AASP-L1.1: INFORMED SOURCE SEPARATION VIA COMPRESSIVE GRAPH SIGNAL SAMPLING
Gilles Puy, Alexey Ozerov, Ngoc Q.K. Duong, Patrick Pérez, Technicolor, France
AASP-L1.2: MOTION INFORMED AUDIO SOURCE SEPARATION
Sanjeel Parekh, Technicolor, France; Slim Essid, Télécom ParisTech, Universite Paris-Saclay, France; Alexey Ozerov, Ngoc Q.K. Duong, Patrick Perez, Technicolor, France; Gaël Richard, Télécom ParisTech, Universite Paris-Saclay, France
AASP-L1.3: SUPERVISED MONAURAL SOURCE SEPARATION BASED ON AUTOENCODERS
Keiichi Osako, Yuki Mitsufuji, Sony Corporation, Japan; Rita Singh, Bhiksha Raj, Carnegie Mellon University, United States
AASP-L1.4: AN EM ALGORITHM FOR JOINT SOURCE SEPARATION AND DIARISATION OF MULTICHANNEL CONVOLUTIVE SPEECH MIXTURES
Dionyssos Kounades-Bastian, Inria, France; Laurent Girin, Grenoble-INP, France; Xavier Alameda-Pineda, University of Trento, Italy; Sharon Gannot, Bar-Ilan University, Israel; Radu Horaud, Inria, France
AASP-L1.5: BLIND SOURCE SEPARATION BASED ON INDEPENDENT LOW-RANK MATRIX ANALYSIS WITH SPARSE REGULARIZATION FOR TIME-SERIES ACTIVITY
Yoshiki Mitsui, The University of Tokyo, Japan; Daichi Kitamura, SOKENDAI (The Graduate University for Advanced Studies), Japan; Shinnosuke Takamichi, The University of Tokyo, Japan; Nobutaka Ono, National Institute of Information, Japan; Hiroshi Saruwatari, The University of Tokyo, Japan
AASP-L1.6: MULTICHANNEL AUDIO SOURCE SEPARATION: VARIATIONAL INFERENCE OF TIME-FREQUENCY SOURCES FROM TIME-DOMAIN OBSERVATIONS
Simon Leglaive, Roland Badeau, Gaël Richard, LTCI, Télécom ParisTech, Université Paris-Saclay, France
AASP-L2.1: OVERLAPPING SOUND EVENT DETECTION WITH SUPERVISED NONNEGATIVE MATRIX FACTORIZATION
Victor Bisot, Slim Essid, Gaël Richard, Télécom ParisTech, France
AASP-L2.2: SUPERVISED GROUP NONNEGATIVE MATRIX FACTORISATION WITH SIMILARITY CONSTRAINTS AND APPLICATIONS TO SPEAKER IDENTIFICATION
Romain Serizel, Université de Lorraine, LORIA, UMR 7503, France; Victor Bisot, Slim Essid, Gaël Richard, LTCI, CNRS, Télécom ParisTech, Université Paris - Saclay, France
AASP-L2.3: TRACKING METRICAL STRUCTURE CHANGES WITH SPARSE-NMF
Elio Quinton, Ken O'Hanlon, Simon Dixon, Mark B. Sandler, Queen Mary University of London, United Kingdom
AASP-L2.4: DRUM EXTRACTION IN SINGLE CHANNEL AUDIO SIGNALS USING MULTI-LAYER NON NEGATIVE MATRIX FACTOR DECONVOLUTION
Clement Laroche, Télécom ParisTech, France; Helene Papadopoulos, CNRS-LSS, France; Matthieu Kowalski, Université Paris Sud / LSS, France; Gaël Richard, Télécom ParisTech, France
AASP-L2.5: INTERFERENCE REDUCTION IN MUSIC RECORDINGS COMBINING KERNEL ADDITIVE MODELLING AND NON-NEGATIVE MATRIX FACTORIZATION
Delia Fano Yela, Sebastian Ewert, Queen Mary University of London, United Kingdom; Derry Fitzgerald, Cork Institute of Technology, Ireland; Mark B. Sandler, Queen Mary University of London, United Kingdom
AASP-L2.6: COMPLEX NMF WITH THE GENERALIZED KULLBACK-LEIBLER DIVERGENCE
Hirokazu Kameoka, NTT Corporation, Japan; Hideaki Kagami, Masahiro Yukawa, Keio University, Japan
AASP-L3.1: DEEP CLUSTERING AND CONVENTIONAL NETWORKS FOR MUSIC SEPARATION: STRONGER TOGETHER
Yi Luo, Zhuo Chen, Columbia University, United States; John R. Hershey, Jonathan Le Roux, Mitsubishi Electric Research Laboratories, United States; Nima Mesgarani, Columbia University, United States
AASP-L3.2: DNN-BASED SPEECH MASK ESTIMATION FOR EIGENVECTOR BEAMFORMING
Lukas Pfeifenberger, Matthias Zöhrer, Franz Pernkopf, TU Graz, Austria
AASP-L3.3: RECURRENT DEEP STACKING NETWORKS FOR SUPERVISED SPEECH SEPARATION
Zhong-Qiu Wang, DeLiang Wang, The Ohio State University, United States
AASP-L3.4: COLLABORATIVE DEEP LEARNING FOR SPEECH ENHANCEMENT: A RUN-TIME MODEL SELECTION METHOD USING AUTOENCODERS
Minje Kim, Indiana University Bloomington, United States
AASP-L3.5: DNN-BASED SOURCE ENHANCEMENT SELF-OPTIMIZED BY REINFORCEMENT LEARNING USING SOUND QUALITY MEASUREMENTS
Yuma Koizumi, Kenta Niwa, NTT Corporation, Japan; Yusuke Hioka, University of Auckland, New Zealand; Kazunori Kobayashi, NTT Corporation, Japan; Yoichi Haneda, The University of Electro-Communications, Japan
AASP-L3.6: A NEURAL NETWORK ALTERNATIVE TO NON-NEGATIVE AUDIO MODELS
Paris Smaragdis, Shrikant Venkataramani, University of Illinois, United States
AASP-L4.1: ANALYTICAL APPROACH TO 2.5D SOUND FIELD CONTROL USING A CIRCULAR DOUBLE-LAYER ARRAY OF FIXED-DIRECTIVITY LOUDSPEAKERS
Takuma Okamoto, National Institute of Information and Communications Technology, Japan
AASP-L4.2: PERCEPTUAL EVALUATION OF A MULTIBAND ACOUSTIC CROSSTALK CANCELER USING A LINEAR LOUDSPEAKER ARRAY
Christoph Hohnerlein, Technical University of Berlin, Germany; Jens Ahrens, Chalmers University of Technology, Sweden
AASP-L4.3: SOUND FIELD ESTIMATION USING TWO SPHERICAL MICROPHONE ARRAYS
Satoru Emura, NTT Corporation, Japan
AASP-L4.4: TIME OF ARRIVAL DISAMBIGUATION USING THE LINEAR RADON TRANSFORM
Youssef El Baba, Friedrich-Alexander University, Germany; Andreas Walther, Fraunhofer Institute for Integrated Circuits, Germany; Emanuël Habets, Friedrich-Alexander University, Germany
AASP-L4.5: LISTENING-AREA-INFORMED SOUND FIELD REPRODUCTION BASED ON CIRCULAR HARMONIC EXPANSION
Natsuki Ueno, Shoichi Koyama, Hiroshi Saruwatari, The University of Tokyo, Japan
AASP-L4.6: ONLINE SECONDARY PATH MODELLING IN WAVE-DOMAIN ACTIVE NOISE CONTROL
Wen Zhang, The Australian National University, Australia; Christian Hofmann, Michael Büerger, Friedrich-Alexander University Erlangen-Nurnberg, Germany; Thushara Abhayapala, The Australian National University, Australia; Walter Kellermann, Friedrich-Alexander University Erlangen-Nurnberg, Germany
AASP-L5.1: DEEP RANKING: TRIPLET MATCHNET FOR MUSIC METRIC LEARNING
Rui Lu, Kailun Wu, Tsinghua University, China; Zhiyao Duan, University of Rochester, United States; Changshui Zhang, Tsinghua University, China
AASP-L5.2: A COMPARISON OF DEEP LEARNING METHODS FOR ENVIRONMENTAL SOUND DETECTION
Juncheng Li, Robert Bosch LLC, United States; Wei Dai, Florian Metze, Carnegie Mellon University, United States; Shuhui Qu, Stanford University, United States; Samarjit Das, Robert Bosch LLC, United States
AASP-L5.3: CNN ARCHITECTURES FOR LARGE-SCALE AUDIO CLASSIFICATION
Shawn Hershey, Sourish Chaudhuri, Daniel P. W. Ellis, Jort F. Gemmeke, Aren Jansen, Channing Moore, Manoj Plakal, Devin Platt, Rif A. Saurous, Bryan Seybold, Malcolm Slaney, Ron Weiss, Kevin Wilson, Google Inc., United States
AASP-L5.4: CNN-LTE: A CLASS OF 1-X POOLING CONVOLUTIONAL NEURAL NETWORKS ON LABEL TREE EMBEDDINGS FOR AUDIO SCENE CLASSIFICATION
Huy Phan, Philipp Koch, Lars Hertel, Marco Maass, Radoslaw Mazur, Alfred Mertins, University of Lübeck, Germany
AASP-L5.5: FUSING SHALLOW AND DEEP LEARNING FOR BIOACOUSTIC BIRD SPECIES CLASSIFICATION
Justin Salamon, Juan Pablo Bello, New York University, United States; Andrew Farnsworth, Steve Kelling, Cornell University, United States
AASP-L5.6: SIMULTANEOUS SEGMENTATION AND CLASSIFICATION OF BIRD SONG USING CNN
Revathy Narasimhan, Xiaoli Z. Fern, Raviv Raich, Oregon State University, United States
AASP-L6.1: DISTRIBUTED MAX-SINR SPEECH ENHANCEMENT WITH AD HOC MICROPHONE ARRAYS
Vincent Mohammad Tavakoli, Jesper Rindom Jensen, Aalborg University, Denmark; Richard Heusdens, Delft University of Technology, Netherlands; Jacob Benesty, University of Quebec, Canada; Mads Græsbøll Christensen, Aalborg University, Denmark
AASP-L6.2: MULTI-CHANNEL SIGNAL ENHANCEMENT WITH SPEECH AND NOISE COVARIANCE ESTIMATES COMPUTED BY A PROBABILISTIC LOCALIZATION MODEL
Jörn Anemüller, Hendrik Kayser, University of Oldenburg, Germany
AASP-L6.3: PHASE UNMIXING : MULTICHANNEL SOURCE SEPARATION WITH MAGNITUDE CONSTRAINTS
Antoine Deleforge, Yann Traonmilin, INRIA Rennes - Bretagne Atlantique, France
AASP-L6.4: DICTIONARY-BASED EQUIVALENT SOURCE METHOD FOR NEAR-FIELD ACOUSTIC HOLOGRAPHY
Antonio Canclini, Massimo Varini, Fabio Antonacci, Augusto Sarti, Politecnico di Milano, Italy
AASP-L6.5: OPTIMIZING NEURAL-NETWORK SUPPORTED ACOUSTIC BEAMFORMING BY ALGORITHMIC DIFFERENTIATION
Christoph Boeddeker, Patrick Hanebrink, Lukas Drude, Jahn Heymann, Reinhold Haeb-Umbach, Paderborn University, Germany
AASP-L6.6: INFINITE-DIMENSIONAL SVD FOR ANALYZING MICROPHONE ARRAY
Yuji Koyano, Kohei Yatabe, Yasuhiro Oikawa, Waseda University, Japan
AASP-L7.1: AN EVALUATION OF SCORE-INFORMED METHODS FOR ESTIMATING FUNDAMENTAL FREQUENCY AND POWER FROM POLYPHONIC AUDIO
Johanna Devaney, The Ohio State University, United States; Michael I Mandel, Brooklyn College, CUNY, United States
AASP-L7.2: ESTIMATION OF MULTIPLE PITCHES IN STEREOPHONIC MIXTURES USING A CODEBOOK-BASED APPROACH
Martin Weiss Hansen, Jesper Rindom Jensen, Mads Græsbøll Christensen, Aalborg University, Denmark
AASP-L7.3: PITCH CONTOUR TRACKING IN MUSIC USING HARMONIC LOCKED LOOPS
Rachel Bittner, New York University, United States; Avery Wang, Shazam Inc., United States; Juan Pablo Bello, New York University, United States
AASP-L7.4: DATA-DRIVEN SOLO VOICE ENHANCEMENT FOR JAZZ MUSIC RETRIEVAL
Stefan Balke, Christian Dittmar, International Audio Laboratories Erlangen, Germany; Jakob Abeßer, Fraunhofer Institute for Digital Media Technology IDMT, Germany; Meinard Mueller, International Audio Laboratories Erlangen, Germany
AASP-L7.5: DRUM TRANSCRIPTION FROM POLYPHONIC MUSIC WITH RECURRENT NEURAL NETWORKS
Richard Vogl, Matthias Dorfer, Johannes Kepler University, Austria; Peter Knees, Vienna University of Technology, Austria
AASP-L7.6: SEGMENTATION OF MUSIC SIGNALS BASED ON EXPLAINED VARIANCE RATIO FOR APPLICATIONS IN SPECTRAL COMPLEXITY REDUCTION
Ekaterina Krymova, Universität Duisburg-Essen, Germany; Anil Nagathil, Ruhr-Universität Bochum, Germany; Denis Belomestny, Universität Duisburg-Essen, Germany; Rainer Martin, Ruhr-Universität Bochum, Germany
AASP-L8.1: PROPORTIONATE NLMS FOR ADAPTIVE FEEDBACK CONTROL IN HEARING AIDS
Linh Tran, Curtin University, Australia; Henning Schepker, Simon Doclo, University of Oldenburg, Germany; Hai Huyen Dam, Sven Nordholm, Curtin University, Australia
AASP-L8.2: LOW-LATENCY REAL-TIME BLIND SOURCE SEPARATION FOR HEARING AIDS BASED ON TIME-DOMAIN IMPLEMENTATION OF ONLINE INDEPENDENT VECTOR ANALYSIS WITH TRUNCATION OF NON-CAUSAL COMPONENTS
Masahiro Sunohara, Chiho Haruta, RION CO.,LTD., Japan; Nobutaka Ono, National Institute of Informatics, Japan
AASP-L8.3: EVALUATION OF A COMPLEMENTARY HEARING AID FOR SPATIAL SOUND SEGREGATION
Luca Giuliani, Luca Brayda, Fondazione Istituto Italiano di Tecnologia, Italy; Sara Sansalone, Stefania Repetto, Michele Ricchetti, Linear s.r.l., Italy
AASP-L8.4: HEARING IN A SHOE-BOX : BINAURAL SOURCE POSITION AND WALL ABSORPTION ESTIMATION USING VIRTUALLY SUPERVISED LEARNING
Saurabh Kataria, Indian Institute of Technology Kanpur, India; Clément Gaultier, Antoine Deleforge, INRIA Rennes - Bretagne Atlantique, France
AASP-L8.5: ASSESSMENT OF BROADBAND SNR ESTIMATION FOR HEARING AID APPLICATIONS
Tobias May, Borys Kowalewski, Michal Fereczkowski, Ewen N. MacDonald, Technical University of Denmark, Denmark
AASP-L8.6: COMPARISON OF TWO BINAURAL BEAMFORMING APPROACHES FOR HEARING AIDS
Elior Hadad, Bar-Ilan University, Israel; Daniel Marquardt, University of Oldenburg, Germany; Wenqiang Pu, Xidian University, China; Sharon Gannot, Bar-Ilan University, Israel; Simon Doclo, University of Oldenburg, Germany; Zhi-Quan Luo, University of Minnesota, United States; Ivo Merks, Tao Zhang, Starkey Hearing Technologies, United States
AASP-P1.1: PERMUTATION INVARIANT TRAINING OF DEEP MODELS FOR SPEAKER-INDEPENDENT MULTI-TALKER SPEECH SEPARATION
Dong Yu, Microsoft Research, United States; Morten Kolbæk, Zheng-Hua Tan, Jesper Jensen, Aalborg University, Denmark
AASP-P1.2: DEEP ATTRACTOR NETWORK FOR SINGLE-MICROPHONE SPEAKER SEPARATION
Zhuo Chen, Yi Luo, Nima Mesgarani, Columbia University, United States
AASP-P1.3: DEEP MIXTURE DENSITY NETWORK FOR STATISTICAL MODEL-BASED FEATURE ENHANCEMENT
Keisuke Kinoshita, Marc Delcroix, Atsunori Ogawa, Takuya Higuchi, Tomohiro Nakatani, NTT Corporation, Japan
AASP-P1.4: IMPACT OF LOW-PRECISION DEEP REGRESSION NETWORKS ON SINGLE-CHANNEL SOURCE SEPARATION
Enea Ceolini, Shih-Chii Liu, University Zürich, ETH Zürich, Switzerland
AASP-P1.5: IMPROVING MUSIC SOURCE SEPARATION BASED ON DEEP NEURAL NETWORKS THROUGH DATA AUGMENTATION AND NETWORK BLENDING
Stefan Uhlich, Marcello Porcu, Franck Giron, Michael Enenkl, Thomas Kemp, Sony Europe Limited, Germany; Naoya Takahashi, Yuki Mitsufuji, Sony Corporation, Germany
AASP-P1.6: SUPERVISED SOURCE ENHANCEMENT COMPOSED OF NONNEGATIVE AUTO-ENCODERS AND COMPLEMENTARITY SUBTRACTION
Kenta Niwa, Yuma Koizumi, Tomoko Kawase, Kazunori Kobayashi, NTT Corporation, Japan; Yusuke Hioka, The University of Auckland, New Zealand
AASP-P1.7: DEEP LONG SHORT-TERM MEMORY ADAPTIVE BEAMFORMING NETWORKS FOR MULTICHANNEL ROBUST SPEECH RECOGNITION
Zhong Meng, Georgia Institute of Technology, United States; Shinji Watanabe, John R. Hershey, Mitsubishi Electric Research Laboratories, United States; Hakan Erdogan, Microsoft Research, United States
AASP-P1.8: A SPEECH ENHANCEMENT ALGORITHM BY ITERATING SINGLE- AND MULTI-MICROPHONE PROCESSING AND ITS APPLICATION TO ROBUST ASR
Xueliang Zhang, Inner Mongolia University, China; Zhong-Qiu Wang, DeLiang Wang, The Ohio State University, United States
AASP-P1.9: FULLY COMPLEX DEEP NEURAL NETWORK FOR PHASE-INCORPORATING MONAURAL SOURCE SEPARATION
Yuan-Shan Lee, Chien-Yao Wang, Shu-Fan Wang, Jia-Ching Wang, National Central University, Taiwan; Chung-Hsien Wu, National Cheng Kung University, Taiwan
AASP-P1.10: INTEGRATING DNN-BASED AND SPATIAL CLUSTERING-BASED MASK ESTIMATION FOR ROBUST MVDR BEAMFORMING
Tomohiro Nakatani, Nobutaka Ito, Takuya Higuchi, Shoko Araki, Keisuke Kinoshita, NTT Corporation, Japan
AASP-P2.1: POLYPHONIC PIANO NOTE TRANSCRIPTION WITH NON-NEGATIVE MATRIX FACTORIZATION OF DIFFERENTIAL SPECTROGRAM
Lufei Gao, The Chinese University of Hong Kong, Hong Kong SAR of China; Li Su, Yi-Hsuan Yang, Academia Sinica, Taiwan; Tan Lee, The Chinese University of Hong Kong, Hong Kong SAR of China
AASP-P2.2: FUSING TRANSCRIPTION RESULTS FROM POLYPHONIC AND MONOPHONIC AUDIO FOR SINGING MELODY TRANSCRIPTION IN POLYPHONIC MUSIC
Bilei Zhu, Fuzhang Wu, Ke Li, Yongjian Wu, Feiyue Huang, Yunsheng Wu, Tencent Youtu AI Lab, China
AASP-P2.3: PROBABILISTIC TRANSCRIPTION OF SUNG MELODY USING A PITCH DYNAMIC MODEL
Luwei Yang, Queen Mary University of London, United Kingdom; Akira Maezawa, Yamaha Corporation, Japan; Jordan B. L. Smith, National Institute of Advanced Industrial Science and Technology, Japan; Elaine Chew, Queen Mary University of London, United Kingdom
AASP-P2.4: IMPROVED TEMPLATE BASED CHORD RECOGNITION USING THE CRP FEATURE
Ken O'Hanlon, Sebastian Ewert, Johan Pauwels, Mark B. Sandler, Queen Mary University of London, United Kingdom
AASP-P2.5: MULTI-PITCH STREAMING OF INTERWOVEN STREAMS
Chih-Yi Kuan, National Central University, Taiwan; Li Su, Academia Sinica, Taiwan; Yu-Hao Chin, Jia-Ching Wang, National Central University, Taiwan
AASP-P2.6: AUTOMATIC MUSICAL KEY ESTIMATION WITH ADAPTIVE MODE BIAS
Gilberto Bernardes, Matthew Davies, INESC TEC, Portugal; Carlos Guedes, New York University Abu-Dhabi & INESC TEC, United Arab Emirates
AASP-P2.7: A REASSIGNED BASED SINGING VOICE PITCH CONTOUR EXTRACTION METHOD
Georgina Tryfou, Maurizio Omologo, Fondazione Bruno Kessler, Italy
AASP-P2.8: LYRIC RECOGNITION IN MONOPHONIC SINGING USING PITCH-DEPENDENT DNN
Dairoku Kawai, Kazumasa Yamamoto, Seiichi Nakagawa, Toyohashi University of Technology, Japan
AASP-P2.9: USING OPTIMAL TRANSPORT FOR ESTIMATING INHARMONIC PITCH SIGNALS
Filip Elvander, Stefan Ingi Adalbjörnsson, Lund University, Sweden; Johan Karlsson, Royal Institute of Technology, Sweden; Andreas Jakobsson, Lund University, Sweden
AASP-P2.10: A NOVEL PITCH EXTRACTION BASED ON JOINTLY TRAINED DEEP BLSTM RECURRENT NEURAL NETWORKS WITH BOTTLENECK FEATURES
Bin Liu, Jianhua Tao, Dawei Zhang, Yibin Zheng, CASIA, China
AASP-P3.1: NULL-STEERING BEAMFORMER FOR ACOUSTIC FEEDBACK CANCELLATION IN A MULTI-MICROPHONE EARPIECE OPTIMIZING THE MAXIMUM STABLE GAIN
Henning Schepker, University of Oldenburg, Germany; Linh T. T. Tran, Sven Nordholm, Curtin University, Australia; Simon Doclo, University of Oldenburg, Australia
AASP-P3.2: A FEATURE-BASED LINEAR REGRESSION MODEL FOR PREDICTING PERCEPTUAL RATINGS OF MUSIC BY COCHLEAR IMPLANT LISTENERS
Anil Nagathil, Jan-Willem Schlattmann, Katrin Neumann, Rainer Martin, Ruhr-Universität Bochum, Germany
AASP-P3.3: BLIND ESTIMATION OF DIRECTIONAL PROPERTIES OF ROOM REVERBERATION USING A SPHERICAL MICROPHONE ARRAY
Prasanga Samarasinghe, Thushara Abhayapala, Australian National University, Australia
AASP-P3.4: HIGH PRECISION ROBUST MODELING OF LONG ROOM RESPONSES USING WAVELET TRANSFORM
Sahar Hashemgeloogerdi, Mark Bocko, University of Rochester, United States
AASP-P3.5: INFRASONIC SCENE FINGERPRINTING FOR AUTHENTICATING SPEAKER LOCATION
Kenji Aono, Shantanu Chakrabartty, Washington University in St. Louis, United States; Toshihiko Yamasaki, The University of Tokyo, Japan
AASP-P3.6: GREEDY ALTERNATIVE FOR ROOM GEOMETRY ESTIMATION FROM ACOUSTIC ECHOES: A SUBSPACE-BASED METHOD
Mario Coutino, Delft University of Technology, Netherlands; Martin Bo Møller, Bang & Olufsen A/S, Denmark; Jesper Kjær Nielsen, Aalborg University, Denmark; Richard Heusdens, Delft University of Technology, Netherlands
AASP-P3.7: NON-INVASIVE GEARBOX FAULT DIAGNOSIS USING SCATTERING TRANSFORM OF ACOUSTIC EMISSION
Mehrdad Heydarzadeh, Mehrdad Nournai, John H.L. Hansen, The University of Texas at Dallas, United States; Shahin Hedayati Kia, University of Picardie Jules Verne, France
AASP-P3.8: DETECTION OF ANOMALY ACOUSTIC SCENES BASED ON A TEMPORAL DISSIMILARITY MODEL
Tatsuya Komatsu, Reishi Kondo, NEC Corporation, Japan
AASP-P3.9: MEASURING, MODELLING AND PREDICTING PERCEIVED REVERBERATION
Hamza Javed, Imperial College London, United Kingdom; Benjamin Cauchi, Fraunhofer IDMT, Germany; Simon Doclo, University of Oldenburg, Germany; Patrick Naylor, Imperial College London, United Kingdom; Stefan Goetze, Fraunhofer IDMT, Germany
AASP-P3.10: PITCH-BASED NON-INTRUSIVE OBJECTIVE INTELLIGIBILITY PREDICTION
Charlotte Sørensen, GN Hearing A/S & Aalborg University, Denmark; Angeliki Xenaki, Jesper Bünsow Boldt, GN Hearing A/S, Denmark; Mads Græsbøll Christensen, Aalborg University, Denmark
AASP-P4.1: TOWARDS EXPRESSIVE INSTRUMENT SYNTHESIS THROUGH SMOOTH FRAME-BY-FRAME RECONSTRUCTION: FROM STRING TO WOODWIND
Sanna Wager, Liang Chen, Minje Kim, Christopher Raphael, Indiana University Bloomington, United States
AASP-P4.2: USER ASSISTED SEPARATION OF REPEATING PATTERNS IN TIME AND FREQUENCY USING MAGNITUDE PROJECTIONS
Derry FitzGerald, Cork Institute of Technology, Ireland; Zafar Rafii, Gracenote, United States; Antoine Liutkus, Inria, France
AASP-P4.3: A DYNAMIC PROGRAMMING APPROACH FOR AUTOMATIC STRIDE DETECTION AND SEGMENTATION IN ACOUSTIC EMISSION FROM THE KNEE
Costas Yiallourides, Victoria Manning-Eid, Alastair H. Moore, Patrick A. Naylor, Imperial College London, United Kingdom
AASP-P4.4: ULTRASOUND BASED GESTURE RECOGNITION
Amit Das, University of Illinois, United States; Ivan J. Tashev, Shoaib Mohammed, Microsoft Research, United States
AASP-P4.5: AUTOMATIC CONVERSION OF POP MUSIC INTO CHIPTUNES FOR 8-BIT PIXEL ART
Shih-Yang Su, Cheng-Kai Chiu, National Tsing Hua University, Taiwan; Li Su, Yi-Hsuan Yang, Research Center for Information Technology Innovation, Academia Sinica, Taiwan, Taiwan
AASP-P4.6: FAST HARMONIC CHIRP SUMMATION
Jesper Kjær Nielsen, Aalborg University and Bang & Olufsen, Denmark; Tobias Lindstrøm Jensen, Jesper Rindom Jensen, Mads Græsbøll Christensen, Søren Holdt Jensen, Aalborg University, Denmark
AASP-P4.7: VERY DEEP CONVOLUTIONAL NEURAL NETWORKS FOR RAW WAVEFORMS
Wei Dai, Chia Dai, Carnegie Mellon University, United States; Shuhui Qu, Stanford University, United States; Juncheng Li, Samarjit Das, Bosch, United States
AASP-P4.8: TARGET DETECTON AND TRACKING VIA STRUCTURED CONVEX OPTIMIZATION
Fengxiang Ge, Ying Chen, Beijing Normal University, China; Weichang Li, Aramco Research Center - Houston, United States
AASP-P4.9: MODELING SALLEN-KEY AUDIO FILTERS IN THE WAVE DIGITAL DOMAIN
Mattia Verasani, Alberto Bernardini, Augusto Sarti, Politecnico di Milano, Italy
AASP-P5.1: SOUND PHYSICAL PROPERTY MATCHING BETWEEN NON CENTRAL LISTENING POINT AND CENTRAL LISTENING POINT FOR NHK 22.2 SYSTEM REPRODUCTION
Song Wang, Ruimin Hu, Shihong Chen, Xiaochen Wang, Wuhan University, China; Bo Peng, Military Economy Academy, China; Yuhong Yang, Weiping Tu, Wuhan University, China
AASP-P5.2: SPATIO-TEMPORAL SPARSE SOUND FIELD DECOMPOSITION CONSIDERING ACOUSTIC SOURCE SIGNAL CHARACTERISTICS
Naoki Murata, Shoichi Koyama, Norihiro Takamune, Hiroshi Saruwatari, The University of Tokyo, Japan
AASP-P5.3: COMBINED WEIGHTED PREDICTION ERROR AND MINIMUM VARIANCE DISTORTIONLESS RESPONSE FOR DEREVERBERATION
Alejandro Cohen, Georg Stemmer, Seppo Ingalsuo, Shmulik Markovich-Golan, Intel Corporation, Israel
AASP-P5.4: INCIDENT FIELD RECOVERY FOR AN ARBITRARY-SHAPED SCATTERER
Dmitry Zotkin, Nail Gumerov, Ramani Duraiswami, VisiSonics Corporation, United States
AASP-P5.5: ACTIVE SPEECH CONTROL USING WAVE-DOMAIN PROCESSING WITH A LINEAR WALL OF DIPOLE SECONDARY SOURCES
Jacob Donley, Christian H. Ritz, University of Wollongong, Australia; W. Bastiaan Kleijn, Victoria University of Wellington, New Zealand
AASP-P5.6: INTERAURAL TIME DELAY PERSONALISATION USING INCOMPLETE HEAD SCANS
Hannes Gamper, David Johnston, Ivan J. Tashev, Microsoft, United States
AASP-P5.7: COMPRESSING HIGHER ORDER AMBISONICS OF A MULTIZONE SOUNDFIELD
Panji Setiawan, Wenyu Jin, Huawei Technologies Düsseldorf GmbH, Germany
AASP-P5.8: ROBUST AUDIO LOCALIZATION WITH PHASE UNWRAPPING
Kainan Chen, Jürgen Geiger, Huawei Technologies Düsseldorf GmbH, Germany; Walter Kellermann, Friedrich-Alexander-Universitaet Erlangen-Nuernberg, Germany
AASP-P5.9: LINEAR DEMIXED DOMAIN MULTICHANNEL NONNEGATIVE MATRIX FACTORIZATION FOR SPEECH ENHANCEMENT
Toru Taniguchi, Taro Masuda, Toshiba Corporation, Japan
AASP-P5.10: KERNEL PRINCIPAL COMPONENT ANALYSIS OF THE EAR MORPHOLOGY
Reza Zolfaghari, University of Sydney, Australia; Nicolas Epain, b-com, France; Craig T. Jin, University of Sydney, Australia; Joan Glaunes, Universit´e Paris Descartes, Sorbonne, France; Antony Tew, Senior Lecturer, United Kingdom
AASP-P6.1: STUDY OF THE FREQUENCY-DOMAIN MULTICHANNEL NOISE REDUCTION PROBLEM WITH THE HOUSEHOLDER TRANSFORMATION
Gongping Huang, Northwestern Polytechnical University, China; Jacob Benesty, University of Quebec, Canada; Jingdong Chen, Northwestern Polytechnical University, China
