STICC, France
IVMSP-P3.8: EFFICIENT IMAGE CATEGORIZATION WITH SPARSE FISHER VECTOR
Xiankai Lu, Department of Automation, Shanghai Jiao Tong University,Shanghai, China, China; Zheng Fang, Tao Xu, School of Aeronautics and Astronautics, Shanghai Jiao Tong University,Shanghai, China, China; Haiting Zhang, School of Control Science and Engineering, Shan Dong University, Jinan, China, China; Hongya Tuo, School of Aeronautics and Astronautics, Shanghai Jiao Tong University,Shanghai, China, China
IVMSP-P3.9: QUANTIZED FUZZY LBP FOR FACE RECOGNITION
Jianfeng Ren, Xudong Jiang, Junsong Yuan, Nanyang Technological University, Singapore
IVMSP-P3.10: SHAPE PEELING FOR IMPROVED IMAGE SKELETON STABILITY
Marcel Spitzner, htw-dresden, Germany; Ruben Gonzalez, Griffith University, Australia
IVMSP-P3.11: CHANGE DETECTION FOR OPTICAL AND RADAR IMAGES USING A BAYESIAN NONPARAMETRIC MODEL COUPLED WITH A MARKOV RANDOM FIELD
Jorge Prendes, TeSA, France; Marie Chabert, INP/ENSEEIHT, France; Frédéric Pascal, SONDRA / SUPELEC, France; Alain Giros, CNES, France; Jean-Yves Tourneret, INP/ENSEEIHT, France
IVMSP-P4.1: EXTRACTING DEEP BOTTLENECK FEATURES FOR VISUAL SPEECH RECOGNITION
Chao Sui, Roberto Togneri, Mohammed Bennamoun, University of Western Australia, Australia
IVMSP-P4.2: SEPARATING BACKGROUND AND FOREGROUND OPTICAL FLOW FIELDS BY LOW-RANK AND SPARSE REGULARIZATION
Tomoya Sakai, Hiroki Kuhara, Nagasaki University, Japan
IVMSP-P4.3: COLOR FACIAL EXPRESSION RECOGNITION BASED ON COLOR LOCAL FEATURES
Wenming Zheng, Southeast University, China; Xiaoyan Zhou, Nanjing University of Information Science & Technology, China; Minghai Xin, Southeast University, China
IVMSP-P4.4: LOCAL ALL-PASS FILTERS FOR OPTICAL FLOW ESTIMATION
Christopher Gilliam, Thierry Blu, The Chinese University of Hong Kong, Hong Kong SAR of China
IVMSP-P4.5: AN IMPROVED CROSS-CORRELATION APPROACH TO PARAMETER ESTIMATION BASED ON FRACTIONAL FOURIER TRANSFORM FOR ISAR MOTION COMPENSATION
Jia-Yin Xue, Lei Huang, Harbin Institute of Technology Shenzhen Graduate School, China
IVMSP-P4.6: EMBEDDED REAL-TIME LOCALIZATION OF UAV BASED ON AN HYBRID DEVICE
Hanen Chenini, Lab-STICC, Université de Bretagne Occidentale, France; Dominique Heller, Lab-STICC, Université de Bretagne Sud, France; Catherine Dezan, Lab-STICC, Université de Bretagne Occidentale, France; Jean-Philippe Diguet, Lab-STICC, Université de Bretagne Sud, France; Duncan Campbell, ARCAA, Queensland University of Technology, Brisbane, Australia, Australia
IVMSP-P4.7: FACE RECOGNITION FOR GREAT APES: IDENTIFICATION OF PRIMATES IN VIDEOS
Alexander Loos, Talat Anand Mohan Kalyanasundaram, Fraunhofer Institute for Digital Media Technology, Germany
IVMSP-P4.8: DUAL-EXPOSURE IMAGE REGISTRATION FOR HDR PROCESSING
Fahd Bouzaraa, Technische Universität München, Germany; Onay Urfalioglu, Giovanni Cordara, Huawei European Research Center Germany, Germany
IVMSP-P4.9: A WORKLOAD BALANCED PARALLEL VIEW SYNTHESIS FOR FTV
Zhanqi Liu, Xin Jin, Chenyang Li, Qionghai Dai, Tsinghua University, China
IVMSP-P4.10: A ROBUST MOTION DETECTION ALGORITHM ON NOISY VIDEOS
Yu Liu, Huaxin Xiao, Wei Wang, Maojun Zhang, National University of Defense Technology, China
IVMSP-P4.11: SEARCHING FOR SEMANTIC PERSON QUERIES USING CHANNEL REPRESENTATIONS
Simon Denman, Michael Halstead, Clinton Fookes, Sridha Sridharan, Queensland University of Technology, Australia
IVMSP-P5.1: COLLABORATIVE FILTERING BASED ON GROUP COORDINATES FOR SMOOTHING AND DIRECTIONAL SHARPENING
Lucio Azzari, Alessandro Foi, Tampere University of Technology, Finland
IVMSP-P5.2: DIRECTIONAL BILATERAL FILTERS
Manasij Venkatesh, Chandra Sekhar Seelamantula, Indian Institute of Science, India
IVMSP-P5.3: SMALL TARGET DETECTION USING AN OPTIMIZATION-BASED FILTER
Kai Xie, Keren Fu, Tao Zhou, Jie Yang, Shanghai Jiao Tong University, China; Qiang Wu, Xiangjian He, University of Technology, Sydney, Australia
IVMSP-P5.4: SWITCHING DUAL KERNELS FOR SEPARABLE EDGE-PRESERVING FILTERING
Norishige Fukushima, Shu Fujita, Yutaka Ishibashi, Nagoya Institute of Technology, Japan
IVMSP-P5.5: IMAGE COLORIZATION USING HYBRID DOMAIN TRANSFORM
Hongbo Ao, Yongbing Zhang, Qionghai Dai, Tsinghua University, China
IVMSP-P5.6: QUANTILE ANALYSIS OF IMAGE SENSOR NOISE DISTRIBUTION
Jiachao Zhang, Keigo Hirakawa, University of Dayton, United States; Xiaodan Jin, BOE Technology Group Company, China
IVMSP-P5.7: A NEW ADMM ALGORITHM FOR THE EUCLIDEAN MEDIAN AND ITS APPLICATION TO ROBUST PATCH REGRESSION
Kunal N. Chaudhury, Indian Institute of Science, India; K. R. Ramakrishnan, IISc, India
IVMSP-P5.8: SINGLE IMAGE HAZE REMOVAL VIA A SIMPLIFIED DARK CHANNEL
Zhengguo Li, Jinghong Zheng, Wei Yao, Zijian Zhu, Institute for Infocomm Research, Singapore
IVMSP-P5.9: IMAGE INTERPOLATION USING GAUSSIAN MIXTURE MODELS WITH SPATIALLY CONSTRAINED PATCH CLUSTERING
Milad Niknejad, Islamic Azad University, Majlesi Branch, Iran, Iran; Hossein Rabbani, Department of Biomedical Engineering, Isfahan University of Medical Sciences, Iran, Iran; Massoud Babaie-Zadeh, Sharif University of Technology, Department of Electrical Engineering, Iran; Christian Jutten, GIPSA-Lab, Grenoble, and Institut Universitaire de France, France, France
IVMSP-P5.10: MULTI-SCALE BAYESIAN RECONSTRUCTION OF COMPRESSIVE X-RAY IMAGE
Jiaji Huang, Xin Yuan, Robert Calderbank, Duke University, United States
IVMSP-P5.11: SINGLE UNDERWATER IMAGE DESCATTERING AND COLOR CORRECTION
Huimin Lu, Kyushu Institute of Technology/Shanghai Jiaotong University, Japan; Yujie Li, Seiichi Serikawa, Kyushu Institute of Technology, Japan
IVMSP-P5.12: MISSING INTENSITY RESTORATION VIA ADAPTIVE SELECTION OF PERCEPTUALLY OPTIMIZED SUBSPACES
Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan
IVMSP-P6.1: ACCURATE ANALYSIS METHOD OF BACKGROUND IONOSPHERE EFFECTS ON GEOSYNCHRONOUS SAR FOCUSING
Ye Tian, Cheng Hu, Kai Zhang, Teng Long, Tao Zeng, Beijing Institute of Technology, China
IVMSP-P6.2: A GRAPH LAPLACIAN REGULARIZATION FOR HYPERSPECTRAL DATA UNMIXING
Rita Ammanouil, André Ferrari, Cédric Richard, Université de Nice Sophia-Antipolis, France
IVMSP-P6.3: HIGH-RESOLUTION THROUGH-WALL GHOST IMAGING ALGORITHM USING CHAOTIC MODULATED SIGNAL
Xiaopeng Wang, Zihuai Lin, University of Sydney, Australia
IVMSP-P6.4: SEISMIC FEATURE EXTRACTION USING STEINER TREE METHODS
Ludwig Schmidt, Chinmay Hegde, Piotr Indyk, Massachusetts Institute of Technology, United States; Ligang Lu, Xingang Chi, Detlef Hohl, Shell International E&P, United States
IVMSP-P6.5: BLIND BLEED-THROUGH REMOVAL FOR SCANNED HISTORICAL DOCUMENT IMAGES WITH CONDITIONAL RANDOM FIELDS
Bin Sun, Shutao Li, Hunan University, China; Jun Sun, Fujitsu Research and Develop Center, China
IVMSP-P6.6: COMBINING INFORMATION DISPLAY AND VISIBLE LIGHT WIRELESS COMMUNICATION
Xiaolin Wu, Xiao Shu, McMaster University, Canada
IVMSP-P6.7: IMAGE QUALITY ASSESSMENT BASED ON STRUCTURE VARIANCE CLASSIFICATION
Yibing Zhan, Rong Zhang, Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, Hefei, China, China
IVMSP-P6.8: A MULTI-SLICE MODEL OBSERVER FOR MEDICAL IMAGE QUALITY ASSESSMENT
Lu Zhang, IETR, INSA de Rennes, France; Christine Cavaro-Ménard, University of Angers, France; Patrick Le Callet, University of Nantes, France; Di Ge, University of Rennes 1, France
IVMSP-P6.9: A NOVEL POOLING STRATEGY FOR FULL REFERENCE IMAGE QUALITY ASSESSMENT BASED ON HARMONIC MEANS
Xinghao Ding, Zheng Zhang, Xin Chen, Yue Huang, Xiamen University, China
IVMSP-P7.2: LABEL FIELD INITIALIZATION FOR MRF-BASED SONAR IMAGE SEGMENTATION BY SELECTIVE AUTOENCODING
Sanming Song, Bailu Si, Xisheng Feng, Shenyang Institute of Automation, Chinese Academy of Sciences, China
IVMSP-P7.3: OBJECTS CO-SEGMENTATION: PROPAGATED FROM SIMPLER IMAGES
Marcus Chen, Nanyang Technological University, Singapore; Santiago Velasco-Forero, Ecole Nationale Superieure des Mines de Paris, France; Ivor Tsang, University of Technology, Sydney, Australia; Tat-Jen Cham, Nanyang Technological University, Singapore
IFS-L1.1: FACE-BASED ACTIVE AUTHENTICATION ON MOBILE DEVICES
Mohammed E. Fathy, Vishal M. Patel, Rama Chellappa, University of Maryland, College Park, United States
IFS-L1.2: SNR MAXIMIZATION HASHING FOR LEARNING COMPACT BINARY CODES
Honghai Yu, Pierre Moulin, University of Illinois at Urbana–Champaign, United States
IFS-L1.3: SCALE-ROBUST COMPRESSIVE CAMERA FINGERPRINT MATCHING WITH RANDOM PROJECTIONS
Diego Valsesia, Giulio Coluccia, Tiziano Bianchi, Enrico Magli, Politecnico di Torino, Italy
IFS-L1.4: ANTI-CROPPING BLIND RESYNCHRONIZATION FOR 3D WATERMARKING
Xavier Rolland-Nevière, Gwenaël Doërr, Technicolor R&D France, France; Pierre Alliez, INRIA Sophia-Antipolis, France
IFS-L1.5: MULTIVARIATE LATTICES FOR ENCRYPTED IMAGE PROCESSING
Alberto Pedrouzo-Ulloa, Juan Ramón Troncoso-Pastoriza, Fernando Pérez-González, University of Vigo, Spain
IFS-L1.6: NETWORK INFECTION SOURCE IDENTIFICATION UNDER THE SIRI MODEL
Wuhua Hu, Wee Peng Tay, Athul Harilal, Gaoxi Xiao, Nanyang Technological University, Singapore
IFS-P1.1: SPATIO-TEMPORAL RICH MODEL FOR MOTION VECTOR STEGANALYSIS
Kasim Tasdemir, Fatih Kurugollu, Sakir Sezer, Queen's University Belfast, Turkey
IFS-P1.2: A ROI-BASED SELF-EMBEDDING METHOD WITH HIGH RECOVERY CAPABILITY
Hongliang Cai, Huajian Liu, Martin Steinebach, Fraunhofer SIT, Germany; Xiaojing Wang, Chengdu Institute of Computer Applications, Chinese Academy of Sciences, China
IFS-P1.3: AN EFFECTIVE KEY GENERATION SYSTEM USING IMPROVED CHANNEL RECIPROCITY
Junqing Zhang, Roger Woods, Queen's University Belfast, United Kingdom; Alan Marshall, University of Liverpool, United Kingdom; Trung Q. Duong, Queen's University Belfast, United Kingdom
IFS-P1.4: ROBUST JOINT BEAMFORMING AND ARTIFICIAL NOISE DESIGN FOR AMPLIFY-AND-FORWARD MULTI-ANTENNA RELAY SYSTEMS
Lijian Zhang, Liang Jin, Wenyu Luo, Yanqun Tang, Dingjiu Yu, Zhengzhou Information Science and Technology Institute, China
IFS-P1.5: JAMMER FORENSICS: LOCALIZATION IN PEER TO PEER NETWORKS BASED ON Q-LEARNING
Ying Liu, Wade Trappe, WINLAB, United States
IFS-P1.6: SPECTRUM SCANNING WHEN THE INTRUDER MIGHT HAVE KNOWLEDGE ABOUT THE SCANNER'S CAPABILITIES
Andrey Garnaev, Wade Trappe, Dragoslav Stojadinovic, Ivan Seskar, Rutgers University, United States
IFS-P1.7: DETECTION OF PILOT SPOOFING ATTACK IN MULTI-ANTENNA SYSTEMS VIA ENERGY-RATIO COMPARISON
Qi Xiong, Nanyang Technological University, Singapore; Ying-Chang Liang, Institute for Infocomm Research, A*STAR, Singapore, Singapore; Kwok Hung Li, Nanyang Technological University, Singapore; Yi Gong, South University of Science and Technology of China, China
IFS-P1.8: CYBER-PHYSICAL SYSTEMS: DYNAMIC SENSOR ATTACKS AND STRONG OBSERVABILITY
Yuan Chen, Soummya Kar, José M.F. Moura, Carnegie Mellon University, United States
IFS-P1.9: UNSUPERVISED DETECTION OF MALWARE IN PERSISTENT WEB TRAFFIC
Jan Kohout, Cisco Systems, Czech Republic; Tomáš Pevný, Czech Technical University in Prague, Czech Republic
IFS-P2.1: SELECTIVE VIDEO ENCRYPTION USING CHAOTIC SYSTEM IN THE SHVC EXTENSION
Wassim Hamidouche, IETR/INSA de Rennes, France; Farajallah Mousa, IETR Polytech Nantes, France; Mickael Raulet, Olivier Déforges, IETR/INSA de Rennes, France; Safwan El Assad, IETR Polytech Nantes, France
IFS-P2.2: A NOVEL IMAGE SECRET SHARING SCHEME WITH MEANINGFUL SHARES
Hongliang Cai, Huajian Liu, Fraunhofer SIT, Germany; Qizhao Yuan, Chengdu Institute of Computer Applications, Chinese Academy of Sciences, China; Martin Steinebach, Fraunhofer SIT, Germany; Xiaojing Wang, Chengdu Institute of Computer Applications, Chinese Academy of Sciences, China
IFS-P2.3: HOW TO CONSTRUCT PROGRESSIVE VISUAL CRYPTOGRAPHY SCHEMES
Wenjuan Wang, Hachiro Fujita, Tokyo Metropolitan University, Japan
IFS-P2.4: A COMPACT REPRESENTATION OF SENSOR FINGERPRINT FOR CAMERA IDENTIFICATION AND FINGERPRINT MATCHING
Ruizhe Li, Chang-Tsun Li, Yu Guan, University of Warwick, United Kingdom
IFS-P2.5: COPY-MOVE DETECTION OF AUDIO RECORDING WITH PITCH SIMILARITY
Qi Yan, Rui Yang, Sun Yat-Sen University, China; Jiwu Huang, Shenzhen University, China
IFS-P2.6: CELL PHONE VERIFICATION FROM SPEECH RECORDINGS USING SPARSE REPRESENTATION
Ling Zou, Qianhua He, Xiaohui Feng, South China University of Technology, China
IFS-P2.7: EFFICIENT SPECTROGRAM-BASED BINARY IMAGE FEATURE FOR AUDIO COPY DETECTION
Chahid Ouali, Pierre Dumouchel, École de Technologie Supérieure, Canada; Vishwa Gupta, Computer Research Institute of Montreal, Canada
IFS-P2.9: PRIVACY-PRESERVING QUERY-BY-EXAMPLE SPEECH SEARCH
José Portêlo, Alberto Abad, IST / INESC-ID, Portugal; Bhiksha Raj, Carnegie Mellon University - LTI, United States; Isabel Trancoso, IST / INESC-ID, Portugal
IFS-P2.10: CONTENT-BASED RECOMMENDATIONS WITH APPROXIMATE INTEGER DIVISION
Thijs Veugen, TNO, Netherlands; Zekeriya Erkin, Delft University of Technology, Netherlands
IFS-P2.11: ON THE IMPORTANCE OF USING HIGH RESOLUTION IMAGES, THIRD LEVEL FEATURES AND SEQUENCE OF IMAGES FOR FINGERPRINT SPOOF DETECTION
Murilo Varges da Silva, Aparecido Nilceu Marana, Alessandra Aparecida Paulino, Sao Paulo State University, Brazil
IFS-P2.12: POSTURE-INVARIANT ECG RECOGNITION WITH POSTURE DETECTION
Saeid Wahabi, Shahrzad Pouryayevali, Dimitrios Hatzinakos, University of Toronto, Canada
IDSP-P1.1: EFFICIENT FFT METHOD FOR MODELLING PERFORMANCE OF RADARS WITH SCAN-TO-SCAN FEEDBACK INTEGRATION
Josef Zuk, Luke Rosenberg, Defence Science and Technology Organisation, Australia
IDSP-P1.2: COMBINING TWO PHASE CODES TO EXTEND THE RADAR UNAMBIGUOUS RANGE AND GET A TRADE-OFF IN TERMS OF PERFORMANCE FOR ANY CLUTTER
Timothée Rouffet, Thales Systèmes Aéroportés S.A., France; Eric Grivel, Pascal Vallet, Université de Bordeaux, Bordeaux INP, IMS, UMR CNRS 5218, France; Cyrille Enderli, Stéphane Kemkemian, Thales Systèmes Aéroportés S.A., France
IDSP-P1.3: GPU ACCELERATION OF THREAT MAP COMPUTATION AND APPLICATION TO SELECTION OF SONAR FIELD CONTROLS
Sergey Simakov, Fiona K. Fletcher, Defence Science and Technology Organisation, Australia
IDSP-P1.4: FREQUENCY HOPPING WAVEFORMS FOR CONTINUOUS ACTIVE SONAR
Simon Lourey, Defence Science and Technology Organisation, Australia
IDSP-P1.5: A HYBRID SPEAKER ARRAY-HEADPHONE SYSTEM FOR IMMERSIVE 3D AUDIO REPRODUCTION
Rishabh Ranjan, Woon-Seng Gan, Nanyang Technological University, Singapore
IDSP-P1.6: A VIRTUAL BASS SYSTEM WITH IMPROVED OVERFLOW CONTROL
Hao Mu, Woon-Seng Gan, Nanyang Technological University, Singapore
IDSP-P1.7: LARGE-SCALE SPEAKER SEARCH USING PLDA ON MISMATCHED CONDITIONS
Jeff Ma, Jan Silovsky, Man-hung Siu, Owen Kimball, Raytheon BBN Technologies, United States
IDSP-P1.8: A PARAMETRIC BAYESIAN RMC GAMMA-RAY IMAGE RECONSTRUCTION
Branko Ristic, Michael Roberts, Defence Science and Technology Organisation, Australia
IDSP-P1.9: REAL-TIME INDEPENDENT VECTOR ANALYSIS WITH STUDENT'S T SOURCE PRIOR FOR CONVOLUTIVE SPEECH MIXTURES
Jack Harris, Loughborough University, United Kingdom; Bertrand Rivet, Université de Grenoble, France; Syed Mohsen Naqvi, Jonathon A. Chambers, Loughborough University, United Kingdom; Christian Jutten, Université de Grenoble, France
IDSP-P1.10: FROM SIMULINK TO SMARTPHONE: SIGNAL PROCESSING APPLICATION EXAMPLES
Reza Pourreza-Shahri, Shane Parris, Fatemeh Saki, Issa Panahi, Nasser Kehtarnavaz, The University of Texas at Dallas, United States
MLSP-L1.1: MULTICHANNEL TRANSIENT ACOUSTIC SIGNAL CLASSIFICATION USING TASK-DRIVEN DICTIONARY WITH JOINT SPARSITY AND BEAMFORMING
Yang Zhang, University of Illinois at Urbana-Champaign, United States; Nasser M. Nasrabadi, U.S. Army Research Laboratory, United States; Mark Hasegawa-Johnson, University of Illinois at Urbana-Champaign, United States
MLSP-L1.3: SPEECH DEREVERBERATION USING A LEARNED SPEECH MODEL
Dawen Liang, Columbia University, United States; Matthew Hoffman, Gautham Mysore, Adobe Research, United States
MLSP-L1.4: SOURCE SEPARATION WITH SCATTERING NON-NEGATIVE MATRIX FACTORIZATION
Joan Bruna, Pablo Sprechmann, New York University, United States; Yann Lecun, New York University / Facebook Inc., United States
MLSP-L1.5: AN ONLINE EM ALGORITHM IN HIDDEN (SEMI-)MARKOV MODELS FOR AUDIO SEGMENTATION AND CLUSTERING
Alberto Bietti, INRIA, Ircam, France; Francis Bach, INRIA, ENS, France; Arshia Cont, INRIA, Ircam, France
MLSP-L1.6: REDUNDANCY ANALYSIS OF BEHAVIORAL CODING FOR COUPLES THERAPY AND IMPROVED ESTIMATION OF BEHAVIOR FROM NOISY ANNOTATIONS
Md Nasir, University of Southern California, United States; Brian Baucom, University of Utah, United States; Panayiotis Georgiou, Shrikanth S. Narayanan, University of Southern California, United States
MLSP-L2.1: VARIATIONAL BAYES LEARNING OF MULTISCALE GRAPHICAL MODELS
Hang Yu, Justin Dauwels, Nanyang Technological University, Singapore
MLSP-L2.2: DENSITY ESTIMATION BY ENTROPY MAXIMIZATION WITH KERNELS
Geng-Shen Fu, Zois Boukouvalas, Tulay Adali, University of Maryland, Baltimore County, United States
MLSP-L2.3: KERNEL-BASED EMBEDDINGS FOR LARGE GRAPHS WITH CENTRALITY CONSTRAINTS
Brian Baingana, Georgios Giannakis, University of Minnesota, United States
MLSP-L2.5: A MAXIMUM CORRENTROPY CRITERION FOR ROBUST MULTIDIMENSIONAL SCALING
Fotios Mandanas, Constantine Kotropoulos, Aristotle University of Thessaloniki, Greece
MLSP-L2.6: RISK-AVERSE ONLINE LEARNING UNDER MEAN-VARIANCE MEASURES
Sattar Vakili, Qing Zhao, University of California, Davis, United States
MLSP-L3.1: MALWARE CLASSIFICATION WITH RECURRENT NETWORKS
Razvan Pascanu, University of Montreal, Canada; Jack Stokes, Microsoft Research, United States; Hermineh Sanossian, Microsoft RPty Ltd, Australia; Mady Marinescu, Anil Thomas, Microsoft Corporation, United States
MLSP-L3.2: ALIGNMENT WITH INTRA-CLASS STRUCTURE CAN IMPROVE CLASSIFICATION
Jiaji Huang, Qiang Qiu, Robert Calderbank, Duke University, United States; Miguel Rodrigues, University College London, United Kingdom; Guillermo Sapiro, Duke University, United States
MLSP-L3.3: ENHANCING CLASS DISCRIMINATION IN KERNEL DISCRIMINANT ANALYSIS
Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
MLSP-L3.4: A NOVEL RANKING METHOD FOR MULTIPLE CLASSIFIER SYSTEMS
Anurag Kumar, Bhiksha Raj, Carnegie Mellon University, United States
MLSP-L3.5: SEMI-SUPERVISED MULTI-SENSOR CLASSIFICATION VIA CONSENSUS-BASED MULTI-VIEW MAXIMUM ENTROPY DISCRIMINATION
Tianpei Xie, University of Michigan, Ann Arbor, United States; Nasser M. Nasrabadi, U.S. Army Research Laboratory, United States; Alfred O. Hero III, University of Michigan, Ann Arbor, United States
MLSP-L3.6: LINEAR SUPPORT VECTOR MACHINES WITH NORMALIZATIONS
Yiyong Feng, Daniel P. Palomar, Hong Kong University of Science and Technology, Hong Kong SAR of China
MLSP-P1.1: A UNIFIED PROBABILISTIC FRAMEWORK FOR ROBUST DECODING OF LINEAR BARCODES
Umut Simsekli, Bogazici University, Turkey; Tolga Birdal, Technische Universität München, Turkey
MLSP-P1.2: LOGISTIC SIMILARITY METRIC LEARNING FOR FACE VERIFICATION
Lilei Zheng, Khalid Idrissi, Christophe Garcia, Stefan Duffner, Atilla Baskurt, Université de Lyon, France
MLSP-P1.3: ROBUST AUDIO SURVEILLANCE USING SPECTROGRAM IMAGE TEXTURE FEATURE
Roneel Sharan, Tom Moir, Auckland University of Technology, New Zealand
MLSP-P1.4: DETECTING KANGAROOS IN THE WILD: THE FIRST STEP TOWARDS AUTOMATED ANIMAL SURVEILLANCE
Teng Zhang, Arnold Wiliem, The University of Queensland, Australia; Graham Hemson, Queensland Parks and Wildlife Service, Australia; Brian C. Lovell, The University of Queensland, Australia
MLSP-P1.5: DISCRIMINATIVE SPECTRAL LEARNING OF HIDDEN MARKOV MODELS FOR HUMAN ACTIVITY RECOGNITION
Alfredo Nazábal, Antonio Artés-Rodríguez, Universidad Carlos III de Madrid, Spain
MLSP-P1.6: TENSOR OBJECT CLASSIFICATION VIA MULTILINEAR DISCRIMINANT ANALYSIS NETWORK
Rui Zeng, Jiasong Wu, LIST, Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, China; Lotfi Senhadji, Laboratoire Traitement du Signal et de l’Image, Université de Rennes 1, France; Huazhong Shu, LIST, Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, China
MLSP-P1.7: VISUAL TRACKING USING LEARNED COLOR FEATURES
Ting Liu, Rahul Rama Varior, Gang Wang, Nanyang Technological University, Singapore
MLSP-P1.8: ALIGNING TRAINING MODELS WITH SMARTPHONE PROPERTIES IN WIFI FINGERPRINTING BASED INDOOR LOCALIZATION
Manh Kha Hoang, Joerg Schmalenstroeer, Reinhold Haeb-Umbach, University of Paderborn, Germany
MLSP-P1.9: A MIXTURE OF EXPERTS APPROACH TOWARDS INTELLIGIBILITY CLASSIFICATION OF PATHOLOGICAL SPEECH
Rahul Gupta, University of Southern California, United States; Kartik Audhkhasi, IBM, United States; Shrikanth S. Narayanan, University of Southern California, United States
MLSP-P1.10: ONLINE COMPUTATION OF SPARSE REPRESENTATIONS OF TIME VARYING STIMULI USING A BIOLOGICALLY MOTIVATED NEURAL NETWORK
Tao Hu, Texas A&M University, United States; Dmitri Chklovskii, Simons Foundation, United States
MLSP-P1.11: A NOVEL APPROACH FOR AUTOMATIC ACOUSTIC NOVELTY DETECTION USING A DENOISING AUTOENCODER WITH BIDIRECTIONAL LSTM NEURAL NETWORKS
Erik Marchi, Technische Universität München, Germany; Fabio Vesperini, Universita Politecnica delle Marche, Italy; Florian Eyben, Technische Universität München, Germany; Stefano Squartini, Universita Politecnica delle Marche, Italy; Bjoern Schuller, Technische Universität München, Germany
MLSP-P1.12: A STOCHASTIC BEHAVIOR ANALYSIS OF STOCHASTIC RESTRICTED-GRADIENT DESCENT ALGORITHM IN REPRODUCING KERNEL HILBERT SPACES
Masa-aki Takizawa, Masahiro Yukawa, Keio University, Japan; Cédric Richard, Université de Nice Sophia-Antipolis, France
MLSP-P2.1: CONVERGENCE ANALYSIS OF THE AUGMENTED COMPLEX KLMS ALGORITHM WITH PRE-TUNED DICTIONARY
Wei Gao, Université de Nice Sophia-Antipolis, France; Jie Chen, University of Michigan, Ann Arbor, United States; Cédric Richard, Université de Nice Sophia-Antipolis, France; Jose-Carlos M. Bermudez, University of Santa Catarina, Florianopolis, Brazil; Jianguo Huang, Northwestern Polytechnical University, China
MLSP-P2.2: COCE-SMART: CONSENSUS CLUSTERING BASED ON ENHANCED SPLITTING-MERGING AWARENESS TACTICS
Rui Fa, Basel Abu-Jamous, David Roberts, Asoke Nandi, Brunel University London, United Kingdom
MLSP-P2.3: TOTAL JENSEN DIVERGENCES: DEFINITION, PROPERTIES AND CLUSTERING
Frank Nielsen, Sony Computer Science Laboratories, Japan; Richard Nock, NICTA, Australia
MLSP-P2.4: ADAPTIVE DAMPING AND MEAN REMOVAL FOR THE GENERALIZED APPROXIMATE MESSAGE PASSING ALGORITHM
Jeremy Vila, Philip Schniter, The Ohio State University, United States; Sundeep Rangan, Polytechnic Institute of New York University, United States; Florent Krzakala, Sorbonne Universites, UPMC Univ Paris 06 and Ecole Normale Superieure, France; Lenka Zdeborova, Institut de Physique Theorique, CEA Saclay, France
MLSP-P2.5: PATTERN CLASSIFICATION FORMULATED AS A MISSING DATA TASK: THE AUDIO GENRE CLASSIFICATION CASE