AASP-P6.2: NEW INSIGHTS INTO THE KALMAN FILTER BEAMFORMER: APPLICATIONS TO SPEECH AND ROBUSTNESS
Dani Cherkassky, Sharon Gannot, Bar-Ilan University, Israel
AASP-P6.3: MONTE CARLO EXPLORATION FOR ACTIVE BINAURAL LOCALIZATION
Christopher Schymura, Juan Diego Rios Grajales, Dorothea Kolossa, Ruhr-Universität Bochum, Germany
AASP-P6.4: TIME-FREQUENCY PROCESSING FOR SOUND SOURCE LOCALIZATION FROM A MICRO AERIAL VEHICLE
Lin Wang, Andrea Cavallaro, Queen Mary University of London, United Kingdom
AASP-P6.5: HARMONIC MINIMUM MEAN SQUARED ERROR FILTERS FOR MULTICHANNEL SPEECH ENHANCEMENT
Jesper Rindom Jensen, Mads Græsbøll Christensen, Aalborg University, Denmark; Andreas Jakobsson, Lund University, Sweden
AASP-P6.6: MULTI-CHANNEL NOISE REDUCTION FOR HANDS-FREE VOICE COMMUNICATION ON MOBILE PHONES
Wenyu Jin, Mohammad Taghizadeh, Kainan Chen, Wei Xiao, Huawei Technologies Düsseldorf GmbH, European Research Center, Germany
AASP-P6.7: ROBUST ONLINE DIRECTION OF ARRIVAL ESTIMATION USING LOW DIMENSIONAL SPHERICAL HARMONIC FEATURES
Vishnuvardhan Varanasi, Rajesh Hegde, Indian Institute of Technology Kanpur, India
AASP-P6.8: MULTIPLE SOURCE LOCALIZATION USING ESTIMATION CONSISTENCY IN THE TIME-FREQUENCY DOMAIN
Sina Hafezi, Alastair H. Moore, Patrick A. Naylor, Imperial College London, United Kingdom
AASP-P6.9: ROBUST SPHERICAL HARMONIC DOMAIN INTERPOLATION OF SPATIALLY SAMPLED ARRAY MANIFOLDS
Alastair H. Moore, Mike Brookes, Patrick A. Naylor, Imperial College London, United Kingdom
AASP-P6.10: DOA ESTIMATION WITH HISTOGRAM ANALYSIS OF SPATIALLY CONSTRAINED ACTIVE INTENSITY VECTORS
Symeon Delikaris-Manias, Aalto University, Finland; Despoina Pavlidi, Athanasios Mouchtaris, Foundation for Research and Technology - Hellas, Greece; Ville Pulkki, Aalto University, Finland
AASP-P7.1: PHASE-DEPENDENT ANISOTROPIC GAUSSIAN MODEL FOR AUDIO SOURCE SEPARATION
Paul Magron, Roland Badeau, Bertrand David, LTCI, CNRS, Télécom ParisTech, Université Paris-Saclay, France
AASP-P7.2: SUPERVISED INDEPENDENT VECTOR ANALYSIS THROUGH PILOT DEPENDENT COMPONENTS
Francesco Nesta, Conexant Systems, United States; Zbynek Koldovsky, Technical University of Liberec, Czech Republic
AASP-P7.3: AUDIO SOURCE SEPARATION BASED ON CONVOLUTIVE TRANSFER FUNCTION AND FREQUENCY-DOMAIN LASSO OPTIMIZATION
Xiaofei Li, Laurent Girin, Radu Horaud, INRIA, Grenoble, France
AASP-P7.4: A STATISTICAL APPROACH TO SEMI-SUPERVISED SPEECH ENHANCEMENT WITH LOW-ORDER NON-NEGATIVE MATRIX FACTORIZATION
Shoaib Mohammed, Ivan J. Tashev, Microsoft, United States
AASP-P7.5: BAYESIAN MULTICHANNEL NONNEGATIVE MATRIX FACTORIZATION FOR AUDIO SOURCE SEPARATION AND LOCALIZATION
Kousuke Itakura, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara, Kyoto University, Japan
AASP-P7.6: RECURSIVE BAYESIAN ESTIMATION OF THE ACOUSTIC NOISE EMITTED BY WIND FARMS
Baldwin Dumortier, Emmanuel Vincent, Madalina Deaconu, Inria, France
AASP-P7.7: A MAJORIZATION-MINIMIZATION ALGORITHM WITH PROJECTED GRADIENT UPDATES FOR TIME-DOMAIN SPECTROGRAM FACTORIZATION
Hideaki Kagami, Keio University, Japan; Hirokazu Kameoka, NTT Corporation, Japan; Masahiro Yukawa, Keio University, Japan
AASP-P7.8: A MULTI-RESOLUTION APPROACH TO COMMON FATE-BASED AUDIO SEPARATION
Fatemeh Pishdadian, Bryan Pardo, Northwestern University, United States; Antoine Liutkus, Inria, France
AASP-P7.9: SPARSITY AND LOW-RANK AMPLITUDE BASED BLIND SOURCE SEPARATION
Fangchen Feng, Matthieu Kowalski, Université Paris Sud, France
AASP-P7.10: ALPHA-STABLE MULTICHANNEL AUDIO SOURCE SEPARATION
Simon Leglaive, Umut Simsekli, LTCI, Télécom ParisTech, Université Paris-Saclay, France; Antoine Liutkus, Inria, France; Roland Badeau, Gaël Richard, LTCI, Télécom ParisTech, Université Paris-Saclay, France
AASP-P8.1: ADAPTIVE GAIN CONTROL FOR ENHANCED SPEECH INTELLIGIBILITY UNDER REVERBERATION
Petko Petkov, Yannis Stylianou, Toshiba Research Europe Ltd., United Kingdom
AASP-P8.2: NON-ITERATIVE IMPULSE RESPONSE SHORTENING METHOD FOR SYSTEM LATENCY REDUCTION
Jiawen Chua, W. Bastiaan Kleijn, Victoria University of Wellington, New Zealand
AASP-P8.3: CHANNEL ESTIMATION FOR CROSSTALK CANCELLATION IN WIRELESS ACOUSTIC NETWORKS
Gema Piñero, Universitat Politecnica de Valencia, Spain; Patrick A. Naylor, Imperial College London, United Kingdom
AASP-P8.4: FREQUENCY-DOMAIN UNDER-MODELLED BLIND SYSTEM IDENTIFICATION BASED ON CROSS POWER SPECTRUM AND SPARSITY REGULARIZATION
Wei Xue, Mike Brookes, Patrick A. Naylor, Imperial College London, United Kingdom
AASP-P8.5: PRACTICALLY EFFICIENT NONLINEAR ACOUSTIC ECHO CANCELLERS USING CASCADED BLOCK RLS AND FLMS ADAPTIVE FILTERS
Yiteng Huang, Jan Skoglund, Alejandro Luebs, Google Inc., United States
AASP-P8.6: BAYESIAN BLIND DECONVOLUTION WITH APPLICATION TO ACOUSTIC FEEDBACK PATH MODELING
Ritwik Giri, Tao Zhang, Starkey Hearing Technologies, United States
AASP-P8.7: AN ALTERNATIVE COMPLEXITY REDUCTION METHOD FOR PARTITIONED-BLOCK FREQUENCY-DOMAIN ADAPTIVE FILTERS
María Luis Valero, International Audio Laboratories Erlangen, Germany; Edwin Mabande, Fraunhofer IIS, Germany; Emanuël Habets, International Audio Laboratories Erlangen, Germany
AASP-P8.8: ONLINE DEREVERBERATION FOR DYNAMIC SCENARIOS USING A KALMAN FILTER WITH AN AUTOREGRESSIVE MODEL
Sebastian Braun, Emanuël Habets, International Audio Laboratories Erlangen, Germany
AASP-P8.9: COLLABORATIVE METHOD BASED ON THE ACOUSTICAL INTERACTION EFFECTS ON ACTIVE NOISE CONTROL SYSTEMS OVER DISTRIBUTED NETWORKS
Christian Antoñanzas, Miguel Ferrer, Maria de Diego, Alberto Gonzalez, Institute of Telecommunication and Multimedia Applications, Spain
AASP-P8.10: LATE REVERBERANT POWER SPECTRAL DENSITY ESTIMATION BASED ON AN EIGENVALUE DECOMPOSITION
Ina Kodrasi, Simon Doclo, University of Oldenburg, Germany
AASP-P9.1: COVER SONG IDENTIFICATION WITH 2D FOURIER TRANSFORM SEQUENCES
Prem Seetharaman, Northwestern University, United States; Zafar Rafii, Gracenote, Inc., United States
AASP-P9.2: REVISITING THE PROBLEM OF AUDIO-BASED HIT SONG PREDICTION USING CONVOLUTIONAL NEURAL NETWORKS
Li-Chia Yang, Szu-Yu Chou, Jen-Yu Liu, Yi-Hsuan Yang, Academia Sinica, Taiwan; Yi-An Chen, KKBOX Inc., Taiwan
AASP-P9.3: ENHANCED LBP TEXTURE FEATURES FROM TIME FREQUENCY REPRESENTATIONS FOR ACOUSTIC SCENE CLASSIFICATION
Shamsiah Abidin, Roberto Togneri, The University of Western Australia, Australia; Ferdous Sohel, Murdoch University, Australia
AASP-P9.4: DISCOVERING SOUND CONCEPTS AND ACOUSTIC RELATIONS IN TEXT
Anurag Kumar, Bhiksha Raj, Ndapandula Nakashole, Carnegie Mellon University, United States
AASP-P9.5: TOWARDS THE CHARACTERIZATION OF SINGING STYLES IN WORLD MUSIC
Maria Panteli, Queen Mary University of London, United Kingdom; Rachel Bittner, Juan Pablo Bello, New York University, United States; Simon Dixon, Queen Mary University of London, United Kingdom
AASP-P9.6: A JOINT DETECTION-CLASSIFICATION MODEL FOR AUDIO TAGGING OF WEAKLY LABELLED DATA
Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley, University of Surrey, United Kingdom
AASP-P9.7: WORD LEVEL LYRICS-AUDIO SYNCHRONIZATION USING SEPARATED VOCALS
Sang Won Lee, University of Michigan, United States; Jeffrey Scott, Gracenote, United States
AASP-P9.9: PICKUP POSITION AND PLUCKING POINT ESTIMATION ON AN ELECTRIC GUITAR
Zulfadhli Mohamad, Simon Dixon, Queen Mary University of London, United Kingdom; Christopher Harte, Melodient Limited, United Kingdom
AASP-P9.10: DEDUCTIVE REFINEMENT OF SPECIES LABELLING IN WEAKLY LABELLED BIRDSONG RECORDINGS
Veronica Morfi, Dan Stowell, Queen Mary University of London, United Kingdom
AASP-P10.1: IMPROVING THE PERCEPTUAL QUALITY OF IDEAL BINARY MASKED SPEECH
Leo Lightburn, Imperial College London, United Kingdom; Enzo De Sena, University of Surrey, United Kingdom; Alastair H. Moore, Patrick Naylor, Mike Brookes, Imperial College London, United Kingdom
AASP-P10.2: MODEL BASED BINAURAL ENHANCEMENT OF VOICED AND UNVOICED SPEECH
Mathew Shaji Kavalekalam, Mads Græsbøll Christensen, Aalborg University, Denmark; Jesper Bünsow Boldt, GN Resound, Denmark
AASP-P10.3: DETECTION OF IMPULSIVE DISTURBANCES IN ARCHIVE AUDIO SIGNALS
Marcin Ciolek, Maciej Niedzwiecki, Gdansk University of Technology, Poland
AASP-P10.4: ON RELATIONSHIPS BETWEEN AMPLITUDE AND PHASE OF SHORT-TIME FOURIER TRANSFORM
Suehiro Shimauchi, NTT Corporation, Japan; Shinya Kudo, Oita University, Japan; Yuma Koizumi, NTT Corporation, Japan; Ken'ichi Furuya, Oita University, Japan
AASP-P10.5: PROBABILISTIC SPATIAL DICTIONARY BASED ONLINE ADAPTIVE BEAMFORMING FOR MEETING RECOGNITION IN NOISY AND REVERBERANT ENVIRONMENTS
Nobutaka Ito, Shoko Araki, Marc Delcroix, Tomohiro Nakatani, NTT Corporation, Japan
AASP-P10.6: DUAL MICROPHONE VOICE ACTIVITY DETECTION EXPLOITING INTERCHANNEL TIME AND LEVEL DIFFERENCES
Jaehoon Park, Gwangju Institute of Science and Technology, Korea (South); Yu Gwang Jin, SK Telecom, Korea (South); Soojoong Hwang, Jong Won Shin, Gwangju Institute of Science and Technology, Korea (South)
AASP-P10.7: PRE-ECHO NOISE REDUCTION IN FREQUENCY-DOMAIN AUDIO CODECS
Jimmy Lapierre, Roch Lefebvre, Université de Sherbrooke, Canada
AASP-P10.8: ADAPTIVE GAIN CONTROL AND TIME WARP FOR ENHANCED SPEECH INTELLIGIBILITY UNDER REVERBERATION
Petko Petkov, Yannis Stylianou, Toshiba Research Europe Ltd., United Kingdom
AASP-P10.9: ASSESSMENT OF MUSICAL NOISE USING LOCALIZATION OF ISOLATED PEAKS IN TIME-FREQUENCY DOMAIN
Ronan Hamon, Aix Marseille Université, France; Lucas Rencker, University of Surrey, United Kingdom; Valentin Emiya, Aix Marseille Université, France; Wenwu Wang, Mark D. Plumbley, University of Surrey, France
AASP-P10.10: WAVELET SPEECH ENHANCEMENT BASED ON NONNEGATIVE MATRIX FACTORIZATION
Syu-Siang Wang, Alan Chern, Yu Tsao, Academia Sinica, Taiwan; Jeih-weih Hung, National Chi Nan University, Taiwan; Xugang Lu, National Institute of Information and Communications Technology, Japan; Ying-Hui Lai, Academia Sinica, Taiwan; Borching Su, National Taiwan University, Taiwan
AASP-P11.1: CODING OF FINE GRANULAR AUDIO SIGNALS USING HIGH RESOLUTION ENVELOPE PROCESSING (HREP)
Florin Ghido, Sascha Disch, Fraunhofer IIS, Germany; Jürgen Herre, International Audio Laboratories Erlangen, Germany; Franz Reutelhuber, Fraunhofer IIS, Germany; Alexander Adami, International Audio Laboratories Erlangen, Germany
AASP-P11.2: DECORRELATION FOR AUDIO OBJECT CODING
Lars Villemoes, Toni Hirvonen, Heiko Purnhagen, Dolby Sweden AB, Sweden
AASP-P11.3: OBJECTIVE CHARACTERIZATION OF AUDIO SIGNAL QUALITY: APPLICATIONS TO MUSIC COLLECTION DESCRIPTION
Dominique Fourer, Geoffroy Peeters, IRCAM - CNRS - UPMC, France
AASP-P11.4: AUDIO TIME STRETCHING WITH AN ADAPTIVE MULTIRESOLUTION PHASE VOCODER
Nicolas Juillerat, Béat Hirsbrunner, University of Fribourg, Switzerland
AASP-P11.5: BLIND BANDWIDTH EXTENSION USING K-MEANS AND SUPPORT VECTOR REGRESSION
Chih-Wei Wu, Georgia Institute of Technology, United States; Mark Vinton, Dolby Laboratories, United States
AASP-P11.6: CODEC INDEPENDENT LOSSY AUDIO COMPRESSION DETECTION
Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam, Deezer, France
AASP-P11.7: LEAST 1-NORM POLE-ZERO MODELING WITH SPARSE DECONVOLUTION FOR SPEECH ANALYSIS
Liming Shi, Jesper Rindom Jensen, Mads Græsbøll Christensen, Audio Analysis Lab, AD:MT, Aalborg University, Denmark
AASP-P11.8: SHAPE PARAMETER ESTIMATION FOR GENERALIZED-GAUSSIAN-DISTRIBUTED FREQUENCY SPECTRA OF AUDIO SIGNALS
Ryosuke Sugiura, Yutaka Kamamoto, Takehiro Moriya, NTT Corporation, Japan
AASP-P11.9: VERY LOW BITRATE SPATIAL AUDIO CODING WITH DIMENSIONALITY REDUCTION
Christian Rohlfing, RWTH Aachen University, Germany; Jeremy E. Cohen, Gipsa-lab, CNRS, France; Antoine Liutkus, Inria, France
AASP-P11.10: QUANTIZATION-AWARE PARAMETER ESTIMATION FOR AUDIO UPMIXING
Christian Rohlfing, RWTH Aachen University, Germany; Antoine Liutkus, Inria, France; Julian M. Becker, RWTH Aachen University, Germany
AASP-P12.1: ACTIVE LEARNING FOR SOUND EVENT CLASSIFICATION BY CLUSTERING UNLABELED DATA
Shuyang Zhao, Toni Heittola, Tuomas Virtanen, Tampere University of Technology, Finland
AASP-P12.2: DISCRIMINATIVE FEATURE DOMAINS FOR REVERBERANT ACOUSTIC ENVIRONMENTS
Constantinos Papayiannis, Christine Evers, Patrick A. Naylor, Imperial College London, United Kingdom
AASP-P12.3: SUBSPACE PROJECTION CEPSTRAL COEFFICIENTS FOR NOISE ROBUST ACOUSTIC EVENT RECOGNITION
Sangwook Park, Younglo Lee, Korea University, Korea (South); David K. Han, Office of Naval Research, United States; Hanseok Ko, Korea University, Republic of Korea
AASP-P12.4: BLSTM-HMM HYBRID SYSTEM COMBINED WITH SOUND ACTIVITY DETECTION NETWORK FOR POLYPHONIC SOUND EVENT DETECTION
Tomoki Hayashi, Nagoya University, Japan; Shinji Watanabe, Mitsubishi Electric Research Laboratories, United States; Tomoki Toda, Nagoya University, Japan; Takaaki Hori, Jonathan Le Roux, Mitsubishi Electric Research Laboratories, United States; Kazuya Takeda, Nagoya University, Japan
AASP-P12.5: SOUND EVENT DETECTION USING SPATIAL FEATURES AND CONVOLUTIONAL RECURRENT NEURAL NETWORK
Sharath Adavanne, Pasi Pertilä, Tuomas Virtanen, Tampere University of Technology, Finland
AASP-P12.6: AUDIO SET: AN ONTOLOGY AND HUMAN-LABELED DATASET FOR AUDIO EVENTS
Jort F. Gemmeke, Daniel P. W. Ellis, Dylan Freedman, Aren Jansen, Wade Lawrence, R. Channing Moore, Manoj Plakal, Marvin Ritter, Google Inc., United States
AASP-P12.7: REVERBERATION-BASED FEATURE EXTRACTION FOR ACOUSTIC SCENE CLASSIFICATION
Milos Markovic, Jürgen Geiger, Huawei Technologies Düsseldorf GmbH, Germany
AASP-P12.8: LARGE-SCALE AUDIO EVENT DISCOVERY IN ONE MILLION YOUTUBE VIDEOS
Aren Jansen, Jort F. Gemmeke, Daniel P. W. Ellis, Xiaofeng Liu, Wade Lawrence, Dylan Freedman, Google Inc., United States
AASP-P12.9: WEAKLY-SUPERVISED AUDIO EVENT DETECTION USING EVENT-SPECIFIC GAUSSIAN FILTERS AND FULLY CONVOLUTIONAL NETWORKS
Ting-Wei Su, Academia Sinica, Taiwan; Jen-Yu Liu, National Taiwan University, Taiwan; Yi-Hsuan Yang, Academia Sinica, Taiwan
AASP-P12.10: DEEP NEURAL NETWORK BASED LEARNING AND TRANSFERRING MID-LEVEL AUDIO FEATURES FOR ACOUSTIC SCENE CLASSIFICATION
Seongkyu Mun, Suwon Shon, Korea University, Republic of Korea; Wooil Kim, Incheon National University, Republic of Korea; David K. Han, Office of Naval Research, United States; Hanseok Ko, Korea University, United States
BISP-L1.1: COMPRESSED SENSING MRI USING DOUBLE SPARSITY WITH ADDITIONAL TRAINING IMAGES
Chenmin Tang, Norihito Inamuro, Takashi Ijiri, Akira Hirabayashi, Ritsumeikan University, Japan
BISP-L1.2: ASSISTED DICTIONARY LEARNING FOR FMRI DATA ANALYSIS
Manuel Morante, University of Athens, Greece; Yannis Kopsinis, LIBRA MLI Ltd, Greece; Eleftherios Kofidis, University of Piraeus, Greece; Christos Chatzichristos, Sergios Theodoridis, University of Athens, Greece
BISP-L1.3: AUTOMATIC DETECTION OF MOTION ARTIFACTS IN MR IMAGES USING CNNS
Kristof Meding, Max Planck Institute for Intelligent Systems, Germany; Alexander Loktyushin, Max Planck Institute for Biological Cybernetics, Germany; Michael Hirsch, Max Planck Institute for Intelligent Systems, Germany
BISP-L1.4: SPARSE SIGNAL RECOVERY FOR ULTRASONIC DETECTION AND RECONSTRUCTION OF SHADOWED FLAWS
Jan Kirchhof, Fabian Krieg, Florian Römer, Alexander Ihlow, Ilmenau University of Technology, Germany; Ahmad Osman, Fraunhofer Institute for Nondestructive Testing IZFP, Saarbrücken, Germany, Germany; Giovanni Del Galdo, Ilmenau University of Technology, Germany
BISP-L1.5: FREQUENCY-TUNED ACM FOR BIOMEDICAL IMAGE SEGMENTATION
Qing Guo, Tianjin university, China; Shuifa Sun, Fangmin Dong, China Three Gorges University, China; Wei Feng, Tianjin University, China; Bruce Zhi Gao, Siyu Ma, Clemson University, United States
BISP-L1.6: DECENTRALIZED INDEPENDENT VECTOR ANALYSIS
Nikolas Wojtalewicz, New College of Florida, United States; Rogers Silva, The University of New Mexico, United States; Vince D. Calhoun, The Mind Research Network, United States; Anand D. Sarwate, Rutgers, The State University of New Jersey, United States; Sergey Plis, The Mind Research Network, United States
BISP-L2.1: ALTERNATING DIFFUSION MAPS FOR DEMENTIA SEVERITY ASSESSMENT
Tal Shnitzer, Maya Rapaport, Noga Cohen, Natalya Yarovinsky, Ronen Talmon, Judith Aharon-Peretz, Technion - Israel Institute of Technology, Israel
BISP-L2.2: REDUCTION OF NECESSARY DATA RATE FOR NEURAL DATA THROUGH EXPONENTIAL AND SINUSOIDAL SPLINE DECOMPOSITION USING THE FINITE RATE OF INNOVATION FRAMEWORK
Tobias Schnier, Carsten Bockelmann, Armin Dekorsy, Universität Bremen, Germany
BISP-L2.3: SPARSE SPECTRAL ESTIMATION FROM POINT PROCESS OBSERVATIONS
Sina Miran, University of Maryland, College Park, United States; Patrick L. Purdon, Emery N. Brown, Massachusetts General Hospital, United States; Behtash Babadi, University of Maryland, College Park, United States
BISP-L2.4: NAPLIB: AN OPEN SOURCE TOOLBOX FOR REAL-TIME AND OFFLINE NEURAL ACOUSTIC PROCESSING
Bahar Khalighinejad, Tasha Nagamine, Columbia University, United States; Ashesh Mehta, Hofstra Northwell School of Medicine and Feinstein Institute for Medical Research, United States; Nima Mesgarani, Columbia University, United States
BISP-L2.5: BRAIN SIGNAL ANALYTICS FROM GRAPH SIGNAL PROCESSING PERSPECTIVE
Leah Goldsberry, Weiyu Huang, University of Pennsylvania, United States; Nicholas Wymbs, Johns Hopkins University, United States; Scott Grafton, University of California, Santa Barbara, United States; Danielle Bassett, Alejandro Ribeiro, University of Pennsylvania, United States
BISP-L2.6: POST-ICA PHASE DE-NOISING FOR RESTING-STATE COMPLEX-VALUED FMRI DATA
Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Fengyu Cong, Dalian University of Technology, China; Vince D. Calhoun, University of New Mexico, United States
BISP-L3.1: POST-SEGMENTATION SWALLOWING ACCELEROMETRY SIGNAL TRIMMING AND FALSE POSITIVE REDUCTION
Helia Mohammadi, Catriona Steele, Tom Chau, University of Toronto, Canada
BISP-L3.2: A DATA-DRIVEN COMPRESSIVE SENSING FRAMEWORK TAILORED FOR ENERGY-EFFICIENT WEARABLE SENSING
Kai Xu, Yixing Li, Fengbo Ren, Arizona State University, United States
BISP-L3.3: BOOLEAN KALMAN FILTER WITH CORRELATED OBSERVATION NOISE
Levi Daniel McClenny, Mahdi Imani, Ulisses M. Braga-Neto, Texas A&M University, United States
BISP-L3.4: A BAYESIAN APPROACH TO TOP-SCORING PAIRS CLASSIFICATION
Emre Arslan, Ulisses M. Braga-Neto, Texas A&M University, United States
BISP-L3.5: FETAL HEART RATE CLASSIFICATION BY NON-PARAMETRIC BAYESIAN METHODS
Kezi Yu, Gerald Quirk, Petar M. Djuric, Stony Brook University, United States
BISP-L3.6: DECODING EMOTIONAL EXPERIENCES THROUGH PHYSIOLOGICAL SIGNAL PROCESSING
Maria Perez-Rosero, Behnaz Rezaei, Northeastern University, United States; Murat Akcakaya, University of Pittsburgh, United States; Sarah Ostadabbas, Northeastern University, United States
BISP-P1.1: AUTOMATIC SEGMENTATION OF RETINAL VASCULATURE
Renoh Johnson Chalakkal, Waleed Abdulla, University of Auckland, New Zealand
BISP-P1.2: ENHANCING RETINAL VESSEL SEGMENTATION BY COLOR FUSION
Xiaohong Wang, Xudong Jiang, Nanyang Technological University, Singapore
BISP-P1.3: EFFECT OF SAMPLING ON THE ESTIMATION OF THE APPARENT COEFFICIENT OF DIFFUSION IN MRI
Santiago Aja-Fernandez, Oscar Peña-Nogales, Rodrigo de Luis-Garcia, Universidad de Valladolid, Spain
BISP-P1.4: EEG CHANNEL OPTIMIZATION VIA SPARSE COMMON SPATIAL FILTER
Quan Zhou, Aimin Jiang, Xiaofeng Liu, College of Internet of Things Engineering of Hohai University, China
BISP-P1.5: IDENTIFYING FMRI DYNAMIC CONNECTIVITY STATES USING AFFINITY PROPAGATION CLUSTERING METHOD: APPLICATION TO SCHIZOPHRENIA
Mustafa Salman, University of New Mexico, Dept. of ECE; The Mind Research Network, United States; Yuhui Du, The Mind Research Network; Shanxi University, School of Computer & Information Technology, United States; Vince D. Calhoun, University of New Mexico, Dept. of ECE; The Mind Research Network, United States
BISP-P1.6: MULTIPLE-INPUT MULTIPLE-OUTPUT (MIMO) MRI: AN EFFICIENT PULSE DESIGN ALGORITHM TO COMBINE PARALLEL EXCITATION AND PARALLEL IMAGING
Xianglun Mao, David Love, Joseph Rispoli, Thomas Talavage, Purdue University, United States
BISP-P1.7: BLOOD VESSELS EXTRACTION USING FUZZY MATHEMATICAL MORPHOLOGY
Daniel Oliveira Dantas, Diego de Souza Oliveira, Helton Danilo Passos Leal, Universidade Federal de Sergipe, Brazil
BISP-P1.8: CLASSIFICATION OF THYROID NODULES IN ULTRASOUND IMAGES USING DEEP MODEL BASED TRANSFER LEARNING AND HYBRID FEATURES
Tianjiao Liu, Shuaining Xie, Tsinghua University, China; Jing Yu, Beijing University of Technology, China; Lijuan Niu, Cancer Hospital of Chinese Academy of Medical Sciences, China; Weidong Sun, Tsinghua University, China
BISP-P1.9: ESTIMATION OF VOCAL TRACT AREA FUNCTION FROM VOLUMETRIC MAGNETIC RESONANCE IMAGING
Zisis Iason Skordilis, Asterios Toutios, Johannes Toger, Shrikanth Narayanan, University of Southern California, United States
BISP-P2.1: REDUCED CALIBRATION BY EFFICIENT TRANSFORMATION OF TEMPLATES FOR HIGH SPEED HYBRID CODED SSVEP BRAIN–COMPUTER INTERFACES
Kaori Suefusa, Toshihisa Tanaka, Tokyo University of Agriculture and Technology, Japan
BISP-P2.2: PRE-MOVEMENT CONTRALATERAL EEG LOW BETA POWER IS MODULATED WITH MOTOR ADAPTATION LEARNING
Ozan Ozdenizci, Mustafa Yalcin, Ahmetcan Erdogan, Volkan Patoglu, Sabanci University, Turkey; Moritz Grosse-Wentrup, Max Planck Institute for Intelligent Systems, Germany; Mujdat Cetin, Sabanci University, Turkey
BISP-P2.3: EEG SOURCE IMAGING ASSISTS DECODING IN A FACE RECOGNITION TASK
Rasmus Sten Andersen, Anders Ulrik Eliasen, Nicolai Pedersen, Michael Riis Andersen, Sofie Therese Hansen, Lars Kai Hansen, Technical University of Denmark, Denmark
BISP-P2.4: GRAPH REGULARISED TENSOR FACTORISATION OF EEG SIGNALS BASED ON NETWORK CONNECTIVITY MEASURES
Loukianos Spyrou, Javier Escudero, University of Edinburgh, United Kingdom
BISP-P2.5: DYNAMIC GRAPH FOURIER TRANSFORM ON TEMPORAL FUNCTIONAL CONNECTIVITY NETWORKS
Marisel Villafañe-Delgado, Selin Aviyente, Michigan State University, United States
BISP-P2.6: STRUCTURED DICTIONARY LEARNING FOR SPARSE COMMON COMPONENT AND INNOVATION MODEL
Arash Golibagh Mahyari, Selin Aviyente, Michigan State University, United States
BISP-P2.7: DETECTION OF VISUAL EVOKED POTENTIALS USING RAMANUJAN PERIODICITY TRANSFORM FOR REAL TIME BRAIN COMPUTER INTERFACES
Pouria Saidi, George Atia, Azadeh Vosoughi, University of Central Florida, United States
BISP-P2.8: EVENT-RELATED SYNCHRONISATION RESPONSES TO N-BACK MEMORY TASKS DISCRIMINATE BETWEEN HEALTHY AGEING, MILD COGNITIVE IMPAIRMENT, AND MILD ALZHEIMER’S DISEASE