Aggelos Pikrakis, University of Piraeus, Greece; Yannis Kopsinis, University of Athens, Greece; Symeon Chouvardas, Mathematical and Algorithmic Sciences Lab, France; Sergios Theodoridis, University of Athens, Greece
MLSP-P2.7: SUBSPACE LEARNING USING CONSENSUS ON THE GRASSMANNIAN MANIFOLD
Jayaraman J. Thiagarajan, Lawrence Livermore National Labs, United States; Karthikeyan Natesan Ramamurthy, IBM T.J. Watson Research Center, United States
MLSP-P2.8: ONLINE TIME-DEPENDENT CLUSTERING USING PROBABILISTIC TOPIC MODELS
Benjamin Renard, Milad Kharratzadeh, Mark Coates, McGill University, Canada
MLSP-P2.9: A COMPARATIVE STUDY OF SPECTRAL CLUSTERING FOR I-VECTOR-BASED SPEAKER CLUSTERING UNDER NOISY CONDITIONS
Naohiro Tawara, Tetsuji Ogawa, Tetsunori Kobayashi, Waseda Univertisty, Japan
MLSP-P2.10: ANALYSES ON EMPIRICAL ERROR MINIMIZATION IN MULTIPLE KERNEL REGRESSORS
Akira Tanaka, Hokkaido University, Japan
MLSP-P2.11: TWICE-UNIVERSAL PIECEWISE LINEAR REGRESSION VIA INFINITE DEPTH CONTEXT TREES
Nuri Vanli, Muhammed Sayin, Bilkent University, Turkey; Tolga Goze, Alcatel-Lucent, Turkey; Suleyman Kozat, Bilkent University, Turkey
MLSP-P3.1: DEEP CONVOLUTIONAL NEURAL NETWORKS FOR ACOUSTIC MODELING IN LOW RESOURCE LANGUAGES
William Chan, Ian Lane, Carnegie Mellon University, United States
MLSP-P3.2: A HYBRID RECURRENT NEURAL NETWORK FOR MUSIC TRANSCRIPTION
Siddharth Sigtia, Queen Mary University of London, United Kingdom; Emmanouil Benetos, City University London, United Kingdom; Nicolas Boulanger-Lewandowski, Université de Montréal, United Kingdom; Tillman Weyde, Artur S. D'Avila Garcez, City University London, United Kingdom; Simon Dixon, Queen Mary University of London, United Kingdom
MLSP-P3.3: REMOVING DATA WITH NOISY RESPONSES IN REGRESSION ANALYSIS
Alan Wisler, Visar Berisha, Arizona State University, United States; Karthikeyan Ramamurthy, IBM T.J. Watson Research Center, United States; Andreas Spanias, Julie Liss, Arizona State University, United States
MLSP-P3.4: A NEW FRAMEWORK FOR SOLVING DYNAMIC SCHEDULING GAMES
Santiago Zazo, Sergio Valcarcel Macua, Universidad Politécnica de Madrid, Spain; Matilde Sánchez-Fernández, Universidad Carlos III de Madrid, Spain; Javier Zazo, Universidad Politécnica de Madrid, Spain
MLSP-P3.5: LONG SHORT TERM MEMORY NEURAL NETWORK FOR KEYBOARD GESTURE DECODING
Ouais Alsharif, Tom Ouyang, Françoise Beaufays, Shumin Zhai, Thomas Breuel, Johan Schalkwyk, Google Inc., United States
MLSP-P3.6: THE SHARED DIRICHLET PRIORS FOR BAYESIAN LANGUAGE MODELING
Jen-Tzung Chien, National Chiao Tung University, Taiwan
MLSP-P3.7: OPTIMIZATION OF PLUG-IN ELECTRIC VEHICLE CHARGING WITH FORECASTED PRICE
Adriana Chis, Jarmo Lundén, Visa Koivunen, Aalto University, Finland
MLSP-P3.8: A LANGUAGE-BASED GENERATIVE MODEL FRAMEWORK FOR BEHAVIORAL ANALYSIS OF COUPLES' THERAPY
Sandeep Nallan Chakravarthula, Rahul Gupta, University of Southern California, United States; Brian Baucom, University of Utah, United States; Panayiotis Georgiou, University of Southern California, United States
MLSP-P3.9: THE SEGREGATION OF SPATIALISED SPEECH IN INTERFERENCE BY OPTIMAL MAPPING OF DIVERSE CUES
Jingbo Gao, Anthony I. Tew, University of York, United Kingdom
MLSP-P3.10: SEQUENCE-DISCRIMINATIVE TRAINING OF RECURRENT NEURAL NETWORKS
Paul Voigtlaender, Patrick Doetsch, Simon Wiesler, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany
MLSP-P3.11: A DATA-DRIVEN APPROACH FOR MATCHING CLINICAL EXPERTISE TO INDIVIDUAL CASES
Onur Atan, William Hsu, University of California, Los Angeles, United States; Cem Tekin, Bilkent University, Turkey; Mihaela van der Schaar, University of California, Los Angeles, United States
MLSP-P3.12: A BIO-INSPIRED LOGICAL PROCESS FOR SALIENCY DETECTIONS IN COGNITIVE CROWD MONITORING
Simone Chiappino, Andrea Mazzù, Lucio Marcenaro, Carlo Regazzoni, Unige, Italy
MLSP-P4.1: L_P-NORM NON-NEGATIVE MATRIX FACTORIZATION AND ITS APPLICATION TO SINGING VOICE ENHANCEMENT
Tomohiko Nakamura, The University of Tokyo, Japan; Hirokazu Kameoka, The University of Tokyo / Nippon Telegraph and Telephone Corporation, Japan
MLSP-P4.2: LEARNING MIXED DIVERGENCES IN COUPLED MATRIX AND TENSOR FACTORIZATION MODELS
Umut Simsekli, Ali Taylan Cemgil, Beyza Ermis, Bogazici University, Turkey
MLSP-P4.3: NONNEGATIVE MATRIX FACTORIZATION WITH GRADIENT VERTEX PURSUIT
Dung Tran, Tao Xiong, Johns Hopkins University, United States; Sang Chin, Boston University, United States; Trac Tran, Johns Hopkins University, United States
MLSP-P4.4: DEEP MULTIMODAL LEARNING FOR AUDIO-VISUAL SPEECH RECOGNITION
Youssef Mroueh, Massachusetts Institute of Technology, United States; Etienne Marcheret, Vaibhava Goel, IBM T.J. Watson Research Center, United States
MLSP-P4.5: DEEP NEURAL NETWORK BASED INSTRUMENT EXTRACTION FROM MUSIC
Stefan Uhlich, Franck Giron, Sony Deutschland GmbH, Germany; Yuki Mitsufuji, Sony Corporation, Japan
MLSP-P4.6: EXPLICIT VERSUS IMPLICIT SOURCE ESTIMATION FOR BLIND MULTIPLE INPUT SINGLE OUTPUT SYSTEM IDENTIFICATION
Austin J. Brockmeier, University of Liverpool, United Kingdom; Jose C. Principe, University of Florida, United States
MLSP-P4.7: COMBINING SPARSE NMF WITH DEEP NEURAL NETWORK: A NEW CLASSIFICATION-BASED APPROACH FOR SPEECH ENHANCEMENT
Hung-Wei Tseng, University of Minnesota, United States; Mingyi Hong, Iowa State University, United States; Zhi-Quan Luo, University of Minnesota, United States
MLSP-P4.8: COMMON COMPONENTS ANALYSIS VIA LINKED BLIND SOURCE SEPARATION
Guoxu Zhou, Andrzej Cichocki, RIKEN Brain Science Institute, Japan; Danilo P. Mandic, Imperial College London, United Kingdom
MLSP-P4.9: MULTI-MODULUS ALGORITHMS USING HYPERBOLIC AND GIVENS ROTATIONS FOR BLIND DECONVOLUTION OF MIMO SYSTEMS
Syed Awais W. Shah, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia; Karim Abed-Meraim, Polytech Orleans, France; Tareq Y. Al-Naffouri, King Abdullah University of Science and Technology (KAUST), Saudi Arabia
MLSP-P4.10: FAST DNN TRAINING BASED ON AUXILIARY FUNCTION TECHNIQUE
Dung T. Tran, INRIA, France; Nobutaka Ono, NII, Japan; Emmanuel Vincent, INRIA, France
MLSP-P4.11: A COMPARISON OF EXTREME LEARNING MACHINES AND BACK-PROPAGATION TRAINED FEED-FORWARD NETWORKS PROCESSING THE MNIST DATABASE
Philip de Chazal, University of Sydney, Australia; Jonathan Tapson, Andre van Schaik, University of Western Sydney, Australia
MLSP-P4.12: LOW RANK TENSOR DECONVOLUTION
Anh-Huy Phan, Brain Science Institute, RIKEN, Japan; Petr Tichavský, Institute of Information Theory and Automation, Czech Republic; Andrzej Cichocki, Brain Science Institute, RIKEN, Japan
MLSP-P5.1: AN ITERATIVE BAYESIAN ALGORITHM FOR BLOCK-SPARSE SIGNAL RECONSTRUCTION
Mehdi Korki, Jingxin Zhang, Cishen Zhang, Swinburne University of Technology, Australia; Hadi Zayyani, Qom University of Technology, Iran
MLSP-P5.2: SPARSITY AWARE MINIMUM ERROR ENTROPY ALGORITHMS
Wentao Ma, Hua Qu, Jihong Zhao, Badong Chen, Xi'an Jiaotong University, China; Principe Jose C, University of Florida, United States
MLSP-P5.3: ON THE COMPLEXITY OF INFORMATION PLANNING IN GAUSSIAN MODELS
Georgios Papachristoudis, John Fisher III, Massachusetts Institute of Technology, United States
MLSP-P5.4: ACTIVE LEARNING OF SELF-CONCORDANT LIKE MULTI-INDEX FUNCTIONS
Ilija Bogunovic, Volkan Cevher, École Polytechnique Fédérale de Lausanne, Switzerland; Jarvis Haupt, University of Minnesota, United States; Jonathan Scarlett, École Polytechnique Fédérale de Lausanne, Switzerland
MLSP-P5.5: METRICS OF GRASSMANNIAN REPRESENTATION IN REPRODUCING KERNEL HILBERT SPACE FOR VARIATIONAL PATTERN ANALYSIS
Yoshikazu Washizawa, The University of Electro-Communications, Japan
MLSP-P5.6: A PROBABILISTIC LEAST-MEAN-SQUARES FILTER
Jesus Fernandez-Bes, Víctor Elvira, Universidad Carlos III de Madrid, Spain; Steven Van Vaerenbergh, University of Cantabria, Spain
MLSP-P5.7: SUPERVISED SPARSE CODING WITH LOCAL GEOMETRICAL CONSTRAINTS
Hanchao Zhang, Jinhua Xu, East China Normal University, China
MLSP-P5.8: MODELLING OF COMPLEX SIGNALS USING GAUSSIAN PROCESSES
Felipe Tobar, Richard Turner, University of Cambridge, United Kingdom
MLSP-P5.9: NON-NEGATIVE MATRIX FACTORISATION INCORPORATING GREEDY HELLINGER SPARSE CODING APPLIED TO POLYPHONIC MUSIC TRANSCRIPTION
Ken O'Hanlon, Queen Mary University of London, United Kingdom; Mark D. Plumbley, University of Surrey, United Kingdom; Mark Sandler, Queen Mary University of London, United Kingdom
MLSP-P5.10: REDUCING COMMUNICATION OVERHEAD IN DISTRIBUTED LEARNING BY AN ORDER OF MAGNITUDE (ALMOST)
Anders Oland, Bhiksha Raj, Carnegie Mellon University, United States
MMSP-L1.1: OBJECTIVE QUALITY PREDICTION FOR HAPTIC TEXTURE SIGNAL COMPRESSION
Rahul Chaudhari, Technische Universität München, Germany; Yongjae Yoo, POSTECH, Republic of Korea; Clemens Schuwerk, Technische Universität München, Germany; Seungmoon Choi, POSTECH, Republic of Korea; Eckehard Steinbach, Technische Universität München, Germany
MMSP-L1.2: IDENTIFY VISUAL HUMAN SIGNATURE IN COMMUNITY VIA WEARABLE CAMERA
Chia-Chin Tsao, Yan-Ying Chen, Yu-Lin Hou, Winston H. Hsu, National Taiwan University, Taiwan
MMSP-L1.3: MODELING MUTUAL INFLUENCE OF MULTIMODAL BEHAVIOR IN AFFECTIVE DYADIC INTERACTIONS
Zhaojun Yang, Shrikanth S. Narayanan, University of Southern California, United States
MMSP-L1.4: ACOUSTIC AND PARA-VERBAL INDICATORS OF PERSUASIVENESS IN SOCIAL MULTIMEDIA
Han Suk Shim, Sunghyun Park, Moitreya Chatterjee, Stefan Scherer, Kenji Sagae, Louis-Philippe Morency, University of Southern California - Institute for Creative Technologies, United States
MMSP-L1.5: CONTINUOUS VISUAL SPEECH RECOGNITION FOR AUDIO SPEECH ENHANCEMENT
Eric Benhaim, Hichem Sahbi, Télécom ParisTech, France; Guillaume Vitte, Parrot SA, France
MMSP-L1.6: DEFORMABLE MULTIPLE-KERNEL BASED HUMAN TRACKING USING A MOVING CAMERA
Li Hou, Wanggen Wan, Shanghai University, China; Kuan-Hui Lee, Jenq-Neng Hwang, Greg Okopal, James Pitton, University of Washington, United States
MMSP-P1.1: COMBINED ESTIMATION OF CAMERA LINK MODELS FOR HUMAN TRACKING ACROSS NONOVERLAPPING CAMERAS
Young-Gun Lee, Jenq-Neng Hwang, University of Washington, United States; Zhijun Fang, Jiangxi University of Finance and Economics, China
MMSP-P1.2: EXPLOITING SUBCLASS INFORMATION IN ONE-CLASS SUPPORT VECTOR MACHINE FOR VIDEO SUMMARIZATION
Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
MMSP-P1.3: COMPUTATIONALLY DECONSTRUCTING MOVIE NARRATIVES: AN INFORMATICS APPROACH
Tanaya Guha, Naveen Kumar, Shrikanth S. Narayanan, Stacy Smith, University of Southern California, United States
MMSP-P1.4: FEEDBACK-BASED HANDWRITING RECOGNITION FROM INERTIAL SENSOR DATA FOR WEARABLE DEVICES
Yujia Li, University of Toronto, Canada; Kaisheng Yao, Geoffrey Zweig, Microsoft Corporation, United States
MMSP-P1.5: JOINT DENOISING AND CONTRAST ENHANCEMENT OF IMAGES USING GRAPH LAPLACIAN OPERATOR
Xianming Liu, Harbin Institute of Technology, China; Gene Cheung, National Institute of Informatics, Japan; Xiaolin Wu, McMaster University, Canada
MMSP-P1.6: DETECTING SEMANTIC CONCEPTS IN CONSUMER VIDEOS USING AUDIO
Junwei Liang, Qin Jin, Xixi He, Gang Yang, Jieping Xu, Xirong Li, Renmin University of China, China
MMSP-P1.7: MAX-PRODUCT DYNAMICAL SYSTEMS AND APPLICATIONS TO AUDIO-VISUAL SALIENT EVENT DETECTION IN VIDEOS
Petros Maragos, Petros Koutras, National Technical University of Athens, Greece
MMSP-P1.8: SELF-CALIBRATION IN VISUAL SENSOR NETWORKS EQUIPPED WITH RGB-D CAMERAS
Xiaoqin Wang, Ahmet Sekercioglu, Tom Drummond, Monash University, Australia
MMSP-P1.9: OPTIMAL GRAPH LAPLACIAN REGULARIZATION FOR NATURAL IMAGE DENOISING
Jiahao Pang, The Hong Kong University of Science and Technology, Hong Kong SAR of China; Gene Cheung, National Institute of Informatics, Japan; Antonio Ortega, University of Southern California, United States; Oscar Au, The Hong Kong University of Science and Technology, Hong Kong SAR of China
MMSP-P1.10: LABEL WALKING NONNEGATIVE MATRIX FACTORIZATION
Long Lan, Naiyang Guan, Xiang Zhang, Xuhui Huang, Zhigang Luo, National University of Defense Technology, China
MMSP-P2.1: SYNCHRONIZATION RULES FOR HMM-BASED AUDIO-VISUAL LAUGHTER SYNTHESIS
Hüseyin Cakmak, Jérôme Urbain, Thierry Dutoit, University of Mons, Belgium
MMSP-P2.2: VISUAL AND ACOUSTIC IDENTIFICATION OF BIRD SPECIES
Andreia Marini, Alef Turatti, Alceu Britto, Alessandro Koerich, Pontifical Catholic University of Paraná, Brazil
MMSP-P2.3: MULTIMODAL ADDRESSEE DETECTION IN MULTIPARTY DIALOGUE SYSTEMS
Tj Tsai, University of California, Berkeley, United States; Andreas Stolcke, Malcolm Slaney, Microsoft Research, United States
MMSP-P2.4: PREDICTING NEXT SPEAKER BASED ON HEAD MOVEMENT IN MULTI-PARTY MEETINGS
Ryo Ishii, Shiro Kumano, Kazuhiro Otsuka, NTT Corporation, Japan
MMSP-P2.5: A FAST AUDIO SEARCH METHOD BASED ON SKIPPING IRRELEVANT SIGNALS BY SIMILARITY UPPER-BOUND CALCULATION
Hidehisa Nagano, Ryo Mukai, Takayuki Kurozumi, Kunio Kashino, Nippon Telegraph and Telephone Corporation, Japan
MMSP-P2.6: MOVING SOUND SOURCE PARAMETER ESTIMATION USING A SINGLE MICROPHONE AND SIGNAL EXTREMA SAMPLES
Neeraj Sharma, Sai Gunaranjan Pelluri, Thippur V. Sreenivas, Indian Institute of Science, India
SAM-L1.1: JOINT HOT AND COLD CLUTTER MITIGATION IN THE TRANSMIT BEAMSPACE-BASED MIMO RADAR
Yongzhe Li, Aalto University & University of Electronic Science and Technology of China, Finland; Sergiy Vorobyov, Aalto University, Finland; Zishu He, University of Electronic Science and Technology of China, China
SAM-L1.2: COMPRESSED SENSING JOINT RANGE AND CROSS-RANGE MIMO RADAR IMAGING
Rafael Pinto, Ricardo Merched, Universidade Federal do Rio de Janeiro, Brazil
SAM-L1.3: APERIODIC WAVEFORMS WITH MISMATCHED FILTERING FOR TARGET DETECTION IN HEAVY CLUTTER. PART II - MIMO RADAR ARCHITECTURE
Yuri Abramovich, WR Systems Ltd, United States; Geoff San Antonio, Naval Research Laboratory, United States; Gordon Frazer, Defence Science and Technology Organisation, Australia
SAM-L1.4: SPACE-DELAY ADAPTIVE PROCESSING FOR MIMO RF INDOOR MOTION MAPPING
Chi Xu, Jeffrey Krolik, Duke University, United States
SAM-L1.5: JOINT TIME REVERSAL AND COMPRESSIVE SENSING BASED LOCALIZATION ALGORITHMS FOR MULTIPLE-INPUT MULTIPLE-OUTPUT RADARS
Mohammad Sajjadieh, York University, Canada; Amir Asif, Concordia University, Canada
SAM-L1.6: CLOSED-FORM SOLUTION TO DIRECTLY DESIGN FACE WAVEFORMS FOR BEAMPATTERNS USING PLANAR ARRAY
Taha Bouchoucha, Sajid Ahmed, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini, King Abdullah University of Science and Technology (KAUST), Saudi Arabia
SAM-L2.1: COPRIME ARRAYS AND SAMPLERS FOR SPACE-TIME ADAPTIVE PROCESSING
Chun-Lin Liu, Palghat Vaidyanathan, California Institute of Technology, United States
SAM-L2.2: DOA ESTIMATION BY COVARIANCE MATRIX SPARSE RECONSTRUCTION OF COPRIME ARRAY
Chengwei Zhou, Zhiguo Shi, Zhejiang University, China; Yujie Gu, Nathan Goodman, The University of Oklahoma, United States
SAM-L2.3: MULTIPLE SOURCE LOCALIZATION WITH MOVING CO-PRIME ARRAYS
Juan Ramirez Jr., Jeffrey Krolik, Duke University, United States
SAM-L2.4: GAUSSIAN SIGNAL DETECTION BY COPRIME SENSOR ARRAYS
Kaushallya Adhikari, John Buck, University of Massachusetts Dartmouth, United States
SAM-L2.5: BAYESIAN COMPRESSIVE SENSING FOR DOA ESTIMATION USING THE DIFFERENCE COARRAY
Xiangrong Wang, University of New South Wales, Australia; Moeness G. Amin, Fauzia Ahmad, Villanova University, United States; Elias Aboutanios, University of New South Wales, Australia
SAM-L2.6: CORRELATION-AWARE SPARSITY-ENFORCING SENSOR PLACEMENT FOR SPATIO-TEMPORAL FIELD ESTIMATION
Venkat Roy, Geert Leus, Delft University of Technology, Netherlands
SAM-L3.1: SPARSE SENSING FOR DISTRIBUTED GAUSSIAN DETECTION
Sundeep Prabhakar Chepuri, Geert Leus, Delft University of Technology, Netherlands
SAM-L3.2: DOA ESTIMATION OF NONPARAMETRIC SPREADING SPATIAL SPECTRUM BASED ON BAYESIAN COMPRESSIVE SENSING EXPLOITING INTRA-TASK DEPENDENCY
Si Qin, Qisong Wu, Yimin D. Zhang, Moeness G. Amin, Villanova University, United States
SAM-L3.3: DIRECTION-FINDING BASED ON THE THEORY OF SUPER-RESOLUTION IN SPARSE RECOVERY ALGORITHMS
Cheng-Yu Hung, Mostafa Kaveh, University of Minnesota, United States
SAM-L3.4: MULTI-SENSOR CLASSIFICATION VIA SPARSITY-BASED REPRESENTATION WITH LOW-RANK INTERFERENCE
Minh Dao, Johns Hopkins University, United States; Nasser M. Nasrabadi, U.S. Army Research Laboratory, United States; Trac Tran, Johns Hopkins University, United States
SAM-L3.5: SUPER-RESOLUTION ACOUSTIC IMAGING USING SPARSE RECOVERY WITH SPATIAL PRIMING
Tahereh Noohi, Nicolas Epain, Craig Jin, The University of Sydney, Australia
SAM-L3.6: MULTI-VIEW INDOOR SCENE RECONSTRUCTION FROM COMPRESSED THROUGH-WALL RADAR MEASUREMENTS USING A JOINT BAYESIAN SPARSE REPRESENTATION
Van Ha Tang, Abdesselam Bouzerdoum, Son Lam Phung, Fok Hing Chi Tivive, University of Wollongong, Australia
SAM-L4.1: INDOOR MAPPING BASED ON TIME DELAY ESTIMATION IN WIRELESS NETWORKS
Hassan Naseri, Visa Koivunen, Aalto University, Finland
SAM-L4.2: PRECODER AND EQUALIZER DESIGN FOR MULTI-USER MIMO FBMC/OQAM WITH HIGHLY FREQUENCY SELECTIVE CHANNELS
Yao Cheng, Ilmenau University of Technology, Germany; Leonardo Baltar, Technische Universität München, Germany; Martin Haardt, Ilmenau University of Technology, Germany; Josef A. Nossek, Technische Universität München, Germany
SAM-L4.3: QUASI-RECTILINEAR (MSK, GMSK, OQAM) CO-CHANNEL INTERFERENCE MITIGATION BY THREE INPUTS WIDELY LINEAR FRESH FILTERING
Pascal Chevalier, Rémi Chauvat, CNAM, France; Jean-Pierre Delmas, Telecom SudParis, France
SAM-L4.4: JOINT DESIGN OF MULTI-TAP FILTERS AND POWER CONTROL FOR FBMC/OQAM BASED TWO-WAY DECODE-AND-FORWARD RELAYING SYSTEMS IN HIGHLY FREQUENCY SELECTIVE CHANNELS
Jianshu Zhang, Ahmad Nimr, Martin Haardt, Ilmenau University of Technology, Germany
SAM-L4.5: SPECTRUM SHARING BETWEEN MATRIX COMPLETION BASED MIMO RADARS AND A MIMO COMMUNICATION SYSTEM
Bo Li, Athina Petropulu, Rutgers, The State University of New Jersey, United States
SAM-L5.1: A TENSOR-BASED SUBSPACE WALL CLUTTER MITIGATION METHOD FOR THROUGH-THE-WALL RADAR IMAGING
Fok Hing Chi Tivive, Abdesselam Bouzerdoum, University of Wollongong, Australia
SAM-L5.2: HYBRID VECTORIAL AND TENSORIAL COMPRESSIVE SENSING FOR HYPERSPECTRAL IMAGING
Edgar Bernal, Qun Li, PARC - A Xerox Company, United States
SAM-L5.3: PARALLEL ALGORITHMS FOR LARGE SCALE CONSTRAINED TENSOR DECOMPOSITION
Athanasios Liavas, Technical University of Crete, Greece; Nicholas Sidiropoulos, University of Minnesota, United States
SAM-L5.4: ROBUST LINEAR SPECTRAL UNMIXING USING OUTLIER DETECTION
Yoann Altmann, Stephen McLaughlin, Heriot-Watt University, United Kingdom; Alfred O. Hero III, University of Michigan, United States
SAM-L5.5: A NEW BAYESIAN UNMIXING ALGORITHM FOR HYPERSPECTRAL IMAGES MITIGATING ENDMEMBER VARIABILITY
Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, University of Toulouse, France; Paul Honeine, Université de technologie de Troyes, France
SAM-L5.6: WAVE ATOM BASED COMPRESSIVE SENSING AND ADAPTIVE BEAMFORMING IN ULTRASOUND IMAGING
Foroohar Foroozan, InnoMind Technology, Canada; Parastoo Sadeghi, The Australian National University, Australia
SAM-P1.1: GENERALISED ARRAY RECONFIGURATION FOR ADAPTIVE BEAMFORMING BY ANTENNA SELECTION
Xiangrong Wang, Elias Aboutanios, University of New South Wales, Australia; Moeness G. Amin, Villanova University, United States
SAM-P1.2: UNIT CIRCLE MVDR BEAMFORMER
Saurav Tuladhar, John Buck, University of Massachusetts Dartmouth, United States
SAM-P1.3: MULTICAST BEAMFORMING WITH ANTENNA SELECTION USING EXACT PENALTY APPROACH
Özlem Demir, Engin Tuncer, Middle East Technical University, Turkey
SAM-P1.4: A ROBUST REGION-BASED NEAR-FIELD BEAMFORMER
Jorge Martinez, Nikolay Gaubitch, Delft University of Technology, Netherlands; W. Bastiaan Kleijn, Victoria University of Wellington, New Zealand
SAM-P1.5: SINR LOSS OF THE DOMINANT MODE REJECTION BEAMFORMER
Kathleen Wage, George Mason University, United States; John Buck, University of Massachusetts Dartmouth, United States
SAM-P1.6: ROBUST TRANSMIT BEAMPATTERN DESIGN FOR UNIFORM LINEAR ARRAYS USING CORRELATED LFM WAVEFORMS
Guang Hua, Saman Abeysekera, Nanyang Technological University, Singapore
SAM-P1.7: ROBUST WIDELY LINEAR BEAMFORMER BASED ON A PROJECTION CONSTRAINT
Jing Zhang, Lei Huang, Long Zhang, Bo Zhang, Zhongfu Ye, University of Science and Technology of China, China
SAM-P1.8: ROBUST MINIMUM VARIANCE BEAMFORMING UNDER DISTRIBUTIONAL UNCERTAINTY
Xiao Zhang, Yang Li, Ning Ge, Jianhua Lu, Tsinghua University, China
SAM-P1.9: OPTIMAL BEAMFORMING ON SYNTHETIC INTERFERENCE AND NOISE FOR ACTIVE PROCESSING OF MULTIPLET LINE ARRAYS
Sergey Simakov, Zhi Yong Zhang, Defence Science and Technology Organisation, Australia; Robert P. Goddard, University of Washington, United States
SAM-P1.10: OPTIMUM DISCRETE DISTRIBUTED BEAMFORMING FOR SINGLE GROUP MULTICASTING RELAY NETWORKS WITH RELAY SELECTION
Özlem Demir, Engin Tuncer, Middle East Technical University, Turkey
SAM-P1.11: DECONVOLUTION USING THE ADAPTIVE SELECTIVE SIDELOBE CANCELLER BEAMFORMER
Ronny Levanda, Amir Leshem, Bar-Ilan University, Israel
SAM-P2.1: ADAPTIVE BAYESIAN TRACKING WITH UNKNOWN TIME-VARYING SENSOR NETWORK PERFORMANCE
Giuseppe Papa, Paolo Braca, Steven Horn, Centre for Maritime Research and Experimentation, Italy; Stefano Maranò, Vincenzo Matta, University of Salerno, Italy; Peter Willett, University of Connecticut, United States
SAM-P2.2: MULTIPLE TARGET TRACK-BEFORE-DETECT IN COMPOUND GAUSSIAN CLUTTER
Samuel Ebenezer, Antonia Papandreou-Suppappola, Arizona State University, United States
SAM-P2.3: OPTIMAL SENSOR DEPLOYMENT FOR 3D AOA TARGET LOCALIZATION
Sheng Xu, Kutluyil Dogançay, University of South Australia, Australia
SAM-P2.4: REFERENCE-DISTANCE ESTIMATION APPROACH FOR TDOA-BASED SOURCE AND SENSOR LOCALIZATION
Trung-Kien Le, National Institute of Informatics, Japan; Nobutaka Ono, National Institute of Informatics, The Graduate University for Advanced Studies (SOKENDAI), Japan
SAM-P2.5: ASSESSING RANGE ACCURACY FOR BEARINGS-ONLY GEOLOCATION USING OPTIMAL LOGARITHMIC SPIRAL SENSOR PATH TRAJECTORIES
Neda Adib, Scott C. Douglas, Southern Methodist University, United States
SAM-P2.6: POLYNOMIAL-PHASE SIGNAL DIRECTION-FINDING AND SOURCE-TRACKING WITH A SINGLE ACOUSTIC VECTOR SENSOR
Xin Yuan, Jiaji Huang, Robert Calderbank, Duke University, United States
SAM-P2.7: A STATE-SPACE APPROACH FOR THE ANALYSIS OF WAVE AND DIFFUSION FIELDS
Stefano Maranò, Donat Fäh, Hans-Andrea Loeliger, ETH Zurich, Switzerland
SAM-P2.8: GESTURE RECOGNITION FROM MAGNETIC FIELD MEASUREMENTS USING A BANK OF LINEAR STATE SPACE MODELS AND LOCAL LIKELIHOOD FILTERING
Nour Zalmai, Christian Kaeslin, Lukas Bruderer, Sarah Neff, Hans-Andrea Loeliger, ETH Zurich, Switzerland
SAM-P2.9: DISTRIBUTIONS OF PROJECTIONS OF UNIFORMLY DISTRIBUTED K-FRAMES