Francisco J. Fraga, Leonardo A. Ferreira, Universidade Federal do ABC (UFABC), Brazil; Tiago Henrique Falk, University of Quebec, Canada; Erin Johns, Natalie D. Phillips, Concordia University, Canada
BISP-P2.9: A CROSS-MODAL ADAPTATION APPROACH FOR BRAIN DECODING
Pouya Ghaemmaghami, Moin Nabi, Yan Yan, Giuseppe Riccardi, Nicu Sebe, University of Trento, Italy
BISP-P2.10: NEURAL DECODING SYSTEMS USING MARKOV DECISION PROCESSES
Henrique Dantas, V John Mathews, Oregon State University, United States; Suzanne Wendelken, Tyler Davis, Gregory Clark, David Warren, University of Utah, United States
BISP-P3.1: AN FFT-BASED SYNCHRONIZATION APPROACH TO RECOGNIZE HUMAN BEHAVIORS USING STN-LFP SIGNAL
Hosein M. Golshan, University of Denver, United States; Adam O. Hebb, Sara J. Hanrahan, Joshua Nedrud, Colorado Neurological Institute, United States; Mohammad H. Mahoor, University of Denver, United States
BISP-P3.2: WAVELET BASED HEAD MOVEMENT ARTIFACT REMOVAL FROM ELECTROOCULOGRAPHY SIGNALS
Anwesha Khasnobish, Kingshuk Chakravarty, Debatri Chatterjee, Aniruddha Sinha, TCS Research & Innovation, Tata Consultancy Services, India
BISP-P3.3: ANALYSIS AND PREDICTION OF HEART RATE USING SPEECH FEATURES FROM NATURAL SPEECH
Jennifer Smith, Andreas Tsiartas, Elizabeth Shriberg, Andreas Kathol, Adrian Willoughby, Massimiliano de Zambotti, SRI International, United States
BISP-P3.4: ARIMA-GARCH MODELING FOR EPILEPTIC SEIZURE PREDICTION
Salman Mohamadi, Hamidreza Amindavar, Seyed Mohammad Ali Tayaranian Hosseini, Amirkabir University of Technology, Iran
BISP-P3.5: EMOTION ESTIMATION VIA TENSOR-BASED SUPERVISED DECISION-LEVEL FUSION FROM MULTIPLE BRODMANN AREAS
Kento Sugata, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan
BISP-P3.6: UWB RADAR SIGNAL PROCESSING IN MEASUREMENT OF HEARTBEAT FEATURES
Seyed Mohammad Ali Tayaranian Hosseini, Hamidreza Amindavar, Amirkabir University of Technology, Iran
BISP-P3.7: COMPRESSIVE SENSING BASED ECG MONITORING WITH EFFECTIVE AF DETECTION
Hung-Chi Kuo, Yu-Min Lin, An-Yeu (Andy) Wu, National Taiwan University, Taiwan
BISP-P3.8: PPG-BASED HEART RATE ESTIMATION USING WIENER FILTER, PHASE VOCODER AND VITERBI DECODING
Andriy Temko, University College Cork, Ireland
BISP-P3.9: A KNOWLEDGE-DRIVEN FRAMEWORK FOR ECG REPRESENTATION AND INTERPRETATION FOR WEARABLE APPLICATIONS
Ramasubramanian Balasubramanian, Indian Institute of Technology Madras, India; Theodora Chaspari, Shrikanth Narayanan, University of Southern California, United States
BISP-P3.10: COUPLED HIDDEN MARKOV MODEL FOR AUTOMATIC ECG AND PCG SEGMENTATION
Jorge Oliveira, Instituto de Telecomunicações, Portugal; Catarina Sousa, Universidade do Porto, Portugal; Miguel Coimbra, Instituto de Telecomunicações, Portugal
BISP-P4.1: A CONVOLUTIONAL RIEMANNIAN TEXTURE MODEL WITH DIFFERENTIAL ENTROPIC ACTIVE CONTOURS FOR UNSUPERVISED PEST DETECTION
Shuanglu Dai, Hong Man, Stevens Institute of Technology, United States
BISP-P4.2: PARAMETER-FREE AUTOMATED EXTRACTION OF NEURONAL SIGNALS FROM CALCIUM IMAGING DATA
Yuri Levin-Schwartz, University of Maryland, Baltimore County, United States; Dennis Sparta, Joseph Cheer, University of Maryland, School of Medicine, United States; Tülay Adali, University of Maryland, Baltimore County, United States
BISP-P4.3: STOCHASTIC FILTERING OF TWO-PHOTON IMAGING USING REWEIGHTED L1
Adam Charles, Alexander Song, Sue Ann Koay, David Tank, Jonathan Pillow, Princeton University, United States
BISP-P4.4: GDSPIKE: AN ACCURATE SPIKE ESTIMATION ALGORITHM FROM NOISY CALCIUM FLUORESCENCE SIGNALS
Jilt Sebastian, Mari Ganesh Kumar M, Sreekar Y S, Indian Institute of Technology Madras, India; Rajeev Vijay Rikhye, Mriganka Sur, Massachusetts Institute of Technology, Cambridge, United States; Hema A. Murthy, Indian Institute of Technology Madras, India
BISP-P4.5: PRECISION CELL BOUNDARY TRACKING ON DIC MICROSCOPY VIDEO FOR PATCH CLAMPING
John Lee, Christopher Rozell, Georgia Institute of Technology, United States
BISP-P4.6: BARKER-CODED NODE-PORE RESISTIVE PULSE SENSING WITH BUILT-IN COINCIDENCE CORRECTION
Michael Kellman, University of California, Berkeley, United States; Francois Rivest, École Polytechnique Fédérale de Lausanne, Switzerland; Alina Pechacek, Lydia Sohn, Michael Lustig, University of California, Berkeley, United States
BISP-P4.7: PATCH-BASED SEGMENTATION OF OVERLAPPING CERVICAL CELLS USING ACTIVE CONTOUR WITH LOCAL EDGE INFORMATION
Alaa Khadidos, Victor Sanchez, Chang-Tsun Li, University of Warwick, United Kingdom
BISP-P4.8: ON SPATIAL DEPENDENCY IN MOLECULAR DISTRIBUTED DETECTION
Uri Rogers, Tobias Cain, Min-Sung Koh, Eastern Washington University, United States
BISP-P4.9: 3D TRACKING SWIMMING FISH SCHOOL WITH LEARNED KINEMATIC MODEL USING LSTM NETWORK
Shuo Hong Wang, Jingwen Zhao, Xiang Liu, Zhi-Ming Qian, Fudan University, China; Ye Liu, Nanjing University of Posts and Telecommunications, China; Yan Qiu Chen, Fudan University, China
BISP-P4.10: EPITHELIUM-STROMA CLASSIFICATION IN HISTOPATHOLOGICAL IMAGES VIA CONVOLUTIONAL NEURAL NETWORKS AND SELF-TAUGHT LEARNING
Yue Huang, Han Zheng, School of Information Science and Engineering, Xiamen University, China; Chi Liu, Carnegie Mellon University, United States; Gustavo Rohde, University of Virginia, United States; Delu Zeng, School of Information Science and Engineering, Xiamen University, China; Jiaqi Wang, Beijing University of Posts and Telecommunications, China; Xinghao Ding, School of Information Science and Engineering, Xiamen University, China
BISP-P5.1: CLASSIFICATION OF GAUSSIAN TRAJECTORIES WITH MISSING DATA IN BOOLEAN GENE REGULATORY NETWORKS
Alireza Karbalayghareh, Ulisses M. Braga-Neto, Edward R. Dougherty, Texas A&M University, United States
BISP-P5.2: INTEGRATION OF MULTIPLE GENOMIC IMAGING DATA FOR THE STUDY OF SCHIZOPHRENIA USING JOINT NONNEGATIVE MATRIX FACTORIZATION
Min Wang, Ting-Zhu Huang, University of Electronic Science and Technology of China, China; Vince D. Calhoun, University of New Mexico, United States; Jian Fang, Yu-Ping Wang, Tulane University, United States
BISP-P5.3: A JOINT LEARNING BASED FACE SUPER RESOLUTION APPROACH VIA CONTEXTUAL TOPOLOGICAL STRUCTURE
Liang Chen, Wuhan University, City University of Hong Kong, China; Ruimin Hu, Zhen Han, Zhongyuan Wang, Wuhan University, China; Qing Li, City University of Hong Kong, China
BISP-P5.4: ATLAS BASED 3D LIVER SEGMENTATION USING ADAPTIVE THRESHOLDING AND SUPERPIXEL APPROACHES
Negar Farzaneh, Samuel Habbo-Gavin, S.M.Reza Soroushmehr, Hirenkumar Patel, David Fessell, Kevin Ward, Kayvan Najarian, University of Michigan, Ann Arbor, United States
BISP-P5.5: A SEMI-SUPERVISED METHOD FOR MULTI-SUBJECT FMRI FUNCTIONAL ALIGNMENT
Javier Turek, Theodore Willke, Intel Labs, United States; Po-Hsuan Chen, Peter Ramadge, Princeton University, United States
BISP-P5.6: A SYSTEMATIC APPROACH TO COMPUTE PERCEPTUAL DISTRIBUTION OF MONOSYLLABLES
Yuhao Wu, Jia Jia, Feng Lu, Lianhong Cai, Tsinghua University, China
BISP-P5.7: CLINICAL DECISION SUPPORT SYSTEM FOR PARKINSON’S DISEASE AND RELATED MOVEMENT DISORDERS
Muhammad Asad Raza, Qaiser Chaudry, Syed Muhammad Tahir Zaidi, National University of Sciences and Technology, Pakistan; Muhammad Babar Khan, Military Hospital Rawalpindi, Pakistan
BISP-P5.8: EXTRACTION OF COMMON TASK SIGNALS AND SPATIAL MAPS FROM GROUP FMRI USING A PARAFAC-BASED TENSOR DECOMPOSITION TECHNIQUE
Bhaskar Sen, Keshab Parhi, University of Minnesota, United States
BISP-P5.9: NONCONTACT RESPIRATION MONITORING OF MULTIPLE CLOSELY POSITIONED PATIENTS USING ULTRA-WIDEBAND ARRAY RADAR WITH ADAPTIVE BEAMFORMING TECHNIQUE
Masashi Muragaki, Shigeaki Okumura, Katsutoshi Maehara, Kyoto University, Japan; Takuya Sakamoto, University of Hyogo, Japan; Mototaka Yoshioka, Kenichi Inoue, Takeshi Fukuda, Hiroyuki Sakai, Panasonic Corporation, Japan; Toru Sato, Kyoto University, Japan
BISP-P5.10: RESPIRATORY AIRFLOW ESTIMATION FROM LUNG SOUNDS BASED ON REGRESSION
Elmar Messner, Martin Hagmüller, Graz University of Technology, Austria; Paul Swatek, Freyja-Maria Smolle-Jüttner, Medical University of Graz, Austria; Franz Pernkopf, Graz University of Technology, Austria
DISPS-L1.1: MULTI-RATE POLAR CODES FOR SOLID STATE DRIVES
Yi Zhong, Chun Zhang, Tsinghua University, China; Chenrong Xiong, Zhiyuan Yan, Lehigh University, United States
DISPS-L1.2: ULTRA-FAST ROBUST COMPRESSIVE SENSING BASED ON MEMRISTOR CROSSBARS
Sijia Liu, University of Michigan, United States; Ao Ren, Yanzhi Wang, Pramod K. Varshney, Syracuse University, United States
DISPS-L1.3: MINIMUM PRECISION REQUIREMENTS FOR THE SVM-SGD LEARNING ALGORITHM
Charbel Sakr, Ameya Patil, Sai Zhang, Yongjune Kim, Naresh Shanbhag, University of Illinois at Urbana-Champaign, United States
DISPS-L1.4: HARDWARE-BASED LINEAR PROGRAMMING DECODING VIA THE ALTERNATING DIRECTION METHOD OF MULTIPLIERS
Mitchell Wasson, Mario Milicevic, Stark Draper, Glenn Gulak, University of Toronto, Canada
DISPS-L1.5: NON-SEPARABLE QUADRUPLE LIFTING STRUCTURE FOR FOUR-DIMENSIONAL INTEGER WAVELET TRANSFORM WITH REDUCED ROUNDING NOISE
Fairoza Amira Binti Hamzah, Taichi Yoshida, Masahiro Iwahashi, Nagaoka University of Technology, Japan
DISPS-L1.6: A GENERALIZED MATRIX-DECOMPOSITION PROCESSOR FOR JOINT MIMO TRANSCEIVER DESIGN
Yu-Chi Wu, Pei-Yun Tsai, National Central University, Taiwan
DISPS-P1.1: ENERGY REDUCTION OPPORTUNITIES IN AN HEVC REAL-TIME ENCODER
Alexandre Mercat, Florian Arrestier, Wassim Hamidouche, Maxime Pelcat, Daniel Menard, IETR, France
DISPS-P1.2: CONSTRAIN THE DOCILE CTUS: AN IN-FRAME COMPLEXITY ALLOCATOR FOR HEVC INTRA ENCODERS
Alexandre Mercat, Florian Arrestier, Wassim Hamidouche, Maxime Pelcat, Daniel Menard, IETR, France
DISPS-P1.3: MULTICORE DISTRIBUTED DICTIONARY LEARNING: A MICROARRAY GENE EXPRESSION BICLUSTERING CASE STUDY
Stephen Laide, John McAllister, Queen's University Belfast, United Kingdom
DISPS-P1.4: HIGH LEVEL SYNTHESIS OF SMITH-WATERMAN DATAFLOW IMPLEMENTATIONS
Simone Casale-Brunet, Endri Bezati, SIB Swiss Institute of Bioinformatics, Switzerland; Marco Mattavelli, École Polytechnique Fédérale de Lausanne SCI STI MM, Switzerland
DISPS-P1.5: NEW RESIDUE ARITHMETIC BASED BARRETT ALGORITHMS: MODULAR POLYNOMIAL COMPUTATIONS
Hari Krishna Garg, National University of Singapore, Singapore; Hanshen Xiao, Tsinghua University, United States
DISPS-P1.6: LBP EDGE-MAPPED DESCRIPTOR USING MGM INTEREST POINTS FOR FACE RECOGNITION
Jou Lin, Ching-Te Chiu, National Tsing Hua University, Taiwan
DISPS-P1.7: MULTIPLE PARALLEL BRANCH WITH FOLDING ARCHITECTURE FOR MULTICHANNEL FILTERED-X LEAST MEAN SQUARE ALGORITHM
Dongyuan Shi, Jianjun He, Chuang Shi, Tatsuya Murao, Woon-Seng Gan, Nanyan Technology University, Singapore
DISPS-P1.8: A SOFTWARE-DEFINED RADIO IMPLEMENTATION OF TIMESTAMP-FREE NETWORK SYNCHRONIZATION
Mitchell Overdick, Joseph Canfield, Andrew Klein, Western Washington University, United States; D. Richard Brown, Worcester Polytechnic Institute, United States
DISPS-P1.9: MOTION CLUSTERING WITH HYBRID-SAMPLE-BASED FOREGROUND SEGMENTATION FOR MOVING CAMERAS
Yi-Chan Wu, Ching-Te Chiu, National Tsing Hua University, Taiwan
DISPS-P1.10: FIXED-POINT OPTIMIZATION OF DEEP NEURAL NETWORKS WITH ADAPTIVE STEP SIZE RETRAINING
Sungho Shin, Yoonho Boo, Wonyong Sung, Seoul National University, Republic of Korea
IVMSP-L1.1: DEEPTEXT: A NEW APPROACH FOR TEXT PROPOSAL GENERATION AND TEXT DETECTION IN NATURAL IMAGES
Zhuoyao Zhong, Lianwen Jin, Shuangping Huang, South China University of Technology, China
IVMSP-L1.2: ON CLASSIFICATION OF DISTORTED IMAGES WITH DEEP CONVOLUTIONAL NEURAL NETWORKS
Yiren Zhou, Sibo Song, Ngai-Man Cheung, Singapore University of Technology and Design, Singapore
IVMSP-L1.3: HIERARCHICAL SALIENCY OPTIMIZATION
Hanpei Yang, Weihai Li, University of Science and Technology of China, China
IVMSP-L1.4: LEARNING GRASSMANN MANIFOLDS FOR OBJECT STATE DISCOVERY
Hao-Wei Lee, University of Toronto, Canada; Chia-Po Wei, Yu-Chiang Frank Wang, Academia Sinica, Taiwan
IVMSP-L1.5: ASYMMETRIC CROSS-VIEW DICTIONARY LEARNING FOR PERSON RE-IDENTIFICATION
Minyue Jiang, Yuan Yuan, Qi Wang, Northwestern Polytechnical University, China
IVMSP-L1.6: COLOR CHANNEL-WISE RECURRENT LEARNING FOR FACIAL EXPRESSION RECOGNITION
Jinhyeok Jang, Dae Hoe Kim, Hyung-Il Kim, Yong Man Ro, Korea Advanced Institute of Science and Technology,
IVMSP-L2.1: FROM IMAGE QUALITY TO PATCH QUALITY: AN IMAGE-PATCH MODEL FOR NO-REFERENCE IMAGE QUALITY ASSESSMENT
Wen Heng, Tingting Jiang, National Engineering Laboratory for Video Technology, Cooperative Medianet Innovation Center, School of Electronics Engineering and Computer Science, Peking University, China
IVMSP-L2.2: UNIQUE: UNSUPERVISED IMAGE QUALITY ESTIMATION
Dogancan Temel, Mohit Prabhushankar, Ghassan AlRegib, Georgia Institute of Technology, United States
IVMSP-L2.3: STATISTICS OF NATURAL FUSED IMAGE DISTORTIONS
David Eduardo Moreno-Villamarín, Hernán Darío Benítez-Restrepo, Pontificia Universidad Javeriana, Seccional Cali, Colombia; Alan Conrad Bovik, The University of Texas at Austin, Colombia
IVMSP-L2.4: NIQSV: A NO REFERENCE IMAGE QUALITY ASSESSMENT METRIC FOR 3D SYNTHESIZED VIEWS
Shishun Tian, Lu Zhang, Luce Morin, Olivier Déforges, National Institute of Applied Sciences (INSA Rennes), France
IVMSP-L2.5: GRADIENT MAGNITUDE SIMILARITY DEVIATION ON MULTIPLE SCALES FOR COLOR IMAGE QUALITY ASSESSMENT
Bo Zhang, Pedro V. Sander, Amine Bermak, Hong Kong University of Science and Technology, Hong Kong SAR of China
IVMSP-L2.6: REGISTRATION BASED RETARGETED IMAGE QUALITY ASSESSMENT
Bo Zhang, Pedro V. Sander, Amine Bermak, Hong Kong University of Science and Technology, Hong Kong SAR of China
IVMSP-L3.1: LARGE INPAINTING OF FACE IMAGES WITH TRAINLETS
Jeremias Sulam, Michael Elad, Technion - Israel Institute of Technology, Israel
IVMSP-L3.2: HIERARCHICAL STRUCTURED DICTIONARY LEARNING FOR IMAGE CATEGORIZATION
Tzu-Chan Chuang, National Tsing Hua University, Taiwan; Chen-Kuo Chiang, National Chung Cheng University, Taiwan; Shang-Hong Lai, National Tsing Hua University, Taiwan
IVMSP-L3.3: MAKING AND GAMING IN SIGNAL PROCESSING CLASSES
Richard Martin, The Air Force Institute of Technology, United States; Andrew Klein, Western Washington University, United States; Jennifer Hefner, Cody Watson, The Air Force Institute of Technology, United States; Kirsten Basinet, Western Washington University, United States
IVMSP-L3.4: SKIN DETECTION BASED ON MULTI-SEED PROPAGATION IN A MULTI-LAYER GRAPH FOR REGIONAL AND COLOR CONSISTENCY
Insung Hwang, Samsung Electronics, Republic of Korea; Yoonsik Kim, Nam Ik Cho, Seoul National University, Republic of Korea
IVMSP-L3.5: DFVR: DEFORMABLE FINGER VEIN RECOGNITION
Qing Chen, Shandong University, China; Lu Yang, Shandong University of Finance and Economics, China; Gongping Yang, Yilong Yin, Shandong University, China; Xianjing Meng, Shandong University of Finance and Economics, China
IVMSP-L3.6: FUSING STRUCTURE FROM MOTION AND LIDAR FOR DENSE ACCURATE DEPTH MAP ESTIMATION
Li Ding, Gaurav Sharma, University of Rochester, United States
IVMSP-L4.1: COLOR PREDICTION IN IMAGE CODING USING STEERED MIXTURE-OF-EXPERTS
Ruben Verhack, Ghent University - iMinds / Technische Universität Berlin, Belgium; Simon Van De Keer, Glenn Van Wallendael, Ghent University - iMinds, Belgium; Thomas Sikora, Technische Universität Berlin, Germany; Peter Lambert, Ghent University - iMinds, Belgium
IVMSP-L4.2: JOINTLY OPTIMIZED TRANSFORM DOMAIN TEMPORAL PREDICTION AND SUB-PIXEL INTERPOLATION
Shunyao Li, Tejaswi Nanjundaswamy, Kenneth Rose, University of California, Santa Barbara, United States
IVMSP-L4.3: A CONSTRAINED ADAPTIVE SCAN ORDER APPROACH TO TRANSFORM COEFFICIENT ENTROPY CODING
Ching-Han Chiang, Jingning Han, Yaowu Xu, Google Inc., United States
IVMSP-L4.4: A CACHE-BASED BANDWIDTH OPTIMIZED MOTION COMPENSATION ARCHITECTURE FOR VIDEO DECODER
Meng Li, Huizhu Jia, Xiaodong Xie, Peking University, China; Jason Cong, University of California, Los Angeles, United States; Wen Gao, Peking University, China
IVMSP-L4.5: SYNTAX ELEMENT PARTITIONING FOR HIGH-THROUGHPUT HEVC CABAC DECODING
Philipp Habermann, Technische Universität Berlin, Germany; Chi Ching Chi, Mauricio Alvarez-Mesa, Spin Digital Video Technologies GmbH, Germany; Ben Juurlink, Technische Universität Berlin, Germany
IVMSP-L4.6: HOMOGRAPHY-BASED LOW RANK APPROXIMATION OF LIGHT FIELDS FOR COMPRESSION
Xiaoran Jiang, Mikael Le Pendu, Inria, France; Reuben A. Farrugia, University of Malta, Malta; Sheila S. Hemami, Northeastern University, United States; Christine Guillemot, Inria, France
IVMSP-L5.1: ROBUST REMOVAL OF FIXED PATTERN NOISE ON MULTI-FOCUS IMAGES
Kazuya Kodama, Kenta Fukui, National Institute of Informatics, Japan; Takayuki Hamamoto, Tokyo University of Science, Japan
IVMSP-L5.2: PARAMETER-FREE PLUG-AND-PLAY ADMM FOR IMAGE RESTORATION
Xiran Wang, Stanley Chan, Purdue University, United States
IVMSP-L5.3: BLIND IMAGE DEBLURRING BASED ON SPARSE REPRESENTATION AND STRUCTURAL SELF-SIMILARITY
Jing Yu, Beijing University of Technology, China; Zhenchun Chang, Tsinghua University, China; Chuangbai Xiao, Beijing University of Technology, China; Weidong Sun, Tsinghua University, China
IVMSP-L5.4: EXTREME IMAGE COMPLETION
Radhakrishna Achanta, Nikolaos Arvanitopoulos, Sabine Süsstrunk, École Polytechnique Fédérale de Lausanne, Switzerland
IVMSP-L5.5: SYNTHESIS VERSUS ANALYSIS IN PATCH-BASED IMAGE PRIORS
Mário Figueiredo, Instituto Superior Técnico, University of Lisbon, Portugal
IVMSP-L5.6: IMAGE DENOISING VIA COLLABORATIVE SUPPORT-AGNOSTIC RECOVERY
Muzammil Behzad, Mudassir Masood, King Fahd University of Petroleum and Minerals, Saudi Arabia; Tarig Ballal, King Abdullah University of Science and Technology, Saudi Arabia; Maha Shadaydeh, Hungarian Academy of Sciences, Hungary; Tareq Y. Al-Naffouri, King Abdullah University of Science and Technology, Saudi Arabia
IVMSP-L6.1: SON OF ZORN’S LEMMA: TARGETED STYLE TRANSFER USING INSTANCE-AWARE SEMANTIC SEGMENTATION
Carlos Castillo, Soham De, Xintong Han, Bharat Singh, Abhay Yadav, Tom Goldstein, University of Maryland, United States
IVMSP-L6.2: 1+N FUSION: CASCADED SELF-PORTRAIT ENHANCEMENT
Shuai Yang, Jiaying Liu, Sifeng Xia, Zongming Guo, Peking University, China
IVMSP-L6.3: 3D COLORED MESH GRAPH SIGNALS MULTI-LAYER MORPHOLOGICAL ENHANCEMENT
Olivier Lézoray, Normandie Univ, France
IVMSP-L6.4: RETINEX-BASED PERCEPTUAL CONTRAST ENHANCEMENT IN IMAGES USING LUMINANCE ADAPTATION
Kaiqiang Xu, Cheolkon Jung, Xidian University, China
IVMSP-L6.5: A BAYESIAN MULTI-FRAME IMAGE SUPER-RESOLUTION ALGORITHM USING THE GAUSSIAN INFORMATION FILTER
Matthew Woods, Aggelos Katsaggelos, Northwestern University, United States
IVMSP-L6.6: A NEW TWO-DIMENSIONAL FOURIER TRANSFORM ALGORITHM BASED ON IMAGE SPARSITY
Sheng Shi, Runkai Yang, Haihang You, Institute of Computing Technology, Chinese Academy of Sciences, China
IVMSP-L7.1: ANCHOR-BASED GROUP DETECTION IN CROWD SCENES
Mulin Chen, Qi Wang, Northwestern Polytechnical University, China; Xuelong Li, Xi’an Institute of Optics and Precision Mechanics, China
IVMSP-L7.2: DEEP-NET FUSION TO CLASSIFY SHOTS IN CONCERT VIDEOS
Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Institute of Information Science, Academia Sinica, Taiwan; Yi-Hsuan Yang, Research Center for Information Technology, Academia Sinica, Taiwan; Hsin-Min Wang, Institute of Information Science, Academia Sinica, Taiwan; Hsiao-Rong Tyan, Chung Yuan Christian University, Taiwan; Hong-Yuan Mark Liao, Institute of Information Science, Academia Sinica, Taiwan
IVMSP-L7.3: SPARSE MODELING FOR TOPIC-ORIENTED VIDEO SUMMARIZATION
Rameswar Panda, Amit Roy-Chowdhury, University of California, Riverside, United States
IVMSP-L7.4: SUBJECTIVE AND OBJECTIVE QUALITY ASSESSMENT OF MOBILE VIDEOS WITH IN-CAPTURE DISTORTIONS
Deepti Ghadiyaram, Janice Pan, Alan Conrad Bovik, The University of Texas at Austin, United States; Anush Moorthy, Netflix Inc., United States; Prasanjit Panda, Kai-Chieh Yang, Qualcomm Technologies, Inc., United States
IVMSP-L7.5: TRAFFIC CONGESTION ANALYSIS: A NEW PERSPECTIVE
Jia Wan, Yuan Yuan, Qi Wang, Northwestern Polytechnical University, China
IVMSP-L7.6: OPTICAL-FLOW FEATURES EMPIRICAL MODE DECOMPOSITION FOR MOTION ANOMALY DETECTION
Moacir Ponti, Tiago Nazare, University of São Paulo, Brazil; Josef Kittler, University of Surrey, United Kingdom
IVMSP-L8.1: A ROBUST FEATURE DESCRIPTOR BASED ON MULTIPLE GRADIENT-RELATED FEATURES
Zhaomang Sun, Fei Zhou, Qingmin Liao, Tsinghua University, China
IVMSP-L8.2: SCALE SELECTIVE EXTENDED LOCAL BINARY PATTERN FOR TEXTURE CLASSIFICATION
Yuting Hu, Zhiling Long, Ghassan AlRegib, Georgia Institute of Technology, United States
IVMSP-L8.3: ILLUMINATION-ROBUST FACE RECOGNITION WITH BLOCK-BASED LOCAL CONTRAST PATTERNS
Yichuan Wang, Zhen Xu, Weifeng Li, Qingmin Liao, Graduate School at Shenzhen, Tsinghua University, China
IVMSP-L8.4: IDENTIFYING A MULTIPLE PLANE PLENOPTIC FUNCTION FROM A SWIPED IMAGE
Michael Lawson, Mike Brookes, Pier Luigi Dragotti, Imperial College London, United Kingdom
IVMSP-L8.5: UNSUPERVISED FEATURE EXTRACTION FOR HYPERSPECTRAL IMAGES USING COMBINED LOW RANK REPRESENTATION AND LOCALLY LINEAR EMBEDDING
Mengdi Wang, Tsinghua University, China; Jing Yu, Beijing University of Technology, China; Lijuan Niu, Chinese Academy of Medical Sciences, China; Weidong Sun, Tsinghua University, China
IVMSP-L8.6: HUMAN ACTION RECOGNITION USING ADAPTIVE HIERARCHICAL DEPTH MOTION MAPS AND GABOR FILTER
Hong Liu, Qinqin He, Mengyuan Liu, Peking University, China
IVMSP-P1.1: SPARSE INVERSE BILATERAL FILTERS FOR IMAGE PROCESSING
Akshay Gadde, University of Southern California, United States; Mengying Xu, Tsinghua University, China; Antonio Ortega, University of Southern California, United States
IVMSP-P1.2: INTEGER 2-D DISCRETE FOURIER TRANSFORM PAIRS AND EIGENVECTORS USING RAMANUJAN'S SUM
Soo-Chang Pei, Kuo-Wei Chang, National Taiwan University, Taiwan
IVMSP-P1.3: GENERAL SCALE INTERPOLATION VIA CONTEXT-AWARE AUTOREGRESSIVE MODEL AND MULTIPLANAR CONSTRAINT
Shihong Deng, Jiaying Liu, Mading Li, Wenhan Yang, Zongming Guo, Peking University, China
IVMSP-P1.4: WAVELET-BASED SINGLE IMAGE SUPER-RESOLUTION WITH AN OVERALL ENHANCEMENT PROCEDURE
Zongqing Lu, Quan Zou, Fei Zhou, Qingmin Liao, Tsinghua University, China
IVMSP-P1.5: MOTION COMPENSATED FRAME RATE UP-CONVERSION USING 3D FREQUENCY SELECTIVE EXTRAPOLATION AND A MULTI-LAYER CONSISTENCY CHECK
Michel Bätz, Fabian Brand, Andrea Eichenseer, André Kaup, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany
IVMSP-P1.6: GUIDED DEEP NETWORK FOR DEPTH MAP SUPER-RESOLUTION: HOW MUCH CAN COLOR HELP?
Wentian Zhou, Xin Li, Daryl Reynolds, West Virginia university, United States
IVMSP-P1.7: BESTA-DIVERGENCE-BASED VARIATIONAL MODEL FOR SPECKLE REDUCTION
Hyenkyun Woo, Junhong Ha, Korea University of Technology and Education, Korea (South)
IVMSP-P1.8: FREE SPACE ESTIMATION ON NONFLAT PLANE BASED ON V-DISPARITY
Lei Qu, Kangru Wang, Lili Chen, Yuzhang Gu, Xiaolin Zhang, Chinese Academy of Sciences, China
IVMSP-P1.9: GRADIENT DIRECTION FOR SCREEN CONTENT IMAGE QUALITY ASSESSMENT
Zhangkai Ni, Huaqiao University, China; Lin Ma, Huawei Noah’s Ark Research Lab, China; Huanqiang Zeng, Canhui Cai, Huaqiao University, China; Kai-Kuang Ma, Nanyang Technological University, Singapore
IVMSP-P1.10: AN EFFICIENT FRAMEWORK FOR AUTOMATIC HIGHLIGHTS GENERATION FROM SPORTS VIDEOS
Ali Ali Javed, Khalid Bashir Bajwa, University of Engineering and Technology-Taxila, Pakistan; Hafiz Malik, University of Michigan - Dearborn, United States; Syed Aun Irtaza, University of Engineering and Technology-Taxila, Pakistan
IVMSP-P2.1: EFFICIENT REPRESENTATION OF SEGMENTATION CONTOURS USING CHAIN CODES
Francesco Verdoja, Marco Grangetto, University of Turin, Italy
IVMSP-P2.2: ROBUST TRANSFORM LEARNING
Jyoti Maggu, Angshul Majumdar, IIITD, India
IVMSP-P2.3: LOCALITY SENSITIVE HASHING BASED DEEPMATCHING FOR OPTICAL FLOW ESTIMATION
Chen Wang, Tsinghua University, China; Danyi Li, Chinese Academy of Sciences, China; Zongqing Lu, Qingmin Liao, Tsinghua University, China
IVMSP-P2.4: UNCONSTRAINED FACE IDENTIFICATION WITH MULTI-SCALE BLOCK-BASED CORRELATION
Jack Gaston, Ji Ming, Danny Crookes, Queen’s University Belfast, United Kingdom
IVMSP-P2.5: FACE RECOGNITION IN REAL-WORLD IMAGES
Xavier Fontaine, Radhakrishna Achanta, Sabine Süsstrunk, École Polytechnique Fédérale de Lausanne, Switzerland
IVMSP-P2.6: OPTIMIZING NON CONSTANT LUMINANCE INTO CONSTANT LUMINANCE FOR HIGH DYNAMIC RANGE VIDEO DISTRIBUTION
Fujun Xie, Ronan Boitard, Mahsa Pourazad, Panos Nasiopoulos, University of British Columbia, Canada
IVMSP-P2.7: EDGE-PRESERVING FILTERING BY PROJECTION ONTO L0 GRADIENT CONSTRAINT
Shunsuke Ono, Tokyo Institute of Technology, Japan
IVMSP-P2.8: GREEDY SEARCH FOR DESCRIPTIVE SPATIAL FACE FEATURES
Caner Gacav, Visea Innovative Information Technologies, Turkey; Burak Benligiray, Cihan Topal, Anadolu University, Turkey
IVMSP-P2.9: KEY FRAMES EXTRACTION USING GRAPH MODULARITY CLUSTERING FOR EFFICIENT VIDEO SUMMARIZATION
Hana Gharbi, Sahbi Bahroun, Mohamed Massaoudi, Ezzeddine Zagrouba, Laboratoire LIMTIC, Tunisia
IVMSP-P2.10: IMPROVING MESH-BASED MOTION COMPENSATION BY USING EDGE ADAPTIVE GRAPH-BASED COMPENSATED WAVELET LIFTING FOR MEDICAL DATA SETS
Daniela Lanz, André Kaup, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
IVMSP-P3.1: IMAGE COMPRESSION WITH STOCHASTIC WINNER-TAKE-ALL AUTO-ENCODER
Thierry Dumas, Aline Roumy, Christine Guillemot, Inria, France
IVMSP-P3.2: DIRECTIONAL GRAPH WEIGHT PREDICTION FOR IMAGE COMPRESSION
Francesco Verdoja, Marco Grangetto, University of Turin, Italy
IVMSP-P3.3: COLOR IMAGE CODING BASED ON LINEAR COMBINATION OF ADAPTIVE COLORSPACE
Takanori Fujisawa, Masaaki Ikehara, Keio University, Japan
IVMSP-P3.4: IMPACT ANALYSIS OF BASEBAND QUANTIZER ON CODING EFFICIENCY FOR HDR VIDEO
Chau-Wai Wong, University of Maryland, College Park, United States; Guan-Ming Su, Dolby Laboratories, United States; Min Wu, University of Maryland, College Park, United States
IVMSP-P3.5: EFFICIENT MODE DECISION FOR NOISY VIDEO TRANSCODING
Anna Zhang, Zhen Han, Zhongyuan Wang, National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, China
IVMSP-P3.6: A FAST INTRA-PREDICTION DECISION ALGORITHM IN INTER-FRAME BASED ON A NOVEL FEATURE OF HEVC
Tingting Wang, Yangyang Men, Yihao Zhang, Hongyang Chao, Sun Yat-sen University, China
IVMSP-P3.7: INTER-BLOCK DEPENDENCIES CONSIDERATION FOR INTRA CODING IN H.264/AVC AND HEVC STANDARDS
Maxime Bichon, Ericsson / INSA de Rennes, France; Julien Le Tanou, Michael Ropert, Ericsson, France; Wassim Hamidouche, Luce Morin, Lu Zhang, INSA de Rennes, France
IVMSP-P3.8: A NEW PERCEPTUAL ASSESSMENT METHODOLOGY FOR SELECTIVE HEVC VIDEO ENCRYPTION
Naty Sidaty, Wassim Hamidouche, Olivier Déforges, ITER Lab. CNRS 6164, France
IVMSP-P3.9: HIGH-LEVEL SYNTHESIS IMPLEMENTATION OF HEVC 2-D DCT/DST ON FPGA
Panu Sjövall, Vili Viitamäki, Jarno Vanne, Timo D. Hämäläinen, Tampere University of Technology, Finland
IVMSP-P3.10: COMPLEXITY CONTROL OF HEVC FOR VIDEO CONFERENCING
Xin Deng, Imperial College London, United Kingdom; Mai Xu, Beihang University, China
IVMSP-P4.1: ORGB: OFFSET CORRECTION IN RGB COLOR SPACE FOR ILLUMINATION-ROBUST IMAGE PROCESSING
Zhenqiang Ying, Ge Li, Shenzhen Graduate School, Peking University, China; Sixin Wen, Guozhen Tan, Dalian University of Technology, China
IVMSP-P4.2: REFLECTIONS: AN EMODULE FOR ECHOLOCATION EDUCATION
Benjamin Robistow, Robert Newman, Thomas DePue, Mahesh Banavar, Dana Barry, Clarkson University, United States; Paul Curtis, Andreas Spanias, Arizona State University, United States
IVMSP-P4.3: IMPLEMENTATION STRATEGIES OF THE SEISMIC FULL WAVEFORM INVERSION
Reynaldo F. Noriega, Ana B. Ramirez, Sergio A. Abreo, Industrial University of Santander, Colombia; Gonzalo R. Arce, University of Delaware, United States
IVMSP-P4.4: MODIFIED NONNEGATIVE MATRIX FACTORIZATION FOR ENDMEMBER SPECTRA EXTRACTION FROM HIGHLY MIXED HYPERSPECTRAL IMAGES COMBINED WITH MULTISPECTRAL DATA
Moussa Sofiane Karoui, Centre des Techniques Spatiales, Algeria; Shahram Hosseini, Yannick Deville, IRAP, Université de Toulouse, UPS-OMP, CNRS, France; Abdelaziz Ouamri, Université des Sciences et de la Technologie, Algeria; Inès Meganem, Alyotech, France
IVMSP-P4.5: LOCAL TRILATERAL UPSAMPLING FOR THERMAL IMAGE
Aleksandar Cvetkovic, University of Belgrade, Serbia; Toshikazu Wada, Wakayama University, Japan
IVMSP-P4.6: REGULARIZATION OF GEOPHYSICAL INVERSION USING DICTIONARY LEARNING
Michael Bianco, Peter Gerstoft, University of California, San Diego, United States
IVMSP-P4.7: PHASE CONGRUENCY FOR IMAGE UNDERSTANDING WITH APPLICATIONS IN COMPUTATIONAL SEISMIC INTERPRETATION
Muhammad Amir Shafiq, Yazeed Alaudah, Ghassan AlRegib, Georgia Institute of Technology, United States; Mohamed Deriche, King Fahd University of Petroleum and Minerals, Saudi Arabia
IVMSP-P5.1: SYNCHRONIZATION FOR MULTI-PERSPECTIVE VIDEOS IN THE WILD
Junwei Liang, Poyao Huang, Jia Chen, Alexander Hauptmann, Carnegie Mellon University, United States
IVMSP-P5.2: TEMPORAL LOCALIZATION OF AUDIO EVENTS FOR CONFLICT MONITORING IN SOCIAL MEDIA
Junwei Liang, Lu Jiang, Alexander Hauptmann, Carnegie Mellon University, United States
IVMSP-P5.3: ACTION-VECTORS: UNSUPERVISED MOVEMENT MODELING FOR ACTION RECOGNITION
Debaditya Roy, K. Sri Rama Murty, C. Krishna Mohan, Indian Institute of Technology Hyderabad, India
IVMSP-P5.4: LEARNING A HIERARCHICAL SPATIO-TEMPORAL MODEL FOR HUMAN ACTIVITY RECOGNITION
Wanru Xu, Zhenjiang Miao, Beijing Jiaotong University, China; Xiao-Ping Zhang, Ryerson University, Canada; Yi Tian, Beijing Jiaotong University, China
IVMSP-P5.5: FAST CAMERA SELF-CALIBRATION FOR SYNTHESIZING FREE VIEWPOINT SOCCER VIDEO
Qiang Yao, KDDI R&D Laboratories, Inc., Japan; Akira Kubota, Chuo University, Japan; Kaoru Kawakita, Robit Inc., Japan; Keisuke Nonaka, Hiroshi Sankoh, Sei Naito, KDDI R&D Laboratories, Inc., Japan
IVMSP-P5.6: DYNAMIC TRACKING ATTENTION MODEL FOR ACTION RECOGNITION
Chien-Yao Wang, Chin-Chin Chiang, National Central University, Taiwan; Jian-Jiun Ding, National Taiwan University, Taiwan; Jia-Ching Wang, National Central University, Taiwan
IVMSP-P5.7: REALISTIC HUMAN ACTION RECOGNITION: WHEN CNNS MEET LDS
Lei Zhang, Yangyang Feng, Xuezhi Xiang, Harbin Engineering University, China; Xiantong Zhen, University of Western Ontario, Canada
IVMSP-P5.8: SUMMARIZATION OF HUMAN ACTIVITY VIDEOS VIA LOW-RANK APPROXIMATION
Ioannis Mademlis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
IVMSP-P5.9: INPAINTING-BASED ERROR CONCEALMENT FOR LOW-DELAY VIDEO COMMUNICATION
Ahmed Aldahdooh, Marcus Barkowsky, University of Nantes, France; David R. Bull, University of Bristol, United Kingdom; Patrick Le Callet, University of Nantes, United Kingdom
IVMSP-P5.10: MEASUREMENT OF 2D VIBRATION MODES USING AMPLIFICATION OF HIGH SPEED VIDEO IN THE PRESENCE OF NOISE
Hugh Hopper, Daniel Zheng, Roberto Faventi, Ruth Voisey, Dyson Ltd, United Kingdom
IVMSP-P6.1: DEEP SALIENCE MAP GUIDED ARBITRARY DIRECTION SCENE TEXT RECOGNITION
Xinhao Liu, Takahito Kawanishi, Xiaomeng Wu, Kaoru Hiramatsu, Kunio Kashino, NTT Corporation, Japan
IVMSP-P6.2: SUPERPIXEL-GUIDED CFAR DETECTION OF SHIPS AT SEA IN SAR IMAGERY
Odysseas Pappas, Alin Achim, David R. Bull, University of Bristol, United Kingdom
IVMSP-P6.3: OBJECT DETECTION REFINEMENT USING MARKOV RANDOM FIELD BASED PRUNING AND LEARNING BASED RESCORING
Naoto Inoue, Ryosuke Furuta, Toshihiko Yamasaki, Kiyoharu Aizawa, The University of Tokyo, Japan
IVMSP-P6.4: FACIAL ATTRACTIVENESS PREDICTION USING PSYCHOLOGICALLY INSPIRED CONVOLUTIONAL NEURAL NETWORK (PI-CNN)
Jie Xu, Lianwen Jin, Lingyu Liang, Ziyong Feng, Duorui Xie, Huiyun Mao, South China University of Technology, China
IVMSP-P6.5: FEATURE++: CROSS DIMENSION FEATURE FUSION FOR ROAD DETECTION
Wenli He, Xiamen University, China; Guorong Cai, Jimei University, China; Zhun Zhong, Songzhi Su, Xiamen University, China
IVMSP-P6.6: TRANSFERRING CLOTHING PARSING FROM FASHION DATASET TO SURVEILLANCE
Qi Zheng, Jun Chen, Chao Liang, Wenhua Fang, Xiaoyuan Jing, Ruimin Hu, Wuhan University, China
IVMSP-P6.7: EXAMPLE-BASED VISUAL OBJECT COUNTING FOR COMPLEX BACKGROUND WITH A LOCAL LOW-RANK CONSTRAINT
Xiaolin Huang, Yuexian Zou, Yi Wang, Peking University, China
IVMSP-P6.8: COLLABORATIVE VOTING OF 3D FEATURES FOR ROBUST GESTURE ESTIMATION
Daniel van Sabben, Javier Ruiz-Hidalgo, Universitat Politècnica de Catalunya, Spain; Xavier Suau, Fezzo, Spain; Josep R. Casas, Universitat Politècnica de Catalunya, Spain
IVMSP-P6.9: ITERATIVE DIFFUSION-BASED ANOMALY DETECTION
Gal Mishne, Israel Cohen, Technion - Israel Institute of Technology, Israel
IVMSP-P7.2: NOVEL MEDICAL VIDEO COMPRESSION METHODS OVER LOSSLESS HEVC CODER
Yao-Jen Chang, Industrial Technology Research Institute (ITRI), Taiwan; Pei-Hsuan Tsai, National Cheng Kung University, Taiwan; Chun-Lung Lin, Industrial Technology Research Institute, Taiwan
IVMSP-P7.3: INTERPRETABLE HUMAN ACTION RECOGNITION IN COMPRESSED DOMAIN
Vignesh Srinivasan, Sebastian Lapuschkin, Cornelius Hellge, Fraunhofer Heinrich Hertz Institute, Germany; Klaus-Robert Müller, Technische Universität Berlin, Germany; Wojciech Samek, Fraunhofer Heinrich Hertz Institute, Germany
IVMSP-P7.4: DATA-DRIVEN FUSION OF MULTI-CAMERA VIDEO SEQUENCES: APPLICATION TO ABANDONED OBJECT DETECTION
Suchita Bhinge, Yuri Levin-Schwartz, Tülay Adali, University of Maryland, Baltimore County, United States
IVMSP-P7.5: ONLINE ACTION DETECTION AND FORECAST VIA MULTITASK DEEP RECURRENT NEURAL NETWORKS
Chunhui Liu, Yanghao Li, Yueyu Hu, Jiaying Liu, Peking University, China
IVMSP-P7.6: EDITED FILM ALIGNMENT VIA SELECTIVE HOUGH TRANSFORM AND ACCURATE TEMPLATE MATCHING
Xiaomeng Wu, Takahito Kawanishi, Minoru Mori, Kaoru Hiramatsu, Kunio Kashino, NTT Communication Science Laboratories, NTT Corporation, Japan
IVMSP-P7.7: A DUAL ESTIMATION APPROACH FOR REMOVING THE SHOW-THROUGH EFFECT IN THE SCANNED DOCUMENTS
Sabita Langkam, Alok Kanti Deb, INDIAN INSTITUTE OF TECHNOLOGY KHARAGPUR, India
IVMSP-P7.8: DOUBLE-BIT QUANTIZATION AND WEIGHTING FOR NEAREST NEIGHBOR SEARCH
Han Deng, Hongtao Xie, Wei Ma, Zhendong Mao, Institute of Information Engineering, Chinese Academy of Sciences, China; Chuan Zhou, University of Chinese Academy of Sciences, China
IVMSP-P7.9: APPEARANCE-BASED GESTURE RECOGNITION IN THE COMPRESSED DOMAIN
Shaojie Xu, Anvesha Amaravati, Justin Romberg, Arijit Raychowdhury, Georgia Institute of Technology, United States
IVMSP-P7.10: FEATURE-BASED ROI GENERATION FOR STEREO-BASED PEDESTRIAN DETECTION
Maral Mesmakhosroshahi, Maziar Loghman, Joohee Kim, Illinois Institute of Technology, United States
IVMSP-P8.1: HOW SHOULD WE EVALUATE SUPERVISED HASHING?
Alexandre Sablayrolles, Matthijs Douze, Nicolas Usunier, Hervé Jégou, Facebook AI Research, France
IVMSP-P8.2: REGIONAL DEEP FEATURE AGGREGATION FOR IMAGE RETRIEVAL
Dong-ju Jeong, Sungkwon Choo, Wonkyo Seo, Nam Ik Cho, Seoul National University, Korea (South)
IVMSP-P8.3: IMAGE RETRIEVAL BASED ON DEEP CONVOLUTIONAL NEURAL NETWORKS AND BINARY HASHING LEARNING
Tian-Qiang Peng, Fang Li, Henan Institute of Engineering, China
IVMSP-P8.4: EFFECTIVE FISHER VECTOR AGGREGATION FOR 3D OBJECT RETRIEVAL
Jean-Baptiste Boin, André Araujo, Stanford University, United States; Lamberto Ballan, University of Florence, Italy; Bernd Girod, Stanford University, United States
IVMSP-P8.5: FEATURE ENCODING IN BAND-LIMITED DISTRIBUTED SURVEILLANCE SYSTEMS
Alireza Rahimpour, Ali Taalimi, Hairong Qi, University of Tennessee, Knoxville, United States
IVMSP-P8.6: ENHANCED CANONICAL CORRELATION ANALYSIS WITH LOCAL DENSITY FOR CROSS-DOMAIN VISUAL CLASSIFICATION
Wei-Jen Ko, Jheng-Ying Yu, Wei-Yu Chen, National Taiwan University, Taiwan; Yu-Chiang Frank Wang, Academia Sinica, Taiwan
IVMSP-P8.7: BAG OF FISHER VECTORS REPRESENTATION OF IMAGES BY SALIENCY-BASED SPATIAL PARTITIONING
Abin Jose, Iris Heisterklaus, Rheinisch-Westfälische Technische Hochschule Aachen Univerisity, Germany
IVMSP-P8.8: A COMPACT PAIRWISE TRAJECTORY REPRESENTATION FOR ACTION RECOGNITION
Qingya Huang, Shan Sun, Feng Wang, East China Normal University, China
IVMSP-P8.9: BODY STRUCTURE BASED TRIPLET CONVOLUTIONAL NEURAL NETWORK FOR PERSON RE-IDENTIFICATION
Hong Liu, Weipeng Huang, Peking University, China
IVMSP-P8.10: LPCV: LEARNING PROJECTIONS FROM CORRESPONDING VIEWS FOR PERSON RE-IDENTIFICATION
Hong Liu, Qiao Guan, peking university, China
IVMSP-P9.1: PATCH-BASED MULTIPLE VIEW IMAGE DENOISING WITH OCCLUSION HANDLING
Shiwei Zhou, Yu-Hen Hu, Hongrui Jiang, University of Wisconsin-Madison, United States
IVMSP-P9.2: IMAGE DENOISING VIA GROUP SPARSITY RESIDUAL CONSTRAINT
Zhiyuan Zha, Nanjing University, China; Xin Liu, Ziheng Zhou, Xiaohua Huang, Jingang Shi, University of Oulu, Finland; Zhenhong Shang, Kunming University of Science and Technology, China; Lan Tang, Yechao Bai, Qiong Wang, Xinggan Zhang, Nanjing University, China
IVMSP-P9.3: STEREO IMAGE DE-FENCING USING SMARTPHONES
Sankaraganesh Jonna, Sukla Satapathy, Rajiv Sahay, Indian Institute of Technology Kharagpur, India
IVMSP-P9.4: HEVC-BASED MOTION COMPENSATED JOINT TEMPORAL-SPATIAL VIDEO DENOISING
Minhao Tang, Tsinghua University, China; Yuxing Han, Nanjing Yunyan Technology Ltd, China; Jiangtao Wen, Shiqiang Yang, Tsinghua University, China
IVMSP-P9.5: EFFECTIVE COMPRESSIVE SENSING VIA REWEIGHTED TOTAL VARIATION AND WEIGHTED NUCLEAR NORM REGULARIZATION
Mingli Zhang, Christian Desrosiers, École de Technologie Supérieure, Canada; Caiming Zhang, Shandong Provincial Key Laboratory of Digital Media Technology, China
IVMSP-P9.6: BOREHOLE IMAGE CORRESPONDENCE AND AUTOMATED ALIGNMENT
Andriy Gelman, Arnaud Jarrot, Alexis He, Josselin Kherroubi, Robert Laronga, Schlumberger, United States
IVMSP-P9.7: COLOR DEMOSAICKING VIA NONLOCAL TENSOR REPRESENTATION
Lili Huang, Guangxi University of Science and Technology, China; Xuan Wu, Nanjing University of Science and Technology, China; Wenze Shao, Nanjing University of Posts and Telecommunications, China; Hongyi Liu, Zhihui Wei, Liang Xiao, Nanjing University of Science and Technology, China
IVMSP-P9.8: BLIND IMAGE DECONVOLUTION USING STUDENT’S-T PRIOR WITH OVERLAPPING GROUP SPARSITY
In S. Jeon, Deokyoung Kang, Suk I. Yoo, Seoul National University, Republic of Korea
IVMSP-P9.9: SPATIO-TEMPORAL BINARY VIDEO INPAINTING VIA THRESHOLD DYNAMICS
Maria Oliver, Roberto P. Palomares, Coloma Ballester, Gloria Haro, Universitat Pompeu Fabra, Spain
IVMSP-P9.10: EXEMPLAR-BASED IMAGE COMPLETION VIA NEW QUALITY MEASURE BASED ON PHASELESS TEXTURE FEATURES
Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan
IVMSP-P10.1: GOOD FEATURES TO TRACK FOR RGBD IMAGES
Maxim Karpushin, LTCI, Telecom Paristech, Université Paris Saclay, France; Giuseppe Valenzise, Frederic Dufaux, L2S, CNRS - CentraleSupélec - Université Paris-Sud, France
IVMSP-P10.2: EXEMPLAR-EMBED COMPLEX MATRIX FACTORIZATION FOR FACIAL EXPRESSION RECOGNITION
Viet-Hang Duong, Yuan-Shan Lee, National Central University, Taiwan; Jian-Jiun Ding, National Taiwan University, Taiwan; Bach-Tung Pham, Manh-Quan Bui, National Central University, Taiwan; Pham The Bao, University of Science, Viet Nam; Jia-Ching Wang, National Central University, Taiwan
IVMSP-P10.3: LAPLACE GRADIENT BASED DISCRIMINATIVE AND CONTRAST INVERTIBLE DESCRIPTOR
Zhenwei Miao, IIM Ltd, Singapore; Kim-Hui Yap, Xudong Jiang, Subbhuraam Sinduja, Nanyang Technological University, Singapore; Zhenhua Wang, Hebrew University of Jerusalem, Israel
IVMSP-P10.4: HUMAN INTERACTION RECOGNITION USING LOW-RANK MATRIX APPROXIMATION AND SUPER DESCRIPTOR TENSOR DECOMPOSITION
Muhammad Rizwan Khokher, Abdesselam Bouzerdoum, Son Lam Phung, University of Wollongong, Australia
IVMSP-P10.5: ENHANCED PIXEL-WISE VOTING FOR IMAGE VANISHING POINT DETECTION IN ROAD SCENES
Linh Nguyen, Son Lam Phung, Abdesselam Bouzerdoum, University of Wollongong, Australia
IVMSP-P10.6: A NOVEL LBP-BASED COLOR DESCRIPTOR FOR FACE RECOGNITION
Ze Lu, Xudong Jiang, Alex Kot, Nanyang Technological University, Singapore
IVMSP-P10.7: ITERATIVE BLOCK TENSOR SINGULAR VALUE THRESHOLDING FOR EXTRACTION OF LOW RANK COMPONENT OF IMAGE DATA
Longxi Chen, Yipeng Liu, Ce Zhu, University of Electronic Science and Technology of China, China
IVMSP-P10.8: TRANSPARENT OBJECTS: INFLUENCE OF SHAPE AND COLOR ON DEPTH PERCEPTION
Ar-Pha Pisanpeeti, Eric Dinet, Laboratoire Hubert Curien - Université Jean Monnet, France
IVMSP-P10.9: HAND POSE RECOGNITION IN FIRST PERSON VISION THROUGH GRAPH SPECTRAL ANALYSIS
Mohamad Baydoun, Alejandro Betancourt, Pietro Morerio, Lucio Marcenaro, University of Genoa, Italy; Matthias Rauterberg, Eindhoven University of Technology, Netherlands; Carlo S. Regazzoni, University of Genoa, Italy
IVMSP-P11.1: UNSUPERVISED IMAGE SEGMENTATION USING CONVOLUTIONAL AUTOENCODER WITH TOTAL VARIATION REGULARIZATION AS PREPROCESSING
Chunlai Wang, Bin Yang, Yiwen Liao, University of Stuttgart, Germany
IVMSP-P11.2: A GENERALIZED SWENDSEN-WANG ALGORITHM FOR BAYESIAN NONPARAMETRIC JOINT SEGMENTATION OF MULTIPLE IMAGES
Jessica Sodjo, Audrey Giremus, IMS (Univ. Bordeaux, CNRS, BINP), France; Nicolas Dobigeon, IRIT/INP-ENSEEIHT Toulouse, France; Jean-François Giovannelli, IMS (Univ. Bordeaux, CNRS, BINP), France
IVMSP-P11.3: HIERACHICAL JOINT-GUIDED NETWORKS FOR SEMANTIC IMAGE SEGMENTATION
Chien-Yao Wang, Jyun-Hong Li, Seksan Mathulaprangsan, Chin-Chin Chiang, Jia-Ching Wang, National Central University, Taiwan
IVMSP-P11.4: EXEMPLAR BASED IMAGE SALIENT OBJECT DETECTION
Zezheng Wang, Rui Huang, Liang Wan, Wei Feng, Tianjin University, China
IVMSP-P11.6: IMAGE CO-SALIENCY DETECTION VIA LOCALLY ADAPTIVE SALIENCY MAP FUSION
Chung-Chi Tsai, Xiaoning Qian, Texas A&M University, United States; Yen-Yu Lin, Academia Sinica, Taiwan
IVMSP-P11.7: ADAPTIVE SUPERPIXEL SEGMENTATION AGGREGATING LOCAL CONTOUR AND TEXTURE FEATURES
Xiaolin Xiao, Yue-Jiao Gong, Yicong Zhou, University of Macau, Macao SAR of China
IVMSP-P11.8: PARTIAL IMAGE BLUR DETECTION AND SEGMENTATION FROM A SINGLE SNAPSHOT
Te-Li Wang, Kuan-Yun Lee, National Taiwan University, Taiwan; Yu-Chiang Frank Wang, Academia Sinica, Taiwan
IVMSP-P11.9: MULTI-SCALE SPOT SEGMENTATION WITH SELECTION OF IMAGE SCALES
Bertha Mayela Toledo Acosta, Inria, France; Antoine Basset, CNES, France; Patrick Bouthemy, Charles Kervrann, Inria, France
IVMSP-P12.1: ROBUST VISUAL TRACKING WITH DEEP FEATURE FUSION
Guokun Wang, Jingjing Wang, Wenyi Tang, Nenghai Yu, The University of Science and Technology of China, China
IVMSP-P12.2: FAST HUMAN SEGMENTATION USING COLOR AND DEPTH
Raushan Kumar, Rakesh Kumar, Viswanath Gopalakrishnan, Kiran Nanjunda Iyer, Samsung R&D Institute, Bangalore, India, India
IVMSP-P12.3: ROBUST VISUAL TRACKING VIA DEEP DISCRIMINATIVE MODEL
Heng Fan, Temple University, United States; Jinhai Xiang, Guoliang Li, Fuchuan Ni, Huazhong Agricultural University, China
IVMSP-P12.4: VEHICLE TRACKING IN WIDE AREA MOTION IMAGERY : A FACILITY LOCATION MOTIVATED COMBINATORIAL APPROACH
Ahmed Elliethy, Gaurav Sharma, University of Rochester, United States
IVMSP-P12.5: FLIPFLOP CORRELATION TRACKING WITH CONVOLUTION KERNELS NETWORKS
Hui He, Bo Ma, Beijing Institute of Technology, China; Luoyu Qin, China Academy of Space Technology, China
IVMSP-P12.6: A NOVEL RE-TRACKING STRATEGY FOR MONOCULAR SLAM
Hong Liu, Weibo Huang, Zhi Wang, Peking University, China
IVMSP-P12.7: SELECTIVE OBJECT AND CONTEXT TRACKING
Ce Zhou, Qing Guo, Liang Wan, Wei Feng, Tianjin University, China
IVMSP-P12.8: LONG-TERM NON-CONTACT TRACKING OF CAGED RODENTS
Behnaz Rezaei, Xiaofei Huang, Jason Yee, Sarah Ostadabbas, Northeastern University, United States
IVMSP-P13.1: TRANSFER OF VIGNETTING EFFECT FROM PAINTINGS TO PHOTOGRAPHS
Xiaoyan Zhang, Shenzhen University, China; Martin Constable, RMIT University, Viet Nam; Kap Luk Chan, Tolendata Singapore R&D Centre Private Limited, Singapore
IVMSP-P13.2: POSE-BASED COMPOSITION IMPROVEMENT FOR PORTRAIT PHOTOGRAPHS
Xiaoyan Zhang, Shenzhen University, China; Kap Luk Chan, Tolendata Singapore R&D Centre Private Limited, Singapore; Martin Constable, RMIT University, Viet Nam
IVMSP-P13.3: LEARNING ADAPTIVE LOCAL DISTANCE METRIC FOR FACE HALLUCINATION
Yuanpeng Zou, Fei Zhou, Qingmin Liao, Tsinghua University, China
IVMSP-P13.4: FAST INVERSE TONE MAPPING WITH REINHARD’S GLOBAL OPERATOR
Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya, Tokyo Metropolitan University, Japan
IVMSP-P13.5: LOW LIGHT IMAGE ENHANCEMENT BASED ON TWO-STEP NOISE SUPPRESSION
Haonan Su, Cheolkon Jung, Xidian University, China
IVMSP-P13.6: AUTOMATIC IMAGE CROPPING WITH AESTHETIC MAP AND GRADIENT ENERGY MAP
Yueying Kao, Ran He, Kaiqi Huang, Institute of Automation, Chinese Academy of Sciences, China
IVMSP-P13.7: QUALITY ESTIMATION BASED MULTI-FOCUS IMAGE FUSION
Jingwei Guan, Wai-Kuen Cham, The Chinese University of Hong Kong, China
IVMSP-P13.8: SURROUNDING ADAPTIVE TONE MAPPING IN DISPLAYED IMAGES UNDER AMBIENT LIGHT
Lu Wang, Cheolkon Jung, Xidian University, China
IVMSP-P13.9: COLOR IMAGE DENOISING VIA CROSS-CHANNEL TEXTURE TRANSFERRING
Khanh Quoc Dinh, Thuong Nguyen Canh, Byeungwoo Jeon, Sungkyunkwan University, Korea (South)
IVMSP-P14.1: 3D RECONSTRUCTION FROM WEB HARVESTED IMAGES USING A FORENSIC QUALITY METRIC
Mattia Lecci, Simone Milani, University of Padova, Italy
IVMSP-P14.2: CODING OF 3D HOLOSCOPIC IMAGE BY USING SPATIAL CORRELATION OF RENDERED VIEW IMAGES
Deyang Liu, Ping An, Chao Yang, Ran Ma, Liquan Shen, Shanghai University, China
IVMSP-P14.3: FROM FOCAL STACKS TO TENSOR DISPLAY: A METHOD FOR LIGHT FIELD VISUALIZATION WITHOUT MULTI-VIEW IMAGES
Yuto Kobayashi, Keita Takahashi, Toshiaki Fujii, Nagoya University, Japan
IVMSP-P14.5: A FULL REFERENCE STEREOSCOPIC VIDEO QUALITY ASSESSMENT METRIC