Stephen D. Howard, Songsri Sirianunpiboon, Defence Science and Technology Organisation, Australia; Douglas Cochran, Arizona State University, United States
SAM-P2.10: ROBUST MICROPHONE PLACEMENT FOR SOURCE LOCALIZATION FROM NOISY DISTANCE MEASUREMENTS
Mohammad J. Taghizadeh, Huawei European Research Center, Idiap Research Institute, Ecole Polytechnique Federal de Lausanne, Switzerland; Saeid Haghighatshoar, École Polytechnique Fédérale de Lausanne, Switzerland; Afsaneh Asaei, Philip N. Garner, Idiap Research Institute, Switzerland; Hervé Bourlard, Idiap Research Institute, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland
SAM-P2.11: PERIODIC RF TRANSMITTER GEOLOCATION USING A MOBILE RECEIVER
Zahra Madadi, Francois Quitin, Wee Peng Tay, Nanyang Technological University, Singapore
SAM-P2.12: LARGE REGION ACOUSTIC SOURCE MAPPING USING MOVABLE ARRAYS
Shengkui Zhao, Thi Ngoc Tho Nguyen, Advanced Digital Sciences Center, Singapore; Douglas L. Jones, Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, United States
SAM-P3.1: ASYMPTOTIC PROPERTIES OF THE ROBUST ANMF
Frédéric Pascal, SONDRA / SUPELEC, France; Jean-Philippe Ovarlez, ONERA & SONDRA, France
SAM-P3.2: ASYMPTOTIC PERFORMANCE OF THE LOW RANK ADAPTIVE NORMALIZED MATCHED FILTER IN A LARGE DIMENSIONAL REGIME
Alice Combernoux, SONDRA / ONERA, France; Frédéric Pascal, SONDRA / SUPELEC, France; Guillaume Ginolhac, LISTIC / Polytech Annecy-Chambéry, France; Marc Lesturgie, SONDRA / ONERA, France
SAM-P3.3: AUTOMATIC TARGET RECOGNITION USING DISCRIMINATION BASED ON OPTIMAL TRANSPORT
Ali Sadeghian, Deoksu Lim, University of Florida, United States; Johan Karlsson, Royal Institute of Technology KTH, Sweden; Jian Li, University of Florida, United States
SAM-P3.4: NARROW-RANGE FREQUENCY ESTIMATION BASED ON COMPREHENSIVE OPTIMIZATION OF DFT AND INTERPOLATION
Byeong Yong Kong, In-Cheol Park, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea
SAM-P3.5: IMPACT LOCATION ESTIMATION IN ANISOTROPIC MEDIA
Jingru Zhou, V. John Mathews, Daniel O. Adams, University of Utah, United States
SAM-P3.6: LOST-FIND: A SPECTRAL-SPACE-TIME DIRECT BLIND GEOLOCALIZATION ALGORITHM
Cyrile Delestre, Anne Ferréol, Thales - CNRS, France; Pascal Larzabal, CNRS, France
SAM-P3.7: VARIATIONAL INFERENCE COOPERATIVE NETWORK LOCALIZATION WITH NARROWBAND RADIOS
Nikos Fasarakis-Hilliard, Panos Alevizos, Aggelos Bletsas, Technical University of Crete, Greece
SAM-P3.8: ACOUSTIC EVENT SOURCE LOCALIZATION FOR SURVEILLANCE IN REVERBERANT ENVIRONMENTS SUPPORTED BY AN EVENT ONSET DETECTION
Peter Transfeld, Technische Universität Braunschweig, Germany; Uwe Martens, Harald Binder, Thomas Schypior, Artec Technologies AG, Germany; Tim Fingscheidt, Technische Universität Braunschweig, Germany
SAM-P3.9: NONLINEAR REGRESSION USING SMOOTH BAYESIAN ESTIMATION
Abderrahim Halimi, Corinne Mailhes, Jean-Yves Tourneret, University of Toulouse, France
SAM-P3.10: EEG SIGNAL ENHANCEMENT USING MULTI-CHANNEL WIENER FILTER WITH A SPATIAL CORRELATION PRIOR
Hayato Maki, Tomoki Toda, Sakriani Sakti, Graham Neubig, Satoshi Nakamura, Nara Institute of Science and Technology, Japan
SAM-P3.11: JOINT DIRECTION-OF-ARRIVAL AND FREQUENCY ESTIMATION WITHOUT SOURCE ENUMERATION
Cheng Qian, Lei Huang, Yunmei Shi, Harbin Institute of Technology Shenzhen Graduate School, China; Hing Cheung So, City University of Hong Kong, China
SAM-P3.12: WEAK INTERFERENCE DIRECTION OF ARRIVAL ESTIMATION IN THE GPS L1 FREQUENCY BAND
Zili Xu, Matthew Trinkle, Douglas Gray, University of Adelaide, Australia
SAM-P4.1: BINAURAL LOCALIZATION OF SPEECH SOURCES IN 3-D USING A COMPOSITE FEATURE VECTOR OF THE HRTF
Xiang Wu, The Australian National University, Australia; Dumidu Talagala, University of Surrey, United Kingdom; Wen Zhang, Thushara Abhayapala, The Australian National University, Australia
SAM-P4.2: PSEUDO-COHERENCE-BASED MVDR BEAMFORMER FOR SPEECH ENHANCEMENT WITH AD HOC MICROPHONE ARRAYS
Vincent Mohammad Tavakoli, Jesper Rindom Jensen, Mads Græsbøll Christensen, Aalborg University, Denmark; Jacob Benesty, University of Quebec, Canada
SAM-P4.3: PITCH AND TDOA-BASED LOCALIZATION OF ACOUSTIC SOURCES WITH DISTRIBUTED ARRAYS
Martin Weiss Hansen, Jesper Rindom Jensen, Mads Græsbøll Christensen, Aalborg University, Denmark
SAM-P4.4: NOVEL GCC-PHAT MODEL IN DIFFUSE SOUND FIELD FOR MICROPHONE ARRAY PAIRWISE DISTANCE BASED CALIBRATION
Jose Velasco, University of Alcalá, Spain; Mohammad J. Taghizadeh, Afsaneh Asaei, Hervé Bourlard, Idiap Research Institute, Switzerland; Carlos J. Martín-Arguedas, Javier Macias-Guarasa, Daniel Pizarro, University of Alcalá, Spain
SAM-P4.5: DESIGN AND ANALYSIS OF MINIATURE AND THREE TIERED B-FORMAT MICROPHONES MANUFACTURED USING 3D PRINTING
Matthew Dabin, Christian Ritz, Muawiyath Shujau, University of Wollongong, Australia
SAM-P4.6: ROBUST LOCALISATION OF MULTIPLE SPEAKERS EXPLOITING HEAD MOVEMENTS AND MULTI-CONDITIONAL TRAINING OF BINAURAL CUES
Tobias May, Technical University of Denmark, Denmark; Ning Ma, Guy J. Brown, The University of Sheffield, United Kingdom
SAM-P4.7: ON THE DISTRIBUTED ACOUSTIC SENSING BASED ON LOCAL TIME-FREQUENCY COHERENCE ANALYSIS
Teodor Ion Petrut, Ion Candel, Cornel Ioana, GIPSA-Lab / Grenoble INP, France
SAM-P4.8: ADAPTIVE DIFFERENTIAL MICROPHONE ARRAYS USED AS A FRONT-END FOR AN AUTOMATIC SPEECH RECOGNITION SYSTEM
Elmar Messner, Hannes Pessentheiner, Juan Andrés Morales-Cordovilla, Martin Hagmüller, Graz University of Technology, Austria
SAM-P4.9: ON APPLICATION OF NON-NEGATIVE MATRIX FACTORIZATION FOR AD HOC MICROPHONE ARRAY CALIBRATION FROM INCOMPLETE NOISY DISTANCES
Afsaneh Asaei, Idiap Research Institute, Switzerland; Nasser Mohammadiha, Dept. of Medical Physics and Acoustics and Cluster of Excellence Hearing4all, University of Oldenburg, Germany, Germany; Mohammad J. Taghizadeh, Idiap Research Institute, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland; Simon Doclo, Dept. of Medical Physics and Acoustics and Cluster of Excellence Hearing4all, University of Oldenburg, Germany, Germany; Hervé Bourlard, Idiap Research Institute, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland
SAM-P4.10: A MACHINE-HEARING SYSTEM EXPLOITING HEAD MOVEMENTS FOR BINAURAL SOUND LOCALISATION IN REVERBERANT CONDITIONS
Ning Ma, University of Sheffield, United Kingdom; Tobias May, Technical University of Denmark, Denmark; Hagen Wierstorf, Technische Universität Berlin, Germany; Guy J. Brown, University of Sheffield, United Kingdom
SAM-P4.11: COHERENT CHANNEL BASED SUBBAND MULTICHANNEL DEREVERBERATION
JeeSok Lee, Sejin Oh, Hong-Goo Kang, Yonsei University, Republic of Korea
SAM-P4.12: REAL-TIME MULTIPLE DOA ESTIMATION OF SPEECH SOURCES IN WIRELESS ACOUSTIC SENSOR NETWORKS
David Ayllón, Roberto Gil-Pita, Manuel Rosa-Zurera, University of Alcalá, Spain; Hamid Krim, North Carolina State University, United States
SAM-P5.1: DISTRIBUTED BEAMFORMING FOR COOPERATIVE NETWORKS WITH WIDELY-LINEAR PROCESSING AT THE RELAYS AND THE RECEIVER
Jens Steinwandt, Vimal Radhakrishnan, Martin Haardt, Ilmenau University of Technology, Germany
SAM-P5.2: ADAPTIVE MULTICAST BEAMFORMING: GUARANTEED CONVERGENCE AND STATE-OF-ART PERFORMANCE AT LOW COMPLEXITY
Balasubramanian Gopalakrishnan, Nicholas Sidiropoulos, University of Minnesota, United States
SAM-P5.3: OPTIMUM PHASE-ONLY DISCRETE BROADCAST BEAMFORMING WITH ANTENNA AND USER SELECTION IN INTERFERENCE LIMITED COGNITIVE RADIO NETWORKS
Özlem Demir, Engin Tuncer, Middle East Technical University, Turkey
SAM-P5.4: MULTICHANNEL SPEECH ENHANCEMENT USING MEMS MICROPHONES
Zisis Iason Skordilis, Antigoni Tsiami, Petros Maragos, National Technical University of Athens, Greece; Gerasimos Potamianos, University of Thessaly, Greece; Luca Spelgatti, Roberto Sannino, STMicroelectronics S.p.A., Italy
SAM-P5.5: A LOW-FREQUENCY SUPERDIRECTIVE ACOUSTIC VECTOR SENSOR ARRAY
Xijing Guo, Northwestern Polytechnical University, China; Shie Yang, Hu Zhang, Harbin Engineering University, China
SAM-P6.1: MISMATCHED FILTER DESIGN FOR RADAR WAVEFORMS BY SEMIDEFINITE RELAXATION
Tuomas Aittomaki, Visa Koivunen, Aalto University, Finland
SAM-P6.2: FUSION OF POLARIMETRIC RADAR IMAGES USING HYBRID MATCHING PURSUIT
Cong Peng, Shenzhen Institute of Information Technology, China; Gang Li, Tsinghua University, China; Robert Burkholder, The Ohio State University, United States
SAM-P6.3: MULTIPATH EXPLOITATION IN SPARSE SCENE RECOVERY USING SENSING-THROUGH-WALL DISTRIBUTED RADAR SENSOR CONFIGURATIONS
Michael Leigsnering, Technische Universitat Darmstadt, Germany; Fauzia Ahmad, Moeness G. Amin, Villanova University, United States; Abdelhak M. Zoubir, Technische Universitat Darmstadt, Germany
SAM-P6.4: RANDOM MATRIX THEORY INSPIRED PASSIVE BISTATIC RADAR DETECTION WITH NOISY REFERENCE SIGNAL
Sandeep Gogineni, Pawan Setlur, Wright State Research Institute, United States; Muralidhar Rangaswamy, Air Force Research Laboratory, United States; Raj Rao Nadakuditi, University of Michigan, United States
SAM-P6.5: GROUND MOVING TARGET IMAGING BY SYNTHETIC APERTURE RADAR BASED ON AN UNIFIED FRAMEWORK OF KEYSTONE TRANSFORMATION
Lei Yang, Lifan Zhao, Lu Wang, Guoan Bi, EEE-NTU, Singapore
SAM-P6.6: OPTIMAL GEOMETRY ANALYSIS FOR ELLIPTIC TARGET LOCALIZATION BY MULTISTATIC RADAR WITH INDEPENDENT BISTATIC CHANNELS
Ngoc Hung Nguyen, Kutluyil Dogançay, University of South Australia, Australia
SAM-P6.7: APERIODIC WAVEFORMS WITH MISMATCHED FILTERING FOR TARGET DETECTION IN HEAVY CLUTTER. PART I - SIMO RADAR ARCHITECTURE
Yuri Abramovich, WR Systems Ltd, United States; Geoff San Antonio, Naval Research Laboratory, United States; Gordon Frazer, Defence Science and Technology Organisation, Australia
SAM-P6.8: ON TRANSMIT BEAMFORMING IN MIMO RADAR WITH MATRIX COMPLETION
Shunqiao Sun, Athina Petropulu, Rutgers, The State University of New Jersey, United States
SAM-P6.9: 3D SAR BEAMFORMING UNDER A FOLIAGE CANOPY FROM A SINGLE PASS
Paul Pincus, University of Adelaide, Australia; Mark Preiss, Defence Science and Technology Organisation, Australia; Douglas Gray, University of Adelaide, Australia
SAM-P6.11: AUGMENTED COVARIANCE ESTIMATION WITH A CYCLIC APPROACH IN DOA
Roi Méndez-Rial, Nuria González-Prelcic, Universidade de Vigo, Spain; Robert W. Heath Jr., The University of Texas at Austin, United States
SAM-P7.1: A SIMPLE METHOD FOR DOA ESTIMATION IN THE PRESENCE OF UNKNOWN NONUNIFORM NOISE
Bin Liao, Shenzhen University, China; S. C. Chan, The University of Hong Kong, China
SAM-P7.2: LOW-COMPLEXITY ROBUST DOA ESTIMATION
Bogdan Dumitrescu, Tampere University of Technology, Finland; Cristian Rusu, Politehnica University of Bucharest, Romania; Ioan Tabus, Jaakko Astola, Tampere University of Technology, Finland
SAM-P7.3: IMPROVED DIRECTION FINDING USING A MANEUVERABLE ARRAY OF DIRECTIONAL SENSORS
Houcem Gazzah, University of Sharjah, United Arab Emirates; Jean-Pierre Delmas, Telecom SudParis, France; Sergio Jesus, Universidade do Algarve, Portugal
SAM-P7.4: PERFORMANCE ANALYSIS OF MUSIC IN THE PRESENCE OF MODELING ERRORS DUE TO THE SPATIAL DISTRIBUTIONS OF SOURCES
Wenmeng Xiong, José Picheral, Supélec, France; Sylvie Marcos, CNRS, France
SAM-P7.5: ESPRIT-TYPE ALGORITHMS FOR A RECEIVED MIXTURE OF CIRCULAR AND STRICTLY NON-CIRCULAR SIGNALS
Jens Steinwandt, Florian Roemer, Martin Haardt, Ilmenau University of Technology, Germany
SAM-P7.6: A LEARNING-BASED APPROACH TO DIRECTION OF ARRIVAL ESTIMATION IN NOISY AND REVERBERANT ENVIRONMENTS
Xiong Xiao, Nanyang Technological University, Singapore; Shengkui Zhao, Advanced Digital Sciences Center, Singapore; Xionghu Zhong, Nanyang Technological University, Singapore; Douglas L. Jones, Advanced Digital Sciences Center, Singapore; Eng Siong Chng, Nanyang Technological University, Singapore; Haizhou Li, Institute for Infocomm Research, Singapore
SAM-P7.10: UNSCENTED TRANSFORMATION BASED ARRAY INTERPOLATION
Marco Marinho, João da Costa, Universidade de Brasília, Brazil; Felix Antreich, German Aerospace Center, Germany; Leonardo de Menezes, Universidade de Brasília, Brazil
SAM-P7.11: PERFORMANCE ANALYSIS OF SPATIAL SMOOTHING SCHEMES IN THE CONTEXT OF LARGE ARRAYS.
Gia-Thuy Pham, Université Paris-Est/Marne-la-Vallée, France; Philippe Loubaton, Université Paris-Est/Marne-la-Vallée et Institut Universitaire de France, France; Pascal Vallet, Enseirb-Matmeca, France
SAM-P7.12: A STATISTICAL COMPARISON BETWEEN MUSIC AND G-MUSIC
Pascal Vallet, Bordeaux INP, France; Philippe Loubaton, Université Paris-Est/Marne-la-Vallée, France; Xavier Mestre, CTTC, Spain
SAM-P8.1: ANCHOR NODES REFINEMENT IN JOINT LOCALIZATION AND SYNCHRONIZATION OF A SENSOR NODE
Liyang Rui, Shanjie Chen, Dominic K. C. Ho, University of Missouri, United States
SAM-P8.3: LOW-RANK APPROXIMATION-BASED DISTRIBUTED NODE-SPECIFIC SIGNAL ESTIMATION IN A FULLY-CONNECTED WIRELESS SENSOR NETWORK
Amin Hassani, Alexander Bertrand, Marc Moonen, KU Leuven, Belgium
SAM-P8.4: COOPERATIVE SELF-LOCALIZATION IN ASYNCHRONOUS SENSORS NETWORKS BASED ON TOA FROM TRANSMITTERS AT UNKNOWN LOCATIONS
Arie Yeredor, Tel-Aviv University, Israel
SAM-P8.5: LARGE-SCALE SENSOR NETWORK LOCALIZATION VIA RIGID SUBNETWORK REGISTRATION
Kunal N. Chaudhury, Indian Institute of Science, India; Yuehaw Khoo, Amit Singer, Princeton University, United States
SAM-P8.6: COOPERATIVE LOCALIZATION WITH INFORMATION-SEEKING CONTROL
Florian Meyer, Vienna University of Technology, Austria; Henk Wymeersch, Chalmers University of Technology, Austria; Franz Hlawatsch, Vienna University of Technology, Austria
SAM-P8.7: ON THE BROADBAND EFFECT OF REMOTE STATIONS IN DPD ALGORITHM
Cyrile Delestre, Anne Ferréol, Thales - CNRS, France; Alon Amar, Rafael, Israel; Pascal Larzabal, CNRS, France
SAM-P8.8: OPTIMUM NODE SELECTION FOR PROTECTION UNDER POWER GRID STATE ESTIMATION
Qian He, Duo Bai, University of Electronic Science and Technology of China, China; Rick Blum, Lehigh University, United States
SAM-P8.9: VOLTAGE SAGS ESTIMATION IN THREE-PHASE SYSTEMS USING UNCONDITIONAL MAXIMUM LIKELIHOOD ESTIMATION
Vincent Choqueuse, University of Brest, France; Adel Belouchrani, Ecole Nationale Polytechnique d’Alger, Algeria; Guillaume Bouleux, Université de Saint Etienne, France; M.E.H Benbouzid, University of Brest, France
SAM-P8.10: NONLINEAR, REDUCED ORDER, DISTRIBUTED STATE ESTIMATION IN MICROGRIDS
Shivam Saxena, York University, Canada; Amir Asif, Concordia University, Canada; Hany Farag, York University, Canada
SAM-P8.11: A UNIFIED APPROACH FOR HYBRID SOURCE LOCALIZATION BASED ON RANGES AND VIDEO
Beatriz Quintino Ferreira, João Gomes, João P. Costeira, Institute for Systems and Robotics, Instituto Superior Técnico, Universidade de Lisboa, Portugal
SAM-P8.12: BI-DIRECTIONAL DIFFERENTIAL BEAMFORMING FOR MULTI-ANTENNA RELAYING
Adrian Schad, Samer J. Alabed, Holger Degenhardt, Marius Pesavento, Technische Universität Darmstadt, Germany
SPCOM-L1.1: OPTIMAL BASE STATION DENSITIES FOR COST-EFFICIENT MULTI-TIER HETEROGENEOUS CELLULAR NETWORKS
Ran Cai, The Chinese University of Hong Kong, Hong Kong SAR of China; Wei Zhang, The University of New South Wales, Australia; Pak-Chung Ching, The Chinese University of Hong Kong, Hong Kong SAR of China
SPCOM-L1.2: SEMI-ASYNCHRONOUS ROUTING FOR LARGE SCALE HIERARCHICAL NETWORKS
Wei-Cheng Liao, University of Minnesota, United States; Mingyi Hong, Iowa State University, United States; Hamid Farmanbar, Huawei Canada Research Centre, Canada; Zhi-Quan Luo, University of Minnesota, United States
SPCOM-L1.3: BASE STATION CLUSTERING IN HETEROGENEOUS NETWORK WITH FINITE BACKHAUL CAPACITY
Qian Zhang, Chen He, Lingge Jiang, Shanghai Jiao Tong University, China
SPCOM-L1.4: INTERFERENCE STATISTICS IN A RANDOM MMWAVE AD HOC NETWORK
Andrew Thornburg, Tianyang Bai, Robert W. Heath Jr., The University of Texas at Austin, United States
SPCOM-L1.5: COMPRESSED SENSING BASED MULTI-USER MILLIMETER WAVE SYSTEMS: HOW MANY MEASUREMENTS ARE NEEDED?
Ahmed Alkhateeb, The University of Texas at Austin, United States; Geert Leus, Delft University of Technology, Netherlands; Robert W. Heath Jr., The University of Texas at Austin, United States
SPCOM-L1.6: AN ATTACK ON ANTENNA SUBSET MODULATION FOR MILLIMETER WAVE COMMUNICATION
Cristian Rusu, Nuria González-Prelcic, Robert W. Heath Jr., Universidade de Vigo, Spain
SPCOM-L2.1: BLIND ESTIMATION OF EFFECTIVE DOWNLINK CHANNEL GAINS IN MASSIVE MIMO
Hien Quoc Ngo, Erik G. Larsson, Linköping University, Sweden
SPCOM-L2.2: EFFICIENT COLLABORATIVE SPARSE CHANNEL ESTIMATION IN MASSIVE MIMO
Mudassir Masood, Laila H. Afify, King Abdullah University of Science and Technology (KAUST), Saudi Arabia; Tareq Y. Al-Naffouri, King Abdullah University of Science and Technology (KAUST), KFUPM, Saudi Arabia
SPCOM-L2.3: HYBRID DIGITAL AND ANALOG BEAMFORMING DESIGN FOR LARGE-SCALE MIMO SYSTEMS
Foad Sohrabi, Wei Yu, University of Toronto, Canada
SPCOM-L2.4: JOINT GROUP POWER ALLOCATION AND PREBEAMFORMING FOR JOINT SPATIAL-DIVISION MULTIPLEXING IN MULTIUSER MASSIVE MIMO SYSTEMS
Xiyuan Wang, Zhongshan Zhang, Keping Long, University of Science and Technology Beijing, China; Xian-Da Zhang, Tsinghua University, China
SPCOM-L2.5: A LOW COMPLEXITY ITERATIVE SOFT-DECISION FEEDBACK MMSE-PIC DETECTION ALGORITHM FOR MASSIVE MIMO
Licai Fang, Lu Xu, Qinghua Guo, Defeng (David) Huang, The University of Western Australia, Australia; Sven Nordholm, Curtin University, Australia
SPCOM-L3.1: NETWORK FORMATION GAMES BASED ON CONDITIONAL INDEPENDENCE GRAPHS
Sergio Barbarossa, Paolo Di Lorenzo, Sapienza University of Rome, Italy; Mihaela van der Schaar, University of California, Los Angeles, United States
SPCOM-L3.2: DISTRIBUTED TLS ESTIMATION UNDER RANDOM DATA FAULTS
Silvana Silva Pereira, Alba Pagès-Zamora, Universitat Politècnica de Catalunya - Barcelona Tech, Spain; Roberto López-Valcarce, Universidade de Vigo, Spain
SPCOM-L3.3: MINIMUM INFORMATION DOMINATING SET FOR CRITICAL SAMPLING OVER GRAPHS
Jianhang Gao, Qing Zhao, University of California, Davis, United States; Ananthram Swami, U.S. Army Research Laboratory, United States
SPCOM-L3.4: AN APPROXIMATE NEWTON METHOD FOR DISTRIBUTED OPTIMIZATION
Aryan Mokhtari, University of Pennsylvania, United States; Qing Ling, University of Science and Technology of China, China; Alejandro Ribeiro, University of Pennsylvania, United States
SPCOM-L3.5: A PROXIMAL GRADIENT ALGORITHM FOR DECENTRALIZED NONDIFFERENTIABLE OPTIMIZATION
Wei Shi, Qing Ling, Gang Wu, University of Science and Technology of China, China; Wotao Yin, University of California, Los Angeles, United States
SPCOM-L3.6: REGRET BOUNDS OF A DISTRIBUTED SADDLE POINT ALGORITHM
Alec Koppel, Felicia Jakubiec, Alejandro Ribeiro, University of Pennsylvania, United States
SPCOM-P1.2: NONCOHERENT SEQUENCE DETECTION OF ORTHOGONALLY MODULATED SIGNALS IN FLAT FADING WITH LOG-LINEAR COMPLEXITY
Panos Alevizos, Yannis Fountzoulas, George Karystinos, Aggelos Bletsas, Technical University of Crete, Greece
SPCOM-P1.3: BAYESIAN NARROWBAND INTERFERENCE MITIGATION IN SC-FDMA
Anum Ali, Mudassir Masood, King Abdullah University of Science and Technology (KAUST), Saudi Arabia; Samir Al-Ghadhban, King Fahd University of Petroleum and Minerals, Saudi Arabia; Tareq Y. Al-Naffouri, King Abdullah University of Science and Technology (KAUST), Saudi Arabia
SPCOM-P1.4: COMPARATIVE PERFORMANCE EVALUATION OF ERROR REGULARIZED TURBO-MIMO MMSE-SIC DETECTORS IN GAUSSIAN CHANNELS
Alexander Krebs, Michael Joham, Wolfgang Utschick, Technische Universität München, Germany
SPCOM-P1.5: BLIND EQUALIZATION AND AUTOMATIC MODULATION CLASSIFICATION BASED ON PDF FITTING
Souhaila Fki, Abdeldjalil Aissa-El-Bey, Thierry Chonavel, Télécom Bretagne, France
SPCOM-P1.6: ENHANCING LDPC CODE PERFORMANCE USING PILOT BITS
Jack F. Adolph, Jan C. Olivier, Brian P. Salmon, University of Tasmania, Australia
SPCOM-P1.7: LOW-COMPLEXITY COMPRESSIVE SENSING DETECTION FOR MULTI-USER SPATIAL MODULATION SYSTEMS
Adrian Garcia-Rodriguez, Christos Masouros, University College London, United Kingdom
SPCOM-P1.8: ACCELERATING AND DECELERATING MIN-SUM-BASED GEAR-SHIFT LDPC DECODERS
Joao Andrade, Gabriel Falcao, Vitor Silva, Instituto de Telecomunicações, Portugal
SPCOM-P1.9: SINGLE CARRIER WITH MULTI-CHANNEL TIME-FREQUENCY DOMAIN EQUALIZATION FOR UNDERWATER ACOUSTIC COMMUNICATIONS
Chengbing He, Siyu Huo, Han Wang, Qunfei Zhang, Jianguo Huang, Northwestern Polytechnical University, China
SPCOM-P1.10: MODULATION CLASSIFICATION IN MIMO FADING CHANNELS VIA EXPECTATION MAXIMIZATION WITH NON-DATA-AIDED INITIALIZATION
Zhechen Zhu, Asoke Nandi, Brunel University London, United Kingdom
SPCOM-P1.11: LOW-COMPLEXITY MINIMUM-SER CHANNEL EQUALIZATION FOR OFDM UNDERWATER ACOUSTIC COMMUNICATIONS
Beixiong Zheng, Fangjiong Chen, Miaowen Wen, Fei Ji, Hua Yu, South China University of Technology, China
SPCOM-P1.12: SPARSE SYMBOL DETECTION BY A GREEDY TREE SEARCH
Jaeseok Lee, Byonghyo Shim, Seoul National University, Republic of Korea
SPCOM-P2.2: A DECOMPOSITION METHOD FOR OPTIMAL USER ASSIGNMENT IN CELLULAR NETWORKS WITH ORTHOGONAL TRANSMISSIONS
Antonio G. Marques, Luis Cadarso, Eduardo Morgado, Carlos Figuera, King Juan Carlos University, Spain
SPCOM-P2.3: OPTIMIZATION METHODS FOR SEQUENCE DESIGN WITH LOW AUTOCORRELATION SIDELOBES
Junxiao Song, Prabhu Babu, Daniel P. Palomar, Hong Kong University of Science and Technology, Hong Kong SAR of China
SPCOM-P2.4: SUM RATE MAXIMIZATION MODEL OF NON-REGENERATIVE MULTI-STREAM MULTI-PAIR MULTI-RELAY NETWORK
Cong Sun, Beijing University of Posts and Telecommunications, China; Eduard Jorswieck, Dresden University of Technology, Germany
SPCOM-P2.5: TOPOLOGICAL INTERFERENCE MANAGEMENT FOR TWO CELL INTERFERENCE BROADCAST CHANNELS WITH ALTERNATING CONNECTIVITY
Paula Aquilina, Tharmalingam Ratnarajah, University of Edinburgh, United Kingdom
SPCOM-P2.6: ACHIEVABLE DEGREES-OF-FREEDOM OF (N,K)-USER INTERFERENCE CHANNEL WITH DISTRIBUTED BEAMFORMING
Seong Ho Chae, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea; Bang Chul Jung, Gyeongsang National University, Republic of Korea; Wan Choi, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea
SPCOM-P2.7: RANDOM SEQUENTIAL SCHEDULING FOR WIRELESS D2D COMMUNICATIONS
Shan Zhou, LinkedIn, United States; Daji Qiao, Iowa State University, United States; Lei Ying, Arizona State University, United States
SPCOM-P2.8: FAIRNESS CONSIDERATIONS IN FULL-DUPLEX MIMO INTERFERENCE CHANNELS
Ali Cagatay Cirik, University of Oulu, Finland; Yue Rong, Curtin University, Australia; Yingbo Hua, University of California, Riverside, United States; Matti Latva-aho, University of Oulu, Finland
SPCOM-P2.9: ON OPTIMAL ROUTING AND POWER ALLOCATION FOR D2D COMMUNICATIONS
Vinnu Bhardwaj, Chandra Murthy, Indian Institute of Science, India
SPCOM-P2.10: AN ITERATIVE REWEIGHTED MINIMIZATION FRAMEWORK FOR JOINT CHANNEL AND POWER ALLOCATION IN THE OFDMA SYSTEM
Peng Liu, Xidian University, China; Yafeng Liu, Chinese Academy of Sciences, China; Jiandong Li, Xidian University, China