Balasubramanyam Appina, Manasa K, Sumohana S. Channappayya, Indian Institute of Technology Hyderabad, India
IVMSP-P14.6: DISPARITY ESTIMATION IN STEREO VIDEOS USING SPATIO-TEMPORAL DISPARITY HYPERPLANE MODELS
Hiroki Nakano, Daisuke Sugimura, Takayuki Hamamoto, Graduate School of Engineering, Tokyo University of Science, Japan
IVMSP-P14.7: SUPER-RESOLUTION FOR DIFFERENTLY EXPOSED MIXED-RESOLUTION MULTI-VIEW IMAGES ADAPTED BY A HISTOGRAM MATCHING METHOD
Thomas Richter, André Kaup, University of Erlangen-Nuremberg, Germany
IVMSP-P14.8: SEGMENT-TREE BASED COST AGGREGATION FOR STEREO MATCHING WITH ENHANCED SEGMENTATION ADVANTAGE
Peng Yao, Hua Zhang, Yanbing Xue, Mian Zhou, Guangping Xu, Zan Gao, Shengyong Chen, Tianjin University of Technology, China
IVMSP-P14.9: ENHANCED DEPTH ESTIMATION FOR HAND-HELD LIGHT FIELD CAMERAS
Yanwen Qin, Xin Jin, Yanqin Chen, Qionghai Dai, Tsinghua University, China
IVMSP-P14.10: STEREOSCOPIC IMAGE QUALITY ASSESSMENT BASED ON THE BINOCULAR PROPERTIES OF THE HUMAN VISUAL SYSTEM
Yu Fan, Université de Poitiers & NTNU-Gjovik, France; Mohamed-Chaker Larabi, Université de Poitiers, France; Faouzi Alaya Cheikh, NTNU Gjovik, Norway; Christine Fernandez-Maloigne, Université de Poitiers, France
IFS-L1.1: THEORETICAL VULNERABILITIES IN MAP SPEAKER ADAPTATION
Tetsushi Ohki, Akira Otsuka, National Institute of Advanced Industrial Science and Technology, Japan
IFS-L1.2: GENERALIZATION OF SPOOFING COUNTERMEASURES: A CASE STUDY WITH ASVSPOOF 2015 AND BTAS 2016 CORPORA
Dipjyoti Paul, Indian Institute of Technology Kharagpur, India; Md Sahidullah, University of Eastern Finland, Finland; Goutam Saha, Indian Institute of Technology Kharagpur, India
IFS-L1.3: TAICHI DISTANCE FOR PERSON RE-IDENTIFICATION
Zheng Wang, Ruimin Hu, Wuhan University, China; Yi Yu, National Institute of Informatics, Japan; Chao Liang, Wuhan Univeristy, China; Chen Chen, University of Central Florida, United States
IFS-L1.4: A DEEP LEARNING APPROACH TOWARDS PORE EXTRACTION FOR HIGH-RESOLUTION FINGERPRINT RECOGNITION
Hong-Ren Su, Kuang-Yu Chen, Wei Jing Wong, Shang-Hong Lai, National Tsing Hua University, Taiwan
IFS-L1.5: ECG-BASED BIOMETRICS USING RECURRENT NEURAL NETWORKS
Ronald Salloum, C.-C. Jay Kuo, University of Southern California, United States
IFS-L1.6: SECURE GENOMIC SUSCEPTIBILITY TESTING BASED ON LATTICE ENCRYPTION
Juan Ramón Troncoso-Pastoriza, Alberto Pedrouzo-Ulloa, Fernando Pérez-González, University of Vigo, Spain
IFS-P1.1: CAPACITY RESULTS ON THE FINITE STATE MARKOV WIRETAP CHANNEL WITH DELAYED STATE FEEDBACK
Bin Dai, Zheng Ma, Southwest JiaoTong University, China
IFS-P1.2: DESIGNING SECURE NETWORKS WITH Q-COMPOSITE KEY PREDISTRIBUTION UNDER DIFFERENT LINK CONSTRAINTS
Jun Zhao, Carnegie Mellon University, Arizona State University, and Princeton University, United States
IFS-P1.3: ANALYSIS OF A COVERT COMMUNICATION METHOD UTILIZING NON-COHERENT DPSK MASKED BY PULSED RADAR INTERFERENCE
Thomas Tedesso, United States Naval Academy, United States; Ric Romero, Zachary Staples, Naval Postgraduate School, United States
IFS-P1.4: TWO-DIMENSIONAL ANTI-JAMMING COMMUNICATION BASED ON DEEP REINFORCEMENT LEARNING
Guo an Han, Liang Xiao, Xiamen University, China; H. Vincent Poor, Princeton University, United States
IFS-P1.5: SPECTRUM ATTACKS AIMED AT MINIMIZING SPECTRUM OPPORTUNITIES
Andrey Garnaev, Wade Trappe, WINLAB, Rutgers University, United States; Y. Thomas Hou, Wenjing Lou, Virginia Tech, United States
IFS-P1.6: ON MITIGATION OF PILOT SPOOFING ATTACK
Jitendra Tugnait, Auburn University, United States
IFS-P1.7: MAXIMUM SECRECY RATE IN INHOMOGENEOUS POISSON NETWORKS
Giovanni Chisci, Andrea Conti, University of Ferrara, Italy; Lorenzo Mucchi, University of Florence, Italy; Moe Z. Win, Massachusetts Institute of Technology, United States
IFS-P1.8: FILTER DESIGN FOR DELAY-BASED ANONYMOUS COMMUNICATIONS
Simon Oya, Fernando Pérez-González, University of Vigo, Spain; Carmela Troncoso, IMDEA Software Institute, Spain
IFS-P1.9: A NOVEL ITERATIVE ONLINE RATING ATTACK BASED ON MARKET SELF-EXCITING PROPERTY
Yuhong Liu, Santa Clara University, United States; Wenqi Zhou, Duquesne University, United States
IFS-P2.1: STEGANOGRAPHY WITH TWO JPEGS OF THE SAME SCENE
Tomas Denemark, Jessica Fridrich, SUNY Binghamton, United States
IFS-P2.2: PRACTICAL STRATEGIES FOR CONTENT-ADAPTIVE BATCH STEGANOGRAPHY AND POOLED STEGANALYSIS
Rémi Cogranne, Troyes University of Technology, France; Vahid Sedighi, Jessica Fridrich, Binghamton University, United States
IFS-P2.3: AN EMBEDDING MECHANISM FOR NATURAL STEGANOGRAPHY AFTER DOWN-SAMPLING
Patrick Bas, CNRS, France
IFS-P2.4: ABOUT ZERO BIT WATERMARKING ERROR EXPONENTS
Teddy Furon, Inria, France
IFS-P2.5: MOBILE PHONE CLUSTERING FROM ACQUIRED SPEECH RECORDINGS USING DEEP GAUSSIAN SUPERVECTOR AND SPECTRAL CLUSTERING
Yanxiong Li, Xue Zhang, Xianku Li, Xiaohui Feng, Jichen Yang, Aiwu Chen, Qianhua He, School of Electronic and Information Engineering, South China University of Technology, China
IFS-P2.6: SUPERVISED AUDIO TAMPERING DETECTION USING AN AUTOREGRESSIVE MODEL
Xiaodan Lin, Xiangui Kang, Sun Yat-sen University, China
IFS-P2.7: PHONOLOGICAL CONTENT IMPACT ON WRONGFUL CONVICTIONS IN FORENSIC VOICE COMPARISON CONTEXT
Moez Ajili, Jean-françois Bonastre, Waad Ben Kheder, Solange Rossato, Juliette Kahn, University Of Avignon, France
IFS-P2.8: ON THE ROBUSTNESS OF CONSTRAINED CONVOLUTIONAL NEURAL NETWORKS TO JPEG POST-COMPRESSION FOR IMAGE RESAMPLING DETECTION
Belhassen Bayar, Matthew C. Stamm, Drexel University, United States
IFS-P2.9: ON THE SECURITY OF BLOCK SCRAMBLING-BASED ETC SYSTEMS AGAINST JIGSAW PUZZLE SOLVER ATTACKS
Tatsuya Chuman, Kenta Kurihara, Hitoshi Kiya, Tokyo Metropolitan University, Japan
IFS-P2.10: ROBUST AND COMPACT VIDEO DESCRIPTOR LEARNED BY DEEP NEURAL NETWORK
Yue Nan Li, Xue Piao Chen, Tianjin University, China
IDSP-P1.1: DIAGONAL MICROPHONE PLACEMENT FOR THE LANDSCAPE/PORTRAIT INTERCHANGEABLE MODE OF A PERSONAL COMPUTER
Ryoji Miyahara, Akihiko Sugiyama, NEC Corporation, Japan
IDSP-P1.2: DUAL-FISHEYE LENS STITCHING FOR 360-DEGREE IMAGING
Tuan Ho, The University of Texas at Arlington, United States; Madhukar Budagavi, Samsung Research America, United States
IDSP-P1.3: DEEP LEARNING BASED AUTOMATIC VOLUME CONTROL AND LIMITER SYSTEM
Jun Yang, Philip Hilmes, Brian Adair, David W. Krueger, Amazon Lab126, United States
IDSP-P1.4: COMPRESSIVE SENSING STRATEGY FOR CLASSIFICATION OF BEARING FAULTS
Hosameldin Ahmed, Brunel University London, United Kingdom; Dennis MouLing Wong, Swinburne University of Technology Sarawak Campus, Malaysia; Asoke Nandi, Brunel University London, United Kingdom
IDSP-P1.5: A RAILROAD DETECTION ALGORITHM FOR INFRASTRUCTURE SURVEILLANCE USING ENDURING AIRBORNE SYSTEMS
Andrei Purica, Beatrice Pesquet-Popescu, Frederic Dufaux, LTCI, CNRS, Telecom ParisTech, Universite Paris-Saclay, 75013, Paris, France, France
IDSP-P1.6: IN-SITU CALIBRATION OF ACCELEROMETERS IN BODY-WORN SENSORS USING QUIESCENT GRAVITY
Andrew Nadeau, Karthik Dinesh, Gaurav Sharma, University of Rochester, United States; Mulin Xiong, University of Rochester Medical Center, United States
IDSP-P1.7: A FAST FACE CLUSTERING METHOD FOR INDEXING APPLICATIONS ON MOBILE PHONES
Sudha Velusamy, Pratibha Moogi, Samsung Research & Development Institute, India
IDSP-P1.8: NOVELTY DETECTION FOR PREDICTING FALLS RISK USING SMARTPHONE GAIT DATA
Matthew Martinez, Sandia National Laboratories, United States; Phillip De Leon, David Keeley, New Mexico State University, United States
MLSP-L1.1: ON RANDOM WEIGHTS FOR TEXTURE GENERATION IN ONE LAYER CNNS
Mihir Mongia, Stanford University, United States; Kundan Kumar, Indian Institute of Technology Kanpur, India; Akram Erraqabi, Yoshua Bengio, MILA, Canada
MLSP-L1.2: SELECTING OPTIMAL LAYER REDUCTION FACTORS FOR MODEL REDUCTION OF DEEP NEURAL NETWORKS
Lukas Mauch, Bin Yang, University of Stuttgart, Germany
MLSP-L1.3: UNSUPERVISED ADAPTATION OF DEEP NEURAL NETWORKS FOR SOUND SOURCE LOCALIZATION USING ENTROPY MINIMIZATION
Ryu Takeda, Kazunori Komatani, Osaka University, Japan
MLSP-L1.4: CHARACTER-LEVEL DEEP CONFLATION FOR BUSINESS DATA ANALYTICS
Zhe Gan, Duke University, United States; P. D. Singh, Microsoft Research, United States; Ameet Joshi, Microsoft, United States; Xiaodong He, Jianshu Chen, Jianfeng Gao, Li Deng, Microsoft Research, United States
MLSP-L1.5: AUTOMATIC SPEECH EMOTION RECOGNITION USING RECURRENT NEURAL NETWORKS WITH LOCAL ATTENTION
Seyedmahdad Mirsamadi, The University of Texas at Dallas, United States; Emad Barsoum, Cha Zhang, Microsoft Research, United States
MLSP-L1.6: FACE DETECTION AND RECOGNITION FOR HOME SERVICE ROBOTS WITH END-TO-END DEEP NEURAL NETWORKS
Wei Jiang, Wei Wang, Futurewei Technologies Inc., United States
MLSP-L2.1: MULTIMODAL SPARSE BAYESIAN DICTIONARY LEARNING APPLIED TO MULTIMODAL DATA CLASSIFICATION
Igor Fedorov, Bhaskar D. Rao, Truong Q. Nguyen, University of California, San-Diego, United States
MLSP-L2.2: PARALLELIZED STOCHASTIC GRADIENT MARKOV CHAIN MONTE CARLO ALGORITHMS FOR NON-NEGATIVE MATRIX FACTORIZATION
Umut Simsekli, Alain Durmus, Roland Badeau, Gaël Richard, LTCI, Télécom ParisTech, France; Eric Moulines, École Polytechnique, France; Ali Taylan Cemgil, Bogazici University, Turkey
MLSP-L2.3: BAYESIAN NONPARAMETRIC SUBSPACE ESTIMATION
Clément Elvira, Pierre Chainais, University of Lille, France; Nicolas Dobigeon, University of Toulouse, France
MLSP-L2.4: SECOND-ORDER TENSOR-BASED CONVOLUTIVE ICA: DECONVOLUTION VERSUS TENSORIZATION
Frederik Van Eeghem, KU Leuven, Belgium; Lieven De Lathauwer, KU Leuven Kulak, Belgium
MLSP-L2.5: PRIMAL-DUAL ALGORITHMS FOR NON-NEGATIVE MATRIX FACTORIZATION WITH THE KULLBACK-LEIBLER DIVERGENCE
Felipe Yanez, INSEAD, France; Francis Bach, INRIA/École normale supérieure, France
MLSP-L2.6: A PROVABLE NONCONVEX MODEL FOR FACTORING NONNEGATIVE MATRICES
Dung Tran, Sang Chin, Trac D. Tran, Johns Hopkins University, United States
MLSP-L3.1: PART-LEVEL FULLY CONVOLUTIONAL NETWORKS FOR PEDESTRIAN DETECTION
Xinran Wang, Cheolkon Jung, Xidian University, China; Alfred O. Hero, University of Michigan, United States
MLSP-L3.2: LEARNING TO INVERT: SIGNAL RECOVERY VIA DEEP CONVOLUTIONAL NETWORKS
Ali Mousavi, Richard Baraniuk, Rice University, United States
MLSP-L3.3: STRUCTURED DROPOUT FOR WEAK LABEL AND MULTI-INSTANCE LEARNING AND ITS APPLICATION TO SCORE-INFORMED SOURCE SEPARATION
Sebastian Ewert, Mark B. Sandler, Queen Mary University of London, United Kingdom
MLSP-L3.4: HARNESSING NEURAL NETWORKS: A RANDOM MATRIX APPROACH
Cosme Louart, Romain Couillet, CentraleSupélec, France
MLSP-L3.5: TRAINING VARIANCE AND PERFORMANCE EVALUATION OF NEURAL NETWORKS IN SPEECH
Ewout van den Berg, Bhuvana Ramabhadran, Michael Picheny, IBM Watson Group, United States
MLSP-L3.6: A DEEP LEARNING APPROACH TO MULTIPLE KERNEL FUSION
Huan Song, Arizona State University, United States; Jayaraman J. Thiagarajan, Lawrence Livermore National Labs, United States; Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, IBM T.J. Watson Research Center, United States; Andreas Spanias, Arizona State University, United States
MLSP-L4.1: WHEN SPARSITY MEETS LOW-RANKNESS: TRANSFORM LEARNING WITH NON-LOCAL LOW-RANK CONSTRAINT FOR IMAGE RESTORATION
Bihan Wen, Yanjun Li, Yoram Bresler, University of Illinois at Urbana-Champaign, United States
MLSP-L4.2: SINGLE-CHANNEL ENHANCEMENT OF CONVOLUTIVE NOISY SPEECH BASED ON A DISCRIMINATIVE NMF ALGORITHM
Hanwook Chung, McGill University, Canada; Eric Plourde, Sherbrooke University, Canada; Benoit Champagne, McGill University, Canada
MLSP-L4.3: PROJECTION-BASED DUAL AVERAGING FOR STOCHASTIC SPARSE OPTIMIZATION
Asahi Ushio, Masahiro Yukawa, Keio University, Japan
MLSP-L4.4: A TENSOR BASED FRAMEWORK FOR COMMUNITY DETECTION IN DYNAMIC NETWORKS
Esraa Al-Sharoa, Mahmood Al-khassaweneh, Selin Aviyente, Michigan State University, United States
MLSP-L4.5: A PSEUDO-VOIGT COMPONENT MODEL FOR HIGH-RESOLUTION RECOVERY OF CONSTITUENT SPECTRA IN RAMAN SPECTROSCOPY
Tommy S. Alstrøm, Mikkel N. Schmidt, Tomas Rindzevicius, Anja Boisen, Jan Larsen, Technical University of Denmark, Denmark
MLSP-L4.6: TENSOR-BASED CROWDSOURCED CLUSTERING VIA TRIANGLE QUERIES
Ramya Korlakai Vinayak, California Institute of Technology, United States; Tijana Zrnic, University of Novi Sad, Serbia; Babak Hassibi, California Institute of Technology, United States
MLSP-L5.1: NOISY OBJECTIVE FUNCTIONS BASED ON THE F-DIVERGENCE
Markus Nussbaum-Thom, International Business Machine, United States; Ralf Schlüter, RWTH Aachen University, Germany; Vaibhava Goel, International Business Machine, United States; Hermann Ney, RWTH Aachen University, Germany
MLSP-L5.2: EMBEDDED CLUSTERING VIA ROBUST ORTHOGONAL LEAST SQUARE DISCRIMINANT ANALYSIS
Rui Zhang, Feiping Nie, Xuelong Li, Northwestern Polytechnical University, China
MLSP-L5.3: A GEOMETRIC LEARNING APPROACH ON THE SPACE OF COMPLEX COVARIANCE MATRICES
Hatem Hajri, Salem Said, Lionel Bombrun, Yannick Berthoumieu, IMS Bordeaux, France
MLSP-L5.4: DENSITY RIDGE MANIFOLD TRAVERSAL
Jonas Nordhaug Myhre, Michael Kampffmeyer, Robert Jenssen, Uit - The arctic university of Norway, Norway
MLSP-L5.5: POWER-LAW STOCHASTIC NEIGHBOR EMBEDDING
Huan-Hsin Tseng, Issam El Naqa, University of Michigan Health System, United States; Jen-Tzung Chien, National Chiao Tung University, Taiwan
MLSP-L5.6: LARGEST CENTER-SPECIFIC MARGIN FOR DIMENSION REDUCTION
Jian'an Zhang, Yuan Yuan, Feiping Nie, Qi Wang, Northwestern Polytechnical University, China
MLSP-L6.1: DISJUNCTIVE NORMAL SHAPE BOLTZMANN MACHINE
Ertunc Erdil, Sabanci University, Turkey; Fitsum Mesadi, Tolga Tasdizen, Utah University, United States; Mujdat Cetin, Sabanci University, Turkey
MLSP-L6.2: TRAINING DATA REDUCTION IN DEEP NEURAL NETWORKS WITH PARTIAL MUTUAL INFORMATION BASED FEATURE SELECTION AND CORRELATION MATCHING BASED ACTIVE LEARNING
Jian Zheng, Wei Yang, Xiaohua Li, State University of New York at Binghamton, United States
MLSP-L6.3: RECONSTRUCTION-ERROR-BASED LEARNING FOR CONTINUOUS EMOTION RECOGNITION IN SPEECH
Jing Han, Zixing Zhang, University of Passau, Germany; Fabien Ringeval, University of Grenoble Alpes, France; Björn Schuller, University of Passau, Germany
MLSP-L6.4: INFERRING LATENT STATES IN A NETWORK INFLUENCED BY NEIGHBOR ACTIVITIES: AN UNDIRECTED GENERATIVE APPROACH
Buddhika Samarakoon, Manohar N. Murthi, Kamal Premaratne, University of Miami, United States
MLSP-L6.5: DISCRIMINATIVE RECURRING SIGNAL DETECTION AND LOCALIZATION
Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim, Oregon State University, United States
MLSP-L6.6: A NOVEL LAYERWISE PRUNING METHOD FOR MODEL REDUCTION OF FULLY CONNECTED DEEP NEURAL NETWORKS
Lukas Mauch, Bin Yang, University of Stuttgart, Germany
MLSP-L7.1: FLOW BASED BOTNET DETECTION THROUGH SEMI-SUPERVISED ACTIVE LEARNING
Zhicong Qiu, David J. Miller, George Kesidis, The Pennsylvania State University, United States
MLSP-L7.2: CONVOLUTIONAL RECURRENT NEURAL NETWORKS FOR MUSIC CLASSIFICATION
Keunwoo Choi, György Fazekas, Mark B. Sandler, Queen Mary University of London, United Kingdom; Kyunghyun Cho, New York University, United States
MLSP-L7.3: RANDOM MATRICES MEET MACHINE LEARNING: A LARGE DIMENSIONAL ANALYSIS OF LS-SVM
Zhenyu Liao, Romain Couillet, CentraleSupélec, Université Paris-Saclay, France
MLSP-L7.4: THE GROUP K-SUPPORT NORM FOR LEARNING WITH STRUCTURED SPARSITY
Nikhil Rao, Technicolor, United States; Miroslav Dudik, Microsoft, United States; Zaid Harchaoui, University of Washington, United States
MLSP-L7.5: RODLSR: ROBUST DISCRIMINATIVE LEAST SQUARES REGRESSION MODEL FOR MULTI-CATEGORY CLASSIFICATION
Lingfeng Wang, Shuaizheng Liu, Chunhong Pan, Institute of Automation, Chinese Academy of Sciences, China
MLSP-L7.6: LEARNING COMPLEX-VALUED LATENT FILTERS WITH ABSOLUTE COSINE SIMILARITY
Anh H. T. Nguyen, Vaninirappuputhenpurayil gopalan Reju, Andy W. H. Khong, Ing Yann Soon, Nanyang Technological University, Singapore
MLSP-P1.1: SEMI-SUPERVISED CLASSIFICATION VIA BOTH LABEL AND SIDE INFORMATION
Rui Zhang, Feiping Nie, Xuelong Li, Northwestern Polytechnical University, China
MLSP-P1.2: SEQUENCE SEGMENTATION USING JOINT RNN AND STRUCTURED PREDICTION MODELS
Yossi Adi, Joseph Keshet, Bar-Ilan University, Israel; Emily Cibelli, Matthew Goldrick, Northwestern University, United States
MLSP-P1.3: EEF: EXPONENTIALLY EMBEDDED FAMILIES WITH CLASS-SPECIFIC FEATURES FOR CLASSIFICATION
Bo Tang, Hofstra University, United States; Steven Kay, Haibo He, University of Rhode Island, United States; Paul M. Baggenstoss, Fraunhofer FKIE, Germany
MLSP-P1.4: A MIXTURE MODEL-BASED REAL-TIME AUDIO SOURCES CLASSIFICATION METHOD
Maxime Baelde, University Lille 1, CNRS, Inria / A-Volute, France; Christophe Biernacki, University Lille 1, CNRS, Inria, France; Raphaël Greff, A-Volute, France
MLSP-P1.5: AFFECT RECOGNITION FROM LIP ARTICULATIONS
Rizwan Sadiq, Engin Erzin, Koç University, Turkey
MLSP-P1.6: AUTOMATIC RADAR WAVEFORM RECOGNITION BASED ON TIME-FREQUENCY ANALYSIS AND CONVOLUTIONAL NEURAL NETWORK
Chao Wang, Jian Wang, Xudong Zhang, Tsinghua University, China
MLSP-P2.1: A NOVEL METHODOLOGY TO QUANTIFY DENSE EEG IN COGNITIVE TASKS
Catia S. Silva, Computational NeuroEngineering Laboratory, United States; Andreas Keil, Center for the Study of Emotion and Attention, United States; Jose C. Principe, Computational NeuroEngineering Laboratory, United States
MLSP-P2.2: LEARNING SPECTRUM OPPORTUNITIES IN NON-STATIONARY RADIO ENVIRONMENTS
Jan Oksanen, Visa Koivunen, Aalto University, Finland
MLSP-P2.3: HIGH ACCURACY EVENT DETECTION FOR NON-INTRUSIVE LOAD MONITORING
Mohamed Nait Meziane, Philippe Ravier, Guy Lamarque, University of Orléans, France; Jean-Charles Le Bunetel, Yves Raingeaud, University of Tours, France
MLSP-P2.4: BIOBOTIC MOTION AND BEHAVIOR ANALYSIS IN RESPONSE TO DIRECTIONAL NEUROSTIMULATION
Alireza Dirafzoon, Tahmid Latif, Fengyuan Gong, Mihail Sichitiu, Alper Bozkurt, Edgar Lobaton, North Carolina State University, United States
MLSP-P2.5: A COMPREHENSIVE STUDY OF DEEP BIDIRECTIONAL LSTM RNNS FOR ACOUSTIC MODELING IN SPEECH RECOGNITION
Albert Zeyer, Patrick Doetsch, Paul Voigtlaender, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany
MLSP-P2.6: A SCALABLE CONVOLUTIONAL NEURAL NETWORK FOR TASK-SPECIFIED SCENARIOS VIA KNOWLEDGE DISTILLATION
Mengnan Shi, Fei Qin, Qixiang Ye, Zhenjun Han, Jianbin Jiao, School of Electronics, Electrical and Communication Engineering, University of Chinese Academy of Sciences, China
MLSP-P2.7: DESIGNING EFFICIENT ARCHITECTURES FOR MODELING TEMPORAL FEATURES WITH CONVOLUTIONAL NEURAL NETWORKS
Jordi Pons, Xavier Serra, Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain
MLSP-P2.8: A CASE STUDY OF MACHINE LEARNING HARDWARE: REAL-TIME SOURCE SEPARATION USING MARKOV RANDOM FIELDS VIA SAMPLING-BASED INFERENCE
Glenn G. Ko, Rob A. Rutenbar, University of Illinois at Urbana-Champaign, United States
MLSP-P2.9: MALWARE CLASSIFICATION WITH LSTM AND GRU LANGUAGE MODELS AND A CHARACTER-LEVEL CNN
Ben Athiwaratkun, Cornell University, United States; Jack Stokes, Microsoft, United States
MLSP-P2.10: ENHANCED INDOOR LOCALIZATION THROUGH CROWD SENSING
Eva Arias-de-Reyna, University of Seville, Spain; Davide Dardari, University of Bologna, Italy; Pau Closas, Northeastern University, United States; Petar M. Djuric, Stony Brook University, United States
MLSP-P3.1: FAST SPECTRAL CLUSTERING WITH EFFICIENT LARGE GRAPH CONSTRUCTION
Wei Zhu, Feiping Nie, Northwestern Polytechnical University, China; Xuelong Li, Xi'an Institute of Optics and Precision Mechanics, China
MLSP-P3.2: UNIVERSAL ESTIMATION OF TIME-VARYING DISTRIBUTIONS
Kaan Gokcesu, Suleyman S. Kozat, Bilkent University, Turkey
MLSP-P3.3: MIXTURE SOURCE IDENTIFICATION IN NON-STATIONARY DATA STREAMS WITH APPLICATIONS IN COMPRESSION
Afshin Abdi, Faramarz Fekri, Georgia Institute of Technology, United States
MLSP-P3.4: UNIFYING ATTRIBUTE SPLITTING CRITERIA OF DECISION TREES BY TSALLIS ENTROPY
Yisen Wang, Shu-Tao Xia, Tsinghua University, China
MLSP-P3.5: DIFFUSION GRADIENT BOOSTING FOR NETWORKED LEARNING
Bicheng Ying, Ali H. Sayed, University of California, Los Angeles, United States
MLSP-P3.6: AUTOMATED ROBUST ANURAN CLASSIFICATION BY EXTRACTING ELLIPTICAL FEATURE PAIRS FROM AUDIO SPECTROGRAMS
Marcello Tomasini, Katrina Smart, Ronaldo Menezes, Mark Bush, Eraldo Ribeiro, Florida Institute of Technology, United States
MLSP-P3.7: AN ONLINE FEATURE SELECTION ARCHITECTURE FOR HUMAN ACTIVITY RECOGNITION
Katerina Karagiannaki, Athanasia Panousopoulou, Panagiotis Tsakalides, Foundation for Research and Technology - Hellas, Greece
MLSP-P3.8: LOCALLY LINEAR EMBEDDED SPARSE CODING FOR IMAGE REPRESENTATION
Lingdao Sha, Dan Schonfeld, Jing Wang, University of Illinois at Chicago, United States
MLSP-P4.1: ENHANCING ICA PERFORMANCE BY EXPLOITING SPARSITY: APPLICATION TO FMRI ANALYSIS
Zois Boukouvalas, Yuri Levin-Schwartz, Tülay Adali, University of Maryland, Baltimore County, United States
MLSP-P4.2: INFOMAX-ICA USING HESSIAN-FREE OPTIMIZATION
Philippe Tillet, H. T. Kung, David Cox, Harvard University, United States
MLSP-P4.3: PARTITIONED HIERARCHICAL ALTERNATING LEAST SQUARES ALGORITHM FOR CP TENSOR DECOMPOSITION
Anh-Huy Phan, Brain Science Institute, RIKEN, Japan; Petr Tichavsky, Institute of Information Theory and Automation, Czech Republic; Andrzej Cichocki, Brain Science Institute, RIKEN, Japan
MLSP-P4.4: AN AUGMENTED LAGRANGIAN ALGORITHM FOR DECOMPOSITION OF SYMMETRIC TENSORS OF ORDER-4
Anh-Huy Phan, Brain Science Institute, RIKEN, Japan; Masao Yamagishi, Tokyo Institute of Technology, Japan; Andrzej Cichocki, Brain Science Institute, RIKEN, Japan
MLSP-P4.5: PARTITIONED ALTERNATING LEAST SQUARES TECHNIQUE FOR CANONICAL POLYADIC TENSOR DECOMPOSITION
Petr Tichavsky, Institute of Information Theory and Automation of the CAS, Czech Republic; Anh-Huy Phan, Andrzej Cichocki, Brain Science Institute, RIKEN, Japan
MLSP-P4.6: RELATIVE ERROR BOUNDS FOR NONNEGATIVE MATRIX FACTORIZATION UNDER A GEOMETRIC ASSUMPTION
Zhaoqiang Liu, Vincent Y. F. Tan, National University of Singapore, Singapore
MLSP-P4.7: A STOCHASTIC MAXIMUM-LIKELIHOOD FRAMEWORK FOR SIMPLEX STRUCTURED MATRIX FACTORIZATION
Ruiyuan Wu, Wing-Kin Ma, The Chinese University of Hong Kong, Hong Kong SAR of China; Xiao Fu, University of Minnesota, United States
MLSP-P4.8: A UNIFIED CONVERGENCE ANALYSIS OF THE MULTIPLICATIVE UPDATE ALGORITHM FOR NONNEGATIVE MATRIX FACTORIZATION
Renbo Zhao, Vincent Y. F. Tan, National University of Singapore, Singapore
MLSP-P4.9: ROBUST LINEAR DISCRIMINANT ANALYSIS WITH A LAPLACIAN ASSUMPTION ON PROJECTION DISTRIBUTION
Shujian Yu, Zheng Cao, University of Florida, United States; Xiubao Jiang, Huawei Technologies Co., LTD, China
MLSP-P4.10: A NONCONVEX SPLITTING METHOD FOR SYMMETRIC NONNEGATIVE MATRIX FACTORIZATION: CONVERGENCE ANALYSIS AND OPTIMALITY
Songtao Lu, Mingyi Hong, Zhengdao Wang, Iowa State University, United States
MLSP-P5.1: TWO-STAGE FACIAL AGE PREDICTION USING GROUP-SPECIFIC FEATURES
Jhony Kaesemodel Pontes, Clinton Fookes, Queensland University of Technology (QUT), Australia; Alceu Souza Britto Jr., Pontificia Universidade Catolica do Parana (PUCPR), Brazil; Alessandro Lameiras Koerich, École de Technologie Supérieure, Canada