SPCOM-P2.11: FRACTIONAL SPATIAL REUSE PRECODING FOR MIMO DOWNLINK NETWORKS
Ahmed Medra, Timothy Davidson, McMaster University, Canada
SPCOM-P3.4: A LOW COMPLEXITY OPTIMIZATION ALGORITHM FOR ZERO-FORCING PRECODING UNDER PER-ANTENNA POWER CONSTRAINTS
Bin Li, Hai Huyen Dam, Kok Lay Teo, Curtin University, Australia; Antonio Cantoni, The University of Western Australia, Australia
SPCOM-P3.5: ROBUST PRECODING DESIGN FOR MULTIBEAM DOWNLINK SATELLITE CHANNEL WITH PHASE UNCERTAINTY
Ahmad Gharanjik, University of Luxembourg / KTH Royal Institute of Technology, Luxembourg; Bhavani Shankar M.R., University of Luxembourg, Luxembourg; P. D. Arapoglou, Ajilon Aerospace, Netherlands; Mats Bengtsson, KTH Royal Institute of Technology, Sweden; Björn Ottersten, University of Luxembourg / KTH Royal Institute of Technology, Luxembourg
SPCOM-P3.6: A BEAMFORMED ALAMOUTI AMPLIFY-AND-FORWARD SCHEME IN MULTIGROUP MULTICAST CLOUD-RELAY NETWORKS
Sissi Xiaoxiao Wu, Anthony Man-Cho So, Wing-Kin Ma, The Chinese University of Hong Kong, Hong Kong SAR of China
SPCOM-P3.7: MAXIMUM EXPECTED ACHIEVABLE RATE COMBINING FOR LIMITED FEEDBACK BLOCK-DIAGONALIZATION
Stefan Schwarz, Markus Rupp, Vienna University of Technology, Austria
SPCOM-P3.8: ENERGY-EFFICIENT PRECODING MATRIX DESIGN FOR RELAY-AIDED MULTIUSER DOWNLINK NETWORKS
Wei-Chiang Li, Rui-Yu Chang, Kun-Yu Wang, Chong-Yung Chi, National Tsing Hua University, Taiwan
SPCOM-P3.9: DELAY CONTROL FOR CDF SCHEDULING WITH DEADLINES
PhuongBang Nguyen, Bhaskar Rao, University of California, San Diego, United States
SPCOM-P3.10: LOW-COMPLEXITY ROBUST MISO DOWNLINK PRECODER OPTIMIZATION FOR THE LIMITED FEEDBACK CASE
Mostafa Medra, McMaster University, Canada; Wing-Kin Ma, The Chinese University of Hong Kong, Hong Kong SAR of China; Timothy Davidson, McMaster University, Canada
SPCOM-P3.12: ROBUST BEAMFORMER AND ARTIFICIAL NOISES FOR MISO WIRETAP CHANNELS WITH MULTIPLE EAVESDROPPERS
Shuichi Ohno, Hiroshima University, Japan; Yuji Wakasa, Yamaguchi University, Japan
SPCOM-P4.2: TIME-REVERSAL SPACE–TIME CODES IN ASYNCHRONOUS TWO-WAY DOUBLE-ANTENNA RELAY NETWORKS
Yun Liu, The Chinese University of Hong Kong, Hong Kong SAR of China; Wei Zhang, The University of New South Wales, Australia; Pak-Chung Ching, The Chinese University of Hong Kong, Hong Kong SAR of China
SPCOM-P4.3: APPROACH TO FRAME-MISALIGNMENT IN PHYSICAL-LAYER NETWORK CODING
Bao Nguyen, David Haley, Ying Chen, Terence Chan, University of South Australia, Australia
SPCOM-P4.4: MULTIUSER COOPERATIVE TRANSMISSION THROUGH SUPERPOSITION MODULATION BASED ON BRAID CODING
Xuanxuan Lu, Jing Li, Yang Liu, Lehigh University, United States
SPCOM-P4.5: OPTIMAL DESIGN AND POWER ALLOCATION FOR MULTICARRIER DECODE AND FORWARD RELAYS
Ramy H. Gohary, Rozita Rashtchi, Halim Yanikomeroglu, Carleton University, Canada
SPCOM-P4.6: DIVERSITY COMBINING IN WIRELESS RELAY NETWORKS WITH PARTIAL CHANNEL STATE INFORMATION
Kun Wang, Wenhao Wu, Zhi Ding, University of California, Davis, United States
SPCOM-P4.7: SECRECY RATE ANALYSIS FOR JAMMING ASSISTED RELAY COMMUNICATIONS SYSTEMS
Jingping Qiao, Haixia Zhang, Shandong University, China; Dalei Wu, Massachusetts Institute of Technology, United States; Dongfeng Yuan, Shandong University, China
SPCOM-P4.8: DOUBLE DIFFERENTIAL TRANSMISSION FOR TWO-WAY RELAY SYSTEMS WITH UNKNOWN CARRIER FREQUENCY OFFSETS
Zhenzhen Gao, Chao Zhang, Yichen Wang, Xi'an Jiaotong University, China
SPCOM-P4.9: ACCURATE KERNEL-BASED SPECTRUM SENSING FOR GAUSSIAN AND NON-GAUSSIAN NOISE MODELS
Argin Margoosian, Jamshid Abouei, Yazd University, Iran; Konstantinos N. Plataniotis, University of Toronto, Canada
SPCOM-P4.10: WAVELET-BASED COMPRESSED SPECTRUM SENSING FOR COGNITIVE RADIO WIRELESS NETWORKS
Hilmi Egilmez, Antonio Ortega, University of Southern California, United States
SPCOM-P4.11: PARAMETRIC FRUGAL SENSING OF MOVING AVERAGE POWER SPECTRA
Aritra Konar, Nicholas Sidiropoulos, University of Minnesota, United States
SPCOM-P5.1: RATIONAL CONSUMER BEHAVIOR MODELS IN SMART PRICING
Ceyhun Eksin, University of Pennsylvania, United States; Hakan Deliç, Bogazici University, Turkey; Alejandro Ribeiro, University of Pennsylvania, United States
SPCOM-P5.2: PRIVACY CONSTRAINED ENERGY MANAGEMENT FOR SELF-INTERESTED MICROGRIDS
Katayoun Rahbar, Rui Zhang, National University of Singapore, Singapore; Chin Choy Chai, Institute for Infocomm Research, Singapore
SPCOM-P5.3: A STACKELBERG GAME-BASED ENERGY TRADING SCHEME FOR POWER BEACON-ASSISTED WIRELESS-POWERED COMMUNICATION
He Chen, Yonghui Li, The University of Sydney, Australia; Zhu Han, University of Houston, United States; Branka Vucetic, The University of Sydney, Australia
SPCOM-P5.4: MULTIUSER CHARGING CONTROL IN WIRELESS POWER TRANSFER VIA MAGNETIC RESONANT COUPLING
Mohammad Reza Vedady Moghadam Nanehkaran, Rui Zhang, National University of Singapore, Singapore
SPCOM-P5.5: WIRELESS INFORMATION AND POWER TRANSFER IN MIMO CHANNELS UNDER RICIAN FADING
Ayca Ozcelikkale, Tomas McKelvey, Mats Viberg, Chalmers University of Technology, Sweden
SPCOM-P5.6: GNSS SPOOFING DETECTION USING MULTIPLE MOBILE COTS RECEIVERS
Erik Axell, Swedish Defence Research Agency, Sweden; Erik G. Larsson, Daniel Persson, Linköping University, Sweden
SPCOM-P5.7: DISTRIBUTED AOA-BASED SOURCE POSITIONING IN NLOS WITH SENSOR NETWORKS
Pere Gimenez-Febrer, Alba Pagès-Zamora, Silvana Silva Pereira, Universitat Politècnica de Catalunya, Spain; Roberto López-Valcarce, Universidade de Vigo, Spain
SPCOM-P5.8: AVERAGING BASED DISTRIBUTED ESTIMATION ALGORITHM FOR SENSOR NETWORKS WITH QUANTIZED AND DIRECTED COMMUNICATION
Shanying Zhu, Yeng Chai Soh, Lihua Xie, Shuai Liu, Nanyang Technological University, Singapore
SPCOM-P5.9: DIFFUSION FILTRATION WITH APPROXIMATE BAYESIAN COMPUTATION
Kamil Dedecius, Institute of Information Theory and Automation, Czech Academy of Sciences, Czech Republic; Petar Djuric, Stony Brook University, United States
SPCOM-P5.10: OPTIMUM DECISION FUSION IN COGNITIVE WIRELESS SENSOR NETWORKS WITH UNKNOWN USERS LOCATION
Andrea Abrardo, Mauro Barni, University of Siena, Italy
SPCOM-P5.11: MOBILE ADAPTIVE NETWORKS FOR PURSUING MULTIPLE TARGETS
May Zar Lin, Manohar Murthi, Kamal Premaratne, University of Miami, United States
SPCOM-P6.5: MULTI-SCALE MULTI-LAG CHANNEL ESTIMATION VIA LINEARIZATION OF TRAINING SIGNAL SPECTRUM AND SPARSE APPROXIMATION
Sajjad Beygi, Urbashi Mitra, University of Southern California, United States; Mariane R. Petraglia, Federal University of Rio de Janeiro, Brazil
SPCOM-P6.6: SUBSPACE-BASED PHASE NOISE ESTIMATION IN OFDM RECEIVERS
Pramod Mathecken, Stefan Werner, Taneli Riihonen, Risto Wichman, Aalto University, Finland
SPCOM-P6.7: IMPULSIVE NOISE DETECTION IN PLC WITH SMOOTHED L0-NORM
Filbert H. Juwono, The University of Western Australia, Australia; Qinghua Guo, The University of Western Australia and University of Wollongong, Australia; Defeng (David) Huang, Kit Po Wong, Lu Xu, The University of Western Australia, Australia
SPCOM-P6.8: ON THE SPECTRAL GROWTH OF THE POLAR REPRESENTATION OF COMMUNICATION SIGNALS
Bin Yang, University Stuttgart, Germany
SPCOM-P6.9: GENERALIZED DIRECT PREDISTORTION WITH ADAPTIVE CREST FACTOR REDUCTION CONTROL
Roberto Piazza, Bhavani Shankar M.R., Björn Ottersten, University of Luxembourg, Luxembourg
SPCOM-P6.10: ON THE VON MISES APPROXIMATION FOR THE DISTRIBUTION OF THE PHASE ANGLE BETWEEN TWO INDEPENDENT COMPLEX GAUSSIAN VECTORS
Nick Letzepis, Defence Science and Technology Organisation, Australia
SPCOM-P6.11: SPECTRUM CARTOGRAPHY USING QUANTIZED OBSERVATIONS
Daniel Romero, University of Vigo, Spain; Seung-Jun Kim, University of Maryland, Baltimore County, United States; Roberto López-Valcarce, University of Vigo, Spain; Georgios Giannakis, University of Minnesota, United States
SPTM-L1.1: A PROBABILISTIC INTERPRETATION OF SAMPLING THEORY OF GRAPH SIGNALS
Akshay Gadde, Antonio Ortega, University of Southern California, United States
SPTM-L1.2: CONSENSUS FOR THE DISTRIBUTED ESTIMATION OF POINT DIFFUSION SOURCES IN SENSOR NETWORKS
John Murray-Bruce, Pier Luigi Dragotti, Imperial College London, United Kingdom
SPTM-L1.3: FAST COMPRESSIVE PHASE RETRIEVAL FROM FOURIER MEASUREMENTS
Cagkan Yapar, Volker Pohl, Holger Boche, Technische Universität München, Germany
SPTM-L1.4: UNIVERSAL LOWER BOUNDS ON SAMPLING RATES FOR COVARIANCE ESTIMATION
Deborah Cohen, Yonina C. Eldar, Technion - Israel Institute of Technology, Israel; Geert Leus, TU Delft, Netherlands
SPTM-L1.5: RECOVERING SIGNALS FROM THE SHORT-TIME FOURIER TRANSFORM MAGNITUDE
Kishore Jaganathan, California Institute of Technology, United States; Yonina C. Eldar, Technion - Israel Institute of Technology, Israel; Babak Hassibi, California Institute of Technology, United States
SPTM-L1.6: COLLABORATIVE COMPRESSIVE X-RAY IMAGE RECONSTRUCTION
Jiaji Huang, Xin Yuan, Robert Calderbank, Duke University, United States
SPTM-L2.1: CHASING BUTTERFLIES: IN SEARCH OF EFFICIENT DICTIONARIES
Luc Le Magoarou, Rémi Gribonval, INRIA, France
SPTM-L2.2: AN ONLINE ALGORITHM FOR DISTRIBUTED DICTIONARY LEARNING
Symeon Chouvardas, Huawei Technologies Co. Ltd., Greece; Yannis Kopsinis, Sergios Theodoridis, University of Athens, Greece
SPTM-L2.3: SUBSPACE PROJECTION MATRIX COMPLETION ON GRASSMANN MANIFOLD
Xinyue Shen, Yuantao Gu, Tsinghua University, China
SPTM-L2.4: OUTLIER IDENTIFICATION VIA RANDOMIZED ADAPTIVE COMPRESSIVE SAMPLING
Xingguo Li, Jarvis Haupt, University of Minnesota, United States
SPTM-L2.5: REDUCED-RANK MODELING OF TIME-VARYING SPECTRAL PATTERNS FOR SUPERVISED SOURCE SEPARATION
Tomonori Fujiwara, Masao Yamagishi, Isao Yamada, Tokyo Institute of Technology, Japan
SPTM-L2.6: SPARSE AND LOW RANK DECOMPOSITION USING L_0 PENALTY
Magnus O. Ulfarsson, University of Iceland, Iceland; Victor Solo, Goran Markovic, University of New South Wales, Australia
SPTM-L3.1: WEIGHTED ONE-NORM MINIMIZATION WITH INACCURATE SUPPORT ESTIMATES: SHARP ANALYSIS VIA THE NULL-SPACE PROPERTY
Hassan Mansour, Mitsubishi Electric Research Laboratories (MERL), United States; Rayan Saab, University of California, San Diego, United States
SPTM-L3.2: THE PROPORTIONAL MEAN DECOMPOSITION: A BRIDGE BETWEEN THE GAUSSIAN AND BERNOULLI ENSEMBLES
Samet Oymak, University of California, Berkeley, United States; Babak Hassibi, California Institute of Technology, United States
SPTM-L3.3: COMPRESSIVE PARAMETER ESTIMATION VIA APPROXIMATE MESSAGE PASSING
Shermin Hamzehei, Marco Duarte, University of Massachusetts Amherst, United States
SPTM-L3.4: DYNAMIC SPARSE STATE ESTIMATION USING L1-L1 MINIMIZATION: ADAPTIVE-RATE MEASUREMENT BOUNDS, ALGORITHMS AND APPLICATIONS
Joao Mota, Nikos Deligiannis, University College London, United Kingdom; Aswin Sankaranarayanan, Carnegie Mellon University, United States; Volkan Cevher, École Polytechnique Fédérale de Lausanne, Switzerland; Miguel Rodrigues, University College London, United Kingdom
SPTM-L3.5: LEARNING INTERPRETABLE CLASSIFICATION RULES USING SEQUENTIAL ROW SAMPLING
Sanjeeb Dash, Dmitry Malioutov, Kush Varshney, IBM Research, United States
SPTM-L3.6: A NUMERICAL IMPLEMENTATION OF GRIDLESS COMPRESSED SENSING
Ashkan Panahi, Mats Viberg, Chalmers University of Technology, Sweden; Babak Hassibi, California Institute of Technology, United States
SPTM-L4.1: A TENSOR LMS ALGORITHM
Markus Rupp, Stefan Schwarz, TU Wien, Austria
SPTM-L4.2: PROXIMAL DIFFUSION FOR STOCHASTIC COSTS WITH NON-DIFFERENTIABLE REGULARIZERS
Stefan Vlaski, Ali H. Sayed, University of California, Los Angeles, United States
SPTM-L4.3: THE WIDELY LINEAR QUATERNION RECURSIVE TOTAL LEAST SQUARES
Thiannithi Thanthawaritthisai, Imperial College London, United Kingdom; Felipe Tobar, University of Cambridge, United Kingdom; Anthony Constantinides, Danilo P. Mandic, Imperial College London, United Kingdom
SPTM-L4.4: ONLINE LEARNING BASED ON ITERATIVE PROJECTIONS IN SUM SPACE OF LINEAR AND GAUSSIAN REPRODUCING KERNEL HILBERT SPACES
Masahiro Yukawa, Keio University, Japan
SPTM-L4.5: AN EFFICIENT KERNEL NORMALIZED LEAST MEAN SQUARE ALGORITHM WITH COMPACTLY SUPPORTED KERNEL
Osamu Toda, Masahiro Yukawa, Keio University, Japan
SPTM-L4.6: IDENTIFICATION OF THE PARAMETRIC ARRAY LOUDSPEAKER WITH A VOLTERRA FILTER USING THE SPARSE NLMS ALGORITHM
Chuang Shi, Yoshinobu Kajikawa, Kansai University, Japan
SPTM-L5.1: EXACT ASYMPTOTICS OF DISTRIBUTED DETECTION OVER ADAPTIVE NETWORKS
Vincenzo Matta, University of Salerno, Italy; Paolo Braca, NATO-STO Centre for Maritme Research and Expirmentation, Italy; Stefano Maranò, University of Salerno, Italy; Ali H. Sayed, University of California, Los Angeles, United States
SPTM-L5.2: BAYESIAN SOCIAL LEARNING IN LINEAR NETWORKS OF AGENTS WITH RANDOM BEHAVIOR
Yunlong Wang, Petar Djuric, Stony Brook University, United States
SPTM-L5.3: STABILITY AND CONTINUITY OF CENTRALITY MEASURES IN WEIGHTED GRAPHS
Santiago Segarra, Alejandro Ribeiro, University of Pennsylvania, United States
SPTM-L5.4: SAMPLING THEORY FOR GRAPH SIGNALS
Siheng Chen, Carnegie Mellon University, United States; Aliaksei Sandryhaila, HP Vertica, United States; Jelena Kovacevic, Carnegie Mellon University, United States
SPTM-L5.5: MULTI-GRAPH LEARNING OF SPECTRAL GRAPH DICTIONARIES
Dorina Thanou, Pascal Frossard, École Polytechnique Fédérale de Lausanne, Switzerland
SPTM-L5.6: PHASE TRANSITIONS IN SPECTRAL COMMUNITY DETECTION OF LARGE NOISY NETWORKS
Pin-Yu Chen, Alfred O. Hero III, University of Michigan, Ann Arbor, United States
SPTM-L6.1: ROBUST BINARY HYPOTHESIS TESTING UNDER CONTAMINATED LIKELIHOODS
Dennis Wei, Kush Varshney, IBM T.J. Watson Research Center, United States
SPTM-L6.2: SECOND ORDER STATISTICS OF BILINEAR FORMS OF ROBUST SCATTER ESTIMATORS
Abla Kammoun, King Abdullah University of Science and Technology (KAUST), Saudi Arabia; Romain Couillet, Supélec, France; Frédéric Pascal, SONDRA / SUPELEC, France
SPTM-L6.3: LARGE DIMENSIONAL ANALYSIS OF MARONNA’S M-ESTIMATOR WITH OUTLIERS
David Morales Jimenez, Hong Kong University of Science and Technology, Hong Kong SAR of China; Romain Couillet, Supélec, France; Matthew R. McKay, Hong Kong University of Science and Technology, Hong Kong SAR of China
SPTM-L6.4: A NEW ROBUST AND EFFICIENT ESTIMATOR FOR ILL-CONDITIONED LINEAR INVERSE PROBLEMS WITH OUTLIERS
Marta Martinez-Camara, École Polytechnique Fédérale de Lausanne, Switzerland; Michael Muma, Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany; Martin Vetterli, École Polytechnique Fédérale de Lausanne, Switzerland
SPTM-L6.5: IMPROVED LINEAR LEAST SQUARES ESTIMATION USING BOUNDED DATA UNCERTAINTY
Tarig Ballal, Tareq Y. Al-Naffouri, King Abdullah University of Science and Technology (KAUST), Saudi Arabia
SPTM-L6.6: ROBUST AND COMPUTATIONALLY EFFICIENT DIFFUSION-BASED CLASSIFICATION IN DISTRIBUTED NETWORKS
Patricia Binder, Michael Muma, Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SPTM-L7.1: JOINT COVARIANCE ESTIMATION WITH MUTUAL LINEAR STRUCTURE
Ilya Soloveychik, Ami Wiesel, the Hebrew University of Jerusalem, Israel
SPTM-L7.2: DETECTION AND RECOGNITION OF DEFORMABLE OBJECTS USING STRUCTURED DIMENSIONALITY REDUCTION
Ran Sharon, Rami Hagege, Joseph Francos, Ben-Gurion University of the Negev, Israel
SPTM-L7.3: SUBSPACE LEAKAGE ANALYSIS OF SAMPLE DATA COVARIANCE MATRIX
Mahdi Shaghaghi, University of Alberta, Canada; Sergiy Vorobyov, Aalto University, Finland
SPTM-L7.4: DETERMINING THE NUMBER OF CORRELATED SIGNALS BETWEEN TWO DATA SETS USING PCA-CCA WHEN SAMPLE SUPPORT IS EXTREMELY SMALL
Yang Song, Peter J. Schreier, Nicholas Roseveare, Universität Paderborn, Germany
SPTM-L7.5: AN ALGORITHM FOR THE PARAMETER ESTIMATION OF MULTIPLE SUPERIMPOSED EXPONENTIALS IN NOISE
Shanglin Ye, Elias Aboutanios, University of New South Wales, Australia
SPTM-L7.6: MEASURE-TRANSFORMED QUASI MAXIMUM LIKELIHOOD ESTIMATION WITH APPLICATION TO SOURCE LOCALIZATION
Koby Todros, Ben-Gurion University of the Negev, Israel; Alfred O. Hero III, University of Michigan, United States
SPTM-L8.1: PRECISE ERROR ANALYSIS OF THE LASSO
Christos Thrampoulidis, California Institute of Technology, United States; Ashkan Panahi, Chalmers University of Technology, Sweden; Daniel Guo, Babak Hassibi, California Institute of Technology, United States
SPTM-L8.2: A CONSTRAINED HYBRID CRAMER-RAO BOUND FOR PARAMETER ESTIMATION
Chengfang Ren, Universite Paris-Sud, France; Julien Le Kernec, University of Nottingham-Ningbo, China; Galy Jerome, Universite de Montpellier 2, France; Eric Chaumette, Toulouse-ISAE, France; Pascal Larzabal, Ecole Normale de Cachan, France; Alexandre Renaux, Universite Paris-Sud, France
SPTM-L8.3: CRAMER-RAO-TYPE BOUND FOR STATE ESTIMATION IN LINEAR DISCRETE-TIME SYSTEM WITH UNKNOWN SYSTEM PARAMETERS
Shahar Bar, Joseph Tabrikian, Ben-Gurion University of the Negev, Israel
SPTM-L8.4: PERFORMANCE ESTIMATION FOR TENSOR CP DECOMPOSITION WITH STRUCTURED FACTORS
Maxime Boizard, Rémy Boyer, L2S, Université Paris-Sud, France; Gérard Favier, I3S, Université Nice Sophia Antipolis, France; Jérémy E. Cohen, Pierre Comon, GIPSA-Lab, Université de Grenoble, France
SPTM-L8.5: MARGINAL WEISS-WEINSTEIN BOUNDS FOR DISCRETE-TIME FILTERING
Carsten Fritsche, Emre Özkan, Linköping University, Sweden; Umut Orguner, Middle East Technical University, Turkey; Fredrik Gustafsson, Linköping University, Sweden
SPTM-L8.6: CLOSED-FORM CRAMER-RAO LOWER BOUNDS FOR DOA ESTIMATION FROM TURBO-CODED SQUARE-QAM-MODULATED TRANSMISSIONS
Faouzi Bellili, Chaima Elguet, Souheib Ben Amor, Sofiène Affes, INRS-EMT, Canada; Alex Stéphenne, Huawei Canada, Canada
SPTM-P1.1: DISTRIBUTED PRIMAL STRATEGIES OUTPERFORM PRIMAL-DUAL STRATEGIES OVER ADAPTIVE NETWORKS
Zaid J. Towfic, Ali H. Sayed, University of California, Los Angeles, United States
SPTM-P1.2: STATISTICAL-MECHANICAL ANALYSIS OF THE FXLMS ALGORITHM WITH ACTUAL PRIMARY PATH
Seiji Miyoshi, Yoshinobu Kajikawa, Kansai University, Japan
SPTM-P1.3: FAST IMPLEMENTATION OF A FAMILY OF MEMORY PROPORTIONATE AFFINE PROJECTION ALGORITHM
Feiran Yang, Jun Yang, Institute of Acoustics, Chinese Academy of Sciences, China
SPTM-P1.5: ANALYSIS OF H-SSSI PROCESSES USING THE CROSSING TREE: AN ALTERNATIVE TO WAVELETS
Geoffrey Decrouez, National Research University, Higher School of Economics, Russian Federation; Pierre-Olivier Amblard, Universite de Grenoble, France
SPTM-P1.6: MULTITASK DIFFUSION LMS WITH SPARSITY-BASED REGULARIZATION
Roula Nassif, Cédric Richard, André Ferrari, Université de Nice Sophia-Antipolis, France; Ali H. Sayed, University of California, Los Angeles, France
SPTM-P1.7: MONOTONE OPTIMAL POLICIES IN PORTFOLIO LIQUIDATION PROBLEMS
Daniel Crawford, Vikram Krishnamurthy, The University of British Columbia, Canada
SPTM-P1.8: ADAPTIVE SENSING RESOURCE ALLOCATION OVER MULTIPLE HYPOTHESIS TESTS
Dennis Wei, IBM Research, United States
SPTM-P1.9: MEAN SQUARE ANALYSIS OF THE CLMS AND ACLMS FOR NON-CIRCULAR SIGNALS: THE APPROXIMATE UNCORRELATING TRANSFORM APPROACH
Danilo P. Mandic, Sithan Kanna, Imperial College London, United Kingdom; Scott C. Douglas, Southern Methodist University, United States
SPTM-P1.10: EFFICIENT CONSTRUCTION OF DICTIONARIES FOR KERNEL ADAPTIVE FILTERING IN A DYNAMIC ENVIRONMENT
Taichi Ishida, Toshihisa Tanaka, Tokyo University of Agriculture and Technology, Japan
SPTM-P2.1: A RANDOMIZED DUAL CONSENSUS ADMM METHOD FOR MULTI-AGENT DISTRIBUTED OPTIMIZATION
Tsung-Hui Chang, National Taiwan University of Science and Technology, Taiwan
SPTM-P2.2: A CONSENSUS-BASED DECENTRALIZED ALGORITHM FOR NON-CONVEX OPTIMIZATION WITH APPLICATION TO DICTIONARY LEARNING
Hoi-To Wai, Arizona State University, United States; Tsung-Hui Chang, National Taiwan University of Science and Technology, Taiwan; Anna Scaglione, Arizona State University, United States
SPTM-P2.3: MIST: L0 SPARSE LINEAR REGRESSION WITH MOMENTUM
Goran Markovic, University of New South Wales, Australia; Magnus O. Ulfarsson, University of Iceland, Iceland; Alfred O. Hero III, University of Michigan, United States
SPTM-P2.4: PROBABILITY DENSITY FUNCTION ESTIMATION BY POSITIVE QUARTIC C2-SPLINE FUNCTIONS
Daichi Kitahara, Isao Yamada, Tokyo Institute of Technology, Japan
SPTM-P2.5: A RANDOM BLOCK-COORDINATE PRIMAL-DUAL PROXIMAL ALGORITHM WITH APPLICATION TO 3D MESH DENOISING
Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet, Université Paris-Est/Marne-la-Vallée, France
SPTM-P2.6: CONVERGENCE OF AN INERTIAL PROXIMAL METHOD FOR L1-REGULARIZED LEAST-SQUARES
Patrick Johnstone, Pierre Moulin, University of Illinois at Urbana-Champaign, United States
SPTM-P2.7: BI-ALTERNATING DIRECTION METHOD OF MULTIPLIERS OVER GRAPHS
Guoqiang Zhang, Richard Heusdens, Delft University of Technology, Netherlands
SPTM-P2.8: PHASE TRANSITION OF JOINT-SPARSE RECOVERY FROM MULTIPLE MEASUREMENTS VIA CONVEX OPTIMIZATION
Shih-Wei Hu, Gang-Xuan Lin, Sung-Hsien Hsieh, Chun-Shien Lu, Academia Sinica, Taiwan
SPTM-P2.9: LOCALIZATION OF A MOVING NON-COOPERATIVE RF TARGET IN NLOS ENVIRONMENT USING RSS AND AOA MEASUREMENTS
Chi Cheng, Wuhua Hu, Wee Peng Tay, Nanyang Technological University, Singapore
SPTM-P2.10: AVERAGING RANDOM PROJECTION: A FAST ONLINE SOLUTION FOR LARGE-SCALE CONSTRAINED STOCHASTIC OPTIMIZATION
Jialin Liu, Yuantao Gu, Tsinghua University, China; Mengdi Wang, Princeton University, United States
SPTM-P2.11: DISTRIBUTED BLACK-BOX OPTIMIZATION OF NONCONVEX FUNCTIONS
Sergio Valcarcel Macua, Santiago Zazo, Javier Zazo, Universidad Politécnica de Madrid, Spain
SPTM-P2.12: LOCAL AND GLOBAL OPTIMALITY OF LP MINIMIZATION FOR SPARSE RECOVERY
Laming Chen, Yuantao Gu, Tsinghua University, China
SPTM-P3.3: REGULARIZED CANONICAL CORRELATIONS FOR SENSOR DATA CLUSTERING
Jia Chen, Ioannis Schizas, The University of Texas at Arlington, United States
SPTM-P3.6: CONSISTENCY OF ℓ1-REGULARIZED MAXIMUM-LIKELIHOOD FOR COMPRESSIVE POISSON REGRESSION
Yen-Huan Li, Volkan Cevher, École Polytechnique Fédérale de Lausanne, Switzerland
SPTM-P4.1: MULTICHANNEL WIENER FILTERING VIA MULTICHANNEL DECORRELATION
Philipp Thüne, Gerald Enzner, Ruhr-Universität Bochum, Germany
SPTM-P4.2: ADAPTIVE SIGNAL AND SYSTEM APPROXIMATION AND STRONG DIVERGENCE
Holger Boche, Technische Universität München, Germany; Ullrich Mönich, Massachusetts Institute of Technology, United States
SPTM-P4.3: SPARSE PARTIAL DERIVATIVES AND RECONSTRUCTION FROM PARTIAL FOURIER DATA
Elham Sakhaee, Alireza Entezari, University of Florida, United States
SPTM-P4.4: LOWPASS/BANDPASS SIGNAL RECONSTRUCTION AND DIGITAL FILTERING FROM NONUNIFORM SAMPLES
David Bonacci, Bernard Lacaze, TESA Telecommunications for Space and Aeronautics, France
SPTM-P4.5: ON THE DESIGN OF THE MEASUREMENT MATRIX FOR COMPRESSED SENSING BASED DOA ESTIMATION
Mohamed Gamal Ibrahim, Florian Roemer, Giovanni Del Galdo, Technische Universität Ilmenau, Germany
SPTM-P4.6: SAMPLING SMOOTH SPATIO-TEMPORAL PHYSICAL FIELDS: WHEN WILL THE ALIASING ERROR INCREASE WITH TIME?