MLSP-P5.2: A NOVEL DICTIONARY BASED SRC FOR FACE RECOGNITION
Ying Wen, East China Normal University, China
MLSP-P5.3: A K-NEAREST NEIGHBOR MULTILABEL RANKING ALGORITHM WITH APPLICATION TO CONTENT-BASED IMAGE RETRIEVAL
Honglei Zhang, Tampere University of Technology, Finland; Serkan Kiranyaz, Qatar University, Qatar; Moncef Gabbouj, Tampere University of Technology, Finland
MLSP-P5.4: END-TO-END VISUAL SPEECH RECOGNITION WITH LSTMS
Stavros Petridis, Zuwei Li, Maja Pantic, Imperial College London, United Kingdom
MLSP-P5.5: IMAGE CLASSIFICATION: A HIERARCHICAL DICTIONARY LEARNING APPROACH
Shahin Mahdizadehaghdam, North Carolina State University, United States; Liyi Dai, Army Research Office, United States; Hamid Krim, Erik Skau, Han Wang, North Carolina State University, United States
MLSP-P5.6: NON-BLIND IMAGE DECONVOLUTION USING DEEP DUAL-PATHWAY RECTIFIER NEURAL NETWORK
Keting Zhang, Weichen Xue, Liqing Zhang, Shanghai Jiao Tong University, China
MLSP-P5.7: IMAGE RECOGNITION BASED ON DISCRIMINATIVE MODELS USING FEATURES GENERATED FROM SEPARABLE LATTICE HMMS
Yoshinari Tsuzuki, Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda, Nagoya Institute of Technology, Japan
MLSP-P5.8: LOW DIMENSIONAL DEEP FEATURES FOR FACIAL LANDMARK ALIGNMENT
Ankit Jalan, Siva Chaitanya Mynepalli, Viswanath Veera, Shankar Venkatesan, Samsung R&D Institute, India
MLSP-P5.9: LEARNING AND INFERRING HUMAN ACTIONS WITH TEMPORAL PYRAMID FEATURES BASED ON CONDITIONAL RANDOM FIELDS
Shih-Yao Lin, National Taiwan University, Taiwan; Yen-Yu Lin, Chu-Song Chen, Academia Sinica, Taiwan; Yi-Ping Hung, National Taiwan University, Taiwan
MLSP-P5.10: DUAL-TREE WAVELET SCATTERING NETWORK WITH PARAMETRIC LOG TRANSFORMATION FOR OBJECT CLASSIFICATION
Amarjot Singh, Nick Kingsbury, University of Cambridge, United Kingdom
MLSP-P6.1: FIRST-PERSON ACTION RECOGNITION THROUGH VISUAL RHYTHM TEXTURE DESCRIPTION
Thierry Moreira, University of Campinas, Brazil; David Menotti, Federal University of Parana, Brazil; Helio Pedrini, University of Campinas, Brazil
MLSP-P6.2: TRANSFER LEARNING FOR EEG BASED BCI USING LEARN++.NSE AND MUTUAL INFORMATION
Matthew Sybeldon, Lukas Schmit, Ervin Sejdic, Murat Akcakaya, University of Pittsburgh, United States
MLSP-P6.3: EFFICIENT POOLING OF IMAGE BASED CNN FEATURES FOR ACTION RECOGNITION IN VIDEOS
Biplab Banerjee, Indian Institute of Technology Roorkee, India; Vittorio Murino, Istituto Italiano di Tecnologia Genoa, Italy
MLSP-P6.4: FAST HEVC INTRA CODING ALGORITHM BASED ON MACHINE LEARNING AND LAPLACIAN TRANSPARENT COMPOSITE MODEL
Yi Shan, En-hui Yang, University of Waterloo, Canada
MLSP-P6.5: MARITIME ANOMALY DETECTION IN FERRY TRACKS
Cemre Zor, Josef Kittler, University of Surrey, United Kingdom
MLSP-P6.6: A STUDY ON MOTION MODE IDENTIFICATION FOR CYBORG ROACHES
Jeremy Cole, Farrokh Mohammadzadeh, Christopher Bollinger, Tahmid Latif, Alper Bozkurt, Edgar Lobaton, North Carolina State University, United States
MLSP-P6.7: CONVOLUTIONAL NEURAL NETWORKS FOR PASSIVE MONITORING OF A SHALLOW WATER ENVIRONMENT USING A SINGLE SENSOR
Eric L. Ferguson, Rishi Ramakrishnan, Stefan B. Williams, Craig T. Jin, The University of Sydney, Australia
MLSP-P6.8: ANURAN CALL CLASSIFICATION WITH DEEP LEARNING
Julia Strout, University of South Carolina, United States; Bryce Rogan, Pomona College, United States; Seyed Mohammad Mahdi Seyednezhad, Katrina Smart, Mark Bush, Eraldo Ribeiro, Florida Institute of Technology, United States
MLSP-P6.9: NON-ORTHOGONAL CONSTRAINED INDEPENDENT VECTOR ANALYSIS: APPLICATION TO DATA FUSION
Suchita Bhinge, Qunfang Long, Yuri Levin-Schwartz, Zois Boukouvalas, University of Maryland, Baltimore County, United States; Vince D. Calhoun, The Mind Research Network, United States; Tülay Adali, University of Maryland, Baltimore County, United States
MLSP-P6.10: A DIAGONAL-AUGMENTED QUASI-NEWTON METHOD WITH APPLICATION TO FACTORIZATION MACHINES
Aryan Mokhtari, University of Pennsylvania, United States; Amir Ingber, Yahoo!, United States
MLSP-P7.1: SET-MEMBERSHIP KERNEL ADAPTIVE ALGORITHMS
Andre Flores, Rodrigo de Lamare, Pontifical Catholic University of Rio de Janeiro, Brazil
MLSP-P7.2: EVOLUTIONARY AFFINITY PROPAGATION
Natalia Arzeno, Haris Vikalo, The University of Texas at Austin, United States
MLSP-P7.3: OPTIMAL SPARSE L1-NORM PRINCIPAL-COMPONENT ANALYSIS
Shubham Chamadia, Dimitris Pados, University at Buffalo, The State University of New York, United States
MLSP-P7.4: VARIATIONAL INFERENCE FOR NONPARAMETRIC SUBSPACE DICTIONARY LEARNING WITH HIERARCHICAL BETA PROCESS
Shaoyang Li, Xiaoming Tao, Jianhua Lu, Tsinghua University, China
MLSP-P7.5: ROBUST FEATURE SELECTION FOR BLOCK COVARIANCE BAYESIAN MODELS
Ali Foroughi Pour, Lori A. Dalton, The Ohio State University, United States
MLSP-P7.6: STEADY-STATE MEAN SQUARE PERFORMANCE OF A SPARSIFIED KERNEL LEAST MEAN SQUARE ALGORITHM
Badong Chen, Zhengda Qin, Xi'an Jiaotong University, China; Lei Sun, Beijing Institute of Technology, China
MLSP-P7.7: ENSEMBLE CLASSIFICATION BASED ON RANDOM LINEAR BASE CLASSIFIERS
Qi Xiao, Zhengdao Wang, Iowa State University, United States
MLSP-P7.8: RECURRENT LATENT VARIABLE CONDITIONAL HETEROSCEDASTICITY
Sotirios Chatzis, Cyprus University of Technology, Cyprus
MLSP-P7.9: BINARY MATRIX COMPLETION WITH PERFORMANCE GUARANTEES FOR SINGLE INDIVIDUAL HAPLOTYPING
Somsubhra Barik, Haris Vikalo, The University of Texas at Austin, United States
MLSP-P8.1: LEARNING ENVIRONMENTAL SOUNDS WITH END-TO-END CONVOLUTIONAL NEURAL NETWORK
Yuji Tokozume, Tatsuya Harada, The University of Tokyo, Japan
MLSP-P8.2: AUTOMATIC INSECT RECOGNITION USING OPTICAL FLIGHT DYNAMICS MODELED BY KERNEL ADAPTIVE ARMA NETWORK
Kan Li, Jose C. Principe, University of Florida, United States
MLSP-P8.3: ACOUSTIC CLASSIFICATION USING SEMI-SUPERVISED DEEP NEURAL NETWORKS AND STOCHASTIC ENTROPY-REGULARIZATION OVER NEAREST-NEIGHBOR GRAPHS
Sunil Thulasidasan, Los Alamos National Laboratory, United States; Jeffrey Bilmes, University of Washington, United States
MLSP-P8.4: MEMORY VISUALIZATION FOR GATED RECURRENT NEURAL NETWORKS IN SPEECH RECOGNITION
Zhiyuan Tang, Ying Shi, Dong Wang, Yang Feng, Shiyue Zhang, Tsinghua University, China
MLSP-P8.5: USING REGIONAL SALIENCY FOR SPEECH EMOTION RECOGNITION
Zakaria Aldeneh, Emily Mower Provost, University of Michigan, United States
MLSP-P8.6: LEARNING REPRESENTATIONS OF EMOTIONAL SPEECH WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS
Jonathan Chang, Harvey Mudd College, United States; Stefan Scherer, University of Southern California, United States
MLSP-P8.7: SPEECH EMOTION RECOGNITION WITH SKEW-ROBUST NEURAL NETWORKS
Po-Yuan Shih, Chia-Ping Chen, National Sun Yat-sen University, Taiwan; Hsin-Min Wang, Academia Sinica, Taiwan
MLSP-P8.8: SPEECH EMOTION RECOGNITION WITH ENSEMBLE LEARNING METHODS
Po-Yuan Shih, Chia-Ping Chen, National Sun Yat-sen University, Taiwan; Chung-Hsien Wu, National Cheng-Kung University, Taiwan
MLSP-P8.9: DEEP NEURAL NETWORK BASED WAKE-UP-WORD SPEECH RECOGNITION WITH TWO-STAGE DETECTION
Fengpei Ge, Yonghong Yan, Institute of Acoustics, Chinese Academy of Sciences, China
MLSP-P8.10: MELODY EXTRACTION AND DETECTION THROUGH LSTM-RNN WITH HARMONIC SUM LOSS
Hyunsin Park, Chang D. Yoo, Korea Advanced Institute of Science and Technology, Republic of Korea
MLSP-P9.1: A HIERARCHICAL DIRICHLET PROCESS MIXTURE OF GID DISTRIBUTIONS WITH FEATURE SELECTION FOR SPATIO-TEMPORAL VIDEO MODELING AND SEGMENTATION
Wentao Fan, Huaqiao University, China; Nizar Bouguila, Concordia University, Canada; Xin Liu, Huaqiao University, China
MLSP-P9.2: MULTIVARIATE SCALE MIXTURES FOR JOINT SPARSE REGULARIZATION IN MULTI-TASK LEARNING
Ritwik Giri, Bhaskar D. Rao, University of California, San Diego, United States
MLSP-P9.3: DYNAMIC PROBABILISTIC LINEAR DISCRIMINANT ANALYSIS FOR VIDEO CLASSIFICATION
Alessandro Fabris, Imperial College London, United Kingdom; Mihalis Nicolaou, Goldsmiths, University of London, United Kingdom; Irene Kotsia, Middlesex University London, United Kingdom; Stefanos Zafeiriou, Imperial College London, United Kingdom
MLSP-P9.4: MULTI-ARMED BANDITS IN MULTI-AGENT NETWORKS
Shahin Shahrampour, Harvard University, United States; Alexander Rakhlin, University of Pennsylvania, United States; Ali Jadbabaie, Massachusetts Institute of Technology, United States
MLSP-P9.5: REDUCING TOTAL LATENCY IN ONLINE REAL-TIME INFERENCE AND DECODING VIA COMBINED CONTEXT WINDOW AND MODEL SMOOTHING LATENCIES
Chandrashekhar Lavania, Jeff Bilmes, University of Washington, Seattle, United States
MLSP-P9.6: KERNEL LEAST MEAN SQUARE BASED ON CONJUGATE GRADIENT
Siyuan Peng, Nanyang Technological University, China; Zongze Wu, Guangdong University of Technology, China; Wentao Ma, Xi'an University of Technology, China; Badong Chen, Xi'an Jiaotong University, China
MLSP-P9.7: ONLINE ANOMALY DETECTION USING NESTED DECISION TREES
Ibrahim Delibalta, Koc University, Turkey; Kaan Gokcesu, Mustafa Simsek, Bilkent University, Turkey; Lemi Baruh, Koc University, Turkey; Suleyman S. Kozat, Bilkent University, Turkey
MLSP-P9.8: LEARNING ONLINE ALIGNMENTS WITH CONTINUOUS REWARDS POLICY GRADIENT
Yuping Luo, Tsinghua University, China; Chung-Cheng Chiu, Navdeep Jaitly, Google Brain, United States; Ilya Sutskever, Open AI, China
MLSP-P9.9: DIRICHLET MIXTURE MATCHING PROJECTION FOR SUPERVISED LINEAR DIMENSIONALITY REDUCTION OF PROPORTIONAL DATA
Walid Masoudimansour, Nizar Bouguila, Concordia University, Canada
MLSP-P9.10: ONLINE LEARNING OF TIME-FREQUENCY PATTERNS
Jose F. Ruiz-Munoz, Universidad Nacional de Colombia, Colombia; Raviv Raich, Oregon State University, United States; Mauricio Orozco-Alzate, Universidad Nacional de Colombia, Colombia; Xiaoli Z. Fern, Oregon State University, United States
MLSP-P10.1: BALANCING EXPLORATION AND EXPLOITATION IN REINFORCEMENT LEARNING USING A VALUE OF INFORMATION CRITERION
Isaac Sledge, Jose C. Principe, University of Florida, United States
MLSP-P10.2: THE COUNTERINTUITIVE MECHANISM OF GRAPH-BASED SEMI-SUPERVISED LEARNING IN THE BIG DATA REGIME
Xiaoyi Mai, Beihang University, France; Romain Couillet, CentraleSupélec, France
MLSP-P10.3: LEARNING TIME VARYING GRAPHS
Vassilis Kalofolias, Andreas Loukas, Dorina Thanou, Pascal Frossard, École Polytechnique Fédérale de Lausanne, Switzerland
MLSP-P10.4: AN EFFICIENT MIXTURE OF EXPERTS METHOD FOR BIG DATA APPLICATIONS
O. Fatih Kilic, Bilkent University, Turkey; M. Omer Sayin, University of Illinois at Urbana-Champaign, Turkey; Suleyman S. Kozat, Bilkent University, Turkey
MLSP-P10.5: BAYESIAN JOINT-SEQUENCE MODELS FOR GRAPHEME-TO-PHONEME CONVERSION
Mirko Hannemann, Brno University of Technology, Czech Republic; Jan Trmal, Johns Hopkins University, United States; Lucas Ondel, Brno University of Technology, Czech Republic; Santosh Kesiraju, Indian Institute of Technology Hyderabad, India; Lukas Burget, Brno University of Technology, Czech Republic
MLSP-P10.6: COMPUTATIONALLY FEASIBLE ONLINE SECOND ORDER TIME SERIES PREDICTOR
Burak C. Civek, Suleyman S. Kozat, Bilkent University, Turkey
MLSP-P10.7: LEARNING ROTATION INVARIANCE IN DEEP HIERARCHIES USING CIRCULAR SYMMETRIC FILTERS
Dhruv Kohli, Biplab Das, Viswanath Gopalakrishnan, Kiran Iyer, Samsung Research & Development Institute, India
MLSP-P10.8: DEEP MULTI-VIEW ROBUST REPRESENTATION LEARNING
Zhenyu Jiao, Chao Xu, Peking University, China
MLSP-P10.9: ESTIMATION AND LEARNING OF DYNAMIC NONLINEAR NETWORKS (DYNNETS)
Mojtaba Sahraee-Ardakan, Alyson K. Fletcher, University of California, Los Angeles, United States
MLSP-P10.10: ACCELERATING DEEP CONVOLUTIONAL NETWORKS USING LOW-PRECISION AND SPARSITY
Ganesh Venkatesh, Eriko Nurvitadhi, Debbie Marr, Intel Labs, United States
MMSP-L1.1: PERSONALIZED VIDEO EMOTION TAGGING THROUGH A TOPIC MODEL
Shan Wu, Shangfei Wang, Zhen Gao, University of Science and Technology of China, China
MMSP-L1.2: EMOTION RECOGNITION THROUGH INTEGRATING EEG AND PERIPHERAL SIGNALS
Yangyang Shu, Shangfei Wang, University of Science and Technology of China, China
MMSP-L1.3: A KNOWLEDGE TRANSFER AND BOOSTING APPROACH TO THE PREDICTION OF AFFECT IN MOVIES
Sabyasachee Baruah, Indian Institute of Technology, India; Rahul Gupta, Shrikanth Narayanan, University of Southern California, United States
MMSP-L1.4: USE OF AFFECT BASED INTERACTION CLASSIFICATION FOR CONTINUOUS EMOTION TRACKING
Hossein Khaki, Engin Erzin, Koç University, Turkey
MMSP-L1.5: ON THE ROLE OF HEAD MOTION IN AFFECTIVE EXPRESSION
Atanu Samanta, Tanaya Guha, Indian Institute of Technology Kanpur, India
MMSP-L1.6: INFERRING EMOTIONS FROM HETEROGENEOUS SOCIAL MEDIA DATA: A CROSS-MEDIA AUTO-ENCODER SOLUTION
Shumei Zhang, Jia Jia, Yishuang Ning, Tsinghua University, China
MMSP-L2.1: 3D AUDIO-VISUAL SPEAKER TRACKING WITH AN ADAPTIVE PARTICLE FILTER
Xinyuan Qian, Queen Mary University of London, United Kingdom; Alessio Brutti, Maurizio Omologo, Fondazione Bruno Kessler, Italy; Andrea Cavallaro, Queen Mary University of London, United Kingdom
MMSP-L2.2: AUDIO-VISUAL OBJECT LOCALIZATION AND SEPARATION USING LOW-RANK AND SPARSITY
Jie Pu, Yannis Panagakis, Stavros Petridis, Imperial College London, United Kingdom; Maja Pantic, Imperial College London / University of Twente, United Kingdom
MMSP-L2.3: SEE AND LISTEN: SCORE-INFORMED ASSOCIATION OF SOUND TRACKS TO PLAYERS IN CHAMBER MUSIC PERFORMANCE VIDEOS
Bochen Li, Karthik Dinesh, Zhiyao Duan, Gaurav Sharma, University of Rochester, United States
MMSP-L2.4: RATE-COVERAGE ANALYSIS AND OPTIMIZATION FOR JOINT AUDIO-VIDEO MULTIMEDIA RETRIEVAL
Guanghan Ning, Zhi Zhang, University of Missouri-Columbia, United States; Xiaobo Ren, Haohong Wang, TCL Research America, United States; Zhihai He, University of Missouri-Columbia, United States
MMSP-L2.5: CROSS-MODAL TRANSFER WITH NEURAL WORD VECTORS FOR IMAGE FEATURE LEARNING
Go Irie, Taichi Asami, Shuhei Tarashima, Takayuki Kurozumi, Tetsuya Kinebuchi, NTT Corporation, Japan
MMSP-L2.6: CROSS-MODALITY MATCHING BASED ON FISHER VECTOR WITH NEURAL WORD EMBEDDINGS AND DEEP IMAGE FEATURES
Liang Han, Wenmin Wang, Mengdi Fan, Ronggang Wang, Peking University, China
MMSP-P1.1: SPARSE REPRESENTATION FOR COLORS OF 3D POINT CLOUD VIA VIRTUAL ADAPTIVE SAMPLING
Junhui Hou, City University of Hong Kong, China; Lap-Pui Chau, Ying He, Nanyang Technological University, Singapore; Philip A. Chou, Microsoft Research, Redmond, United States
MMSP-P1.2: DEEP MULTI-VIEW MODELS FOR GLITCH CLASSIFICATION
Sara Bahaadini, Neda Rohani, Scott Coughlin, Michael Zevin, Vicky Kalogera, Aggelos Katsaggelos, Northwestern University, United States
MMSP-P1.3: DYNAMIC POLYGON CLOUD COMPRESSION
Eduardo Pavez, University of Southern California, United States; Philip A. Chou, Microsoft Research, United States
MMSP-P1.4: CONTOUR-ENHANCED RESAMPLING OF 3D POINT CLOUDS VIA GRAPHS
Siheng Chen, Carnegie Mellon University, United States; Dong Tian, Chen Feng, Anthony Vetro, Mitsubishi Electric Research Laboratories, United States; Jelena Kovacevic, Carnegie Mellon University, United States
MMSP-P1.5: A REAL-TIME 3D HEAD MESH MODELING AND EXPRESSIVE ARTICULATORY ANIMATION SYSTEM
Jun Yu, Zeng-fu Wang, University of Science and Technology of China, China
MMSP-P1.6: DYNAMIC CLOUD OFFLOADING FOR VIEW SYNTHESIS
Qian Li, Xin Jin, Zhanqi Liu, Qionghai Dai, Tsinghua University, China
MMSP-P1.7: DISC-GLASSO: DISCRIMINATIVE GRAPH LEARNING WITH SPARSITY REGULARIZATION
Jiun-Yu Kao, University of Southern California, United States; Dong Tian, Hassan Mansour, Mitsubishi Electric Research Laboratories, United States; Antonio Ortega, University of Southern California, United States; Anthony Vetro, Mitsubishi Electric Research Laboratories, United States
MMSP-P2.1: LEARNING DEEP VECTOR REGRESSION MODEL FOR NO-REFERENCE IMAGE QUALITY ASSESSMENT
Jie Gu, Gaofeng Meng, Lingfeng Wang, Chunhong Pan, Institute of Automation, Chinese Academy of Sciences, China
MMSP-P2.2: MULTI-VIEW REPRESENTATION LEARNING VIA GCCA FOR MULTIMODAL ANALYSIS OF PARKINSON'S DISEASE
Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, University of Antioquia, Colombia; Raman Arora, Johns Hopkins University, United States; Elmar Nöth, Friedrich Alexander Universitat Erlangen-Nuremberg, Germany; Najim Dehak, Johns Hopkins University, United States; Heidi Christensen, University of Sheffield, United Kingdom; Frank Rudzicz, University of Toronto, Canada; Tobias Bocklet, Intel Corporation, Germany; Milos Cernak, Idiap research institute, Switzerland; Hamidreza Chinaei, University of Toronto, Canada; Julius Hannick, Friedrich Alexander Universitat Erlangen-Nuremberg, Germany; Phani Sankar Nidadavolu, Johns Hopkins University, United States; Maria Yancheva, University of Toronto, Canada; Alyssa Vann, Stanford University, United States; Nikolai Vogler, University of California, Irvine, United States
MMSP-P2.3: FEATURE EXTRACTION USING MULTIMODAL CONVOLUTIONAL NEURAL NETWORKS FOR VISUAL SPEECH RECOGNITION
Eric Tatulli, Thomas Hueber, CNRS / Univ. Grenoble-Alpes / GIPSA-lab, France
MMSP-P2.4: AN ACCUMULATIVE FUSION ARCHITECTURE FOR DISCRIMINATING PEOPLE AND VEHICLES USING ACOUSTIC AND SEISMIC SIGNALS
Kyunghun Lee, University of Maryland, United States; Benjamin Riggan, U.S. Army Research Laboratory, United States; Shuvra Bhattacharyya, University of Maryland, United States
MMSP-P2.5: MULTI-TASK LEARNING FOR FACE IDENTIFICATION AND ATTRIBUTE ESTIMATION
Hui-Lan Hsieh, Winston Hsu, National Taiwan University, Taiwan; Yan-Ying Chen, Palo Alto Laboratory, Taiwan
MMSP-P2.6: A FIRST ATTEMPT AT POLYPHONIC SOUND EVENT DETECTION USING CONNECTIONIST TEMPORAL CLASSIFICATION
Yun Wang, Florian Metze, Carnegie Mellon University, United States
MMSP-P2.7: FAST TAGGING OF NATURAL SOUNDS USING MARGINAL CO-REGULARIZATION
Qiang Huang, Yong Xu, Philip J. B. Jackson, Wenwu Wang, Mark D. Plumbley, University of Surrey, United Kingdom
MMSP-P2.8: 3A: A PERSON RE-IDENTIFICATION SYSTEM VIA ATTRIBUTE AUGMENTATION AND AGGREGATION
Zheng Wang, Ruimin Hu, Chao Liang, Rui Shao, Wuhan University, China; Yi Yu, National Institute of Informatics, Japan
MMSP-P3.1: QUANTIFYING REGULATION MECHANISMS IN DATING COUPLES THROUGH A DYNAMICAL SYSTEMS MODEL OF ACOUSTIC AND PHYSIOLOGICAL AROUSAL
Theodora Chaspari, Sohyun C. Han, Daniel Bone, Adela C. Timmons, Laura Perrone, Gayla Margolin, Shrikanth Narayanan, University of Southern California, United States
MMSP-P3.2: PERSONALIZED VIDEO PREFERENCE ESTIMATION BASED ON EARLY FUSION USING MULTIPLE USERS’ VIEWING BEHAVIOR
Yoshiki Ito, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan
MMSP-P3.3: ON TOA ESTIMATION OF VIBRATION SIGNALS FOR LOCALIZING IMPACTS ON SOLID SURFACES
Quang Hanh Nguyen, Vaninirappuputhenpurayil gopalan Reju, Andy W. H. Khong, Nanyang Technological University, Singapore
MMSP-P3.4: AUTOMATIC MATCHING AND SYNCHRONIZATION OF USER GENERATED VIDEOS FROM A LARGE SCALE SPORT EVENT
Nikolaos Stefanakis, Foundation for Research and Technology - Hellas, Greece; Stavros Chonianakis, University of Crete, Greece; Athanasios Mouchtaris, Foundation for Research and Technology - Hellas, Greece
MMSP-P3.5: VISUALLY INFORMED MULTI-PITCH ANALYSIS OF STRING ENSEMBLES
Karthik Dinesh, Bochen Li, University of Rochester, United States; Xinzhao Liu, Listent American Corp, United States; Zhiyao Duan, Gaurav Sharma, University of Rochester, United States
MMSP-P3.6: A PERFORMANCE-BASED APPROACH TO DESIGNING THE STIMULUS PRESENTATION PARADIGM FOR THE P300-BASED BCI BY EXPLOITING CODING THEORY
B. O. Mainsah, L. M. Collins, G. Reeves, C. S. Throckmorton, Duke University, United States
MMSP-P3.7: FACE ALBUM: TOWARDS AUTOMATIC PHOTO MANAGEMENT BASED ON PERSON IDENTITY ON MOBILE PHONES
Yuansheng Xu, Fangyue Peng, Peking University, China; Yu Yuan, Beijing University of Posts and Telecommunications, China; Yizhou Wang, Peking University, China
MMSP-P3.8: TOWARDS DECODING SPEECH PRODUCTION FROM SINGLE-TRIAL MAGNETOENCEPHALOGRAPHY (MEG) SIGNALS
Jun Wang, Myungjong Kim, The University of Texas at Dallas, United States; Angel Hernandez-Mulero, Cook Children's Hospital, United States; Daragh Heitzman, Texas Neurology, United States; Paul Ferrari, Dell Children's Medical Center, United States
MMSP-P3.9: ROBUST VIDEO FINGERPRINTS USING POSITIONS OF SALIENT REGIONS
Chahid Ouali, Pierre Dumouchel, École de Technologie Supérieure, Canada; Vishwa Gupta, Computer Research Institute of Montreal, Canada
MMSP-P3.10: REAL-TIME AND PARALLEL SHVC HYBRID CODEC AVC TO HEVC DECODER
Pierre-Loup Cabarat, Wassim Hamidouche, Olivier Déforges, IETR / INSA Rennes, France
SAM-L1.1: SECOND-ORDER PERFORMANCE ANALYSIS OF STANDARD ESPRIT
Jens Steinwandt, Florian Roemer, Martin Haardt, Ilmenau University of Technology, Germany
SAM-L1.2: UNIFIED ANALYSIS OF CO-ARRAY INTERPOLATION FOR DIRECTION-OF-ARRIVAL ESTIMATION
Heng Qiao, Piya Pal, University of California, San Diego, United States
SAM-L1.3: PERFORMANCE ANALYSIS OF COARRAY-BASED MUSIC AND THE CRAMÉR-RAO BOUND
Mianzhi Wang, Zhen Zhang, Arye Nehorai, Washington University in St. Louis, United States
SAM-L1.4: DIRECTION FINDING USING SPARSE LINEAR ARRAYS WITH MISSING DATA
Mianzhi Wang, Zhen Zhang, Arye Nehorai, Washington University in St. Louis, United States
SAM-L1.5: LOW-COMPLEXITY OPTIMIZATION FOR TWO-DIMENSIONAL DIRECTION-OF-ARRIVAL ESTIMATION VIA DECOUPLED ATOMIC NORM MINIMIZATION
Zhi Tian, Zhe Zhang, Yue Wang, George Mason University, United States
SAM-L1.6: ROBUST DOA ESTIMATION IN THE PRESENCE OF MIS-CALIBRATED SENSORS
Ben Wang, Temple University, United States; Si Qin, Villanova University, United States; Yimin Daniel Zhang, Temple University, United States; Moeness G. Amin, Villanova University, United States
SAM-L2.1: ON SATURATION OF THE CRAMÉR RAO BOUND FOR SPARSE BAYESIAN LEARNING
Ali Koochakzadeh, Piya Pal, University of California, San Diego, United States
SAM-L2.2: A COMPREHENSIVE PERFORMANCE COMPARISON OF RFI MITIGATION TECHNIQUES FOR UWB RADAR SIGNALS
Lam Nguyen, U.S. Army Research Laboratory, United States; Trac D. Tran, Johns Hopkins University, United States
SAM-L2.3: POLARIMETRIC RADAR CROSSTALK REMOVAL DURING SPARSE IMAGE FORMATION
Julie Jackson, Air Force Institute of Technology, United States; Forest Lee-Elkin, Consultant, United States
SAM-L2.4: EFFICIENT MULTIDIMENSIONAL PARAMETER ESTIMATION FOR JOINT WIDEBAND RADAR AND COMMUNICATION SYSTEMS BASED ON OFDM
Jianshu Zhang, Ilmenau University of Technology, Germany; Ivan Podkurkov, Tupolev Kazan National Research Technical University, Russian Federation; Martin Haardt, Ilmenau University of Technology, Germany; Adel Nadeev, Tupolev Kazan National Research Technical University, Russian Federation
SAM-L2.5: PERTURBATION ANALYSIS OF JOINT EIGENVALUE DECOMPOSITION ALGORITHMS
Emilio Rafael Balda, Sher Ali Cheema, Technical University Ilmenau, Germany; Amir Weiss, Arie Yeredor, Tel Aviv University, Israel; Martin Haardt, Technical University Ilmenau, Germany
SAM-L2.6: BAYESIAN INFORMATION CRITERION FOR MULTIDIMENSIONAL SINUSOIDAL ORDER SELECTION