Karthik Sharma, Animesh Kumar, Indian Institute of Technology Bombay, India
SPTM-P4.7: DETERMINISTIC CONSTRUCTIONS OF BINARY MEASUREMENT MATRICES WITH VARIOUS SIZES
Xin-Ji Liu, Shu-Tao Xia, Tao Dai, Tsinghua University, China
SPTM-P4.8: ACHIEVING HIGH RESOLUTION FOR SUPER-RESOLUTION VIA REWEIGHTED ATOMIC NORM MINIMIZATION
Zai Yang, Lihua Xie, Nanyang Technological University, Singapore
SPTM-P4.9: AVERAGE RECOVERY PERFORMANCES OF NON-PERFECTLY INFORMED COMPRESSED SENSING: WITH APPLICATIONS TO MULTICLASS ENCRYPTION
Valerio Cambareri, DEI - University of Bologna, Italy; Mauro Mangia, ARCES - University of Bologna, Italy; Fabio Pareschi, ENDIF - University of Ferrara, Italy; Riccardo Rovatti, DEI - University of Bologna, Italy; Gianluca Setti, ENDIF - University of Ferrara, Italy
SPTM-P4.10: SPHERICAL HARMONIC TRANSFORM FOR MINIMUM DIMENSIONALITY REGULAR GRID SAMPLING ON THE SPHERE
Zubair Khalid, Rodney Kennedy, The Australian National University, Australia
SPTM-P4.11: PHASE RECOVERY FROM A BAYESIAN POINT OF VIEW: THE VARIATIONAL APPROACH
Angelique Dremeau, Florent Krzakala, ENS, France
SPTM-P5.1: MULTIDIMENSIONAL RAMANUJAN-SUM EXPANSIONS ON NONSEPARABLE LATTICES
Palghat Vaidyanathan, California Institute of Technology, United States
SPTM-P5.2: DEMIXING MULTIVARIATE-OPERATOR SELF-SIMILAR PROCESSES
Gustavo Didier, Tulane University, United States; Hannes Helgason, University of Iceland, Iceland; Patrice Abry, CNRS, ENS Lyon, France
SPTM-P5.3: MAXIMUM ENTROPY PROPERTY OF DISCRETE-TIME STABLE SPLINE KERNEL
Tohid Ardeshiri, Tianshi Chen, Linköping University, Sweden
SPTM-P5.4: DISTRIBUTED TOPOLOGY IDENTIFICATION FOR POINT PROCESS DYNAMIC NETWORKS
Syed Ahmed Pasha, Air University, Pakistan; Victor Solo, University of New South Wales, Australia
SPTM-P5.5: ESTIMATION OF RAPIDLY VARYING SEA CLUTTER USING NEAREST KRONECKER PRODUCT APPROXIMATION
Samuel Ebenezer, Antonia Papandreou-Suppappola, Arizona State University, United States
SPTM-P5.6: NONUNIFORMLY SAMPLED TRIVARIATE EMPIRICAL MODE DECOMPOSITION
Apit Hemakom, Alireza Ahrabian, David Looney, Imperial College London, United Kingdom; Naveed Rehman, Comsats Institute of Information Technology, Pakistan; Danilo P. Mandic, Imperial College London, United Kingdom
SPTM-P5.7: SPARSE AND CROSS-TERM FREE TIME-FREQUENCY DISTRIBUTION BASED ON HERMITE FUNCTIONS
Branka Jokanovic, Moeness G. Amin, Villanova University, United States
SPTM-P5.8: EFFICIENT FILTERING AND SAMPLING FOR A CLASS OF TIME-VARYING LINEAR SYSTEMS
James Murphy, Simon Godsill, University of Cambridge, United Kingdom
SPTM-P5.9: MODEL-BASED PARAMETERS ESTIMATION OF NON-STATIONARY SIGNALS USING TIME WARPING AND A MEASURE OF SPECTRAL CONCENTRATION
Andrei Anghel, Grenoble INP/UPB, Romania; Gabriel Vasile, GIPSA-Lab CNRS, France; Cornel Ioana, GIPSA-lab/Grenoble INP, France; Remus Cacoveanu, Silviu Ciochina, UPB, Romania
SPTM-P5.10: A NEW ALPHA AND GAMMA BASED MIXTURE APPROXIMATION FOR HEAVY-TAILED RAYLEIGH DISTRIBUTION
Mohammadreza Hassannejad Bibalan, Hamidreza Amindavar, Amirkabir University of Technology, Iran
SPTM-P5.11: SECURITY INFORMATION FACTOR BASED LOW PROBABILITY OF IDENTIFICATION IN DISTRIBUTED MULTIPLE-RADAR SYSTEM
Chenguang Shi, Fei Wang, Jianjiang Zhou, Huan Zhang, Nanjing University of Aeronautics and Astronautics, China
SPTM-P5.12: INVERSE REINFORCEMENT LEARNING USING EXPECTATION MAXIMIZATION IN MIXTURE MODELS
Jürgen Hahn, Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SPTM-P6.3: PLANTED CLIQUE DETECTION BELOW THE NOISE FLOOR USING LOW-RANK SPARSE PCA
Alexis Cook, Brown University, United States; Benjamin Miller, Massachusetts Institute of Technology, United States
SPTM-P6.4: DISTRIBUTED ALGORITHM FOR GRAPH SIGNAL INPAINTING
Siheng Chen, Carnegie Mellon University, United States; Aliaksei Sandryhaila, HP Vertica, United States; Jelena Kovacevic, Carnegie Mellon University, United States
SPTM-P6.5: LAPLACIAN MATRIX LEARNING FOR SMOOTH GRAPH SIGNAL REPRESENTATION
Xiaowen Dong, Massachusetts Institute of Technology, United States; Dorina Thanou, Pascal Frossard, Pierre Vandergheynst, École Polytechnique Fédérale de Lausanne, Switzerland
SPTM-P7.1: QUANTIZED MATRIX COMPLETION FOR LOW RANK MATRICES
Sonia Bhaskar, Stanford University, United States
SPTM-P7.2: TRANSIENT INTERFERENCE SUPPRESSION VIA STRUCTURED LOW-RANK MATRIX DECOMPOSITION
Mao Li, Zishu He, University of Electronic Science and Technology of China, China
SPTM-P7.3: WEIGHTED COVARIANCE MATCHING BASED SQUARE ROOT LASSO
Arash Owrang, Magnus Jansson, KTH Royal Institute of Technology, Sweden
SPTM-P7.4: GENERALIZED APPROXIMATE MESSAGE PASSING FOR COSPARSE ANALYSIS COMPRESSIVE SENSING
Mark Borgerding, Philip Schniter, Jeremy Vila, The Ohio State University, United States; Sundeep Rangan, Polytechnic Institute of New York University, United States
SPTM-P7.5: SPARSE SIGNAL RECOVERY IN THE PRESENCE OF COLORED NOISE AND RANK-DEFICIENT NOISE COVARIANCE MATRIX: AN SBL APPROACH
Vinuthna Vinjamuri, Ranjitha Prasad, Chandra Murthy, Indian Institute of Science, India
SPTM-P7.6: MODIFIED DISTRIBUTED ITERATIVE HARD THRESHOLDING
Puxiao Han, Ruixin Niu, Virginia Commonwealth University, United States; Yonina C. Eldar, Technion - Israel Institute of Technology, Israel
SPTM-P7.7: ANALYSIS OF TARGET DETECTION VIA MATRIX COMPLETION
Sunav Choudhary, Urbashi Mitra, University of Southern California, United States
SPTM-P7.8: ALGORITHMS AND PERFORMANCE ANALYSIS FOR ESTIMATION OF LOW- RANK MATRICES WITH KRONECKER STRUCTURED SINGULAR VECTORS
Raj Tejas Suryaprakash, Brian Moore, Raj Rao Nadakuditi, University of Michigan, United States
SPTM-P7.9: SPARSE NULL SPACE BASIS PURSUIT AND ANALYSIS DICTIONARY LEARNING FOR HIGH-DIMENSIONAL DATA ANALYSIS
Xiao Bian, Hamid Krim, North Carolina State University, United States; Alex Bronstein, Tel-Aviv University, Israel; Liyi Dai, U.S. Army Research Office, United States
SPTM-P7.10: SUPPORT KNOWLEDGE-AIDED SPARSE BAYESIAN LEARNING FOR COMPRESSED SENSING
Jun Fang, UESTC, China; Yanning Shen, University of Minnesota, United States; Fuwei Li, UESCT, China; Hongbin Li, Stevens Institute of Technology, United States; Zhi Chen, UESTC, China
SPTM-P7.11: A CORRECTNESS RESULT FOR ONLINE ROBUST PCA
Brian Lois, Namrata Vaswani, Iowa State University, United States
SPTM-P8.1: RAPID: RAPIDLY ACCELERATED PROXIMAL GRADIENT ALGORITHMS FOR CONVEX MINIMIZATION
Ziming Zhang, Venkatesh Saligrama, Boston University, United States
SPTM-P8.2: ON THE FLY ESTIMATION OF THE SPARSITY DEGREE IN COMPRESSED SENSING USING SPARSE SENSING MATRICES
Valerio Bioglio, Tiziano Bianchi, Enrico Magli, Politecnico di Torino, Italy
SPTM-P8.4: DOWNSAMPLING FOR SPARSE SUBSPACE CLUSTERING
Xianghui Mao, Xiaohan Wang, Yuantao Gu, Department of Electronic Engineering, Tsinghua University, Beijing, China
SPTM-P8.5: HIERARCHICAL SPARSE AND COLLABORATIVE LOW-RANK REPRESENTATION FOR EMOTION RECOGNITION
Xiang Xiang, Minh Dao, Gregory Hager, Trac Tran, Johns Hopkins University, United States
SPTM-P8.6: GREEDY MINIMIZATION OF L1-NORM WITH HIGH EMPIRICAL SUCCESS
Martin Sundin, Saikat Chatterjee, Magnus Jansson, Royal Institute of Technology KTH, Sweden
SPTM-P8.7: MODEL-DISTRIBUTED SOLUTION OF REGULARIZED LEAST-SQUARES PROBLEM OVER SENSOR NETWORKS
Reza Arablouei, Kutluyil Dogançay, University of South Australia, Australia; Stefan Werner, Aalto University, Finland; Yih-Fang Huang, University of Notre Dame, United States
SPTM-P8.8: UNVEILING THE TREE: A CONVEX FRAMEWORK FOR SPARSE PROBLEMS
Tarek Lahlou, Alan Oppenheim, Massachusetts Institute of Technology, United States
SPTM-P8.9: STRUCTURED BAYESIAN COMPRESSIVE SENSING EXPLOITING SPATIAL LOCATION DEPENDENCE
Qisong Wu, Yimin D. Zhang, Moeness G. Amin, Villanova University, United States; Braham Himed, Air Force Research Laboratory, United States
SPTM-P8.10: CONVERGENCE ANALYSIS OF ALTERNATING DIRECTION METHOD OF MULTIPLIERS FOR A FAMILY OF NONCONVEX PROBLEMS
Mingyi Hong, Iowa State University, United States; Zhi-Quan Luo, University of Minnesota, United States; Meisam Razaviyayn, Stanford University, United States
SPTM-P8.11: FAST AND ROBUST EM-BASED IRLS ALGORITHM FOR SPARSE SIGNAL RECOVERY FROM NOISY MEASUREMENTS
Chiara Ravazzi, Enrico Magli, Politecnico di Torino, Italy
SPTM-P8.12: AUDIO SYNCHRONISATION WITH A TUNNEL MATRIX FOR TIME SERIES AND DYNAMIC PROGRAMMING
Jan Gorisch, Laurent Prévot, Aix Marseille Université & CNRS, France
SPTM-P9.1: RAMANUJAN FILTER BANKS FOR ESTIMATION AND TRACKING OF PERIODICITIES
Srikanth Venkata Tenneti, Palghat Vaidyanathan, California Institute of Technology, United States
SPTM-P9.2: DESIGN OF SIGNAL-MATCHED CRITICALLY SAMPLED FIR RATIONAL FILTERBANK
Anupriya Gogna, Sri Harsha Gade, Anubha Gupta, Indraprastha Institute of Information Technology-Delhi, India
SPTM-P9.3: COPRIME DFT FILTER BANK DESIGN: THEORETICAL BOUNDS AND GUARANTEES
Chun-Lin Liu, Palghat Vaidyanathan, California Institute of Technology, United States
SPTM-P9.4: OPTIMAL ERROR FEEDBACK FILTERS FOR UNIFORM QUANTIZERS AT REMOTE SENSORS
Shuichi Ohno, Hiroshima University, Japan; Yuji Wakasa, Yamaguchi University, Japan; Makoto Nagata, Hiroshima University, Japan
SPTM-P9.5: A VIRTUAL RESAMPLING TECHNIQUE FOR ALGEBRAIC TWO-DIMENSIONAL PHASE UNWRAPPING
Daichi Kitahara, Masao Yamagishi, Isao Yamada, Tokyo Institute of Technology, Japan
SPTM-P9.8: A SEQUENTIAL DICTIONARY LEARNING ALGORITHM WITH ENFORCED SPARSITY
Abd-Krim Seghouane, University of Melbourne, Australia; Muhammad Hanif, The Australian National University, Australia
SPTM-P9.12: A TWO CHANNEL APPROACH FOR SYSTEM APPROXIMATION WITH GENERAL MEASUREMENT FUNCTIONALS
Ullrich Mönich, Massachusetts Institute of Technology, United States; Holger Boche, Technische Universität München, Germany
SPTM-P10.1: A BAYESIAN APPROACH FOR THE JOINT ESTIMATION OF THE MULTIFRACTALITY PARAMETER AND INTEGRAL SCALE BASED ON THE WHITTLE APPROXIMATION
Sébastien Combrexelle, Herwig Wendt, University of Toulouse, France; Patrice Abry, Ecole Normale Supérieure de Lyon, France; Nicolas Dobigeon, University of Toulouse, France; Stephen McLaughlin, Heriot-Watt University, United Kingdom; Jean-Yves Tourneret, University of Toulouse, France
SPTM-P10.11: DETECTING HIDDEN CLIQUES FROM NOISY OBSERVATIONS
Yang Liu, Mingyan Liu, University of Michigan, Ann Arbor, United States
SPTM-P11.1: ROBUST STATISTICAL PROCESS CONTROL IN BLOCK-RDT FRAMEWORK
Dominique Pastor, Quang-Thang Nguyen, Institut MINES-TELECOM; TELECOM Bretagne, France
SPTM-P11.2: QUICKEST DETECTION OF SHORT-TERM VOLTAGE INSTABILITY WITH PMU MEASUREMENTS
Sattar Vakili, Qing Zhao, University of California, Davis, United States; Lang Tong, Cornell University, United States
SPTM-P11.3: DISTRIBUTED ROBUST CHANGE POINT DETECTION FOR AUTOREGRESSIVE PROCESSES WITH AN APPLICATION TO DISTRIBUTED VOICE ACTIVITY DETECTION
Daniel Kalus, Michael Muma, Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SPTM-P11.4: A BERNOULLI FILTER APPROACH TO DETECTION AND ESTIMATION OF HIDDEN MARKOV MODELS USING CLUTTERED OBSERVATION SEQUENCES
Karl Granström, Peter Willett, Yaakov Bar-Shalom, University of Connecticut, United States
SPTM-P11.5: AN ADAPTIVE LOW-COMPLEXITY DETECTION METHOD FOR STATISTICAL SIGNAL TRANSMISSION UNDER TIME-VARYING CHANNELS
Tianheng Xu, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), China; Sha Yao, Shanghai Research Center for Wireless Communications (WiCO), China; Honglin Hu, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), China
SPTM-P11.6: TRANSMIT CODE DESIGN FOR EXTENDED TARGET DETECTION IN THE PRESENCE OF CLUTTER
Seyyed Mohammad Karbasi, Sharif University of Technology, Iran; Mohammad Mahdi Naghsh, Isfahan University of Technology, Iran; Mohammad Hasan Bastani, Sharif University of Technology, Iran
SPTM-P11.7: WIDEBAND WAVEFORM DESIGN FOR ROBUST TARGET DETECTION
Ashkan Panahi, Marie Ström, Mats Viberg, Chalmers University of Technology, Sweden
SPTM-P11.8: PERSISTENT TOPOLOGY OF DECISION BOUNDARIES
Kush Varshney, Karthikeyan Natesan Ramamurthy, IBM T.J. Watson Research Center, United States
SPTM-P11.9: EFFICIENT AND ACCURATE MULTIVARIATE CLASS CONDITIONAL DENSITIES USING COPULA
Alireza Bayestehtashk, Center for Spoken Language Understanding Oregon Health & Science University, United States; Izhak Shafran, Google Inc., United States
SPTM-P11.10: SEQUENTIAL ENERGY DETECTION FOR TOUCH INPUT DETECTION
Youngchun Kim, Ahmed H. Tewfik, The University of Texas at Austin, United States; Nikhil Kundargi, National Instruments, United States
SPTM-P11.11: HOW TO MONITOR AND MITIGATE STAIR-CASING IN L1 TREND FILTERING
Cristian R. Rojas, Bo Wahlberg, KTH Royal Institute of Technology, Sweden
SPTM-P11.12: A CFAR ALGORITHM BASED ON SUMMATIONS PROCESSING
An Phan, Sandun Kodituwakku, Tri-Tan Van Cao, Defence Science and Technology Organisation, Australia
SPTM-P12.1: A QUATERNION FREQUENCY ESTIMATOR FOR THREE-PHASE POWER SYSTEMS
Sayed Pouria Talebi, Danilo P. Mandic, Imperial College London, United Kingdom
SPTM-P12.3: AN ITERATIVE DEFLATION ALGORITHM FOR EXACT CP TENSOR DECOMPOSITION
Alex P. da Silva, Pierre Comon, GIPSA-Lab, France; André L. F. de Almeida, Federal University of Ceará, Brazil
SPTM-P12.4: VARIATIONAL EM FOR CLUSTERING INTERAURAL PHASE CUES IN MESSL FOR BLIND SOURCE SEPARATION OF SPEECH
Zeinab Zohny, Syed Mohsen Naqvi, Jonathon A. Chambers, University of Loughborough, United Kingdom
SPTM-P12.5: INVESTIGATING BIAS IN NON-PARAMETRIC MUTUAL INFORMATION ESTIMATION
Jie Zhu, Jean-Jacques Bellanger, Université de Rennes 1, F-35000, France, France; Huazhong Shu, Southeast University, China; Regine Le Bouquin Jeannes, Université de Rennes 1, F-35000, France, France
SPTM-P12.6: PARAMETER ESTIMATION FOR MULTIPLE SCATTERING PROCESS ON THE SPHERE
Florent Chatelain, GIPSA-Lab, France; Nicolas Le Bihan, CNRS, Australia; Jonathan H. Manton, University of Melbourne, Australia
SPTM-P12.7: RANGING WITHOUT TIME STAMPS EXCHANGING
Mohammad Reza Gholami, Satyam Dwivedi, Magnus Jansson, Peter Händel, KTH Royal Institute of Technology, Sweden
SPTM-P12.8: ON THE CRAMER-RAO LOWER BOUND UNDER MODEL MISMATCH
Carsten Fritsche, Linköping University, Sweden; Umut Orguner, Middle East Technical University, Turkey; Emre Özkan, Fredrik Gustafsson, Linköping University, Sweden
SPTM-P12.9: MULTI-PARAMETER ESTIMATION FOR COGNITIVE RADAR IN COMPOUND GAUSSIAN CLUTTER
Anish Turlapaty, Yuanwei Jin, University of Maryland, Eastern Shore, United States
SPTM-P12.10: LOCATION ROBUST ESTIMATION OF PREDICTIVE WEIBULL PARAMETERS IN SHORT-TERM WIND SPEED FORECASTING
Matthew J. Holland, Kazushi Ikeda, Nara Institute of Science and Technology, Japan
SPTM-P12.11: OCEAN ACOUSTIC WAVEGUIDE INVARIANT PARAMETER ESTIMATION USING TONAL NOISE SOURCES
Andrew Harms, Jonathan Odom, Jeffrey Krolik, Duke University, United States
SPTM-P12.12: A PROOF OF HIRSCHMAN UNCERTAINTY INVARIANCE TO THE ORDER OF RÉNYI ENTROPY FOR PICKET FENCE SIGNALS, AND ITS RELEVANCE IN A SIMPLISTIC RECOGNITION EXPERIMENT
Kirandeep Ghuman, Victor DeBrunner, Florida State University, United States
SPTM-P13.1: DISTRIBUTED SPATIO-TEMPORAL MULTI-TARGET ASSOCIATION AND TRACKING
Guohua Ren, Ioannis Schizas, The University of Texas at Arlington, United States; Vasileios Maroulas, University of Tennessee at Knoxville, United States
SPTM-P13.2: PLANE SWEEP METHOD FOR OPTIMAL LINE FITTING IN TRACK-BEFORE-DETECT
Yanmei Guo, Langford White, University of Adelaide, Australia
SPTM-P13.3: A HYBRID GMM/SMC DIFFUSION BERNOULLI FILTER FOR JOINT DISTRIBUTED DETECTION AND TRACKING
Stiven Dias, Embraer S.A., Brazil; Marcelo Bruno, Instituto Tecnológico de Aeronáutica, Brazil
SPTM-P13.4: ON OPTIMAL MOBILE RSSI-SENSOR POSITIONING FOR MULTI TARGET TRACKING
Jonathan Beaudeau, Monica Bugallo, Petar Djuric, Stony Brook University, United States
SPTM-P13.5: SENSOR SELECTION WITH CORRELATED MEASUREMENTS FOR TARGET TRACKING IN WIRELESS SENSOR NETWORKS
Sijia Liu, Syracuse University, United States; Engin Masazade, Yeditepe University, Turkey; Makan Fardad, Pramod K. Varshney, Syracuse University, United States
SPTM-P13.6: DISTRIBUTED TARGET TRACKING UNDER COMMUNICATION CONSTRAINTS
Muhammad Raza, Mark Morelande, Robin Evans, University of Melbourne, Australia
SPTM-P13.7: DISTRIBUTED KALMAN FILTERING WITH QUANTIZED SENSING STATE
Di Li, Texas A&M University, United States; Soummya Kar, Carnegie Mellon University, United States; Shuguang Cui, Texas A&M University, United States
SPTM-P13.8: DICTIONARY-BASED ONLINE KERNEL PRINCIPAL SUBSPACE ANALYSIS WITH DOUBLE ORTHOGONALITY PRESERVATION
Toshihisa Tanaka, Tokyo University of Agriculture and Technology, Japan
SPTM-P13.9: CONSTRAINED STATE ESTIMATION IN PARTICLE FILTERS
Bradley Ebinger, Nidhal Bouaynaya, Rowan University, United States; Roman Shterenberg, University of Alabama at Birmingham, United States; Robi Polikar, Rowan University, United States
SPTM-P13.10: GENERAL SOLUTION AND APPROXIMATE IMPLEMENTATION OF THE MULTISENSOR MULTITARGET CPHD FILTER
Santosh Nannuru, Mark Coates, Michael Rabbat, McGill University, Canada; Stephane Blouin, DRDC, Canada
SPTM-P13.11: HISTOGRAM-PMHT WITH AN EVOLVING POISSON PRIOR
Han X. Vu, University of Adelaide, Australia; Samuel J. Davey, Sanjeev Arulampalam, Fiona K. Fletcher, Defence Science and Technology Organisation, Australia; Cheng-Chew Lim, University of Adelaide, Australia
SPTM-P13.12: A ROBUST ONLINE SUBSPACE ESTIMATION AND TRACKING ALGORITHM
Hassan Mansour, Mitsubishi Electric Research Laboratories (MERL), United States; Xin Jiang, Duke University, United States
SPTM-P14.1: SMELLY PARALLEL MCMC CHAINS
Luca Martino, University of Helsinki, Finland; Víctor Elvira, Universidad Carlos III de Madrid, Spain; David Luengo, Universidad Politécnica de Madrid, Spain; Antonio Artés-Rodríguez, Universidad Carlos III de Madrid, Spain; Jukka Corander, University of Helsinki, Finland
SPTM-P14.2: A GRADIENT ADAPTIVE POPULATION IMPORTANCE SAMPLER
Víctor Elvira, Universidad Carlos III de Madrid, Spain; Luca Martino, University of Helsinki, Spain; David Luengo, Universidad Politécnica de Madrid, Spain; Jukka Corander, University of Helsinki, Spain
SPTM-P14.3: POTTS MODEL PARAMETER ESTIMATION IN BAYESIAN SEGMENTATION OF PIECEWISE CONSTANT IMAGES
Roxana-Gabriela Rosu, Jean-François Giovannelli, Audrey Giremus, Cornelia Vacar, Univ. Bordeaux, IMS, UMR 5218, F-33400 Talence, France, France
SPTM-P14.4: GRADIENT SCAN GIBBS SAMPLER : AN EFFICIENT HIGH-DIMENSIONAL SAMPLER APPLICATION IN INVERSE PROBLEMS
François Orieux, Univ. Paris-Sud 11, France; Olivier Féron, EDF, France; Jean-François Giovannelli, Univ. Bordeaux, France
SPTM-P14.5: BAYESIAN PATH ESTIMATION USING THE SPATIAL ATTRIBUTES OF A ROAD NETWORK
Mark Morelande, Matt Duckham, Allison Kealy, University of Melbourne, Australia; Jonathan Legg, Defence Science and Technology Organisation, Australia
SPTM-P14.6: COGNITIVE BIASES IN BAYESIAN UPDATING AND OPTIMAL INFORMATION SEQUENCING
Sara Mourad, Ahmed H. Tewfik, The University of Texas at Austin, United States
SPTM-P14.7: EFFICIENT LINEAR COMBINATION OF PARTIAL MONTE CARLO ESTIMATORS
David Luengo, Universidad Politécnica de Madrid, Spain; Luca Martino, University of Helsinki, Finland; Víctor Elvira, Universidad Carlos III de Madrid, Spain; Monica Bugallo, Stony Brook University, United States
SPTM-P14.8: PARTICLE FILTERING OF ARMA PROCESSES OF UNKNOWN ORDER AND PARAMETERS
Iñigo Urteaga, Petar Djuric, Stony Brook University, United States
SPTM-P14.9: MULTIPLE PARTICLE FILTERING WITH IMPROVED EFFICIENCY AND PERFORMANCE
Petar Djuric, Monica Bugallo, Stony Brook University, United States
SPTM-P14.10: PARTICLE GIBBS WITH REFRESHED BACKWARD SIMULATION
Pete Bunch, Fredrik Lindsten, Sumeetpal Singh, University of Cambridge, United Kingdom
SPTM-P14.11: EFFICIENT UPDATE OF PERSISTENT PARTICLES IN THE SMC-PHD FILTER
Branko Ristic, Defence Science and Technology Organisation, Australia
SPTM-P14.12: BAYESIAN PARAMETER ESTIMATION OF JUMP-LANGEVIN SYSTEMS FOR TREND FOLLOWING IN FINANCE
James Murphy, Simon Godsill, University of Cambridge, United Kingdom
SPTM-P15.1: CRITICALLY SAMPLED GRAPH WAVELETS CONVERTED FROM LINEAR-PHASE BIORTHOGONAL WAVELETS
Akie Sakiyama, Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan
SPTM-P15.2: METRICS IN THE SPACE OF HIGH ORDER PROXIMITY NETWORKS
Weiyu Huang, Alejandro Ribeiro, University of Pennsylvania, United States
SPTM-P15.3: PHASE RECOVERY FOR TIME OF ARRIVAL ESTIMATION IN THE PRESENCE OF INTERFERENCE
Kevin Nguyen, The University of Sydney, Australia; David Humphrey, Mark Hedley, Commonwealth Scientific and Industrial Research Organisation, Australia; Philip Leong, The University of Sydney, Australia
SPTM-P15.4: BLIND SIGNAL SEPARATION OF RATIONAL FUNCTIONS USING LÖWNER-BASED TENSORIZATION
Otto Debals, Marc Van Barel, KU Leuven, Belgium; Lieven De Lathauwer, KU Leuven Kulak, Belgium
SPTM-P15.5: ON FINDING A SUBSET OF NON-DEFECTIVE ITEMS FROM A LARGE POPULATION USING GROUP TESTS: RECOVERY ALGORITHMS AND BOUNDS
Abhay Sharma, Chandra Murthy, Indian Institute of Science, India
SPTM-P15.6: SUPER–RESOLUTION IN PHASE SPACE
Ayush Bhandari, Massachusetts Institute of Technology, United States; Yonina C. Eldar, Technion - Israel Institute of Technology, Israel; Ramesh Raskar, Massachusetts Institute of Technology, United States
SPTM-P15.7: MAXIMAL MULTIPLICATIVE SPATIAL-SPECTRAL CONCENTRATION ON THE SPHERE: OPTIMAL BASIS
Zubair Khalid, Rodney Kennedy, The Australian National University, Australia
SPTM-P15.8: EFFICIENT MODEL CHOICE AND PARAMETER ESTIMATION BY USING NESTED SAMPLING APPLIED IN EDDY-CURRENT TESTING
Caifang Cai, L'Ecole supérieure d'électricité (SUPELEC), France; Thomas Rodet, L'Ecole normale supérieure de Cachan (ENS-Cachan), France; Marc Lambert, CNRS, France
SPTM-P15.9: TIME-VARYING VECTOR POISSON PROCESSES WITH COINCIDENCES
Victor Solo, Boris Godoy, University of New South Wales, Australia
SPTM-P15.10: TIKHONOV-GALERKIN STOCHASTIC SYSTEM IDENTIFICATION IN SO(3)
Marc Piggott, Victor Solo, University of New South Wales, Australia
SP-L1.1: NORMALIZATION OF TOTAL VARIABILITY MATRIX FOR I-VECTOR/PLDA SPEAKER VERIFICATION
Wei Rao, Man-Wai Mak, The Hong Kong Polytechnic University, Hong Kong SAR of China; Kong-Aik Lee, Institute for Infocomm Research,A*STAR, Singapore
SP-L1.2: SOURCE-SPECIFIC INFORMATIVE PRIOR FOR I-VECTOR EXTRACTION
Sven Shepstone, Bang and Olufsen A/S, Denmark; Kong-Aik Lee, Haizhou Li, Institute for Infocomm Research, Singapore; Zheng-Hua Tan, Søren Holdt Jensen, Aalborg University, Denmark
SP-L1.3: ADDITIVE NOISE COMPENSATION IN THE I-VECTOR SPACE FOR SPEAKER RECOGNITION
Waad Ben Kheder, Driss Matrouf, Jean-François Bonastre, Moez Ajili, Pierre-Michel Bousquet, Laboratoire Informatique d'Avignon (LIA), France
SP-L1.4: A NEW STUDY OF GMM-SVM SYSTEM FOR TEXT-DEPENDENT SPEAKER RECOGNITION
Hanwu Sun, Kong-Aik Lee, Bin Ma, Institute for Infocomm Research, Singapore
SP-L1.5: IMPROVED LANGUAGE IDENTIFICATION USING DEEP BOTTLENECK NETWORK
Yan Song, Ruilian Cui, Xinhai Hong, Ian McLoughlin, National Engineering Laboratory of Speech and Language Information Processing, University of Science and Technology of China, China; Jiong Shi, Anhui Post and Telecommunication College, China; Li-Rong Dai, National Engineering Laboratory of Speech and Language Information Processing, University of Science and Technology of China, China
SP-L1.6: NEAREST NEIGHBOR DISCRIMINANT ANALYSIS FOR LANGUAGE RECOGNITION
Seyed Omid Sadjadi, Jason Pelecanos, Sriram Ganapathy, IBM Research, United States
SP-L2.1: PARAMETER GENERATION ALGORITHM CONSIDERING MODULATION SPECTRUM FOR HMM-BASED SPEECH SYNTHESIS
Shinnosuke Takamichi, Tomoki Toda, Nara Institute of Science and Technology, Japan; Alan W. Black, Carnegie Mellon University, United States; Satoshi Nakamura, Nara Institute of Science and Technology, Japan
SP-L2.2: DIRECTLY MODELING SPEECH WAVEFORMS BY NEURAL NETWORKS FOR STATISTICAL PARAMETRIC SPEECH SYNTHESIS
Keiichi Tokuda, Heiga Zen, Google Inc., United Kingdom
SP-L2.3: ATTRIBUTING MODELLING ERRORS IN HMM SYNTHESIS BY STEPPING GRADUALLY FROM NATURAL TO MODELLED SPEECH
Thomas Merritt, University of Edinburgh, United Kingdom; Javier Latorre, Toshiba Research Europe Ltd, United Kingdom; Simon King, University of Edinburgh, United Kingdom
SP-L2.4: GRAPHEME-TO-PHONEME CONVERSION USING LONG SHORT-TERM MEMORY RECURRENT NEURAL NETWORKS
Kanishka Rao, Fuchun Peng, Hasim Sak, Françoise Beaufays, Google Inc., United States
SP-L2.5: VOCAINE THE VOCODER AND APPLICATIONS IN SPEECH SYNTHESIS
Yannis Agiomyrgiannakis, Google Inc., United Kingdom
SP-L2.6: SPARSE REPRESENTATION FOR FREQUENCY WARPING BASED VOICE CONVERSION
Xiaohai Tian, Nanyang Technological University, Singapore; Zhizheng Wu, University of Edinburgh, United Kingdom; Siu Wa Lee, Institute for Infocomm Research, Singapore; Nguyen Quy Hy, Eng Siong Chng, Nanyang Technological University, Singapore; Minghui Dong, Institute for Infocomm Research, Singapore
SP-L3.1: INFLUENCE OF TIME-VARYING PITCH ON TIMBRE: "COHERENCE AND INCOHERENCE" BASED ON SPECTRAL CENTROID
Arthi S, Sreenivas T. V., Indian Institute of Science, India
SP-L3.2: EVALUATION OF SPEECH INVERSE FILTERING TECHNIQUES USING A PHYSIOLOGICALLY BASED SYNTHESIZER
Jon Gudnason, Reykjavik University, Iceland; Daryush Mehta, Massachusetts General Hospital, United States; Thomas Quatieri, Massachusetts Institute of Technology Lincoln Laboratory, United States
SP-L3.3: JOINT OPTIMIZATION OF ANATOMICAL AND GESTURAL PARAMETERS IN A PHYSICAL VOCAL TRACT MODEL
Christopher Liberatore, Ricardo Gutierrez-Osuna, Texas A&M University, United States
SP-L3.4: ANALYSIS AND AUTOMATIC RECOGNITION OF HUMAN BEATBOX SOUNDS: A COMPARATIVE STUDY
Benjamin Picart, Faculté Polytechnique (FPMs), University of Mons (UMONS), Belgium; Sandrine Brognaux, Université catholique de Louvain (UCL), Belgium; Stéphane Dupont, Faculté Polytechnique (FPMs), University of Mons (UMONS), Belgium
SP-L3.5: ANALYSIS OF SINGING VOICE FOR EPOCH EXTRACTION USING ZERO FREQUENCY FILTERING METHOD
Sudarsana Reddy Kadiri, Yegnanarayana Bayya, International Institute of Information Technology, Hyderabad, India
SP-L3.6: ESTIMATION OF THE INVARIANT AND VARIANT CHARACTERISTICS IN SPEECH ARTICULATION AND ITS APPLICATION TO SPEAKER IDENTIFICATION
Abhay Prasad, Manipal Institute of Technology, Manipal, India; Vijitha Periyasamy, Prasanta Ghosh, Indian Institute of Science, India
SP-L4.1: A GAUSSIAN MIXTURE MODEL LAYER JOINTLY OPTIMIZED WITH DISCRIMINATIVE FEATURES WITHIN A DEEP NEURAL NETWORK ARCHITECTURE
Ehsan Variani, Johns Hopkins University, United States; Erik McDermott, Georg Heigold, Google Inc., United States
SP-L4.2: DEEP NEURAL SUPPORT VECTOR MACHINES FOR SPEECH RECOGNITION
Shi-Xiong Zhang, Chaojun Liu, Kaisheng Yao, Yifan Gong, Microsoft Corporation, United States
SP-L4.3: LEARNING ACOUSTIC FRAME LABELING FOR SPEECH RECOGNITION WITH RECURRENT NEURAL NETWORKS
Hasim Sak, Andrew Senior, Kanishka Rao, Google Inc., United States; Ozan Irsoy, Cornell University, United States; Alex Graves, Françoise Beaufays, Johan Schalkwyk, Google Inc., United States
SP-L4.4: INTEGRATING GAUSSIAN MIXTURES INTO DEEP NEURAL NETWORKS: SOFTMAX LAYER WITH HIDDEN VARIABLES
Zoltán Tüske, Muhammad Ali Tahir, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany
SP-L4.5: REGULARIZATION OF CONTEXT-DEPENDENT DEEP NEURAL NETWORKS WITH CONTEXT-INDEPENDENT MULTI-TASK TRAINING
Peter Bell, Steve Renals, University of Edinburgh, United Kingdom
SP-L4.6: CONVOLUTIONAL NEURAL NETWORKS-BASED CONTINUOUS SPEECH RECOGNITION USING RAW SPEECH SIGNAL
Dimitri Palaz, Idiap Research Institute, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland; Mathew Magimai-Doss, Ronan Collobert, Idiap Research Institute, Switzerland
SP-L5.1: AN INVESTIGATION INTO SPEAKER INFORMED DNN FRONT-END FOR LVCSR
Yulan Liu, The University of Sheffield, United Kingdom; Penny Karanasou, University of Cambridge, United Kingdom; Thomas Hain, The University of Sheffield, United Kingdom
SP-L5.2: DIFFERENTIABLE POOLING FOR UNSUPERVISED SPEAKER ADAPTATION
Pawel Swietojanski, Steve Renals, University of Edinburgh, United Kingdom
SP-L5.3: INVESTIGATING ONLINE LOW-FOOTPRINT SPEAKER ADAPTATION USING GENERALIZED LINEAR REGRESSION AND CLICK-THROUGH DATA
Yong Zhao, Jinyu Li, Jian Xue, Yifan Gong, Microsoft Corporation, United States
SP-L5.4: MULTI-BASIS ADAPTIVE NEURAL NETWORK FOR RAPID ADAPTATION IN SPEECH RECOGNITION
Chunyang Wu, Mark Gales, University of Cambridge, United Kingdom
SP-L5.5: MAXIMUM LIKELIHOOD NONLINEAR TRANSFORMATIONS BASED ON DEEP NEURAL NETWORKS
Xiaodong Cui, Vaibhava Goel, IBM T.J. Watson Research Center, United States
SP-L5.6: CLUSTER ADAPTIVE TRAINING FOR DEEP NEURAL NETWORK
Tian Tan, Yanmin Qian, Maofan Yin, Yimeng Zhuang, Kai Yu, Shanghai Jiao Tong University, China
SP-L6.1: PITCH ESTIMATION AND TRACKING WITH HARMONIC EMPHASIS ON THE ACOUSTIC SPECTRUM
Sam Karimian-Azari, Aalborg University, Denmark; Nasser Mohammadiha, University of Oldenburg, Germany; Jesper Rindom Jensen, Mads Græsbøll Christensen, Aalborg University, Denmark
SP-L6.2: SPEECH-CODEBOOK BASED SOFT VOICE ACTIVITY DETECTION
Florian Heese, Markus Niermann, Peter Vary, RWTH Aachen University, Germany
SP-L6.3: AUTOMATIC DETECTION OF VOICE ONSET TIME IN DYSARTHRIC SPEECH
Michal Novotný, Jakub Pospíšil, Roman Cmejla, Czech Technical University in Prague, Czech Republic; Jan Rusz, Czech Technical University in Prague / Charles University in Prague, Czech Republic
SP-L6.4: ONE-FORMANT VOCAL TRACT MODELING FOR GLOTTAL PULSE SHAPE ESTIMATION
Yu-Ren Chien, National Taiwan University, Taiwan; Axel Roebel, IRCAM - CNRS STMS, France
SP-L6.5: WEIGHTED TRAINING FOR SPEECH UNDER LOMBARD EFFECT FOR SPEAKER RECOGNITION
Muhammad Muneeb Saleem, Gang Liu, John H.L. Hansen, The University of Texas at Dallas, United States
SP-L6.6: VOCAL RESPONSES TO FREQUENCY MODULATED COMPOSITE SINEWAVES VIA AUDITORY AND VIBROTACTILE PATHWAYS
Xiaozhen Wang, Kiyoshi Honda, Jianwu Dang, Jianguo Wei, Tianjin Key Laboratory of Cognitive Computation & its Applications, Tianjin University, Tianjin, China, China
SP-L7.1: FAR-FIELD SPEECH RECOGNITION USING CNN-DNN-HMM WITH CONVOLUTION IN TIME
Takuya Yoshioka, Shigeki Karita, Tomohiro Nakatani, NTT Corporation, Japan
SP-L7.2: DEEP AUTOENCODERS AUGMENTED WITH PHONE-CLASS FEATURE FOR REVERBERANT SPEECH RECOGNITION
Masato Mimura, Shinsuke Sakai, Tatsuya Kawahara, Kyoto University, Japan
SP-L7.3: ASR ERROR DETECTION AND RECOGNITION RATE ESTIMATION USING DEEP BIDIRECTIONAL RECURRENT NEURAL NETWORKS
Atsunori Ogawa, Takaaki Hori, NTT Corporation, Japan
SP-L7.4: JOINT TRAINING OF FRONT-END AND BACK-END DEEP NEURAL NETWORKS FOR ROBUST SPEECH RECOGNITION
Tian Gao, Jun Du, Li-Rong Dai, University of Science and Technology of China, China; Chin-Hui Lee, Georgia Institute of Technology, United States
SP-L7.5: SPATIAL DIFFUSENESS FEATURES FOR DNN-BASED SPEECH RECOGNITION IN NOISY AND REVERBERANT ENVIRONMENTS
Andreas Schwarz, Christian Huemmer, Roland Maas, Walter Kellermann, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
SP-L7.6: ON USING HETEROGENEOUS DATA FOR VEHICLE-BASED SPEECH RECOGNITION: A DNN-BASED APPROACH
Xue Feng, Massachusetts Institute of Technology, United States; Brigitte Richardson, Scott Amman, Ford Motor Company, United States; James Glass, Massachusetts Institute of Technology, United States
SP-L8.1: A DEEP NEURAL NETWORK FOR TIME-DOMAIN SIGNAL RECONSTRUCTION
Yuxuan Wang, DeLiang Wang, The Ohio State University, United States
SP-L8.2: A DEEP NEURAL NETWORK APPROACH TO SPEECH BANDWIDTH EXPANSION
Kehuang Li, Chin-Hui Lee, Georgia Institute of Technology, United States
SP-L8.3: SPEECH REINFORCEMENT IN NOISY REVERBERANT CONDITIONS UNDER AN APPROXIMATION OF THE SHORT-TIME SII
Richard C. Hendriks, João Crespo, Delft University of Technology, Netherlands; Jesper Jensen, Oticon A/S, Denmark; Cees Taal, Philips Research, Netherlands
SP-L8.4: NOISE PSD ESTIMATION BY LOGARITHMIC BASELINE TRACING
Florian Heese, Peter Vary, RWTH Aachen University, Germany
SP-L8.5: JOINT ACOUSTIC AND SPECTRAL MODELING FOR SPEECH DEREVERBERATION USING NON-NEGATIVE REPRESENTATIONS
Nasser Mohammadiha, University of Oldenburg, Germany; Paris Smaragdis, University of Illinois at Urbana-Champaign and Adobe Systems Inc., United States; Simon Doclo, University of Oldenburg, Germany
SP-L8.6: A PRIORI SAP ESTIMATOR BASED ON THE MAGNITUDE SQUARE COHERENCE FOR DUAL-CHANNEL MICROPHONE SYSTEM
Youna Ji, Yonghyun Baek, Young-cheol Park, Yonsei University, Republic of Korea
SP-L9.1: SPEAKER CHANGE POINT DETECTION USING DEEP NEURAL NETS
Vishwa Gupta, Centre de recherche informatique de Montreal (CRIM), Canada
SP-L9.2: SIMILARITY INDUCED GROUP SPARSITY FOR NON-NEGATIVE MATRIX FACTORISATION
Antti Hurmalainen, Tampere University of Technology, Finland; Rahim Saeidi, Aalto University, Finland; Tuomas Virtanen, Tampere University of Technology, Finland
SP-L9.3: IMPROVED SPEAKER RECOGNITION USING DCT COEFFICIENTS AS FEATURES
Mitchell McLaren, Yun Lei, SRI International, United States
SP-L9.4: KL-HMM BASED SPEAKER DIARIZATION SYSTEM FOR MEETINGS
Srikanth Madikeri, Hervé Bourlard, Idiap Research Institute, Switzerland
SP-L9.5: SAS : A SPEAKER VERIFICATION SPOOFING DATABASE CONTAINING DIVERSE ATTACKS
Zhizheng Wu, University of Edinburgh, United Kingdom; Ali Khodabakhsh, Cenk Demiroglu, Ozyegin University, Turkey; Junichi Yamagishi, University of Edinburgh, United Kingdom; Daisuke Saito, University of Tokyo, Japan; Tomoki Toda, Nara Institute of Science and Technology, Japan; Simon King, University of Edinburgh, United Kingdom
SP-L9.6: EMPLOYMENT OF SUBSPACE GAUSSIAN MIXTURE MODELS IN SPEAKER RECOGNITION
Petr Motlicek, Subhadeep Dey, Srikanth Madikeri, Idiap Research Institute, Switzerland; Lukas Burget, Brno University of Technology, Czech Republic
SP-L10.1: A DEEP RECURRENT APPROACH FOR ACOUSTIC-TO-ARTICULATORY INVERSION
Peng Liu, Quanjie Yu, Zhiyong Wu, Tsinghua University, China; Shiyin Kang, Helen Meng, The Chinese University of Hong Kong, China; Lianhong Cai, Tsinghua University, China
SP-L10.2: THE EFFECT OF NEURAL NETWORKS IN STATISTICAL PARAMETRIC SPEECH SYNTHESIS
Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda, Nagoya Institute of Technology, Japan
SP-L10.3: DEEP NEURAL NETWORKS EMPLOYING MULTI-TASK LEARNING AND STACKED BOTTLENECK FEATURES FOR SPEECH SYNTHESIS
Zhizheng Wu, Cassia Valentini-Botinhao, Oliver Watts, Simon King, University of Edinburgh, United Kingdom
SP-L10.4: MODELLING ACOUSTIC FEATURE DEPENDENCIES WITH ARTIFICIAL NEURAL NETWORKS: TRAJECTORY-RNADE
Benigno Uria, Iain Murray, Steve Renals, Cassia Valentini-Botinhao, University of Edinburgh, United Kingdom; John Bridle, Apple, United Kingdom
SP-L10.5: UNIDIRECTIONAL LONG SHORT-TERM MEMORY RECURRENT NEURAL NETWORK WITH RECURRENT OUTPUT LAYER FOR LOW-LATENCY SPEECH SYNTHESIS
Heiga Zen, Hasim Sak, Google Inc., United Kingdom
SP-L10.6: MULTI-SPEAKER MODELING AND SPEAKER ADAPTATION FOR DNN-BASED TTS SYNTHESIS
Yuchen Fan, Microsoft Corporation, China; Yao Qian, Frank K. Soong, Microsoft Research Asia, China; Lei He, Microsoft Corporation, China
SP-P1.1: A MULTI-CHANNEL CORPUS FOR DISTANT-SPEECH INTERACTION IN PRESENCE OF KNOWN INTERFERENCES
Erich Zwyssig, Mirco Ravanelli, Piergiorgio Svaizer, Maurizio Omologo, Fondazione Bruno Kessler, Italy
SP-P1.2: EXEMPLAR-BASED SPEECH ENHANCEMENT FOR DEEP NEURAL NETWORK BASED AUTOMATIC SPEECH RECOGNITION
Deepak Baby, Jort Florent Gemmeke, KU Leuven, Belgium; Tuomas Virtanen, Tampere University of Technology, Finland; Hugo Van Hamme, KU Leuven, Belgium
SP-P1.3: LANGUAGE-INDEPENDENT VOICE PASSPHRASE VERIFICATION
Gilles Boulianne, Centre de Recherche Informatique de Montreal (CRIM), Canada
SP-P1.4: FAST APPROXIMATE I-VECTOR ESTIMATION USING PCA
Mohamed Omar, IBM T.J. Watson Research Center, United States
SP-P1.5: IMPROVEMENTS TO THE IBM SPEECH ACTIVITY DETECTION SYSTEM FOR THE DARPA RATS PROGRAM
Samuel Thomas, George Saon, IBM Research, United States; Maarten Segbroeck, Shrikanth S. Narayanan, University of Southern California, Los Angeles, United States
SP-P1.7: VOICE ACTIVITY DETECTION USING SUBBAND NONCIRCULARITY
Scott Wisdom, Greg Okopal, Les Atlas, James Pitton, University of Washington, United States
SP-P1.8: A NOVEL STATIC PARAMETER CALCULATION METHOD FOR MODEL COMPENSATION
Suliang Bu, Yunxin Zhao, University of Missouri-Columbia, United States; Yanmin Qian, Kai Yu, Shanghai Jiao Tong University, China
SP-P1.9: FREE ENERGY FOR SPEECH RECOGNITION
Rita Singh, Carnegie Mellon University, United States; Kenichi Kumatani, Spansion Inc., United States
SP-P2.1: CONSTRUCTING LONG SHORT-TERM MEMORY BASED DEEP RECURRENT NEURAL NETWORKS FOR LARGE VOCABULARY SPEECH RECOGNITION
Xiangang Li, Xihong Wu, Peking University, China
SP-P2.2: COMBINATION OF TWO-DIMENSIONAL COCHLEOGRAM AND SPECTROGRAM FEATURES FOR DEEP LEARNING-BASED ASR
Andros Tjandra, Sakriani Sakti, Graham Neubig, Tomoki Toda, Nara Institute of Science and Technology, Japan; Mirna Adriani, Universitas Indonesia, Indonesia; Satoshi Nakamura, Nara Institute of Science and Technology, Japan
SP-P2.3: ON THE IMPORTANCE OF MODELING AND ROBUSTNESS FOR DEEP NEURAL NETWORK FEATURE
Shuo-Yiin Chang, University of California, Berkeley and International Computer Science Institute, United States; Steven Wegmann, International Computer Science Institute, United States
SP-P2.4: CONTEXT ADAPTIVE DEEP NEURAL NETWORKS FOR FAST ACOUSTIC MODEL ADAPTATION
Marc Delcroix, Keisuke Kinoshita, Takaaki Hori, Tomohiro Nakatani, NTT Corporation, Japan
SP-P2.5: LEARNING FEATURE MAPPING USING DEEP NEURAL NETWORK BOTTLENECK FEATURES FOR DISTANT LARGE VOCABULARY SPEECH RECOGNITION
Ivan Himawan, Petr Motlicek, David Imseng, Blaise Potard, Idiap Research Institute, Switzerland; Namhoon Kim, Jaewon Lee, Samsung Electronics Co., Ltd., Republic of Korea
SP-P2.6: DATA AUGMENTATION FOR DEEP CONVOLUTIONAL NEURAL NETWORK ACOUSTIC MODELING
Xiaodong Cui, Vaibhava Goel, Brian Kingsbury, IBM T.J. Watson Research Center, United States
SP-P2.7: EVALUATING DEEP SCATTERING SPECTRA WITH DEEP NEURAL NETWORKS ON LARGE SCALE SPONTANEOUS SPEECH TASK
Petr Fousek, IBM Czech Republic, Czech Republic; Pierre Dognin, Vaibhava Goel, IBM, United States
SP-P2.8: UNSUPERVISED SPEAKER ADAPTATION OF DEEP NEURAL NETWORK BASED ON THE COMBINATION OF SPEAKER CODES AND SINGULAR VALUE DECOMPOSITION FOR SPEECH RECOGNITION
Shaofei Xue, University of Science and Technology of China, China; Hui Jiang, York University, Canada; Li-Rong Dai, Qingfeng Liu, University of Science and Technology of China, China
SP-P2.9: DEEP RECURRENT REGULARIZATION NEURAL NETWORK FOR SPEECH RECOGNITION
Jen-Tzung Chien, Tsai-Wei Lu, National Chiao Tung University, Taiwan
SP-P2.10: INVESTIGATIONS ON SEQUENCE TRAINING OF NEURAL NETWORKS
Simon Wiesler, Pavel Golik, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany
SP-P2.11: BUILDING CONTEXT-DEPENDENT DNN ACOUSTIC MODELS USING KULLBACK-LEIBLER DIVERGENCE-BASED STATE TYING
Gabor Gosztolya, Tamas Grosz, Laszlo Toth, MTA-SZTE Research Group on Artificial Intelligence, Hungary; David Imseng, Idiap Research Institute, Switzerland
SP-P2.12: MODELING LONG TEMPORAL CONTEXTS IN CONVOLUTIONAL NEURAL NETWORK-BASED PHONE RECOGNITION
Laszlo Toth, MTA-SZTE Research Group on Artificial Intelligence, Hungary
SP-P3.1: CONVOLUTIONAL, LONG SHORT-TERM MEMORY, FULLY CONNECTED DEEP NEURAL NETWORKS
Tara Sainath, Oriol Vinyals, Andrew Senior, Hasim Sak, Google Inc., United States
SP-P3.2: CONTEXT DEPENDENT PHONE MODELS FOR LSTM RNN ACOUSTIC MODELLING
Andrew Senior, Hasim Sak, Izhak Shafran, Google Inc., United States
SP-P3.3: UNSUPERVISED LEARNING OF ACOUSTIC FEATURES VIA DEEP CANONICAL CORRELATION ANALYSIS
Weiran Wang, Toyota Technological Institute at Chicago, United States; Raman Arora, Johns Hopkins University, United States; Karen Livescu, Toyota Technological Institute at Chicago, United States; Jeff Bilmes, University of Washington, United States
SP-P3.4: MULTI-FRAME FACTORISATION FOR LONG-SPAN ACOUSTIC MODELLING
Liang Lu, Steve Renals, University of Edinburgh, United Kingdom
SP-P3.5: IMPROVING LONG SHORT-TERM MEMORY NETWORKS USING MAXOUT UNITS FOR LARGE VOCABULARY SPEECH RECOGNITION
Xiangang Li, Xihong Wu, Peking University, China
SP-P3.6: SPEAKER ADAPTIVE TRAINING FOR DEEP NEURAL NETWORKS EMBEDDING LINEAR TRANSFORMATION NETWORKS
Tsubasa Ochiai, NICT/Doshisha Univ., Japan; Shigeki Matsuda, Doshisha University, Japan; Hideyuki Watanabe, Xugang Lu, Chiori Hori, NICT, Japan; Shigeru Katagiri, Doshisha University, Japan
SP-P3.7: AN INVESTIGATION OF AUGMENTING SPEAKER REPRESENTATIONS TO IMPROVE SPEAKER NORMALISATION FOR DNN-BASED SPEECH RECOGNITION
Hengguan Huang, Khe Chai Sim, National University of Singapore, Singapore
SP-P3.8: INVESTIGATION OF MIXTURE SPLITTING CONCEPT FOR TRAINING LINEAR BOTTLENECKS OF DEEP NEURAL NETWORK ACOUSTIC MODELS
Muhammad Ali Tahir, Simon Wiesler, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany
SP-P4.1: FIX IT WHERE IT FAILS: PRONUNCIATION LEARNING BY MINING ERROR CORRECTIONS FROM SPEECH LOGS
Zhenzhen Kou, Daisy Stanton, Fuchun Peng, Françoise Beaufays, Trevor Strohman, Google Inc., United States
SP-P4.2: SPEECH ACOUSTIC MODELING FROM RAW MULTICHANNEL WAVEFORMS
Yedid Hoshen, Hebrew University, Israel; Ron Weiss, Kevin Wilson, Google Inc., United States
SP-P4.3: SUBMODULAR DATA SELECTION WITH ACOUSTIC AND PHONETIC FEATURES FOR AUTOMATIC SPEECH RECOGNITION
Chongjia Ni, Lei Wang, Institute for Infocomm Research (I2R), A*STAR, Singapore, Singapore; Haibo Liu, Tencent Inc., China; Cheung-Chi Leung, Institute for Infocomm Research (I2R), A*STAR, Singapore, Singapore; Li Lu, Tencent Inc., China; Bin Ma, Institute for Infocomm Research (I2R), A*STAR, Singapore, Singapore
SP-P4.4: A LANGUAGE SPACE REPRESENTATION FOR SPEECH RECOGNITION
Anton Ragni, Mark Gales, Kate Mary Knill, University of Cambridge, United Kingdom
SP-P4.5: AN HMM-BASED FORMALISM FOR AUTOMATIC SUBWORD UNIT DERIVATION AND PRONUNCIATION GENERATION
Marzieh Razavi, Idiap Research Institute, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland; Mathew Magimai-Doss, Idiap Research Institute, Switzerland
SP-P4.6: JOINT ESTIMATION OF VOCAL TRACT AND NASAL TRACT AREA FUNCTIONS FROM SPEECH WAVEFORMS VIA AUTO-REGRESSION MOVING-AVERAGE MODELING AND A POLE ASSIGNMENT METHOD
Shang-Hsuan Peng, Chao-Wen Li, Yi-Wen Liu, National Tsing Hua University, Taiwan
SP-P4.7: SWITCHING TO AND COMBINING OFFLINE-ADAPTED CLUSTER ACOUSTIC MODELS BASED ON UNSUPERVISED SEGMENT CLASSIFICATION
Jintao Jiang, Applications Technology (AppTek), United States; Hassan Sawaf, eBay Inc., United States
SP-P4.8: IMPROVING OUT-DOMAIN PLDA SPEAKER VERIFICATION USING UNSUPERVISED INTER-DATASET VARIABILITY COMPENSATION APPROACH
Ahilan Kanagasundaram, David Dean, Sridha Sridharan, Queensland University of Technology, Australia
SP-P4.9: A UNIFIED FRAMEWORK FOR FILTERBANK AND TIME-FREQUENCY BASIS VECTORS IN ASR FRONTENDS
Xiaoyu Liu, Stephen Zahorian, Binghamton University, United States
SP-P4.10: ROBUST EXCITATION-BASED FEATURES FOR AUTOMATIC SPEECH RECOGNITION
Thomas Drugman, Yannis Stylianou, Langzhou Chen, Toshiba Research Europe Ltd, United Kingdom; Xie Chen, Mark Gales, University of Cambridge, United Kingdom
SP-P5.1: MEMORY-AWARE I-VECTOR EXTRACTION BY MEANS OF SUB-SPACE FACTORIZATION
Sandro Cumani, Pietro Laface, Politecnico di Torino, Italy
SP-P5.2: ENTROPY ANALYSIS OF I-VECTOR FEATURE SPACES IN DURATION-SENSITIVE SPEAKER RECOGNITION
Andreas Nautsch, Christian Rathgeb, Hochschule Darmstadt, Germany; Rahim Saeidi, Aalto University, Finland; Christoph Busch, Hochschule Darmstadt, Germany
SP-P5.3: SPEAKER VERIFICATION WITH THE MIXTURE OF GAUSSIAN FACTOR ANALYSIS BASED REPRESENTATION
Ming Li, Sun Yat-Sen University, China
SP-P5.4: NEAREST NEIGHBOR BASED I-VECTOR NORMALIZATION FOR ROBUST SPEAKER RECOGNITION UNDER UNSEEN CHANNEL CONDITIONS
Weizhong Zhu, Seyed Omid Sadjadi, Jason Pelecanos, IBM Research, United States
SP-P5.5: JFA MODELING WITH LEFT-TO-RIGHT STRUCTURE AND A NEW BACKEND FOR TEXT-DEPENDENT SPEAKER RECOGNITION
Patrick Kenny, Themos Stafylakis, Jahangir Alam, CRIM, Canada; Marcel Kockmann, Voicetrust, Canada
SP-P5.6: SOFTSAD: INTEGRATED FRAME-BASED SPEECH CONFIDENCE FOR SPEAKER RECOGNITION
Mitchell McLaren, Martin Graciarena, Yun Lei, SRI International, United States
SP-P6.1: SEMI-SUPERVISED TRAINING IN LOW-RESOURCE ASR AND KWS
Florian Metze, Ankur Gandhe, Yajie Miao, Zaid Sheikh, Yun Wang, Di Xu, Hao Zhang, Jungsuk Kim, Ian Lane, Won Kyum Lee, Carnegie Mellon University, United States; Sebastian Stüker, Markus Müller, Karlsruhe Institute of Technology, Germany
SP-P6.2: AUTOMATIC GAIN CONTROL AND MULTI-STYLE TRAINING FOR ROBUST SMALL-FOOTPRINT KEYWORD SPOTTING WITH DEEP NEURAL NETWORKS
Rohit Prabhavalkar, Raziel Alvarez, Carolina Parada, Google Inc., United States; Preetum Nakkiran, University of California, Berkeley, United States; Tara Sainath, Google Inc., United States
SP-P6.3: IMPROVING MULTIPLE-CROWD-SOURCED TRANSCRIPTIONS USING A SPEECH RECOGNISER
Rogier van Dalen, Kate Mary Knill, Pirros Tsiakoulis, Mark Gales, University of Cambridge, United Kingdom
SP-P6.4: UNSUPERVISED DATA SELECTION AND WORD-MORPH MIXED LANGUAGE MODEL FOR TAMIL LOW-RESOURCE KEYWORD SEARCH
Chongjia Ni, Cheung-Chi Leung, Lei Wang, Nancy F. Chen, Bin Ma, Institute for Infocomm Research (I2R), A*STAR, Singapore, Singapore
SP-P6.5: PROF-LIFE-LOG: ANALYSIS AND CLASSIFICATION OF ACTIVITIES IN DAILY AUDIO STREAMS
Ali Ziaei, Abhijeet Sangwan, Lakshmish Kaushik, John H.L. Hansen, The University of Texas at Dallas, United States
SP-P6.6: ROBUST OVERLAPPED SPEECH DETECTION AND ITS APPLICATION IN WORD-COUNT ESTIMATION FOR PROF-LIFE-LOG DATA
Navid Shokouhi, Ali Ziaei, Abhijeet Sangwan, John H.L. Hansen, The University of Texas at Dallas, United States
SP-P6.7: IMPROVEMENTS ON TRANSDUCING SYLLABLE LATTICE TO WORD LATTICE FOR KEYWORD SEARCH
Hang Su, University of California, Berkeley, United States; Van Tung Pham, Nanyang Technological University, Singapore; Yanzhang He, The Ohio State University, Columbus, United States; Jim Hieronymus, International Computer Science Institute, United States
SP-P6.8: THE THUEE SYSTEM FOR THE OPENKWS14 KEYWORD SEARCH EVALUATION
Meng Cai, Zhiqiang Lv, Beili Song, Yongzhe Shi, Weilan Wu, Cheng Lu, Wei-Qiang Zhang, Jia Liu, Tsinghua University, China
SP-P7.1: VOICE QUALITY: NOT ONLY ABOUT "YOU" BUT ALSO ABOUT "YOUR INTERLOCUTOR"
Ya Li, Institute of Automation, Chinese Academy of Sciences, China; Nick Campbell, Trinity College Dublin, the University of Dublin, Ireland; Jianhua Tao, Institute of Automation, Chinese Academy of Sciences, China
SP-P7.2: ATOM DECOMPOSITION-BASED INTONATION MODELLING
Pierre-Edouard Honnet, Idiap Research Institute, Switzerland; Branislav Gerazov, University of Ss. Cyril and Methodius, The former Yugoslav Republic of Macedonia; Philip N. Garner, Idiap Research Institute, Switzerland
SP-P7.3: SPEECH EMOTION RECOGNITION WITH ACOUSTIC AND LEXICAL FEATURES
Qin Jin, Chengxin Li, Shizhe Chen, Huimin Wu, Renmin University of China, China
SP-P7.4: A CROSSLINGUISTIC STUDY OF PROSODIC FOCUS
Yong-cheol Lee, University of Pennsylvania, United States; Bei Wang, Sisi Chen, Minzu University of China, China; Martine Adda-Decker, Angélique Amelot, Sorbonne Nouvelle, France; Satoshi Nambu, NINJAL, Japan; Mark Liberman, University of Pennsylvania, United States
SP-P7.5: EMOTION RECOGNITION USING SYNTHETIC SPEECH AS NEUTRAL REFERENCE
Reza Lotfian, Carlos Busso, The University of Texas at Dallas, United States
SP-P7.6: EXTRACTION OF PITCH REGISTER FROM EXPRESSIVE SPEECH IN JAPANESE
Jinfu Ni, Yoshinori Shiga, Chiori Hori, National Institute of Information and Communications Technology, Japan
SP-P7.7: CROSS-CORPUS DEPRESSION PREDICTION FROM SPEECH
Vikramjit Mitra, Elizabeth Shriberg, Dimitra Vergyri, Bruce Knoth, SRI International, United States; Ronald Salomon, Northwestern University, United States
SP-P7.8: EFFECTS OF FEATURE TYPE, LEARNING ALGORITHM AND SPEAKING STYLE FOR DEPRESSION DETECTION FROM SPEECH
Vikramjit Mitra, Elizabeth Shriberg, SRI International, United States
SP-P7.9: WEIGHTED PAIRWISE GAUSSIAN LIKELIHOOD REGRESSION FOR DEPRESSION SCORE PREDICTION
Nicholas Cummins, Julien Epps, Vidhyasaharan Sethu, University of New South Wales, Australia; Jarek Krajewski, University of Wuppertal, Germany
SP-P7.10: A NOVEL FILTERING BASED APPROACH FOR EPOCH EXTRACTION
Pramod Bachhav, Hemant Patil, Tanvina Patel, Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar-382007, India., India
SP-P7.11: REDUCED VOWEL SPACE IS A ROBUST INDICATOR OF PSYCHOLOGICAL DISTRESS: A CROSS-CORPUS ANALYSIS
Stefan Scherer, Louis-Philippe Morency, Jonathan Gratch, University of Southern California, United States; John Pestian, Cincinnati Children's Hospital Medical Center, United States
SP-P8.1: DIARIZATION RESEGMENTATION IN THE FACTOR ANALYSIS SUBSPACE
Gregory Sell, Daniel Garcia-Romero, Johns Hopkins University, United States
SP-P8.2: AUDIOVISUAL SPEAKER DIARIZATION OF TV SERIES
Xavier Bost, Georges Linares, Serigne Gueye, Avignon University, France
SP-P8.3: RESTRICTED BOLTZMANN MACHINE SUPERVECTORS FOR SPEAKER RECOGNITION
Omid Ghahabi, Javier Hernando, Universitat Politècnica de Catalunya, Spain
SP-P8.4: PLDA-BASED DIARIZATION OF TELEPHONE CONVERSATIONS
Ahmet Emin Bulut, Hakan Demir, Yusuf Ziya Isik, TUBITAK BILGEM, Turkey; Hakan Erdogan, Sabanci University, Turkey
SP-P8.5: ADVANCES IN DEEP NEURAL NETWORK APPROACHES TO SPEAKER RECOGNITION
Mitchell McLaren, Yun Lei, SRI International, United States; Luciana Ferrer, Universidad de Buenos Aires and CONICET, Argentina
SP-P8.6: FORENSIC VOICE COMPARISON WITH MONOPHTHONGAL FORMANT TRAJECTORIES - A LIKELIHOOD RATIO-BASED DISCRIMINATION OF "SCHWA" VOWEL ACOUSTICS IN A CLOSE SOCIAL GROUP OF YOUNG AUSTRALIAN FEMALES
Phil Rose, The Australian National University, Australia
SP-P8.7: DEEP NEURAL NETWORKS FOR COCHANNEL SPEAKER IDENTIFICATION
Xiaojia Zhao, Yuxuan Wang, DeLiang Wang, The Ohio State University, United States
SP-P8.8: A CLUSTER-VOTING APPROACH FOR SPEAKER DIARIZATION AND LINKING OF AUSTRALIAN BROADCAST NEWS RECORDINGS
Houman Ghaemmaghami, David Dean, Sridha Sridharan, Queensland University of Technology, Australia
SP-P8.9: COMBINING SGMM SPEAKER VECTORS AND KL-HMM APPROACH FOR SPEAKER DIARIZATION
Srikanth Madikeri, Petr Motlicek, Hervé Bourlard, Idiap Research Institute, Switzerland
SP-P8.10: TELEPHONY TEXT-PROMPTED SPEAKER VERIFICATION USING I-VECTOR REPRESENTATION
Hossein Zeinali, Elaheh Kalantari, Hossein Sameti, Hossein Hadian, Sharif University of Technology, Iran
SP-P9.1: PHONOLOGICAL VOCODING USING ARTIFICIAL NEURAL NETWORKS
Milos Cernak, Blaise Potard, Philip N. Garner, Idiap Research Institute, Switzerland
SP-P9.2: SPECTRAL CONVERSION USING DEEP NEURAL NETWORKS TRAINED WITH MULTI-SOURCE SPEAKERS
Li-Juan Liu, University of Science and Technology of China, China; Ling-Hui Chen, University of Science and Technology of China/iFLYTEK CO.,LTD., China; Zhen-Hua Ling, Li-Rong Dai, University of Science and Technology of China, China
SP-P9.3: ESTIMATE ARTICULATORY MRI SERIES FROM ACOUSTIC SIGNAL USING DEEP ARCHITECTURE
Hao Li, Jianhua Tao, Minghao Yang, Bin Liu, Chinese Academy of Sciences, China
SP-P9.4: MODULATION SPECTRUM-CONSTRAINED TRAJECTORY TRAINING ALGORITHM FOR GMM-BASED VOICE CONVERSION
Shinnosuke Takamichi, Tomoki Toda, Nara Institute of Science and Technology, Japan; Alan W. Black, Carnegie Mellon University, United States; Satoshi Nakamura, Nara Institute of Science and Technology, Japan
SP-P9.5: ADAPTIVE STATISTICAL UTTERANCE PHONETIZATION FOR FRENCH
Gwénolé Lecorvé, Damien Lolive, IRISA/Université de Rennes 1, France
SP-P9.6: VOICE CONVERSION USING DEEP BIDIRECTIONAL LONG SHORT-TERM MEMORY BASED RECURRENT NEURAL NETWORKS
Lifa Sun, Shiyin Kang, Kun Li, Helen Meng, The Chinese University of Hong Kong, Hong Kong SAR of China
SP-P9.7: A SPECTRAL SPACE WARPING APPROACH TO CROSS-LINGUAL VOICE TRANSFORMATION IN HMM-BASED TTS
Hao Wang, The Chinese University of Hong Kong, Hong Kong SAR of China; Frank K. Soong, Microsoft Research Asia, China; Helen Meng, The Chinese University of Hong Kong, Hong Kong SAR of China
SP-P9.8: WORD EMBEDDING FOR RECURRENT NEURAL NETWORK BASED TTS SYNTHESIS
Peilu Wang, Shanghai Jiao Tong University, China; Yao Qian, Frank K. Soong, Lei He, Microsoft Research Asia, China; Hai Zhao, Shanghai Jiao Tong University, China
SP-P9.9: PHOTO-REAL TALKING HEAD WITH DEEP BIDIRECTIONAL LSTM
Bo Fan, Northwestern Polytechnical University, China; Lijuan Wang, Frank K. Soong, Microsoft Research Asia, China; Lei Xie, Northwestern Polytechnical University, China
SP-P9.10: METHODS FOR APPLYING DYNAMIC SINUSOIDAL MODELS TO STATISTICAL PARAMETRIC SPEECH SYNTHESIS
Qiong Hu, University of Edinburgh, United Kingdom; Yannis Stylianou, Ranniery Maia, Toshiba Research Europe Ltd, United Kingdom; Korin Richmond, University of Edinburgh, United Kingdom; Junichi Yamagishi, National Institute of Informatics, Tokyo, Japan
SP-P9.11: THE ROLE OF GLOTTAL SOURCE PARAMETERS FOR HIGH-QUALITY TRANSFORMATION OF PERCEPTUAL AGE
Xavier Favory, Nicolas Obin, Gilles Degottex, Axel Roebel, IRCAM, France
SP-P9.12: ACTIVITY-MAPPING NON-NEGATIVE MATRIX FACTORIZATION FOR EXEMPLAR-BASED VOICE CONVERSION
Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki, Kobe University, Japan
SP-P10.1: A MOUTH FULL OF WORDS: VISUALLY CONSISTENT ACOUSTIC REDUBBING
Sarah Taylor, Disney Research, United States; Barry-John Theobald, University of East Anglia, United Kingdom; Iain Matthews, Disney Research, United States
SP-P10.2: A MULTI-LEVEL REPRESENTATION OF F0 USING THE CONTINUOUS WAVELET TRANSFORM AND THE DISCRETE COSINE TRANSFORM
Manuel Sam Ribeiro, Robert A. J. Clark, University of Edinburgh, United Kingdom
SP-P10.3: COHERENT MODIFICATION OF PITCH AND ENERGY FOR EXPRESSIVE PROSODY IMPLANTATION
Alexander Sorin, Slava Shechtman, IBM Research, Israel; Vincent Pollet, Nuance Communications, Belgium
SP-P10.4: INTONATIONAL PHRASE BREAK PREDICTION FOR TEXT-TO-SPEECH SYNTHESIS USING DEPENDENCY RELATIONS
Taniya Mishra, Yeon-jun Kim, Srinivas Bangalore, Interactions Corporation, United States
SP-P10.5: OBJECTIVE SPEECH INTELLIGIBILITY ASSESSMENT THROUGH COMPARISON OF PHONEME CLASS CONDITIONAL PROBABILITY SEQUENCES
Raphael Ullmann, Mathew Magimai-Doss, Hervé Bourlard, Idiap Research Institute, Switzerland
SP-P10.6: PROSODY GENERATION USING FRAME-BASED GAUSSIAN PROCESS REGRESSION AND CLASSIFICATION FOR STATISTICAL PARAMETRIC SPEECH SYNTHESIS
Tomoki Koriyama, Takao Kobayashi, Tokyo Institute of Technology, Japan
SP-P10.7: HMM-BASED EMPHATIC SPEECH SYNTHESIS FOR CORRECTIVE FEEDBACK IN COMPUTER-AIDED PRONUNCIATION TRAINING
Yishuang Ning, Zhiyong Wu, Jia Jia, Fanbo Meng, Tsinghua University, China; Helen Meng, The Chinese University of Hong Kong, China; Lianhong Cai, Tsinghua University, China
SP-P10.8: SPEECH-LAUGHS: AN HMM-BASED APPROACH FOR AMUSED SPEECH SYNTHESIS
Kevin El Haddad, Stéphane Dupont, Jérôme Urbain, Thierry Dutoit, Faculté Polytechnique, Université de Mons, Belgium
SP-P10.9: EVALUATION OF LINEAR REGRESSION FOR SPEAKER ADAPTATION IN HMM-BASED ARTICULATORY MOVEMENTS ESTIMATION
Hao Li, Jianhua Tao, Yang Wang, Chinese Academy of Sciences, China
SP-P10.10: IMPROVED TIME-FREQUENCY TRAJECTORY EXCITATION MODELING FOR A STATISTICAL PARAMETRIC SPEECH SYNTHESIS SYSTEM
Eunwoo Song, Young-Sun Joo, Hong-Goo Kang, Yonsei University, Republic of Korea
SP-P11.1: NEURON SPARSENESS VERSUS CONNECTION SPARSENESS IN DEEP NEURAL NETWORK FOR LARGE VOCABULARY SPEECH RECOGNITION
Jian Kang, Cheng Lu, Meng Cai, Wei-Qiang Zhang, Jia Liu, Tsinghua University, China
SP-P11.2: WFST-BASED STRUCTURAL CLASSIFICATION INTEGRATING DNN ACOUSTIC FEATURES AND RNN LANGUAGE FEATURES FOR SPEECH RECOGNITION
Quoc Truong Do, Satoshi Nakamura, Nara Institute of Science and Technology, Japan; Marc Delcroix, Takaaki Hori, NTT Corporation, Japan
SP-P11.3: REGULARIZING DNN ACOUSTIC MODELS WITH GAUSSIAN STOCHASTIC NEURONS
Hao Zhang, Yajie Miao, Florian Metze, Carnegie Mellon University, United States
SP-P11.4: MULTI-TASK DEEP NEURAL NETWORK ACOUSTIC MODELS WITH MODEL ADAPTATION USING DISCRIMINATIVE SPEAKER IDENTITY FOR WHISPER RECOGNITION
Jingjie Li, Ian McLoughlin, National Engineering Laboratory of Speech and Language Information Processing, University of Science and Technology of China, China; Cong Liu, iFlytek Research, China; Shaofei Xue, National Engineering Laboratory of Speech and Language Information Processing, University of Science and Technology of China, China; Si Wei, iFlytek Research, China
SP-P11.5: A NONMONOTONE LEARNING RATE STRATEGY FOR SGD TRAINING OF DEEP NEURAL NETWORKS
Nitish Shirish Keskar, Northwestern University, United States; George Saon, IBM T.J. Watson Research Center, United States
SP-P11.6: STRUCTURE DISCOVERY OF DEEP NEURAL NETWORK BASED ON EVOLUTIONARY ALGORITHMS
Takahiro Shinozaki, Tokyo Institute of Technology, Japan; Shinji Watanabe, Mitsubishi Electric Research Laboratories (MERL), United States
SP-P11.7: SMALL-FOOTPRINT HIGH-PERFORMANCE DEEP NEURAL NETWORK-BASED SPEECH RECOGNITION USING SPLIT-VQ
Yongqiang Wang, Jinyu Li, Yifan Gong, Microsoft Corporation, United States
SP-P11.8: AN ANALYSIS OF CONVOLUTIONAL NEURAL NETWORKS FOR SPEECH RECOGNITION
Jui-Ting Huang, Jinyu Li, Yifan Gong, Microsoft Corporation, United States
SP-P11.9: MULTI-LINGUAL SPEECH RECOGNITION WITH LOW-RANK MULTI-TASK DEEP NEURAL NETWORKS
Aanchan Mohan, Richard Rose, McGill University, Canada
SP-P11.10: ESTIMATING CONFIDENCE SCORES ON ASR RESULTS USING RECURRENT NEURAL NETWORKS
Kaustubh Kalgaonkar, Chaojun Liu, Kaisheng Yao, Yifan Gong, Microsoft Corporation, United States
SP-P11.11: SPEECH RECOGNITION WITH PREDICTION-ADAPTATION-CORRECTION RECURRENT NEURAL NETWORKS
Yu Zhang, Massachusetts Institute of Technology, United States; Dong Yu, Michael L. Seltzer, Jasha Droppo, Microsoft Research, United States