Jie Xiong, University of Electronic Science and Technology of China, China; Kefei Liu, Indiana University School of Medicine, Indianapolis, IN, USA 46202, Armenia; Joao Paulo Carvalho Lustosa da Costa, Ilmenau University of Technology, Germany; Wen-Qin Wang, University of Electronic Science and Technology of China, Institute for Integrated Circuits, China
SAM-L3.1: FAST HYPERSPECTRAL UNMIXING IN PRESENCE OF SPARSE MULTIPLE SCATTERING NONLINEARITIES
Abderrahim Halimi, Heriot-Watt University, United Kingdom; Jose Bioucas-Dias, Universidade de Lisboa, Portugal; Nicolas Dobigeon, University of Toulouse, France; Gerald S. Buller, Steve McLaughlin, Heriot-Watt University, United Kingdom
SAM-L3.2: BAYESIAN RECONSTRUCTION OF HYPERSPECTRAL IMAGES BY USING COMPRESSED SENSING MEASUREMENTS AND A LOCAL STRUCTURED PRIOR
Yuri Mejía, Universidad Industrial de Santander, Colombia; Facundo Costa, IRIT/INP-ENSEEIHT, France; Henry Arguello, Universidad Industrial de Santander, Colombia; Jean-Yves Tourneret, Hadj Batatia, IRIT/INP-ENSEEIHT, France
SAM-L3.3: SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION
Cheng-Yu Hung, Mostafa Kaveh, University of Minnesota, United States
SAM-L3.4: ONE-BIT SPARSE ARRAY DOA ESTIMATION
Chun-Lin Liu, Palghat P. Vaidyanathan, California Institute of Technology, United States
SAM-L3.5: LOW-RANK PHYSICAL MODEL RECOVERY FROM LOW-RANK SIGNAL APPROXIMATION
Charles Ethan Hayes, James H. McClellan, Waymond R. Scott, Jr, Georgia Institute of Technology, United States
SAM-L3.6: DOA ESTIMATION FROM ONE-BIT COMPRESSED ARRAY DATA VIA JOINT SPARSE REPRESENTATION
Kai Yu, Zhejiang University, China; Yimin Daniel Zhang, Temple University, United States; Ming Bao, Institute of Acoustics, Chinese Academy of Sciences, China; Yu-Hen Hu, University of Wisconsin-Madison, United States; Zhi Wang, Zhejiang University, China
SAM-L4.1: THROUGH-THE-WALL RADAR SIGNAL CLASSIFICATION USING DISCRIMINATIVE DICTIONARY LEARNING
Abdesselam Bouzerdoum, Fok Hing Chi Tivive, Jia Fei, University of Wollongong, Australia
SAM-L4.2: PERFORMANCE OF TIME DELAY ESTIMATION IN A COGNITIVE RADAR
Kumar Vijay Mishra, Yonina C. Eldar, Technion - Israel Institute of Technology, Israel
SAM-L4.3: SENSOR SCHEDULING FOR TARGET TRACKING IN LARGE MULTISTATIC SONOBUOY FIELDS
Daniel Angley, Sofia Suvorova, Branko Ristic, William Moran, RMIT University, Australia; Fiona Fletcher, Han Gaetjens, Sergey Simakov, Defence Science Technology Group, Australia
SAM-L4.4: A DISTRIBUTED PARTICLE FILTER FOR BEARINGS-ONLY TRACKING ON SPHERICAL SURFACES
Jun Ye Yu, Mark J. Coates, Michael G. Rabbat, McGill University, Canada; Stephane Blouin, Defence Research and Development Canada, Canada
SAM-L4.5: LOCALIZATION OF MULTIPLE SOURCES USING TIME-DIFFERENCE OF ARRIVAL MEASUREMENTS
Florian Meyer, Alessandra Tesei, Centre for Maritime Research and Experimentation, Italy; Moe Z. Win, Massachusetts Institute of Technology, United States
SAM-L4.6: A LATTICE METHOD FOR RESOLVING RANGE AMBIGUITY IN DUAL-FREQUENCY RFID TAG LOCALISATION
Wenchao Li, The University of Melbourne, Australia; Xuezhi Wang, Bill Moran, RMIT, Australia
SAM-P1.1: LOW ANGLE DIRECTION OF ARRIVAL ESTIMATION BY TIME REVERSAL
Xiaolu Zeng, Minglei Yang, Baixiao Chen, Xidian University, China; Yuanwei Jin, University of Maryland Eastern Shore, China
SAM-P1.2: A FAST COVARIANCE MATRIX RECONSTRUCTION METHOD FOR TWO-DIMENSIONAL DIRECTION-OF-ARRIVAL ESTIMATION
Xiaohuan Wu, Nanjing University of Posts and Telecommunications, China; Wei-Ping Zhu, Concordia University, Canada; Jun Yan, Nanjing University of Posts and Telecommunications, China
SAM-P1.3: AN ACCURATE PERTURBATION ANALYSIS ALGORITHM FOR MUSIC WITH TOEPLITZ COVARIANCE MATRIX
Yang Hu, Yimin Liu, Xiqin Wang, Tsinghua University, China
SAM-P1.4: MULTI SNAPSHOT SPARSE BAYESIAN LEARNING FOR DOA
Peter Gerstoft, Santosh Nannuru, Angeliki Xenaki, University of California, San Diego, United States; Christoph Mecklenbrauker, Technical University of Vienna, United States
SAM-P1.5: DOA ESTIMATION IN STRUCTURED PHASE-NOISY ENVIRONMENTS
Angélique Drémeau, ENSTA Bretagne, France; Cédric Herzet, Institut National de Recherche en Informatique et Automatique, France
SAM-P1.6: OPTIMIZED COMPRESSIVE SENSING-BASED DIRECTION-OF-ARRIVAL ESTIMATION IN MASSIVE MIMO
Yujie Gu, Yimin Daniel Zhang, Temple University, United States; Nathan Goodman, The University of Oklahoma, United States
SAM-P1.7: FRIDA: FRI-BASED DOA ESTIMATION FOR ARBITRARY ARRAY LAYOUT
Hanjie Pan, Robin Scheibler, Eric Bezzam, École Polytechnique Fédérale de Lausanne, Switzerland; Ivan Dokmanic, CNRS, France; Martin Vetterli, École Polytechnique Fédérale de Lausanne, Switzerland
SAM-P1.8: REDUCED-RANK DOA ESTIMATION ALGORITHMS BASED ON ALTERNATING LOW-RANK DECOMPOSITION
Rodrigo de Lamare, PUC-Rio, Brazil
SAM-P1.9: COHERENCE-ADJUSTED MONOPOLE DICTIONARY AND CONVEX CLUSTERING FOR 3D LOCALIZATION OF MIXED NEAR-FIELD AND FAR-FIELD SOURCES
Tomoya Tachikawa, Kohei Yatabe, Yasuhiro Oikawa, Waseda University, Japan
SAM-P2.1: ARRAY COVARIANCE MATRIX-BASED ATOMIC NORM MINIMIZATION FOR OFF-GRID COHERENT DIRECTION-OF-ARRIVAL ESTIMATION
Yu Zhang, Gong Zhang, Xinhai Wang, Nanjing University of Aeronautics and Astronautics, China
SAM-P2.2: SUB-NYQUIST PULSE DOPPLER MIMO RADAR
David Cohen, Deborah Cohen, Yonina C. Eldar, Technion - Israel Institute of Technology, Israel; Alexander M. Haimovich, New Jersey Institute of Technology, United States
SAM-P2.3: A NOVEL DATA-DRIVEN LEARNING METHOD FOR RADAR TARGET DETECTION IN NONSTATIONARY ENVIRONMENTS
Murat Akcakaya, University Of Pittsburgh, United States; Satyabrata Sen, Oak Ridge National Laboratory, United States; Arye Nehorai, Washington University in St. Louis, United States
SAM-P2.4: RECEIVER-TRANSMITTER PAIR SELECTION IN MIMO PHASED ARRAY RADAR
Hamed Nosrati, Elias Aboutanios, University of New South Wales, Australia; David Smith, Data61, CSIRO, Australia
SAM-P2.5: RADAR WAVEFORM SIDELOBE LEVEL OPTIMALITY AND SAMPLING
Tuomas Aittomäki, Visa Koivunen, Aalto University, Finland
SAM-P2.6: AVERAGE SCR LOSS ANALYSIS FOR POLARIMETRIC STAP WITH KRONECKER STRUCTURED COVARIANCE MATRIX
Yikai Wang, Wei Xia, Zishu He, University of Electronic Science and Technology of China, China; Hongbin Li, Stevens Institute of Technology, United States; Athina Petropulu, Rutgers, The State University of New Jersey, United States
SAM-P2.7: MATRIX COMPLETION BASED MIMO RADARS WITH CLUTTER AND INTERFERENCE MITIGATION VIA TRANSMIT PRECODING
Bo Li, Athina Petropulu, Rutgers, The State University of New Jersey, United States
SAM-P2.8: HEURISTIC METHODS FOR DESIGNING UNIMODULAR CODE SEQUENCES WITH PERFORMANCE GUARANTEES
Shankarachary Ragi, Arizona State University, United States; Edwin K. P. Chong, Colorado State University, United States; Hans D. Mittelmann, Arizona State University, United States
SAM-P2.9: EFFICIENT SINGLE/MULTIPLE UNIMODULAR WAVEFORM DESIGN WITH LOW WEIGHTED CORRELATIONS
Yongzhe Li, Sergiy A. Vorobyov, Aalto University, Finland
SAM-P3.1: MEASUREMENT OF SOUND FIELDS USING MOVING MICROPHONES
Fabrice Katzberg, Radoslaw Mazur, Marco Maass, Philipp Koch, Alfred Mertins, University of Lübeck, Germany
SAM-P3.2: JAZZ: A COMPANION TO MUSIC FOR FREQUENCY ESTIMATION WITH MISSING DATA
Qiuwei Li, Shuang Li, Colorado School of Mines, United States; Hassan Mansour, Mitsubishi Electric Research Laboratories, United States; Michael Wakin, Dehui Yang, Zhihui Zhu, Colorado School of Mines, United States
SAM-P3.3: MULTIPLE SOUND SOURCE LOCALIZATION BASED ON TDOA CLUSTERING AND MULTI-PATH MATCHING PURSUIT
Hong Liu, Bing Yang, Cheng Pang, Peking University, Shenzhen Graduate School, China
SAM-P3.4: LOW-COMPLEXITY 2D DIRECTION-OF-ARRIVAL ESTIMATION FOR ACOUSTIC SENSOR ARRAYS
Kai Yu, Zhejiang University, China; Ralph E. Hudson, University of California, Los Angeles, United States; Yimin Daniel Zhang, Temple University, United States; Kung Yao, Charles Taylor, University of California, Los Angeles, United States; Zhi Wang, Zhejiang University, China
SAM-P3.5: ON TIME-FREQUENCY MASK ESTIMATION FOR MVDR BEAMFORMING WITH APPLICATION IN ROBUST SPEECH RECOGNITION
Xiong Xiao, Nanyang Technological University, Singapore; Shengkui Zhao, Douglas L. Jones, Advanced Digital Sciences Center, Singapore; Eng Siong Chng, Nanyang Technological University, Singapore; Haizhou Li, National University of Singapore, Singapore
SAM-P3.6: COMPLEX AND QUATERNIONIC PRINCIPAL COMPONENT PURSUIT AND ITS APPLICATION TO AUDIO SEPARATION
Tak-Shing Chan, Yi-Hsuan Yang, Academia Sinica, Taiwan
SAM-P3.7: ATOMIC NORM MINIMIZATION FOR MODAL ANALYSIS WITH RANDOM SPATIAL COMPRESSION
Shuang Li, Dehui Yang, Michael Wakin, Colorado School of Mines, United States
SAM-P3.8: A NOVEL SPARSE MODEL FOR MULTI-SOURCE LOCALIZATION USING DISTRIBUTED MICROPHONE ARRAY
Thi Ngoc Tho Nguyen, Cagdas Tuna, Shengkui Zhao, Advanced Digital Sciences Center, Singapore; Douglas L. Jones, University of Illinois at Urbana-Champaign, United States
SAM-P3.9: OMNIDIRECTIONAL BATS, POINT-TO-PLANE DISTANCES, AND THE PRICE OF UNIQUENESS
Miranda Krekovic, École Polytechnique Fédérale de Lausanne, Switzerland; Ivan Dokmanic, Ecole Supérieure de Physique Chimie Industrielles de Paris, France; Martin Vetterli, École Polytechnique Fédérale de Lausanne, Switzerland
SAM-P3.10: ROBUST SPEAKER DOA ESTIMATION BASED ON THE INTER-SENSOR DATA RATIO MODEL AND BINARY MASK ESTIMATION IN THE BISPECTRUM DOMAIN
Yanhan Jin, Yuexian Zou, Peking University, China; Christian H. Ritz, University of Wollongong, Australia
SAM-P4.1: A TWO-STAGE OPTIMIZATION APPROACH TO THE ASYNCHRONOUS MULTI-SENSOR REGISTRATION PROBLEM
Wenqiang Pu, Xidian University, China; Ya-Feng Liu, Chinese Academy of Sciences, China; Junkun Yan, Shenghua Zhou, Hongwei Liu, Xidian University, China; Zhi-Quan Luo, The Chinese University of Hong Kong, Shenzhen, China
SAM-P4.2: A SELF-CALIBRATING BIDIRECTIONAL INDOOR LOCALIZATION SYSTEM
Nizam Kuxdorf-Alkirata, Thomas Werthwein, Anna Heinemann, Dieter Brückmann, University of Wuppertal, Germany
SAM-P4.3: CRAMER-RAO BOUNDS FOR THE LOCALIZATION OF ANISOTROPIC SOURCES
Etienne Monier, Gilles Chardon, CentraleSupélec, France
SAM-P4.4: CRAMÉR-RAO BOUNDS FOR UNDERDETERMINED SOURCE LOCALIZATION
Ali Koochakzadeh, Piya Pal, University of California, San Diego, United States
SAM-P4.5: HYPOTHESIS TESTING IN THE PRESENCE OF MAXWELL'S DAEMON: SIGNAL DETECTION BY UNLABELED OBSERVATIONS
Stefano Marano, Vincenzo Matta, University of Salerno, Italy; Peter Willett, University of Connecticut, United States; Paolo Braca, Centre for Maritime Research and Experimentation, Italy; Rick S. Blum, Lehigh University, United States
SAM-P4.6: PARAMETER ESTIMATION FROM HETEROGENEOUS/MULTIMODAL DATA SETS
Inbar Fijalkow, ETIS / ENSEA - Université de Cergy-Pontoise - CNRS, France; Elad Heiman, Hagit Messer, Tel Aviv University, Israel
SAM-P4.7: A SUBSPACE APPROACH FOR SHRINKAGE PARAMETER SELECTION IN UNDERSAMPLED CONFIGURATION FOR REGULARISED TYLER ESTIMATORS
Quentin Hoarau, Université Savoie Mont Blanc, France; Arnaud Breloy, Université Paris X, France; Guillaume Ginolhac, Abdourrahmane M. Atto, Université Savoie Mont Blanc, France; Jean-Marie Nicolas, Télécom ParisTech, France
SAM-P4.8: PRIOR KNOWLEDGE AIDED SUPER-RESOLUTION LINE SPECTRAL ESTIMATION: AN ITERATIVE REWEIGHTED ALGORITHM
Feiyu Wang, Jun Fang, University of Electronic Science and Technology of China, China; Hongbin Li, Stevens Institute of Technology, United States
SAM-P4.9: ON THE BIAS OF PSEUDOLINEAR ESTIMATORS FOR TIME-OF-ARRIVAL BASED LOCALIZATION
Ngoc Hung Nguyen, Kutluyil Dogancay, University of South Australia, Australia
SAM-P4.10: GENERALIZED SIGNAL UTILITY FOR LMMSE SIGNAL ESTIMATION WITH APPLICATION TO GREEDY QUANTIZATION IN WIRELESS SENSOR NETWORKS
Fernando de la Hucha Arce, KU Leuven, Belgium; Fernando Rosas, National Taiwan University, Taiwan; Marc Moonen, Marian Verhelst, Alexander Bertrand, KU Leuven, Belgium
SAM-P5.1: EVENT-BASED CONSENSUS FOR A CLASS OF HETEROGENEOUS MULTI-AGENT SYSTEMS: AN LMI APPROACH
Amir Amini, Arash Mohammadi, Amir Asif, Concordia University, Canada
SAM-P5.2: BALANCED SENSOR MANAGEMENT ACROSS MULTIPLE TIME INSTANCES VIA L-1/L-INFINITY NORM MINIMIZATION
Cristian Rusu, John Thompson, University of Edinburgh, United Kingdom; Neil Robertson, Queen’s University Belfast, United Kingdom
SAM-P5.3: CYBER ATTACKS ON ESTIMATION SENSOR NETWORKS AND IOTS: IMPACT, MITIGATION AND IMPLICATIONS TO UNATTACKED SYSTEMS
Jiangfan Zhang, Columbia University, United States; Rick S. Blum, Lehigh University, United States; Lance Kaplan, U.S. Army Research Laboratory, United States
SAM-P5.4: INDOOR MAPPING USING MIMO RADIO CHANNEL MEASUREMENTS
Hassan Naseri, Aalto University, Finland; Jussi Salmi, Zenniz, Finland; Visa Koivunen, Aalto University, Finland
SAM-P5.5: DISTRIBUTED TV-L1 IMAGE FUSION USING PDMM
Matt O'Connor, Victoria University of Wellington / Australian National University, New Zealand; W. Bastiaan Kleijn, Victoria University of Wellington, New Zealand; Thushara Abhayapala, Australian National University, Australia
SAM-P5.6: PRIVACY-PRESERVING INDOOR LOCALIZATION VIA LIGHT TRANSPORT ANALYSIS
Jinyuan Zhao, Prakash Ishwar, Janusz Konrad, Boston University, United States
SAM-P5.7: ASYMPTOTIC PERFECT SECRECY IN DISTRIBUTED ESTIMATION FOR LARGE SENSOR NETWORKS
Jun Guo, Hao Chen, Boise State University, United States; Uri Rogers, Eastern Washington University, United States
SAM-P5.8: DESIGN OF SPACE-TIME BLOCK CODED UNIQUE WORD OFDM SYSTEMS
Sher Ali Cheema, Jianshu Zhang, Technical University Ilmenau, Germany; Mario Huemer, Johannes Kepler University Linz, Austria; Martin Haardt, Technical University Ilmenau, Germany
SAM-P5.9: CHANGE DETECTION BETWEEN MULTI-BAND IMAGES USING A ROBUST FUSION-BASED APPROACH
Vinicius Ferraris, Nicolas Dobigeon, University of Toulouse, France; Qi Wei, University of Cambridge, United Kingdom; Marie Chabert, University of Toulouse, France
SAM-P5.10: INTERFERENCE CANCELLATION IN TWO-CHANNEL NUCLEAR QUADRUPOLE RESONANCE MEASUREMENTS
Tommaso Piatti, Shiwen Lei, Lund University, Sweden; Jamie Barras, King's College, United Kingdom; Andreas Jakobsson, Lund University, Sweden
SAM-P6.1: PERFORMANCE ANALYSIS OF AN AOA ESTIMATOR IN THE PRESENCE OF MORE MUTUAL COUPLING PARAMETERS
Ahmad Bazzi, Eurecom / RW-CEVA, France; Dirk Slock, Eurecom, France; Lisa Meilhac, RW-CEVA, France
SAM-P6.2: ON MUTUAL COUPLING FOR ULAS: ESTIMATING AOAS IN THE PRESENCE OF MORE COUPLING PARAMETERS
Ahmad Bazzi, Eurecom / RW-CEVA, France; Dirk Slock, Eurecom, France; Lisa Meilhac, RW-CEVA, France
SAM-P6.3: APPLYING THE UNIT CIRCLE CONSTRAINT TO THE DIAGONALLY LOADED MINIMUM VARIANCE DISTORTIONLESS RESPONSE BEAMFORMER
Colin Ryan, John R. Buck, University of Massachusetts Dartmouth, United States
SAM-P6.4: EFFECTIVE ESTIMATION OF THE DESIRED-SIGNAL SUBSPACE AND ITS APPLICATION TO ROBUST ADAPTIVE BEAMFORMING
Zhenyu Zhang, Wen Leng, Anguo Wang, Tianjin University, China; Wei Liu, University of Sheffield, United Kingdom; Heping Shi, Tianjin University of Technology and Education, China
SAM-P6.5: A LOW-COMPLEXITY BEAMFORMING METHOD BY ORTHOGONAL CODEBOOKS FOR MILLIMETER WAVE LINKS
Hsiao-Lan Chiang, Wolfgang Rave, Tobias Kadur, Gerhard Fettweis, Technische Universität Dresden, Germany
SAM-P6.6: FLEXARRAY: RANDOM PHASED ARRAY LAYOUTS FOR ANALYTICAL SPATIAL FILTERING
Paul Hurley, IBM Zurich Research Laboratory, Switzerland; Matthieu Simeoni, École Polytechnique Fédérale de Lausanne, Switzerland
SAM-P6.7: RADIOASTRONOMICAL LEAST SQUARES IMAGE RECONSTRUCTION WITH ITERATION REGULARIZED KRYLOV SUBSPACES AND BEAMFORMING-BASED PRIOR CONDITIONING
Shahrzad Naghibzadeh, Alle-Jan van der Veen, Delft University of Technology, Netherlands
SAM-P6.8: BIVARIATE PROBABILISTIC CONSTRAINED PROGRAMMING FOR INTERFERENCE EXPLOITATION IN THE COGNITIVE RADIO
Ka Lung Law, Huawei, China; Christos Masouros, University College London, United Kingdom; Marius Pesavento, Technische Universitat Darmstadt, Germany
SAM-P6.9: SPARSE RECONSTRUCTION-BASED BEAMPATTERN SYNTHESIS FOR MULTI-CARRIER FREQUENCY DIVERSE ARRAY ANTENNA
Jie Xiong, Wen-Qin Wang, University of Electronic Science and Technology of China, China
SAM-P7.1: MOVING TARGET LOCALIZATION IN MULTISTATIC SONAR USING TIME DELAYS, DOPPLER SHIFTS AND ARRIVAL ANGLES
Liu Yang, Le Yang, Jiangnan University, China; Dominic K.C. Ho, University of Missouri, United States
SAM-P7.2: DETECTION RATE OPTIMIZATION IN RADAR SYSTEMS WITH UNKNOWN DISTURBANCE POWER
Emanuele Grossi, Marco Lops, Luca Venturino, Università degli Studi di Cassino e del Lazio Meridionale, Italy
SAM-P7.3: DETECTION RATE OPTIMIZATION IN SURVEILLANCE RADARS WITH TWO-STEP SEQUENTIAL DETECTION
Emanuele Grossi, Marco Lops, Luca Venturino, Università degli Studi di Cassino e del Lazio Meridionale, Italy
SAM-P7.4: DELAY AND DOPPLER PROCESSING FOR MULTI-TARGET DETECTION WITH IEEE 802.11 OFDM SIGNALING
Duy H. N. Nguyen, San Diego State University, United States; Robert Heath, Jr., The University of Texas at Austin, United States
SAM-P7.5: COMPRESSIVE PULSE-DOPPLER RADAR SENSING VIA 1-BIT SAMPLING WITH TIME-VARYING THRESHOLD
Sayed Jalal Zahabi, Mohammad Mahdi Naghsh, Mahmoud Modarres-Hashemi, Isfahan University of Technology, Iran; Jian Li, University of Florida, United States
SAM-P7.6: MULTIPLE WAVELENGTH SENSING ARRAY DESIGN
Gal Shulkind, Stefanie Jegelka, Gregory W. Wornell, Massachusetts Institute of Technology, United States
SAM-P7.7: NEW ASYMPTOTIC PROPERTIES FOR THE ROBUST ANMF
Gordana Draskovic, Frederic Pascal, L2S/CentraleSupelec, France; Arnaud Breloy, LEME/University Paris Ouest, France; Jean-Yves Tourneret, IRIT/ENSEEIHT, France
SAM-P7.8: HIGH-RESOLUTION DIRECTION-OF-ARRIVAL ESTIMATION IN SNR AND SNAPSHOT CHALLENGED SCENARIOS USING MULTI-FREQUENCY COPRIME ARRAYS
Yang Liu, John R. Buck, University of Massachusetts Dartmouth, United States
SAM-P7.9: COMPUTING THE LARGEST EIGENVALUE DISTRIBUTION FOR COMPLEX WISHART MATRICES
Scott R. Jones, Arizona State University, United States; Stephen D. Howard, Defence Science and Technology Group, Australia; I. Vaughan L. Clarkson, Konstanty S. Bialkowsky, University of Queensland, Australia; Douglas Cochran, Arizona State University, United States
SAM-P7.10: EMITTER SOURCE LOCALIZATION USING TIME-OF-ARRIVAL MEASUREMENTS FROM SINGLE MOVING RECEIVER
Yanbin Zou, Qun Wan, University of Electronic Science and Technology of China, China
SPCOM-L1.1: HYBRID PRECODING USING LONG-TERM CHANNEL STATISTICS FOR MASSIVE MIMO SYSTEMS
Sungwoo Park, Jeonghun Park, Robert Heath, Jr., The University of Texas at Austin, United States; Ali Yazdan, Facebook, United States
SPCOM-L1.2: JAMMING MASSIVE MIMO USING MASSIVE MIMO: ASYMPTOTIC SEPARABILITY RESULTS
Julia Vinogradova, Emil Björnson, Erik G. Larsson, Linköping University, Sweden
SPCOM-L1.3: TIME-MULTIPLEXED / SUPERIMPOSED PILOT SELECTION FOR MASSIVE MIMO PILOT DECONTAMINATION
Karthik Upadhya, Sergiy A. Vorobyov, Aalto University, Finland; Mikko Vehkapera, University of Sheffield, United Kingdom
SPCOM-L1.4: POKEMON: A NON-LINEAR BEAMFORMING ALGORITHM FOR 1-BIT MASSIVE MIMO
Oscar Castañeda, Cornell University, United States; Tom Goldstein, University of Maryland, United States; Christoph Studer, Cornell University, United States
SPCOM-L1.5: ITERATIVE BEAM ALIGNMENT ALGORITHMS FOR TDD MIMO SYSTEMS
Dennis Ogbe, David Love, Purdue University, United States; Vasanthan Raghavan, Qualcomm Technologies, Inc., United States
SPCOM-L1.6: MASSIVE MIMO PROCESSING AT THE SEMICONDUCTOR EDGE: EXPLOITING THE SYSTEM AND CIRCUIT MARGINS FOR POWER SAVINGS
Yanxiang Huang, Claude Desset, Andre Bourdoux, IMEC, Belgium; Wim Dehaene, Liesbet Van Der Perre, KU Leuven, Belgium
SPCOM-L2.1: DIGITAL PREDISTORTION FOR HYBRID PRECODING ARCHITECTURE IN MILLIMETER-WAVE MASSIVE MIMO SYSTEMS
Han Yan, Danijela Cabric, University of California, Los Angeles, United States
SPCOM-L2.2: HYBRID BEAMFORMING FOR LARGE-SCALE MIMO SYSTEMS USING UPLINK-DOWNLINK DUALITY
Ganapati Hegde, Yong Cheng, Marius Pesavento, Technical University Darmstadt, Germany
SPCOM-L2.3: GRADIENT-BASED SOLUTION FOR HYBRID PRECODING IN MIMO SYSTEMS
Negin Bakhshi Zanjani, Seyran Khademi, Geert Leus, Delft University of Technology, Netherlands
SPCOM-L2.4: ADC BIT ALLOCATION UNDER A POWER CONSTRAINT FOR MMWAVE MASSIVE MIMO COMMUNICATION RECEIVERS
Jinseok Choi, Brian L. Evans, The University of Texas at Austin, United States; Alan Gatherer, Huawei Technologies, United States
SPCOM-L2.5: COMPRESSED BEAM-SELECTION IN MILLIMETER WAVE SYSTEMS WITH OUT-OF-BAND PARTIAL SUPPORT INFORMATION
Anum Ali, Robert Heath, Jr., The University of Texas at Austin, United States
SPCOM-L2.6: A SIMPLE WAY TO APPROXIMATE AVERAGE ROBUST MULTIUSER MISO TRANSMIT OPTIMIZATION UNDER COVARIANCE-BASED CSIT
Mingjie Shao, Wing-kin Ma, The Chinese University of Hong Kong, China
SPCOM-L3.1: COMPRESSED CYCLOSTATIONARY DETECTION FOR COGNITIVE RADIO
Deborah Cohen, Yonina C. Eldar, Technion - Israel Institute of Technology, Israel
SPCOM-L3.2: MASSIVE DEVICE ACTIVITY DETECTION BY APPROXIMATE MESSAGE PASSING
Zhilin Chen, Wei Yu, University of Toronto, Canada
SPCOM-L3.3: DISTRIBUTED LARGEST EIGENVALUE DETECTION
Ahti Ainomäe, KTH Royal Institute of Technology, Sweden; Tõnu Trump, Tallinn University of Technology, Estonia; Mats Bengtsson, KTH Royal Institute of Technology, Sweden
SPCOM-L3.4: THE POWER-OJA METHOD FOR DECENTRALIZED SUBSPACE ESTIMATION/TRACKING
Sissi Xiaoxiao Wu, Hoi-To Wai, Anna Scaglione, Arizona State University, United States; Neil A. Jacklin, Northrop Grumman System Corp, United States
SPCOM-L3.5: STRUCTURED ESTIMATION OF TIME-VARYING NARROWBAND WIRELESS COMMUNICATION CHANNELS
Sajjad Beygi, Urbashi Mitra, University of Southern California, United States
SPCOM-L3.6: EIGENVALUE DECOMPOSITION BASED ESTIMATORS OF CARRIER FREQUENCY OFFSET IN MULTICARRIER UNDERWATER ACOUSTIC COMMUNICATION
Gilad Avrashi, Alon Amar, Israel Cohen, Technion - Israel Institute of Technology, Israel; Milica Stojanovic, Northeastern University, United States
SPCOM-P1.1: ASYMPTOTIC ANALYSIS OF MULTICELL MASSIVE MIMO OVER RICIAN FADING CHANNELS
Luca Sanguinetti, University of Pisa, Italy; Abla Kammoun, King Abdullah University of Science and Technology, Saudi Arabia; Merouane Debbah, CentraleSupélec, France
SPCOM-P1.2: DISTRIBUTED SUM RATE MAXIMIZATION ALGORITHMS FOR NONREGENERATIVE MIMO RELAY NETWORKS
Cong Sun, Beijing University of Posts and Telecommunications, China; Eduard Jorswieck, Technische Universität Dresden, Germany
SPCOM-P1.3: PILOT PRECODING AND COMBINING IN MULTIUSER MIMO NETWORKS
Nima Najari Moghadam, Hossein Shokri-Ghadikolaei, KTH Royal Institute of Technology, Sweden; Gabor Fodor, KTH Royal Institute of Technology, Ericsson Research, Sweden; Mats Bengtsson, Carlo Fischione, KTH Royal Institute of Technology, Sweden
SPCOM-P1.4: SIGNALLING-OPTIMAL BEAMFORMER FOR MULTIUSER MISO BROADCAST VISIBLE LIGHT COMMUNICATIONS
Yan-Yu Zhang, Hong-Yi Yu, National Digital Switching System Engineering and Technological Research Center, China; Jian-Kang Zhang, McMaster University, Canada
SPCOM-P1.5: PERFORMANCE ANALYSIS OF (TDD) MASSIVE MIMO WITH KALMAN CHANNEL PREDICTION
Salil Kashyap, Christopher Mollén, Emil Björnson, Erik G. Larsson, Linköping University, Sweden
SPCOM-P1.6: ROBUST MIMO OFDM TRANSMIT BEAMFORMER DESIGN FOR LARGE DOPPLER SCENARIOS UNDER PARTIAL CSIT