SP-P12.1: TOWARDS MACHINES THAT KNOW WHEN THEY DO NOT KNOW: SUMMARY OF WORK DONE AT 2014 FREDERICK JELINEK MEMORIAL WORKSHOP
Hynek Hermansky, Johns Hopkins University, United States; Lukas Burget, Technical University Brno, Czech Republic; Jordan Cohen, Spelamode, United States; Emmanuel Dupoux, Ecole Normale Supérieure, France; Naomi Feldman, University of Maryland, United States; John Godfrey, Sanjeev Khudanpur, Johns Hopkins University, United States; Matthew Maciejewski, Carnegie Mellon University, United States; Sri Harish Mallidi, Johns Hopkins University, United States; Anjali Menon, Carnegie Mellon University, United States; Tetsuji Ogawa, Waseda University, Japan; Vijayaditya Peddinti, Johns Hopkins University, United States; Richard Rose, McGill University, Canada; Richard Stern, Carnegie Mellon University, United States; Matthew Wiesner, McGill University, Canada; Karel Veselý, Technical University Brno, Canada
SP-P12.2: IMPROVING SPEECH RECOGNITION IN REVERBERATION USING A ROOM-AWARE DEEP NEURAL NETWORK AND MULTI-TASK LEARNING
Ritwik Giri, University of California, San Diego, United States; Michael L. Seltzer, Jasha Droppo, Dong Yu, Microsoft Research, United States
SP-P12.3: FEATURE ENHANCEMENT BASED ON GENERATIVE-DISCRIMINATIVE HYBRID APPROACH WITH GMMS AND DNNS FOR NOISE ROBUST SPEECH RECOGNITION
Masakiyo Fujimoto, Tomohiro Nakatani, NTT Corporation, Japan
SP-P12.4: GENERATIVE MODELING OF PSEUDO-TARGET DOMAIN ADAPTATION SAMPLES FOR WHISPERED SPEECH RECOGNITION
Shabnam Ghaffarzadegan, Hynek Boril, John H.L. Hansen, The University of Texas at Dallas, United States
SP-P12.5: ROBUST SPEECH PROCESSING USING ARMA SPECTROGRAM MODELS
Sriram Ganapathy, IBM T.J. Watson Research Center, United States
SP-P12.6: LASSO-BASED REVERBERATION SUPPRESSION IN AUTOMATIC SPEECH RECOGNITION
Xuewei Zhang, Yiye Lin, Dong Wang, Tsinghua University, China
SP-P12.7: DISCRIMINATIVE UNCERTAINTY ESTIMATION FOR NOISE ROBUST ASR
Dung T. Tran, Emmanuel Vincent, Denis Jouvet, INRIA, France
SP-P12.8: A STUDY ON JOINT BEAMFORMING AND SPECTRAL ENHANCEMENT FOR ROBUST SPEECH RECOGNITION IN REVERBERANT ENVIRONMENTS
Feifei Xiong, Fraunhofer IDMT-HSA, Germany; Bernd T. Meyer, University of Oldenburg, Germany; Stefan Goetze, Fraunhofer IDMT-HSA, Germany
SP-P12.9: IMPROVED STRATEGIES FOR A ZERO OOV RATE LVCSR SYSTEM
Mahaboob Ali Basha Shaik, Amr El-Desoky Mousa, Stefan Hahn, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany
SP-P12.10: UNSUPERVISED ADAPTATION OF A DENOISING AUTOENCODER BY BAYESIAN FEATURE ENHANCEMENT FOR REVERBERANT ASR UNDER MISMATCH CONDITIONS
Jahn Heymann, Reinhold Häb-Umbach, University of Paderborn, Germany; Pavel Golik, Ralf Schlüter, RWTH Aachen University, Germany
SP-P12.11: SUPERVISED DOMAIN ADAPTATION FOR EMOTION RECOGNITION FROM SPEECH
Mohammed Abdelwahab, Carlos Busso, The University of Texas at Dallas, United States
SP-P12.12: HARMONIC PHASE ESTIMATION IN SINGLE-CHANNEL SPEECH ENHANCEMENT USING VON MISES DISTRIBUTION AND PRIOR SNR
Josef Kulmer, Pejman Mowlaee, Graz University of Technology, Austria
SP-P13.1: WIND NOISE SHORT TERM POWER SPECTRUM ESTIMATION USING PITCH ADAPTIVE INVERSE BINARY MASKS
Christoph Nelke, Peter Vary, RWTH Aachen University, Germany
SP-P13.2: SPARSE HMM-BASED SPEECH ENHANCEMENT METHOD FOR STATIONARY AND NON-STATIONARY NOISE ENVIRONMENTS
Feng Deng, Chang-chun Bao, Beijing University of Technology, China; W. Bastiaan Kleijn, Victoria University of Wellington, New Zealand
SP-P13.4: SOBM - A BINARY MASK FOR NOISY SPEECH THAT OPTIMISES AN OBJECTIVE INTELLIGIBILITY METRIC
Leo Lightburn, Mike Brookes, Imperial College London, United Kingdom
SP-P13.6: CROSS-DOMAIN COOPERATIVE DEEP STACKING NETWORK FOR SPEECH SEPARATION
Wei Jiang, Shan Liang, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China; Like Dong, Hong Yang, Electric Power Research Institute of ShanXi Electric Power Company, China State Grid Corp, China; Wenju Liu, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China; Yunji Wang, Electrical and Computer Engineering Department, The University of Texas at San Antonio, United States
SP-P13.7: SINGLE-CHANNEL SPEECH ENHANCEMENT IN A TRANSIENT NOISE ENVIRONMENT BY EXPLOITING SPEECH HARMONICITY
Kai Wu, Vaninirappuputhenpurayil Gopalan Reju, Andy W. H. Khong, Nanyang Technological University, Singapore
SP-P13.8: LEVERAGING AUTOMATIC SPEECH RECOGNITION IN COCHLEAR IMPLANTS FOR IMPROVED SPEECH INTELLIGIBILITY UNDER REVERBERATION
Oldooz Hazrati, Shabnam Ghaffarzadegan, John H.L. Hansen, The University of Texas at Dallas, United States
SP-P13.9: DELAYLESS SPEECH ENHANCEMENT WITH A VIRTUAL ZERO-PHASE RESPONSE USING A PREDICTION OF PERIODIC SIGNAL COMPONENTS
Kristian Timm Andersen, KU Leuven, Belgium; Thomas Bo Elmedyb, Widex A/S, Denmark; Marc Moonen, KU Leuven, Belgium
SP-P13.10: IMPROVED FACE-TO-FACE COMMUNICATION USING NOISE REDUCTION AND SPEECH INTELLIGIBILITY ENHANCEMENT
Anthony Griffin, AUT University/University of Crete, New Zealand; Tudor-Catalin Zorila, University of Crete, Greece; Yannis Stylianou, University of Crete/Toshiba Research Centre Laboratory, United Kingdom
SP-P13.11: ON THE POTENTIAL FOR ARTIFICIAL BANDWIDTH EXTENSION OF BONE AND TISSUE CONDUCTED SPEECH: A MUTUAL INFORMATION STUDY
Rachel E. Bouserhal, Université du Québec, Canada; Tiago H. Falk, Institut national de la recherche scientifique, Canada; Jeremie Voix, Université du Québec, Canada
SP-P14.1: DEEP NEURAL NETWORKS FOR ESTIMATING SPEECH MODEL ACTIVATIONS
Donald Williamson, Yuxuan Wang, DeLiang Wang, The Ohio State University, United States
SP-P14.2: REAL-TIME ROBUST FORMANT TRACKING SYSTEM USING A PHASE EQUALIZATION-BASED AUTOREGRESSIVE EXOGENOUS MODEL
Hiroki Oohashi, Sadao Hiroya, Takemi Mochida, NTT Corporation, Japan
SP-P14.4: FINDING LINE SPECTRAL FREQUENCIES USING THE FAST FOURIER TRANSFORM
Tom Bäckström, Friedrich-Alexander University (FAU), Germany; Christian Fischer Pedersen, Aarhus University, Denmark; Johannes Fischer, Friedrich-Alexander University (FAU), Germany; Grzegorz Pietrzyk, Fraunhofer IIS, Germany
SP-P14.5: ARITHMETIC CODING OF SPEECH AND AUDIO SPECTRA USING TCX BASED ON LINEAR PREDICTIVE SPECTRAL ENVELOPES
Tom Bäckström, Christian R. Helmrich, Friedrich-Alexander University (FAU), Germany
SP-P14.6: ANALYSIS OF SPEECH AND LANGUAGE COMMUNICATION FOR COCHLEAR IMPLANT USERS IN NOISY LOMBARD CONDITIONS
Jaewook Lee, Hussnain Ali, Ali Ziaei, John H.L. Hansen, The University of Texas at Dallas, United States
SP-P14.7: NOISE ROBUST ESTIMATION OF THE VOICE SOURCE USING A DEEP NEURAL NETWORK
Manu Airaksinen, Tuomo Raitio, Paavo Alku, Aalto University, Finland
SP-P14.8: A NOVEL SINUSOIDAL APPROACH TO AUDIO SIGNAL FRAME LOSS CONCEALMENT AND ITS APPLICATION IN THE NEW EVS CODEC STANDARD
Stefan Bruhn, Erik Norvell, Jonas Svedberg, Sigurdur Sverrisson, Ericsson AB, Sweden
SP-P14.9: DETECTING LATERALITY AND NASALITY IN SPEECH WITH THE USE OF A MULTI-CHANNEL RECORDER
Daniel Krol, Higher State Vocational School, Poland; Anita Lorenc, Radoslaw Swiecinski, Maria Curie-Sklodowska University, Poland
SP-P14.10: INTELLIGIBILITY EVALUATION OF SPEECH CODING STANDARDS IN SEVERE BACKGROUND NOISE AND PACKET LOSS CONDITIONS
Emma Jokinen, Aalto University, Finland; Jérémie Lecomte, Nadja Schinkel-Bielefeld, Fraunhofer IIS, Germany; Tom Bäckström, Friedrich-Alexander University (FAU), Germany
SP-P14.11: SUBJECTIVE QUALITY EVALUATION OF THE 3GPP EVS CODEC
Anssi Rämö, Henri Toukomaa, Nokia Technologies, Finland
SP-P15.1: AUTOMATIC PRONUNCIATION VERIFICATION FOR SPEECH RECOGNITION
Kanishka Rao, Fuchun Peng, Françoise Beaufays, Google Inc., United States
SP-P15.2: EXEMPLAR-BASED LARGE VOCABULARY SPEECH RECOGNITION USING K-NEAREST NEIGHBORS
Yanbo Xu, University of Maryland, College Park, United States; Olivier Siohan, David Simcha, Sanjiv Kumar, Hank Liao, Google Inc., United States
SP-P15.3: IMPROVED RECOGNITION OF CONTACT NAMES IN VOICE COMMANDS
Petar Aleksic, Cyril Allauzen, David Elson, Aleksandar Kracun, Diego Melendo Casado, Pedro J. Moreno, Google Inc., United States
SP-P15.4: INTEGRATED PRONUNCIATION LEARNING FOR AUTOMATIC SPEECH RECOGNITION USING PROBABILISTIC LEXICAL MODELING
Ramya Rasipuram, Marzieh Razavi, Mathew Magimai-Doss, Idiap Research Institute, Switzerland
SP-P15.5: ANNEALED DROPOUT TRAINED MAXOUT NETWORKS FOR IMPROVED LVCSR
Steven Rennie, Pierre Dognin, Xiaodong Cui, Vaibhava Goel, IBM Research, United States
SP-P15.6: UNICODE-BASED GRAPHEMIC SYSTEMS FOR LIMITED RESOURCE LANGUAGES
Mark Gales, Kate Mary Knill, Anton Ragni, University of Cambridge, United Kingdom
HLT-L1.1: LANGUAGE INDEPENDENT QUERY-BY-EXAMPLE SPOKEN TERM DETECTION USING N-BEST PHONE SEQUENCES AND PARTIAL MATCHING
Haihua Xu, Temasek Laboratories, Nanyang Technological University, Singapore; Peng Yang, School of Computer Science, Northwestern Polytechnical University, Xi’an, China, China; Xiong Xiao, Temasek Laboratories, Nanyang Technological University, Singapore; Lei Xie, School of Computer Science, Northwestern Polytechnical University, Xi’an, China, China; Cheung-Chi Leung, Institute for Infocomm Research, A-STAR, Singapore; Hongjie Chen, Jia Yu, Hang Lv, School of Computer Science, Northwestern Polytechnical University, Xi’an, China, China; Lei Wang, Institute for Infocomm Research, A-STAR, Singapore; Su Jun Leow, Temasek Laboratories, Nanyang Technological University, Singapore; Bin Ma, Institute for Infocomm Research, A-STAR, Singapore; Eng Siong Chng, School of Computer Engineering, Nanyang Technological University, Singapore; Haizhou Li, Institute for Infocomm Research, A-STAR, Singapore
HLT-L1.2: A KEYWORD-AWARE GRAMMAR FRAMEWORK FOR LVCSR-BASED SPOKEN KEYWORD SEARCH
I-Fan Chen, Georgia Institute of Technology, United States; Chongjia Ni, Boon Pang Lim, Nancy F. Chen, Institute for Infocomm Research, Singapore; Chin-Hui Lee, Georgia Institute of Technology, United States
HLT-L1.3: CONTENT-BASED RECOMMENDER SYSTEMS FOR SPOKEN DOCUMENTS
Jonathan Wintrode, Gregory Sell, Aren Jansen, Johns Hopkins University, United States; Michelle Fox, US Department of Defense, United States; Daniel Garcia-Romero, Alan McCree, Johns Hopkins University, United States
HLT-L1.4: LIBRISPEECH: AN ASR CORPUS BASED ON PUBLIC DOMAIN AUDIO BOOKS
Vassil Panayotov, Bulgaria, Bulgaria; Guoguo Chen, Daniel Povey, Sanjeev Khudanpur, Johns Hopkins University, United States
HLT-L1.5: I-VECTOR BASED LANGUAGE MODELING FOR QUERY REPRESENTATION
Kuan-Yu Chen, Hsin-Min Wang, Academia Sinica, Taiwan; Berlin Chen, National Taiwan Normal University, Taiwan; Hsin-His Chen, National Taiwan University, Taiwan
HLT-L1.6: DOUBLE-LAYER NEIGHBORHOOD GRAPH BASED SIMILARITY SEARCH FOR FAST QUERY-BY-EXAMPLE SPOKEN TERM DETECTION
Kazuo Aoyama, Atsunori Ogawa, Takashi Hattori, Takaaki Hori, NTT Corporation, Japan
HLT-L2.1: IMPROVING N-GRAM PROBABILITY ESTIMATES BY COMPOUND-HEAD CLUSTERING
Joris Pelemans, KU Leuven, Belgium; Demuynck Kris, UGent, Belgium; Hugo Van hamme, Patrick Wambacq, KU Leuven, Belgium
HLT-L2.2: QUALITY ESTIMATION FOR ASR K-BEST LIST RESCORING IN SPOKEN LANGUAGE TRANSLATION
Raymond W. M. Ng, Kashif Shah, Wilker Aziz, Lucia Specia, Thomas Hain, University of Sheffield, United Kingdom
HLT-L2.3: ENHANCING AUTOMATICALLY DISCOVERED MULTI-LEVEL ACOUSTIC PATTERNS CONSIDERING CONTEXT CONSISTENCY WITH APPLICATIONS IN SPOKEN TERM DETECTION
Cheng-Tao Chung, Wei-Ning Hsu, Cheng-Yi Lee, Lin-Shan Lee, National Taiwan University, Taiwan
HLT-L2.4: QUERY-BY-EXAMPLE KEYWORD SPOTTING USING LONG SHORT-TERM MEMORY NETWORKS
Guoguo Chen, Johns Hopkins University, United States; Carolina Parada, Tara Sainath, Google Inc., United States
HLT-L2.5: LOCALIZED ERROR DETECTION FOR TARGETED CLARIFICATION IN A VIRTUAL ASSISTANT
Svetlana Stoyanchev, Michael Johnston, Interactions Corporation, United States
HLT-L2.6: LONG SHORT-TERM MEMORY LANGUAGE MODELS WITH ADDITIVE MORPHOLOGICAL FEATURES FOR AUTOMATIC SPEECH RECOGNITION
Daniel Renshaw, University of Edinburgh, United Kingdom; Keith B. Hall, Google Inc., United States
HLT-L3.1: CHANNEL ADAPTATION OF PLDA FOR TEXT-INDEPENDENT SPEAKER VERIFICATION
Liping Chen, National Engineering Laboratory of Speech and Language Information Processing, University of Science and Technology of China, China; Kong-Aik Lee, Bin Ma, Institute for Infocomm Research, A*STAR, Singapore, Singapore; Wu Guo, National Engineering Laboratory of Speech and Language Information Processing, University of Science and Technology of China, China; Haizhou Li, Institute for Infocomm Research, A*STAR, Singapore, Singapore; Li-Rong Dai, National Engineering Laboratory of Speech and Language Information Processing, University of Science and Technology of China, China
HLT-L3.2: AUTOMATIC BROADCAST NEWS SUMMARIZATION VIA RANK CLASSIFIERS AND CROWDSOURCED ANNOTATION
Srinivas Parthasarathy, Taufiq Hasan, Robert Bosch LLC, United States
HLT-L3.3: FUSION OF SPEAKER AND LEXICAL INFORMATION FOR TOPIC SEGMENTATION: A CO-SEGMENTATION APPROACH
Delphine Charlet, Geraldine Damnati, Orange, France; Abdessalam Bouchekif, LIUM, France; Ameur Douib, Orange, France
HLT-L3.4: WORD-SEMANTIC LATTICES FOR SPOKEN LANGUAGE UNDERSTANDING
Jan Švec, Lubos Šmídl, Tomáš Valenta, Adam Chýlek, Ircing Pavel, University of West Bohemia, Czech Republic
HLT-L3.5: CONTEXTUAL SPOKEN LANGUAGE UNDERSTANDING USING RECURRENT NEURAL NETWORKS
Yangyang Shi, Kaisheng Yao, Hu Chen, Yi-Cheng Pan, Mei-Yuh Hwang, Baolin Peng, Microsoft Corporation, China
HLT-L3.6: A FACTORIZATION NETWORK BASED METHOD FOR MULTI-LINGUAL DOMAIN CLASSIFICATION
Yangyang Shi, Yi-Cheng Pan, Mei-Yuh Hwang, Kaisheng Yao, Hu Chen, Yuanhang Zou, Baolin Peng, Microsoft Corporation, China
HLT-P1.2: FULL-RANK LINEAR-CHAIN NEUROCRF FOR SEQUENCE LABELING
Marc-Antoine Rondeau, McGill University, Canada; Yi Su, Nuance Communications, Inc., Canada
HLT-P1.3: AFFECTIVE STRUCTURE MODELING OF SPEECH USING PROBABILISTIC CONTEXT FREE GRAMMAR FOR EMOTION RECOGNITION
Kun-Yi Huang, Jia-Kuan Lin, National Cheng Kung University, Taiwan; Yu-Hsien Chiu, Kaohsiung Medical University, Taiwan; Chung-Hsien Wu, National Cheng Kung University, Taiwan
HLT-P1.4: OOV PROPER NAME RETRIEVAL USING TOPIC AND LEXICAL CONTEXT MODELS
Imran Sheikh, Irina Illina, Université de Lorraine, France; Dominique Fohr, LORIA, France; Georges Linares, Université d’Avignon, France
HLT-P1.5: MULTIMODAL AROUSAL RATING USING UNSUPERVISED FUSION TECHNIQUE
Wei-Chen Chen, Po-Tsun Lai, National Tsing Hua University, Taiwan; Yu Tsao, Academia Sinica, Taiwan; Chi-Chun Lee, National Tsing Hua University, Taiwan
HLT-P1.6: LEVERAGING VALENCE AND ACTIVATION INFORMATION VIA MULTI-TASK LEARNING FOR CATEGORICAL EMOTION RECOGNITION
Rui Xia, Yang Liu, The University of Texas at Dallas, United States
HLT-P1.7: LARGE-SCALE WORD REPRESENTATION FEATURES FOR IMPROVED SPOKEN LANGUAGE UNDERSTANDING
Jun Zhang, Terry Yang, Timothy Hazen, Microsoft New England, United States
HLT-P1.8: PROBABILISTIC FEATURES FOR CONNECTING EYE GAZE TO SPOKEN LANGUAGE UNDERSTANDING
Anna Prokofieva, Columbia University, United States; Malcolm Slaney, Google Research, United States; Dilek Hakkani-Tur, Microsoft Research, United States
HLT-P1.9: ANNOTATING AND CATEGORIZING COMPETITION IN OVERLAP SPEECH
Shammur Absar Chowdhury, Morena Danieli, Giuseppe Riccardi, University of Trento, Italy
HLT-P1.10: ONLINE ADAPTATIVE ZERO-SHOT LEARNING SPOKEN LANGUAGE UNDERSTANDING USING WORD-EMBEDDING
Emmanuel Ferreira, Bassam Jabaian, Fabrice Lefèvre, University of Avignon, France
HLT-P1.11: DOCUMENT-SPECIFIC CONTEXT PLSA LANGUAGE MODEL FOR SPEECH RECOGNITION
Md Akmal Haidar, Douglas O'Shaughnessy, Institut national de la recherche scientifique, University of Quebec, Canada
HLT-P2.1: ORDER-FREE SPOKEN TERM DETECTION
Lidia Mangu, George Saon, Michael Picheny, Brian Kingsbury, IBM, United States
HLT-P2.2: COMBINATION OF SEARCH TECHNIQUES FOR IMPROVED SPOTTING OF OOV KEYWORDS
Damianos Karakos, Richard Schwartz, Raytheon BBN Technologies, United States
HLT-P2.3: ENHANCING SPARSE VOICE ANNOTATION FOR SEMANTIC RETRIEVAL OF PERSONAL PHOTOS BY CONTINUOUS SPACE WORD REPRESENTATIONS
Yuan-Ming Liou, Graduate Institute of Communication Engineering, National Taiwan University, Taiwan; Hung-tsung Lu, Yi-sheng Fu, Winston H. Hsu, Graduate Institute of Computer Science and Information Engineering, National Taiwan University, Taiwan; Lin-shan Lee, Graduate Institute of Communication Engineering, National Taiwan University, Taiwan
HLT-P2.4: KNOWLEDGE GRAPH INFERENCE FOR SPOKEN DIALOG SYSTEMS
Yi Ma, The Ohio State University, United States; Paul Crook, Ruhi Sarikaya, Microsoft Corporation, United States; Eric Fosler-Lussier, The Ohio State University, United States
HLT-P2.5: AUTOMATIC ASSESSMENT OF ENGLISH LEARNER PRONUNCIATION USING DISCRIMINATIVE CLASSIFIERS
Mauro Nicolao, Amy V. Beeston, Thomas Hain, University of Sheffield, United Kingdom
HLT-P2.6: NEURAL NETWORK JOINT MODELING VIA CONTEXT-DEPENDENT PROJECTION
Yik-Cheung Tam, Yun Lei, SRI International, United States
HLT-P2.7: TOKENIZING FUNDAMENTAL FREQUENCY VARIATION FOR MANDARIN TONE ERROR DETECTION
Rong Tong, Nancy F. Chen, Boon Pang Lim, Bin Ma, Haizhou Li, Institute for Infocomm Research, Singapore
HLT-P2.8: LOW-RESOURCE KEYWORD SEARCH STRATEGIES FOR TAMIL
Nancy F. Chen, Chongjia Ni, Institute for Infocomm Research, Singapore; I-Fan Chen, Georgia Institute of Technology, United States; Sunil Sivadas, Institute for Infocomm Research, Singapore; Van Tung Pham, Haihua Xu, Xiong Xiao, Tze Siong Lau, Su Jun Leow, Nanyang Technological University, Singapore; Boon Pang Lim, Cheung-Chi Leung, Lei Wang, Institute for Infocomm Research, Singapore; Chin-Hui Lee, Georgia Institute of Technology, United States; Alvina Goh, Nanyang Technological University, Singapore; Eng Siong Chng, Georgia Institute of Technology, Singapore; Bin Ma, Haizhou Li, Institute for Infocomm Research, Singapore
HLT-P2.9: DISTRIBUTED DIALOGUE POLICIES FOR MULTI-DOMAIN STATISTICAL DIALOGUE MANAGEMENT
Milica Gasic, Dongho Kim, Pirros Tsiakoulis, Steve Young, University of Cambridge, United Kingdom
HLT-P2.10: AN INFORMATION-THEORETIC FRAMEWORK FOR AUTOMATED DISCOVERY OF PROSODIC CUES TO CONVERSATIONAL STRUCTURE
Kornel Laskowski, Carnegie Mellon University, United States; Anna Hjalmarsson, KTH Royal Institute of Technology, United States
HLT-P2.11: INVESTIGATION OF ENSEMBLE MODELS FOR SEQUENCE LEARNING
Asli Celikyilmaz, Microsoft Corporation, United States; Dilek Hakkani-Tur, Microsoft Research, United States
HLT-P3.1: DISCRIMINATIVE METHOD FOR RECURRENT NEURAL NETWORK LANGUAGE MODELS
Yuuki Tachioka, Mitsubishi Electric Corporation, Japan; Shinji Watanabe, Mitsubishi Electric Research Laboratories (MERL), United States
HLT-P3.2: SCALING RECURRENT NEURAL NETWORK LANGUAGE MODELS
Will Williams, Niranjani Prasad, David Mrva, Tom Ash, Tony Robinson, Cantab Research, United Kingdom
HLT-P3.3: RECURRENT NEURAL NETWORK LANGUAGE MODEL WITH STRUCTURED WORD EMBEDDINGS FOR SPEECH RECOGNITION
Tianxing He, Xu Xiang, Yanmin Qian, Kai Yu, Shanghai Jiao Tong University, China
HLT-P3.4: IMPROVING THE TRAINING AND EVALUATION EFFICIENCY OF RECURRENT NEURAL NETWORK LANGUAGE MODELS
Xie Chen, Xunying Liu, Mark Gales, Phil Woodland, University of Cambridge, United Kingdom
HLT-P3.5: PARAPHRASTIC RECURRENT NEURAL NETWORK LANGUAGE MODELS
Xunying Liu, Xie Chen, Mark Gales, Phil Woodland, University of Cambridge, United Kingdom
HLT-P3.6: RECURRENT NEURAL NETWORK LANGUAGE MODEL TRAINING WITH NOISE CONTRASTIVE ESTIMATION FOR SPEECH RECOGNITION
Xie Chen, Xunying Liu, Mark Gales, Phil Woodland, University of Cambridge, United Kingdom
HLT-P3.7: UNNORMALIZED EXPONENTIAL AND NEURAL NETWORK LANGUAGE MODELS
Abhinav Sethy, Stanley F. Chen, Ebru Arisoy, Bhuvana Ramabhadran, IBM, United States
HLT-P3.8: BIDIRECTIONAL RECURRENT NEURAL NETWORK LANGUAGE MODELS FOR AUTOMATIC SPEECH RECOGNITION
Ebru Arisoy, IBM Turkey, Turkey; Abhinav Sethy, Bhuvana Ramabhadran, Stanley F. Chen, IBM T.J. Watson Research Center, United States
HLT-P3.9: TOKEN-LEVEL INTERPOLATION FOR CLASS-BASED LANGUAGE MODELS
Michael Levit, Andreas Stolcke, Shuangyu Chang, Sarangarajan Parthasarathy, Microsoft Corporation, United States
HLT-P3.10: LANGUAGE MODEL ADAPTATION FOR ACADEMIC LECTURES USING CHARACTER RECOGNITION RESULT OF PRESENTATION SLIDES
Yuya Akita, Yizheng Tong, Tatsuya Kawahara, Kyoto University, Japan
BD-L1.1: ITERATIVE RANDOMIZED ROBUST LINEAR REGRESSION
Yannis Kopsinis, Symeon Chouvardas, Sergios Theodoridis, University of Athens, Greece
BD-L1.2: FAST EFFICIENT AND SCALABLE CORE CONSISTENCY DIAGNOSTIC FOR THE PARAFAC DECOMPOSITION FOR BIG SPARSE TENSORS
Evangelos Papalexakis, Christos Faloutsos, Carnegie Mellon University, United States
BD-L1.3: LEARNING SHARED RANKINGS FROM MIXTURES OF NOISY PAIRWISE COMPARISONS
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama, Boston University, United States
BD-L1.4: INFORMATION EXTRACTION FROM LARGE MULTI-LAYER SOCIAL NETWORKS
Brandon Oselio, Alex Kulesza, Alfred O. Hero III, University of Michigan, United States
BD-L1.5: TOTAL GENERALIZED VARIATION FOR GRAPH SIGNALS
Shunsuke Ono, Isao Yamada, Itsuo Kumazawa, Tokyo Institute of Technology, Japan
BD-L1.6: ASYMPTOTIC JUSTIFICATION OF BANDLIMITED INTERPOLATION OF GRAPH SIGNALS FOR SEMI-SUPERVISED LEARNING
Aamir Anis, Aly El Gamal, Salman Avestimehr, Antonio Ortega, University of Southern California, United States
BD-P1.1: COMPRESSIVE GRAPH CLUSTERING FROM RANDOM SKETCHES
Yuejie Chi, The Ohio State University, United States
BD-P1.2: COVARIANCE TRACKING FROM SKETCHES OF RAPID DATA STREAMS
Yiran Jiang, Yuejie Chi, The Ohio State University, United States
BD-P1.3: ADAPTIVE CENSORING FOR LARGE-SCALE REGRESSION
Dimitris Berberidis, Vassilis Kekatos, University of Minnesota, United States; Gang Wang, Beijing Institute of Technology, China; Georgios Giannakis, University of Minnesota, United States
BD-P1.5: ESTIMATING LINK-DEPENDENT ORIGIN-DESTINATION MATRICES FROM SAMPLE TRAJECTORIES AND TRAFFIC COUNTS
Gabriel Michau, Queensland University of Technology, Australia; Pierre Borgnat, Nelly Pustelnik, Patrice Abry, ENS de Lyon, France; Alfredo Nantes, Edward Chung, Queensland University of Technology, Australia
BD-P1.6: DYNAMIC ZERO-POINT ATTRACTING PROJECTION FOR TIME-VARYING SPARSE SIGNAL RECOVERY
Jiawei Zhou, Laming Chen, Yuantao Gu, Tsinghua University, China
BD-P1.7: ONLINE LOCAL GAUSSIAN PROCESS FOR TENSOR-VARIATE REGRESSION: APPLICATION TO FAST RECONSTRUCTION OF LIMB MOVEMENTS FROM BRAIN SIGNAL
Ming Hou, Yali Wang, Brahim Chaib-Draa, Laval university, Canada
BD-P1.8: SIGNAL PROCESSING ON GRAPHS: ESTIMATING THE STRUCTURE OF A GRAPH
Jonathan Mei, José M.F. Moura, Carnegie Mellon University, United States
BD-P1.9: DISTRIBUTED KERNEL LEARNING USING KERNEL RECURSIVE LEAST SQUARES
Nicholas Fraser, Duncan Moss, Nicolas Epain, Philip Leong, The University of Sydney, Australia
BD-P1.10: PARALLELIZABLE PARAFAC DECOMPOSITION OF 3-WAY TENSORS
Viet-Dung Nguyen, Karim Abed-Meraim, University of Orléans, France; Linh-Trung Nguyen, VNU University of Engineering and Technology, Viet Nam
IOT-L1.1: REAL-TIME SELF-TRACKING IN THE INTERNET OF THINGS
Li Geng, Monica Bugallo, Akshay Athalye, Petar Djuric, Stony Brook University, United States
IOT-L1.2: ADAPTIVE SENSOR DATA COMPRESSION IN IOT SYSTEMS: SENSOR DATA ANALYTICS BASED APPROACH
Arijit Ukil, Soma Bandyopadhyay, Aniruddha Sinha, Arpan Pal, Tata Consultancy Services, India
IOT-L1.3: A CROSSTALK-BASED LINEAR FILTER IN BIOCHEMICAL SIGNAL TRANSDUCTION PATHWAYS FOR THE INTERNET OF BIO-THINGS
Massimiliano Laddomada, Texas A&M University at Texarkana, United States; Massimiliano Pierobon, University of Nebraska-Lincoln, United States
IOT-L1.4: ML ESTIMATION OF POPULATION SIZE WHEN OBSERVING MULTIPLE FILL LEVELS IN SLOTTED ALOHA
Markus Rupp, TU Wien, Austria; Maria Victoria Bueno-Delgado, Univ. Politecnica de Cartagena, Spain; Christoph Angerer, Stefan Schwarz, TU Wien, Austria
IOT-L1.5: RANDOM PROJECTION AND MULTISCALE WAVELET LEADER BASED ANOMALY DETECTION AND ADDRESS IDENTIFICATION IN INTERNET TRAFFIC
Romain Fontugne, National Institute of Informatics, Japan; Patrice Abry, CNRS, Ecole Normale Superieure de Lyon, France; Kensuke Fukuda, National Institute of Informatics, Japan; Pierre Borgnat, CNRS, Ecole Normale Superieure de Lyon, France; Johan Mazel, National Institute of Informatics, Japan; Herwig Wendt, CNRS, Institut de Recherche en Informatique de Toulouse, France; Darryl Veitch, University of Melbourne, Austria
IOT-L1.6: TIME-SWITCHING BASED SWPIT FOR NETWORK-CODED TWO-WAY RELAY TRANSMISSION WITH DATA RATE FAIRNESS
Ke Xiong, Beijing Jiaotong University, China; Pingyi Fan, Tsinghua University, China; Khaled Ben Letaief, Hong Kong University of Science and Technology, Hong Kong SAR of China
ED-P1.1: AN OUTREACH AFTER-SCHOOL PROGRAM TO INTRODUCE HIGH-SCHOOL STUDENTS TO ELECTRICAL ENGINEERING
Monica Bugallo, Angela Kelly, Stony Brook University, United States
ED-P1.2: ETUTOR: ONLINE LEARNING FOR PERSONALIZED EDUCATION
Cem Tekin, Bilkent University, Turkey; Jonas Braun, Graduate Student/ UCLA, United States; Mihaela van der Schaar, University of California, Los Angeles, United States
ED-P1.3: AUDIO MODELING AND LOUDNESS ESTIMATION WITH IJDSP MOBILE SIMULATIONS
Girish Kalyanasundaram, Arizona State University, United States; Mahesh Banavar, Clarkson University, United States; Andreas Spanias, Arizona State University, United States
SS-L1.1: COMPUTING MULTISTATIC PASSIVE RADAR CFAR THRESHOLDS FROM SURVEILLANCE-ONLY DATA
Konstanty Bialkowski, Vaughan Clarkson, The University of Queensland, Australia
SS-L1.2: SIGNAL PROCESSING CONSIDERATIONS FOR PASSIVE RADAR WITH A SINGLE RECEIVER
Stephen Searle, Linda M. Davis, University of South Australia, Australia; James Palmer, Defence Science and Technology Organisation, Australia
SS-L1.3: INDOOR TARGET TRACKING USING HIGH DOPPLER RESOLUTION PASSIVE WI-FI RADAR
Qingchao Chen, Bo Tan, Karl Woodbridge, Kevin Chetty, University College London, United Kingdom
SS-L1.4: GLRT DETECTION WITH UNKNOWN NOISE POWER IN PASSIVE MULTISTATIC RADAR
Jun Liu, Hongbin Li, Stevens Insitute of Technology, United States; Braham Himed, Air Force Research Laboratory, United States
SS-L1.5: A SIGNAL PROCESSING SCHEME FOR A MULTICHANNEL PASSIVE RADAR SYSTEM
James Palmer, Defence Science and Technology Organisation, Australia
SS-L1.6: DETECTION AIDED MULTISTATIC VELOCITY BACKPROJECTION FOR PASSIVE RADAR
Tegan Webster, Thomas Higgins, Naval Research Laboratory, United States
SS-L2.1: DESTINATION INFERENCE USING BRIDGING DISTRIBUTIONS
Bashar I. Ahmad, James Murphy, Patrick Langdon, University of Cambridge, United Kingdom; Robert Hardy, Jaguar Land Rover, United Kingdom; Simon Godsill, University of Cambridge, United Kingdom
SS-L2.2: EFFICIENT DETECTION AND LOCALIZATION ON GRAPH STRUCTURED DATA
Manjesh Hanawal, Venkatesh Saligrama, Boston University, United States
SS-L2.3: UNIVERSAL OUTLIER HYPOTHESIS TESTING: APPLICATION TO ANOMALY DETECTION
Yun Li, University of Illinois at Urbana-Champaign, United States; Sirin Nitinawarat, Qualcomm Technologies, Inc., United States; Yu Su, Venugopal Veeravalli, University of Illinois at Urbana-Champaign, United States
SS-L2.4: META-LEVEL TRACKING FOR GESTURAL INTENT RECOGNITION
Mustafa Fanaswala, Vikram Krishnamurthy, University of British Columbia, Canada
SS-L2.5: PATTERN BASED ANOMALOUS USER DETECTION IN COGNITIVE RADIO NETWORKS
Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami, University of Melbourne, Australia
SS-L3.1: ROBOT AUDITION: ITS RISE AND PERSPECTIVES
Hiroshi G. Okuno, Waseda University, Japan; Kazuhiro Nakadai, Honda Research Institute Japan, Co. Ltd./Tokyo Institute of Technology, Japan
SS-L3.2: MULTI-CHANNEL SPEAKER LOCALIZATION AND SEPARATION USING A MODEL-BASED GSC AND AN INERTIAL MEASUREMENT UNIT
Mehdi Zohourian, Alan Archer-Boyd, Rainer Martin, Ruhr-Universität Bochum, Germany
SS-L3.3: A THREE-STAGE FRAMEWORK TO ACTIVE SOURCE LOCALIZATION FROM A BINAURAL HEAD
Gabriel Bustamante, Alban Portello, Patrick Danes, LAAS-CNRS & Univ Toulouse III Paul Sabatier, France
SS-L3.4: ENHANCED ROBOT AUDITION BY DYNAMIC ACOUSTIC SENSING IN MOVING HUMANOIDS
Vladimir Tourbabin, Ben-Gurion University of the Negev, Israel; Hendrik Barfuss, University of Erlangen-Nuremberg, Germany; Boaz Rafaely, Ben-Gurion University of the Negev, Israel; Walter Kellermann, University of Erlangen-Nuremberg, Germany
SS-L3.5: AUDIO SOURCE LOCALIZATION BY OPTIMAL CONTROL OF A MOBILE ROBOT
Emmanuel Vincent, Aghilas Sini, François Charpillet, INRIA, France
SS-L3.6: MICBOTS: COLLECTING LARGE REALISTIC DATASETS FOR SPEECH AND AUDIO RESEARCH USING MOBILE ROBOTS
Jonathan Le Roux, Mitsubishi Electric Research Laboratories (MERL), United States; Emmanuel Vincent, INRIA, France; John R. Hershey, Mitsubishi Electric Research Laboratories (MERL), United States; Daniel P.W. Ellis, Columbia University, United States
SS-L4.1: AN OVERVIEW OF THE SKA PROJECT: WHY TAKE ON THIS SIGNAL PROCESSING CHALLENGE?
Steven Tingay, Curtin University, Australia
SS-L4.2: FROM ANTENNAS TO MULTI-DIMENSIONAL DATA CUBES: THE SKA DATA PATH
Andreas Wicenec, UWA, Australia
SS-L4.3: SKA CORRELATORS AND BEAMFORMERS
John Bunton, CSIRO, Australia
SS-L4.4: COLLABORATIVE RANDOMIZED BEAMFORMING FOR PHASED ARRAY RADIO INTERFEROMETERS
Orhan Ocal, Paul Hurley, Giovanni Cherubini, Sanaz Kazemi, IBM Zurich Research Laboratory, United States
SS-L4.5: IMPACT OF STATION SIZE ON CALIBRATION OF SKA-LOW
Cathryn Trott, Curtin University, Australia
SS-L4.6: COMPUTATIONALLY EFFICIENT RADIO ASTRONOMICAL IMAGE FORMATION USING CONSTRAINED LEAST SQUARES AND AND THE MVDR BEAMFORMER
Millad Mouri-Sardarabadi, Delft University of Technology, Netherlands; Amir Leshem, Bar-Ilan University, Israel; Alle-Jan van der Veen, Delft University of Technology, Netherlands
SS-L5.1: AN ASYMPTOTIC LMPI TEST FOR CYCLOSTATIONARITY DETECTION WITH APPLICATION TO COGNITIVE RADIO
David Ramirez, Peter J. Schreier, University of Paderborn, Germany; Javier Via, Ignacio Santamaria, University of Cantabria, Spain; Louis L. Scharf, Colorado State University, United States
SS-L5.2: HIGHER-DIMENSIONAL COHERENCE OF SUBSPACES
Stephen D. Howard, Songsri Sirianunpiboon, Defence Science and Technology Organisation, Australia; Douglas Cochran, Arizona State University, United States
SS-L5.3: ASYMPTOTIC ANALYSIS OF LINEAR SPECTRAL STATISTICS OF THE SAMPLE COHERENCE MATRIX
Xavier Mestre, Centre Tecnològic de Telecomunicacions de Catalunya, Spain; Pascal Vallet, Institut Polytechnique de Bordeaux, France; Walid Hachem, CNRS, France
SS-L5.4: MODEL-ORDER SELECTION FOR ANALYZING CORRELATION BETWEEN TWO DATA SETS USING CCA WITH PCA PREPROCESSING
Nicholas Roseveare, Peter J. Schreier, Universität Paderborn, Germany
SS-L5.5: TYLER'S ESTIMATOR PERFORMANCE ANALYSIS
Ilya Soloveychik, Ami Wiesel, the Hebrew University of Jerusalem, Israel
SS-L5.6: ROBUST ESTIMATION OF STRUCTURED COVARIANCE MATRIX FOR HEAVY-TAILED DISTRIBUTIONS
Ying Sun, Prabhu Babu, Daniel P. Palomar, The Hong Kong University of Science and Technology, Hong Kong SAR of China
SS-L6.1: OVERVIEW OF THE EVS CODEC ARCHITECTURE
Martin Dietz, Consultant for Fraunhofer Institute for Integrated Circuits (IIS), Germany; Markus Multrus, Fraunhofer Institute for Integrated Circuits IIS, Germany; Václav Eksler, Vladimir Malenovsky, Voiceage Corporation, Canada; Erik Norvell, Harald Pobloth, Ericsson AB, Sweden; Lei Miao, Zhe Wang, Huawei Technologies Co. Ltd., China; Lasse Laaksonen, Adriana Vasilache, Nokia Technologies, Finland; Yutaka Kamamoto, Nippon Telegraph and Telephone Corporation, Japan; Kei Kikuiri, NTT DOCOMO, INC., Japan; Stéphane Ragot, Julien Faure, Orange Labs, France; Hiroyuki Ehara, Panasonic, Japan; Vivek Rajendran, Venkatraman Atti, Qualcomm Technologies, Inc., United States; Hosang Sung, Eunmi Oh, Samsung Electronics Co., Ltd., Republic of Korea; Hao Yuan, Changbao Zhu, ZTE Corporation, China
SS-L6.2: STANDARDIZATION OF THE NEW 3GPP EVS CODEC
Stefan Bruhn, Harald Pobloth, Ericsson AB, Sweden; Markus Schnell, Bernhard Grill, Fraunhofer IIS, Germany; Jon Gibbs, Lei Miao, Huawei Technologies Co. Ltd., United Kingdom; Kari Järvinen, Lasse Laaksonen, Nokia, Finland; Noboru Harada, NTT Corporation, Japan; Nobuhiko Naka, NTT DOCOMO, INC., Japan; Stéphane Ragot, Stéphane Proust, Orange Labs, France; Takako Sanda, Panasonic, Japan; Imre Varga, Qualcomm, Germany; Craig Greer, Samsung, United States; Milan Jelínek, VoiceAge, Czech Republic; Minjie Xie, ZTE, United States; Paolo Usai, ETSI, France
SS-L6.3: PACKET-LOSS CONCEALMENT TECHNOLOGY ADVANCES IN EVS
Jérémie Lecomte, Fraunhofer IIS, Germany; Tommy Vaillancourt, VoiceAge Corp., Canada; Stefan Bruhn, Ericsson AB, Sweden; Hosang Sung, Samsung Electronics Co., Ltd., Democratic People's Republic of Korea; Ke Peng, ZTE Corporation, China; Kei Kikuiri, NTT DOCOMO, INC., Japan; Bin Wang, Huawei Technologies Co. Ltd., China; Shaminda Subasingha, Qualcomm Technologies, Inc., United States; Julien Faure, Orange Labs, France
SS-L6.4: IMPROVED ERROR RESILIENCE FOR VOLTE AND VOIP WITH 3GPP EVS CHANNEL AWARE CODING
Venkatraman Atti, Daniel Sinder, Shaminda Subasingha, Vivek Rajendran, Duminda Dewasurendra, Venkata Chebiyyam, Imre Varga, Venkatesh Krishnan, Qualcomm Technologies, Inc., United States; Benjamin Schubert, Jérémie Lecomte, Fraunhofer IIS, Germany; Xingtao Zhang, Lei Miao, Huawei Technologies Co. Ltd., China
SS-L6.5: TWO-STAGE SPEECH/MUSIC CLASSIFIER WITH DECISION SMOOTHING AND SHARPENING IN THE EVS CODEC
Vladimir Malenovsky, Tommy Vaillancourt, VoiceAge Corporation, Canada; Wang Zhe, Huawei Technologies Co. Ltd., China; KiHyun Choo, Samsung Electronics Co., Ltd., Democratic People's Republic of Korea; Venkatraman Atti, Qualcomm Incorporated, United States
SS-L6.6: LOW DELAY LPC AND MDCT-BASED AUDIO CODING IN THE EVS CODEC
Guillaume Fuchs, Fraunhofer IIS, Germany; Christian R. Helmrich, International Audio Laboratories Erlangen, Germany; Goran Markovic, Matthias Neusinger, Emmanuel Ravelli, Fraunhofer IIS, Germany; Takehiro Moriya, Nippon Telegraph and Telephone Corporation, Japan
SS-L7.1: ANALYSIS OF BEAMFORMER DIRECTED SINGLE-CHANNEL NOISE REDUCTION SYSTEM FOR HEARING AID APPLICATIONS
Jesper Jensen, Michael Syskind Pedersen, Oticon A/S, Denmark
SS-L7.2: INCORPORATING SPATIAL INFORMATION IN BINAURAL BEAMFORMING FOR NOISE SUPPRESSION IN HEARING AIDS
Wei-Cheng Liao, University of Minnesota, United States; Mingyi Hong, Iowa State Univeristy, United States; Ivo Merks, Tao Zhang, Starkey Hearing Technologies, United States; Zhi-Quan Luo, University of Minnesota, United States
SS-L7.3: INDIVIDUALIZING A MONAURAL BEAMFORMER FOR COCHLEAR IMPLANT USERS
Waldo Nogueira, Marta Lopez, Thilo Rode, Medical University Hannover, Germany; Simon Doclo, University of Oldenburg, Germany; Andreas Buechner, Medical University Hannover, Germany
SS-L7.4: SPEAKER CHANGE DETECTION AND SPEAKER DIARIZATION USING SPATIAL INFORMATION
Mathieu Hu, Imperial College London, United Kingdom; Dushyant Sharma, Nuance Communications, United Kingdom; Simon Doclo, Carl von Ossietzky Universität Oldenburg, Germany; Mike Brookes, Patrick A. Naylor, Imperial College London, United Kingdom
SS-L7.5: SINGLE CHANNEL SPEECH ENHANCEMENT IN THE MODULATION DOMAIN: NEW INSIGHTS IN THE MODULATION CHANNEL SELECTION FRAMEWORK
Jesper B. Boldt, Andreas T. Bertelsen, Fredrik Gran, GN ReSound A/S, Denmark; Søren Jørgensen, Torsten Dau, Technical University of Denmark, Denmark
SS-L7.6: ASSISTIVE LISTENING HEADSETS FOR HIGH NOISE ENVIRONMENTS: PROTECTION AND COMMUNICATION
Sven Nordholm, Curtin University, Australia; Alan Davis, Sensear, Australia; Pei Chee Yong, Hai Huyen Dam, Curtin University, Australia
SS-L8.1: ALTERNATING DIFFUSION FOR COMMON MANIFOLD LEARNING WITH APPLICATION TO SLEEP STAGE ASSESSMENT
Roy Lederman, Yale University, United States; Ronen Talmon, Technion - Israel Institute of Technology, Israel; Hau-tieng Wu, University of Toronto, Canada; Yu-Lun Lo, Chang Gung University, Taiwan; Ronald Coifman, Yale University, United States
SS-L8.3: PARTICLE FILTERING WITH OBSERVATIONS IN A MANIFOLD
Salem Said, CNRS, Laboratoire IMS (UMR 5218), France; Jonathan H. Manton, University of Melbourne, Australia
SS-L8.4: IMAGE MASKING SCHEMES FOR LOCAL MANIFOLD LEARNING METHODS
Hamid Dadkhahi, Marco Duarte, University of Massachusetts Amherst, United States
SS-L8.5: A PERFORMANCE STUDY OF THE TANGENT DISTANCE METHOD IN TRANSFORMATION-INVARIANT IMAGE CLASSIFICATION
Elif Vural, INRIA, France; Pascal Frossard, École Polytechnique Fédérale de Lausanne, Switzerland
SS-L8.6: METRIC-CONSTRAINED KERNEL UNION OF SUBSPACES
Tong Wu, Waheed Bajwa, Rutgers University, United States
SS-L9.1: DISTRIBUTED ROBUST LABELING OF AUDIO SOURCES IN HETEROGENEOUS WIRELESS SENSOR NETWORKS
Symeon Chouvardas, University of Athens, Greece; Michael Muma, Khadidja Hamaidi, Technische Universität Darmstadt, Germany; Sergios Theodoridis, University of Athens, Greece; Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SS-L9.2: LEARNING BY WEAKLY-CONNECTED ADAPTIVE AGENTS
Bicheng Ying, Ali H. Sayed, University of California, Los Angeles, United States
SS-L9.3: COALITIONAL GAME THEORETIC APPROACH TO DISTRIBUTED ADAPTIVE PARAMETER ESTIMATION
Nikola Bogdanovic, Dimitris Ampeliotis, Kostas Berberidis, University of Patras & C.T.I RU-8, Greece
SS-L9.4: ENHANCING LOCAL - TRANSMITTING LESS - IMPROVING GLOBAL
Benjamin Bejar Haro, Martin Vetterli, LCAV - EPFL, Switzerland
SS-L9.5: A COOPERATIVE JAMMING PROTOCOL FOR PHYSICAL LAYER SECURITY IN WIRELESS NETWORKS
Nicholas Kolokotronis, University of Peloponnese, Greece; Kyriakos Fytrakis, Alexandros Katsiotis, Nicholas Kalouptsidis, National and Kapodistrian University of Athens, Greece
SS-L9.6: DISTRIBUTED SIGNAL ESTIMATION IN A WIRELESS SENSOR NETWORK WITH PARTIALLY-OVERLAPPING NODE-SPECIFIC INTERESTS OR SOURCE OBSERVABILITY
Jorge Plata-Chaves, Alexander Bertrand, Marc Moonen, KU Leuven, Belgium
SS-L10.1: LANGUAGE-RESOURCE INDEPENDENT SPEECH SEGMENTATION USING CUES FROM A SPECTROGRAM IMAGE
Su Jun Leow, Eng Siong Chng, Nanyang Technological University, Singapore; Chin-Hui Lee, Georgia Institute of Technology, United States
SS-L10.2: UNSUPERVISED NEURAL NETWORK BASED FEATURE EXTRACTION USING WEAK TOP-DOWN CONSTRAINTS
Herman Kamper, University of Edinburgh, United Kingdom; Micha Elsner, The Ohio State University, United States; Aren Jansen, Johns Hopkins University, United States; Sharon Goldwater, University of Edinburgh, United Kingdom
SS-L10.3: CROSS-LINGUAL LEXICAL LANGUAGE DISCOVERY FROM AUDIO DATA USING MULTIPLE TRANSLATIONS
Felix Stahlberg, Tim Schlippe, Karlsruhe Institute of Technology, Germany; Stephan Vogel, Qatar Computing Research Institute, Qatar; Tanja Schultz, Karlsruhe Institute of Technology, Germany
SS-L10.4: SEGMENTAL ACOUSTIC INDEXING FOR ZERO RESOURCE KEYWORD SEARCH
Keith Levin, Aren Jansen, Benjamin Van Durme, Johns Hopkins University, United States
SS-L10.5: QUESST2014: EVALUATING QUERY-BY-EXAMPLE SPEECH SEARCH IN A ZERO-RESOURCE SETTING WITH REAL-LIFE QUERIES
Xavier Anguera, Telefonica Research, Spain; Luis-Javier Rodriguez-Fuentes, University of the Basque Country UPV/EHU, Spain; Andi Buzo, University Politehnica of Bucharest, Romania; Florian Metze, Carnegie Mellon University, United States; Igor Szoke, Brno University, Czech Republic; Mikel Penagarikano, University of the Basque Country UPV/EHU, Spain
SS-L10.6: COPING WITH CHANNEL MISMATCH IN QUERY-BY-EXAMPLE - BUT QUESST 2014
Igor Szoke, Miroslav Skacel, Lukas Burget, Jan Cernocky, BUT Speech@FIT, Brno University of Technology, Czech Republic
SS-L11.1: IMAGE-GUIDED CUSTOMIZATION OF FREQUENCY-PLACE MAPPING IN COCHLEAR IMPLANTS
Hussnain Ali, The University of Texas at Dallas, United States; Jack Noble, Vanderbilt University, United States; René Gifford, Robert Labadie, Vanderbilt University Medical Center, United States; Benoit Dawant, Vanderbilt University, United States; John H.L. Hansen, Emily Tobey, The University of Texas at Dallas, United States
SS-L11.2: A HEARING MODEL TO ESTIMATE MANDARIN SPEECH INTELLIGIBILITY FOR THE HEARING IMPAIRED PATIENTS
Pei-Chun Tsai, Shih-Ting Lin, Wen-Chung Lee, Chung-Chien Hsu, Tai-Shih Chi, National Chiao Tung University, Taiwan; Chia-Fone Lee, Hualien Tzu Chi Hospital, Taiwan
SS-L11.3: PERCEPTUAL EFFECT OF REVERBERATION ON MULTI-MICROPHONE NOISE REDUCTION FOR COCHLEAR IMPLANTS
Adam Hersbach, Cochlear Ltd, Australia; David Grayden, University of Melbourne, Australia; James Fallon, Hugh McDermott, Bionics Institute, Australia
SS-L11.4: A PHYSIOLOGICAL CORRELATE OF ELECTROACOUSTIC PITCH MATCHING IN COCHLEAR IMPLANT USERS WITH RESIDUAL HEARING
Chin-Tuan Tan, New York University, School of Medicine, United States
SS-L11.5: A TEMPORAL LIMITS ENCODER FOR COCHLEAR IMPLANTS
Qinglin Meng, Nengheng Zheng, Xia Li, Shenzhen University, China
SS-L11.6: A DISCRIMINATIVE POST-FILTER FOR SPEECH ENHANCEMENT IN HEARING AIDS
Ying-Hui Lai, Syu-Siang Wang, Academia Sinica, Taiwan; Pei-Chun Li, Mackay Medical College, Taiwan; Yu Tsao, Academia Sinica, Taiwan
SS-P1.1: TEMPORAL TILE SHAPING FOR SPECTRAL GAP FILLING IN AUDIO TRANSFORM CODING IN EVS
Sascha Disch, Christian Neukam, Konstantin Schmidt, Fraunhofer IIS, Germany
SS-P1.2: FLEXIBLE SPECTRUM CODING IN THE 3GPP EVS CODEC
Adriana Vasilache, Anssi Rämö, Nokia, Finland; Hosang Sung, Samsung, Republic of Korea; Sangwon Kang, Jonghyeon Kim, Hanyang University, Republic of Korea; Eunmi Oh, Samsung, Republic of Korea
SS-P1.3: LOW BIT RATE HIGH-QUALITY MDCT AUDIO CODING OF THE 3GPP EVS STANDARD
Srikanth Nagisetty, Zongxian Liu, Panasonic R&D Center Singapore, Singapore; Takuya Kawashima, Panasonic System Networks R&D Lab, Japan; Hiroyuki Ehara, Panasonic Corporation, Japan; Xuan Zhou, Bin Wang, Zexin Liu, Lei Miao, Jon Gibbs, Huawei Technologies Co. Ltd., China; Lasse Laaksonen, Nokia Technologies, Finland; Venkatraman Atti, Vivek Rajendran, Venkatesh Krishnan, Qualcomm Technologies, Inc., United States; Hosang Sung, Kihyun Choo, Samsung Electronics Co., Ltd., Republic of Korea
SS-P1.4: LOW-COMPLEXITY AND ROBUST CODING MODE DECISION IN THE EVS CODER
Emmanuel Ravelli, Fraunhofer Institut für Integrierte Schaltungen, Germany; Christian R. Helmrich, International Audio Laboratories Erlangen, Germany; Guillaume Fuchs, Markus Multrus, Fraunhofer Institut für Integrierte Schaltungen, Germany
SS-P1.5: FREQUENCY-DOMAIN COMFORT NOISE GENERATION FOR DISCONTINUOUS TRANSMISSION IN EVS
Anthony Lombard, Stephan Wilde, Emmanuel Ravelli, Stefan Döhla, Guillaume Fuchs, Martin Dietz, Fraunhofer IIS, Germany
SS-P1.6: SESSION NEGOTIATION AND MEDIA ADAPTATION OF EVS IN VOICE OVER LTE
Kyunghun Jung, Kihyun Choo, Hosang Sung, Eunmi Oh, Holly Francois, Samsung Electronics Co., Ltd., Republic of Korea
SS-P1.7: LINEAR PREDICTION BASED COMFORT NOISE GENERATION IN THE EVS CODEC
Zhe Wang, Lei Miao, Jon Gibbs, Huawei Technologies Co. Ltd., China; Tomas Toftgård, Martin Sehlstedt, Stefan Bruhn, Ericsson AB, Sweden; Venkatraman Atti, Vivek Rajendran, Duminda Dewasurendra, Qualcomm Technologies, Inc., United States
SS-P1.8: NEW POST-PROCESSING TECHNIQUES FOR LOW BIT RATE CELP CODECS
Tommy Vaillancourt, University of Sherbrooke / VoiceAge Corporation, Canada; Redwan Salami, VoiceAge Corporation, Canada; Milan Jelínek, University of Sherbrooke / VoiceAge Corporation, Canada
SS-P2.1: ADVANCES IN LOW BITRATE TIME-FREQUENCY CODING
Tommy Vaillancourt, Vladimir Malenovsky, University of Sherbrooke / VoiceAge Corporation, Canada; Redwan Salami, VoiceAge Corporation, Canada; Zexin Liu, Lei Miao, Jon Gibbs, Huawei Technologies Co. Ltd., China; Milan Jelínek, University of Sherbrooke / VoiceAge Corporation, Canada
SS-P2.2: EFFICIENT HANDLING OF MODE SWITCHING AND SPEECH TRANSITIONS IN THE EVS CODEC
Václav Eksler, Milan Jelínek, VoiceAge Corporation/ University of Sherbrooke, Canada; Redwan Salami, VoiceAge Corporation, Canada
SS-P2.3: ENHANCED TIME DOMAIN PACKET LOSS CONCEALMENT IN SWITCHED SPEECH/AUDIO CODEC
Jérémie Lecomte, Adrian Tomasek, Goran Markovic, Michael Schnabel, Fraunhofer IIS, Germany; Kimitaka Tsutsumi, Kei Kikuiri, NTT DOCOMO, INC., Japan
SS-P2.4: SUPER-WIDEBAND BANDWIDTH EXTENSION FOR SPEECH IN THE 3GPP EVS CODEC
Venkatraman Atti, Venkatesh Krishnan, Duminda Dewasurendra, Venkata Chebiyyam, Shaminda Subasingha, Daniel Sinder, Vivek Rajendran, Imre Varga, Qualcomm Technologies, Inc., United States; Jon Gibbs, Lei Miao, Huawei Technologies Co. Ltd., United Kingdom; Volodya Grancharov, Harald Pobloth, Ericsson AB, Sweden
SS-P2.5: HARMONIC VECTOR QUANTIZATION
Volodya Grancharov, Sigurdur Sverrisson, Erik Norvell, Tomas Toftgård, Jonas Svedberg, Harald Pobloth, Ericsson AB, Sweden
SS-P2.6: MDCT AUDIO CODING WITH PULSE VECTOR QUANTIZERS
Jonas Svedberg, Volodya Grancharov, Sigurdur Sverrisson, Erik Norvell, Tomas Toftgård, Harald Pobloth, Stefan Bruhn, Ericsson Research, Ericsson AB, Sweden
SS-P3.1: PERIODIC NON-UNIFORM SAMPLING FOR FRI SIGNALS
Satish Mulleti, Chandra Sekhar Seelamantula, Indian Institute of Science, India
SS-P3.2: EXPLOITING FRI SIGNAL STRUCTURE FOR SUB-NYQUIST SAMPLING AND PROCESSING IN MEDICAL ULTRASOUND
Tanya Chernyakova, Yonina C. Eldar, The Technion, IIT, Israel
SS-P3.3: FEASIBILITY OF FRI-BASED SQUARE-WAVE RECONSTRUCTION WITH QUANTIZATION ERROR AND INTEGRATOR NOISE
Bryan He, California Institute of Technology, United States; Alexander Wein, Massachusetts Institute of Technology, United States; Lakshminarayan Srinivasan, Stanford University, United States
SS-P3.4: FRI SAMPLING AND RECONSTRUCTION OF ASYMMETRIC PULSES
Sudarshan Nagesh, Chandra Sekhar Seelamantula, Indian Institute of Science, India
SS-P3.5: SAMPLING SPHERICAL FINITE RATE OF INNOVATION SIGNALS
Ivan Dokmanic, École Polytechnique Fédérale de Lausanne, Switzerland; Yue M. Lu, Harvard University, United States
SS-P3.6: SPARSITY PATTERN RECOVERY USING FRI METHODS
Jon Oñativia, Imperial College London, United Kingdom; Yue M. Lu, Harvard University, United States; Pier Luigi Dragotti, Imperial College London, United Kingdom
SS-P3.7: NOISY CHANNEL DETECTION USING THE COMMON ANNIHILATOR WITH AN APPLICATION TO ELECTROCARDIOGRAMS
Amrish Nair, Pina Marziliano, Nanyang Technological University, Singapore
SS-P3.8: ANNIHILATION-DRIVEN LOCALISED IMAGE EDGE MODELS
Hanjie Pan, École Polytechnique Fédérale de Lausanne, Switzerland; Thierry Blu, The Chinese University of Hong Kong, Hong Kong SAR of China; Martin Vetterli, École Polytechnique Fédérale de Lausanne, Switzerland