Kalyana Gopala, Dirk Slock, Eurecom, France
SPCOM-P1.7: EXPLOITING MUTUAL COUPLING BY MEANS OF ANALOG-DIGITAL ZERO FORCING
Ang Li, Christos Masouros, University College London, United Kingdom
SPCOM-P1.8: OPTIMAL TRANSMIT STRATEGY FOR MIMO CHANNELS WITH JOINT SUM AND PER-ANTENNA POWER CONSTRAINTS
Phuong Cao, Tobias Oechtering, KTH Royal Institute of Technology, Sweden
SPCOM-P2.1: BAYESIAN MULTI-ANTENNA SENSING IN COGNITIVE RADIO NETWORKS USING FRACTIONAL BAYES FACTOR
Mohannad Al-Ali, Dominic K.C. Ho, University of Missouri, United States
SPCOM-P2.2: OPTIMAL ACHIEVABLE RATE TRADE-OFF IN COOPERATIVE COGNITIVE RADIO SYSTEMS
Ruochen Zeng, Cihan Tepedelenlioglu, Arizona State University, United States
SPCOM-P2.3: CORRELATION-BASED DETECTION OF TCM SIGNALS FOR COGNITIVE RADIOS
Reza Soosahabi, Infolink USA Inc, United States; Mort Naraghi-Pour, Louisiana State University, United States; Nasim Nasirian, Magdy A. Bayoumi, The University of Louisiana at Lafayette, United States
SPCOM-P2.4: ON COGNITIVE RADIO SYSTEMS WITH DIRECTIONAL ANTENNAS AND IMPERFECT SPECTRUM SENSING
Hassan Yazdani, Azadeh Vosoughi, University of Central Florida, United States
SPCOM-P2.5: MULTIPLE SUBSPACE MATCHING PURSUIT FOR SPECTRUM SENSING
Wonjun Kim, Jinhong Kim, Seoul National University, Republic of Korea; Daeyoung Park, Inha University, Republic of Korea; Byonghyo Shim, Seoul National University, Republic of Korea
SPCOM-P2.6: NON-PARAMETRIC SPECTRUM CARTOGRAPHY USING ADAPTIVE RADIAL BASIS FUNCTIONS
Mohamed Hamid, Baltasar Beferull-Lozano, University of Agder, Norway, Norway
SPCOM-P2.7: ESTIMATE THE PRIMARY-LINK SNR USING FULL-DUPLEX RELAY FOR UNDERLAY SPECTRUM SHARING
Guodong Zhao, Bijia Huang, Liying Li, Zhi Chen, University of Electronic Science and Technology of China, China
SPCOM-P2.8: COMPRESSIVE SENSING BASED SPECTRUM SHARING AND COEXISTENCE FOR MACHINE-TO-MACHINE COMMUNICATIONS
Xiaohua Li, Jian Zheng, State University of New York at Binghamton, United States; Mingjian Zhang, Hunan Police Academy, China
SPCOM-P2.9: SPATIAL FOCUSING INSPIRED 5G SPECTRUM SHARING
Chunxiao Jiang, Tsinghua University, China; Beibei Wang, Yi Han, Zhung-Han Wu, K. J. Ray Liu, University of Maryland, United States
SPCOM-P3.1: ENERGY-EFFICIENT DESIGN FOR NON-REGENERATIVE MIMO RELAY NETWORKS
Cong Sun, Beijing University of Posts and Telecommunications, China; Alessio Zappone, University of Casino and Southern Lazio, Italy; Eduard Jorswieck, Technische Universität Dresden, Germany
SPCOM-P3.2: JAMMING RESISTANT RECEIVERS FOR MASSIVE MIMO
Tan Tai Do, Emil Björnson, Erik G. Larsson, Linköping University, Sweden
SPCOM-P3.3: DOUBLE RELAY COMMUNICATION PROTOCOL WITH POWER CONTROL FOR ACHIEVING FAIRNESS IN CELLULAR SYSTEMS
Rodolfo Torrea-Duran, Fernando Rosas, Katholieke Universiteit Leuven, Belgium; Paschalis Tsiaflakis, Bell Labs, Nokia, Belgium; Sofie Pollin, Katholieke Universiteit Leuven, Belgium; Aldo Orozco, Instituto Politecnico Nacional, Mexico; Luc Vandendorpe, Université catholique de Louvain, Belgium; Marc Moonen, Katholieke Universiteit Leuven, Belgium
SPCOM-P3.4: UPLINK AND DOWNLINK USER PAIRING IN FULL-DUPLEX MULTI-USER SYSTEMS: COMPLEXITY AND ALGORITHMS
Xiaozhou Zhang, Beijing Jiaotong University, China; Tsung-Hui Chang, The Chinese University of Hong Kong (Shenzhen), Shenzhen Research Institue of Big Date, China; Ya-Feng Liu, Chinese Academy of Sciences, China; Chao Shen, Gang Zhu, Beijing Jiaotong University, China
SPCOM-P3.5: A DISTRIBUTED ROBUST TRANSMIT BEAMFORMING DESIGN FOR FULL-DUPLEX RELAY-AIDED WIRELESS COMMUNICATION SYSTEMS
Guixian Xu, Beijing University of Posts and Telecommunications, China; Yaorong Syu, National Tsing Hua University, Taiwan; Weiguo Ma, China Academy of Telecommunications Technology (CATT), China; Chongyung Chi, National Tsing Hua University, Taiwan
SPCOM-P3.6: JOINT TRANSMIT BEAMFORMING OPTIMIZATION AND UPLINK/DOWNLINK USER SELECTION IN A FULL-DUPLEX MULTI-USER MIMO SYSTEM
Man-Wai Un, Wing-Kin Ma, Pak-Chung Ching, The Chinese University of Hong Kong, Hong Kong SAR of China
SPCOM-P3.7: BIOBJECTIVE TRANSMITTER OPTIMIZATION FOR SERVICE INTEGRATION IN MIMO GAUSSIAN BROADCAST CHANNEL
Weidong Mei, Weiqing Kong, Zhi Chen, Jun Fang, University of Electronic Science and Technology of China, China
SPCOM-P3.8: GLOBALLY OPTIMAL BEAMFORMING DESIGN FOR DOWNLINK COMP TRANSMISSION WITH LIMITED BACKHAUL CAPACITY
Kien-Giang Nguyen, Quang-Doanh Vu, Markku Juntti, University of Oulu, Finland; Le-Nam Tran, Maynooth University, Ireland
SPCOM-P3.9: JOINT ALPHA-FAIRNESS BASED DSM AND USER ENCODING ORDERING FOR ZERO-FORCING NONLINEAR PRECODING IN G.FAST DOWNSTREAM TRANSMISSION
Wouter Lanneer, KU Leuven, Belgium; Paschalis Tsiaflakis, Jochen Maes, Nokia, Belgium; Marc Moonen, KU Leuven, Belgium
SPCOM-P3.10: A LOW-COMPLEXITY ALGORITHM FOR UTILITY BASED SPECTRUM COORDINATION IN DSL SYSTEMS
Jeroen Verdyck, KU Leuven, Belgium; Chris Blondia, University of Antwerp - iMinds, Belgium; Marc Moonen, KU Leuven, Belgium
SPCOM-P4.1: COMBINING BELIEF PROPAGATION AND SUCCESSIVE CANCELLATION LIST DECODING OF POLAR CODES ON A GPU PLATFORM
Sebastian Cammerer, Benedikt Leible, Matthias Stahl, University of Stuttgart, Germany; Jakob Hoydis, Nokia Bell Labs, Germany; Stephan ten Brink, University of Stuttgart, Germany
SPCOM-P4.2: AN FPGA PROTOTYPE OF DUAL LINK ALGORITHM FOR MIMO INTERFERENCE NETWORK
Mingda Zhou, Xinming Huang, Yuteng Zhou, WPI, United States; Xing Li, Youjian Liu, University of Colorado Boulder, United States
SPCOM-P4.3: NON-PARAMETRIC ANALOG JOINT SOURCE CHANNEL CODING FOR AMPLIFY-AND-FORWARD TWO-HOP NETWORKS
Eduardo Hodgson, Glauber Brante, Richard Souza, UTFPR, Brazil; Javier Garcia-Frias, University of Delaware, United States
SPCOM-P4.4: LDPC CODE DESIGN FOR GAUSSIAN MULTIPLE-ACCESS CHANNELS USING DYNAMIC EXIT CHART ANALYSIS
Naijun Zheng, Yuxuan He, Baoming Bai, Xidian University, China; Anthony Man-Cho So, The Chinese University of Hong Kong, China; Kehu Yang, Xidian University, China
SPCOM-P4.5: DETERMINISTIC ANNEALING BASED DESIGN OF ERROR RESILIENT PREDICTIVE COMPRESSION SYSTEMS
Bharath Vishwanath, Tejaswi Nanjundaswamy, Sina Zamani, Kenneth Rose, University of California, Santa Barbara, United States
SPCOM-P4.6: LEARNING DICTIONARY FOR EFFICIENT SIGNAL COMPRESSION
Afshin Abdi, Ali Payani, Faramarz Fekri, Georgia Institute of Technology, United States
SPCOM-P4.7: EXPERIMENTAL DEMONSTRATION OF NULLFORMING FROM A FULLY WIRELESS DISTRIBUTED ARRAY
Benjamin Peiffer, Raghuraman Mudumbai, Sairam Goguri, Soura Dasgupta, Anton Kruger, University of Iowa, United States
SPCOM-P4.8: ADMM FOR HARMONIC RETRIEVAL FROM ONE-BIT SAMPLING WITH TIME-VARYING THRESHOLDS
Cheng Qian, Harbin Institute of Technology, China; Jian Li, University of Florida, United States
SPCOM-P4.9: MODELING INTEREST-BASED SOCIAL NETWORKS: SUPERIMPOSING ERDOS-RENYI GRAPHS OVER RANDOM INTERSECTION GRAPHS
Jun Zhao, Carnegie Mellon University, Arizona State University, and Princeton University, United States
SPCOM-P4.10: ORTHOGONAL PRECODING FOR SIDELOBE SUPPRESSION IN DFT-BASED SYSTEMS USING BLOCK REFLECTORS
Vaughan Clarkson, Independent Consultant, Australia
SPCOM-P5.1: LOCATION-AWARE NETWORK OPERATION FOR CLOUD RADIO ACCESS NETWORK
Fanggang Wang, Beijing Jiaotong University, China; Liangzhong Ruan, Moe Z. Win, Massachusetts Institute of Technology, United States
SPCOM-P5.2: TRAFFIC ENGINEERING FOR BACKHAUL NETWORKS WITH WIRELESS LINK SCHEDULING
Nan Zhang, Peking University, China; Wei-Cheng Liao, University of Minnesota, United States; Mingyi Hong, Iowa State University, United States; Hamid Farmanbar, Huawei Canada Research Center, Canada; Zhi-Quan Luo, The Chinese University of Hong Kong, Shenzhen, China
SPCOM-P5.3: STOCHASTIC BACKPRESSURE IN ENERGY HARVESTING NETWORKS
Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro, Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain; Alejandro Ribeiro, University of Pennsylvania, United States
SPCOM-P5.4: PEAK LOAD MINIMIZATION IN LOAD COUPLED INTERFERENCE NETWORKS
Renato L. G. Cavalcante, Slawomir Stanczak, Heinrich Hertz Institute/Technical University of Berlin, Germany
SPCOM-P5.5: MEETING DIFFERENT QOS REQUIREMENTS OF VEHICULAR NETWORKS: A D2D-BASED APPROACH
Le Liang, Geoffrey Ye Li, Georgia Institute of Technology, United States; Wei Xu, Southeast University, China
SPCOM-P5.6: ENHANCING QOS IN SPATIALLY CONTROLLED BEAMFORMING NETWORKS VIA DISTRIBUTED STOCHASTIC PROGRAMMING
Dionysios Kalogerias, Athina Petropulu, Rutgers, The State University of New Jersey, United States
SPCOM-P5.7: INDUCED BIAS IN ATTENUATION MEASUREMENTS TAKEN FROM COMMERCIAL MICROWAVE LINKS
Jonatan Ostrometzky, Adam Eshel, Pinhas Alpert, Hagit Messer, Tel Aviv University, Israel
SPCOM-P5.8: DOF ANALYSIS IN A TWO-LAYERED HETEROGENEOUS WIRELESS INTERFERENCE NETWORK
Meghana Bande, Venugopal V. Veeravalli, University of Illinois at Urbana-Champaign, United States; Antti Tolli, Markku Juntti, University of Oulu, Finland
SPCOM-P5.9: INTERFERENCE ALIGNMENT ON MIMO X CHANNEL WITH SYNERGISTIC CSIT
Tong Zhang, Pak-Chung Ching, The Chinese University of Hong Kong, China
SPCOM-P5.10: INFORMATION DIFFUSION IN INTERCONNECTED HETEROGENEOUS NETWORKS
Shahin Mahdizadehaghdam, Han Wang, Hamid Krim, North Carolina State University, United States; Liyi Dai, Army Research Office, United States
SPCOM-P6.1: SPARSE WAVEFORM DESIGN FOR ALL-SPECTRUM CHANNELIZATION
George Sklivanitis, State University of New York at Buffalo, United States; Panos Markopoulos, Rochester Institute of Technology, United States; Stella Batalama, Dimitris Pados, State University of New York at Buffalo, United States
SPCOM-P6.2: SIMULTANEOUS WIRELESS INFORMATION AND POWER TRANSFER OVER INDUCTIVELY COUPLED CIRCUITS
Tomohiro Arakawa, Andrew Marcum, James Krogmeier, David Love, Purdue University, United States
SPCOM-P6.3: STOCHASTIC ONLINE CONTROL FOR ENERGY-HARVESTING WIRELESS NETWORKS WITH BATTERY IMPERFECTIONS
Tianhui Ma, Rongsheng Zhang, Xin Wang, Xiaolin Zhou, Fudan University, China
SPCOM-P6.4: TRANSCEIVER DESIGN TO MAXIMIZE THE WEIGHTED SUM SECRECY RATE IN FULL-DUPLEX SWIPT SYSTEMS
Ying Wang, Ruijin Sun, Xinshui Wang, Beijing University of Posts and Telecommunications, China
SPCOM-P6.5: SYMBOL DETECTION FOR FASTER-THAN-NYQUIST SIGNALING BY SUM-OF-ABSOLUTE-VALUES OPTIMIZATION
Hampei Sasahara, Tokyo Institute of Technology, Japan; Kazunori Hayashi, Kyoto University, Japan; Masaaki Nagahara, The University of Kitakyushu, Japan
SPCOM-P6.6: FASTER-THAN-NYQUIST SPATIOTEMPORAL SYMBOL-LEVEL PRECODING IN THE DOWNLINK OF MULTIUSER MISO CHANNELS
Maha Alodeh, Danilo Spano, Symeon Chatzinotas, Björn Ottersten, SnT-University of Luxembourg, Luxembourg
SPCOM-P6.7: SINGLE-TAP EQUALIZER FOR MIMO FBMC SYSTEMS UNDER DOUBLY SELECTIVE CHANNELS
François Rottenberg, Université catholique de Louvain, Belgium; Xavier Mestre, Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain; François Horlin, Université libre de Bruxelles, Belgium; Jérôme Louveaux, Université catholique de Louvain, Belgium
SPCOM-P6.8: JOINT CHANNEL AND CARRIER FREQUENCY ESTIMATION FOR M-ARY CPM OVER FREQUENCY-SELECTIVE CHANNEL USING PAM DECOMPOSITION
Romain Chayot, TéSA, France; Marie-Laure Boucheret, Charly Poulliat, Nathalie Thomas, University of Toulouse, France; Nicolas Van Wambeke, Thales Alenia Space, France; Guy Lesthievent, Centre National d'Etudes Spatiales, France
SPCOM-P6.9: MULTISYMBOL WITH MEMORY NONCOHERENT DETECTION OF CPFSK
Charles-Ugo Piat-Durozoi, TéSA, France; Charly Poulliat, Marie-Laure Boucheret, Nathalie Thomas, University of Toulouse, France; Emmanuel Bouisson, Guy Lesthievent, CNES, France
SPCOM-P6.10: PROBABILISTIC ANALYSIS OF TONE RESERVATION METHOD FOR THE PAPR REDUCTION OF OFDM SYSTEMS
Ezra Tampubolon, Holger Boche, Technische Universität München, Germany
SPTM-L1.1: FRI SAMPLING AND TIME-VARYING PULSES: SOME THEORY AND FOUR SHORT STORIES
Ayush Bhandari, Massachusetts Institute of Technology, United States; Thierry Blu, The Chinese University of Hong Kong, Hong Kong SAR of China
SPTM-L1.2: SHAPE FROM BANDWIDTH: THE 2-D ORTHOGONAL PROJECTION CASE
Adam James Scholefield, Benjamin Béjar Haro, Martin Vetterli, École Polytechnique Fédérale de Lausanne, Switzerland
SPTM-L1.3: PHASELESS SUPER-RESOLUTION IN THE CONTINUOUS DOMAIN
Myung Cho, University of Iowa, United States; Christos Thrampoulidis, California Institute of Technology, United States; Weiyu Xu, University of Iowa, United States; Babak Hassibi, California Institute of Technology, United States
SPTM-L1.4: PROSPARSE EXTENSION: PRONY’S BASED SPARSE PATTERN RECOVERY WITH EXTENDED DICTIONARIES
Jun-Jie Huang, Pier Luigi Dragotti, Imperial College London, United Kingdom
SPTM-L1.5: MINIMUM NUMBER OF POSSIBLY NON-CONTIGUOUS SAMPLES TO DISTINGUISH TWO PERIODS
Srikanth V. Tenneti, Vaidyanathan P. P., California Institute of Technology, United States
SPTM-L1.6: SAMPLING WITHOUT TIME: RECOVERING ECHOES OF LIGHT VIA TEMPORAL PHASE RETRIEVAL
Ayush Bhandari, Aurelien Bourquard, Ramesh Raskar, Massachusetts Institute of Technology, United States
SPTM-L2.1: AN ENGINEER'S GUIDE TO PARTICLE FILTERING ON THE STIEFEL MANIFOLD
Goran Marjanovic, Victor Solo, University of New South Wales, Australia
SPTM-L2.2: BAYESIAN-DRIVEN CRITERION TO AUTOMATICALLY SELECT THE REGULARIZATION PARAMETER IN THE L1-POTTS MODEL
Jordan Frecon, Nelly Pustelnik, Université de Lyon, France; Nicolas Dobigeon, Herwig Wendt, Université de Toulouse, France; Patrice Abry, Université de Lyon, France
SPTM-L2.3: SEQUENTIAL MCMC WITH INVERTIBLE PARTICLE FLOW
Yunpeng Li, Mark J. Coates, McGill University, Canada
SPTM-L2.4: MULTIPLE PARTICLE FILTERING FOR INFERENCE IN THE PRESENCE OF STATE CORRELATION OF UNKNOWN MIXING PARAMETERS
Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric, Stony Brook University, United States
SPTM-L2.5: NONPARAMETRIC LEARNING FOR HIDDEN MARKOV MODELS WITH PREFERENTIAL ATTACHMENT DYNAMICS
Asher Hensley, Petar M. Djuric, Stony Brook University, United States
SPTM-L2.6: HERETICAL MULTIPLE IMPORTANCE SAMPLING
Victor Elvira, Telecom Lille (Institut Lille-Telecom), France; Luca Martino, Universidad de Valencia, Spain; David Luengo, Universidad Politecnica de Madrid, Spain; Mónica F. Bugallo, Stony Brook University, Spain
SPTM-L3.1: EFFICIENT ADAPTIVE FILTERING IN COMPRESSIVE DOMAINS FOR SPARSE SYSTEMS AND RELATION TO TRANSFORM-DOMAIN ADAPTIVE FILTERING
Herbert Buchner, Cambridge University, United Kingdom; Karim Helwani, Huawei European Research Center, Germany; Bashar I. Ahmad, Simon J. Godsill, Cambridge University, United Kingdom
SPTM-L3.2: DISTRIBUTED DECISION-MAKING OVER MOBILE ADAPTIVE NETWORKS
Sahar Khawatmi, Xinxin Huang, Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SPTM-L3.3: MINIMUM MEAN SQUARE DEVIATION IN ZA-NLMS ALGORITHM
Abdullah Al-Shabili, Shihab Jimaa, Khalifa University, United Arab Emirates; Luis Weruaga, proactivaudio, Austria
SPTM-L3.4: LEARNING BY NETWORKED AGENTS UNDER PARTIAL INFORMATION
Chung-Kai Yu, Ali H. Sayed, University of California, Los Angeles, United States
SPTM-L3.5: RECURSIVE LEAST-SQUARES ALGORITHMS FOR SPARSE SYSTEM MODELING
Hamed Yazdanpanah, Paulo Sergio Ramirez Diniz, Federal University of Rio de Janeiro, Brazil
SPTM-L3.6: FULLY ADAPTIVE MODE DECOMPOSITION FROM TIME-FREQUENCY RIDGES
Sylvain Meignen, LJK laboratory, France; Thomas Oberlin, IRIT laboratory, France; Steve Mclaughlin, Heriot-Watt University, United Kingdom
SPTM-L4.1: CRITICAL SAMPLING FOR WAVELET FILTERBANKS ON ARBITRARY GRAPHS
Aamir Anis, Antonio Ortega, University of Southern California, United States
SPTM-L4.2: GRAPH FOURIER TRANSFORM FOR DIRECTED GRAPHS BASED ON LOVÁSZ EXTENSION OF MIN-CUT
Stefania Sardellitti, Sergio Barbarossa, Sapienza University of Rome, Italy; Paolo Di Lorenzo, University of Perugia, Italy
SPTM-L4.3: UNIVERSAL BOUNDS FOR THE SAMPLING OF GRAPH SIGNALS
Luiz Chamon, Alejandro Ribeiro, University of Pennsylvania, United States
SPTM-L4.4: SPARSE EIGENVECTORS OF GRAPHS
Oguzhan Teke, Palghat P. Vaidyanathan, California Institute of Technology, United States
SPTM-L4.5: AN M-CHANNEL CRITICALLY SAMPLED FILTER BANK FOR GRAPH SIGNALS
Yan Jin, David Shuman, Macalester College, United States
SPTM-L4.6: TOWARDS STATIONARY TIME-VERTEX SIGNAL PROCESSING
Nathanaël Perraudin, Andreas Loukas, École Polytechnique Fédérale de Lausanne, Switzerland; Francesco Grassi, Politecnico di Torino, Italy; Pierre Vandergheynst, École Polytechnique Fédérale de Lausanne, Switzerland
SPTM-L5.1: CHANGE DETECTION WITH UNKNOWN POST-CHANGE PARAMETER USING KIEFER-WOLFOWITZ METHOD
Vijay Singamasetty, Navneeth Nair, Srikrishna Bhashyam, Arun Pachai Kannu, Indian Institute of Technology Madras, India
SPTM-L5.2: QUICKEST CHANGE DETECTION WITH UNKNOWN POST-CHANGE DISTRIBUTION
Tze Siong Lau, Wee Peng Tay, Nanyang Technological University, Singapore; Venugopal V. Veeravalli, University of Illinois at Urbana-Champaign, United States
SPTM-L5.3: A DATA CENTRIC APPROACH TO UTILITY CHANGE DETECTION IN ONLINE SOCIAL MEDIA.
Anup Aprem, Vikram Krishnamurthy, University of British Columbia, Canada
SPTM-L5.4: A UNIFIED DIVERSITY MEASURE FOR DISTRIBUTED INFERENCE
Prashant Khanduri, Syracuse University, United States; Aditya Vempaty, IBM T.J. Watson Research Center, United States; Pramod K. Varshney, Syracuse University, United States
SPTM-L5.5: MULTISENSOR DETECTION OF IMPROPER SIGNALS IN IMPROPER NOISE
Jitendra Tugnait, Auburn University, United States
SPTM-L5.6: A BLIND TRANSFORM BASED APPROACH FOR THE DETECTION OF ISOLATED ASTROPHYSICAL PULSES
Marwan Alkhweldi, Natalia Schmid, West Virginia University, United States; Richard Prestage, National Radio Astronomy Observatory, United States
SPTM-L6.1: MULTIPLE ILLUMINATION PHASELESS SUPER-RESOLUTION (MIPS) WITH APPLICATIONS TO PHASELESS DOA ESTIMATION AND DIFFRACTION IMAGING
Fariborz Salehi, Kishore Jaganathan, Babak Hassibi, California Institute of Technology, United States
SPTM-L6.2: A GENERALIZATION OF THE SPARSE ITERATIVE COVARIANCE-BASED ESTIMATOR
Johan Swärd, Stefan Ingi Adalbjörnsson, Andreas Jakobsson, Lund University, Sweden
SPTM-L6.3: DISTANCE-PRESERVING PROPERTY OF RANDOM PROJECTION FOR SUBSPACES
Gen Li, Yuantao Gu, Tsinghua University, China
SPTM-L6.4: SPARSE BAYESIAN LEARNING WITH UNCERTAIN SENSING MATRIX
Santosh Nannuru, Peter Gerstoft, Kay Gemba, University of California, San Diego, United States
SPTM-L6.5: AN EFFICIENT ONLINE ADAPTIVE SAMPLING STRATEGY FOR MATRIX COMPLETION
Lucas Claude, Symeon Chouvardas, Moez Draief, Huawei Technologies France, France
SPTM-L6.6: SPARTA: SPARSE PHASE RETRIEVAL VIA TRUNCATED AMPLITUDE FLOW
Gang Wang, Georgios B. Giannakis, University of Minnesota – Twin Cities, United States; Jie Chen, Beijing Institute of Technology, China; Mehmet Akcakaya, University of Minnesota – Twin Cities, United States
SPTM-L7.1: ON SPECTROGRAM LOCAL MAXIMA
Patrick Flandrin, CNRS & ENS de Lyon, France
SPTM-L7.2: MULTIVARIATE SCALE-FREE DYNAMICS: TESTING FRACTAL CONNECTIVITY
Sébastien Combrexelle, IRIT, INP-ENSEEIHT, Université de Toulouse, France, France; Herwig Wendt, IRIT, CNRS (UMR 5505), Université de Toulouse, France, France; Gustavo Didier, Mathematics Department, Tulane University, New Orleans, LA, USA., United States; Patrice Abry, Physics Department, Ecole Normale Supérieure de Lyon, Université de Lyon, France., France
SPTM-L7.3: POLARIZATION SPECTROGRAM OF BIVARIATE SIGNALS
Julien Flamant, Pierre Chainais, Univ. Lille, CNRS, Centrale Lille, UMR 9189 - CRIStAL, France; Nicolas Le Bihan, CNRS / Gipsa-Lab UMR 5216, France
SPTM-L7.4: THE SECOND-ORDER WAVELET SYNCHROSQUEEZING TRANSFORM
Thomas Oberlin, INP-ENSEEIHT and IRIT, University of Toulouse, France, France; Sylvain Meignen, Laboratoire Jean Kuntzmann, University of Grenoble, France
SPTM-L7.5: ADAPTIVE DCTNET FOR AUDIO SIGNAL CLASSIFICATION
Yin Xian, Yunchen Pu, Zhe Gan, Duke University, United States; Liang Lu, Toyota Technological Institute at Chicago, United States; Andrew Thompson, University of Oxford, United Kingdom
SPTM-L7.6: NEW ANALYSIS OF RADAR MICRO-DOPPLER GAIT SIGNATURES FOR REHABILITATION AND ASSISTED LIVING
Ann-Kathrin Seifert, Technische Universität Darmstadt, Germany; Moeness G. Amin, Villanova University, United States; Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SPTM-L8.1: ROBUST MMSE FILTERING FOR SINGLE-MICROPHONE SPEECH ENHANCEMENT
Gerald Enzner, Philipp Thuene, Ruhr-Universität Bochum, Germany
SPTM-L8.2: ROBUST CLUSTERING OF DATA COLLECTED VIA CROWDSOURCING
Alba Pagès-Zamora, Universitat Politècnica de Catalunya, Spain; Georgios B. Giannakis, University of Minnesota, United States; Roberto Lopez-Valcarce, Universidade de Vigo, Spain; Pere Giménez-Febrer, Universitat Politècnica de Catalunya, Spain
SPTM-L8.3: ROBUST ONLINE MATRIX COMPLETION ON GRAPHS
Symeon Chouvardas, Mohammed Amin Abdullah, Lucas Claude, Moez Draief, Huawei Technologies Mathematical and Algorithmic Sciences Lab, France
SPTM-L8.4: ROBUST RECONSTRUCTION OF SPHERICAL SIGNALS WITH FINITE RATE OF INNOVATION
Yahya Sattar, Zubair Khalid, Lahore University of Management Sciences, Pakistan; Rodney Kennedy, Australian National University, Australia
SPTM-L8.5: MULTIVARIATE LINEAR TIME-FREQUENCY MODELING AND ADAPTIVE ROBUST TARGET DETECTION IN HIGHLY TEXTURED MONOVARIATE SAR IMAGE
Jean-Philippe Ovarlez, ONERA & CentraleSupelec SONDRA, France; Guillaume Ginolhac, Abdourrahmane M. Atto, Université Savoie Mont-Blanc, France
SPTM-L8.6: ROBUST PARTICLE FILTER BY DYNAMIC AVERAGING OF MULTIPLE NOISE MODELS
Bin Liu, Nanjing University of Posts and Telecommunications, China
SPTM-L9.1: AN INCREMENTAL QUASI-NEWTON METHOD WITH A LOCAL SUPERLINEAR CONVERGENCE RATE
Aryan Mokhtari, Mark Eisen, Alejandro Ribeiro, University of Pennsylvania, United States
SPTM-L9.2: DISTRIBUTED NONCONVEX OPTIMIZATION FOR SPARSE REPRESENTATION
Ying Sun, Gesualdo Scutari, Purdue University, United States
SPTM-L9.3: GLOBAL BEHAVIOR OF PARALLEL PROJECTION METHOD FOR CERTAIN NONCONVEX FEASIBILITY PROBLEMS
Masao Yamagishi, Isao Yamada, Tokyo Institute of Technology, Japan
SPTM-L9.4: SDR APPROXIMATION BOUNDS FOR THE ROBUST MULTICAST BEAMFORMING PROBLEM WITH INTERFERENCE TEMPERATURE CONSTRAINTS
Xiaoxiao Wu, Arizona State University, United States; Man-Chung Yue, Anthony Man-Cho So, Wing-Kin Ma, The Chinese University of Hong Kong, Hong Kong SAR of China
SPTM-L9.5: PENALTY DUAL DECOMPOSITION METHOD WITH APPLICATION IN SIGNAL PROCESSING
Qingjiang Shi, Mingyi Hong, Iowa State University, United States
SPTM-L9.6: FAST FEASIBILITY PURSUIT FOR NON-CONVEX QCQPS VIA FIRST-ORDER METHODS
Aritra Konar, Nicholas Sidiropoulos, University of Minnesota - Twin Cities, United States
SPTM-L10.1: DISTRIBUTED PROBABILISTIC BISECTION SEARCH USING SOCIAL LEARNING
Athanasios Tsiligkaridis, Boston University, United States; Theodoros Tsiligkaridis, MIT Lincoln Laboratory, United States
SPTM-L10.2: CONVERGENCE ANALYSIS OF THE INFORMATION MATRIX IN GAUSSIAN BELIEF PROPAGATION
Jian Du, Carnegie Mellon University, United States; Shaodan Ma, University of Macau, Macao SAR of China; Yik-Chung Wu, The University of Hong Kong, Hong Kong SAR of China; Soummya Kar, José M. F. Moura, Carnegie Mellon University, United States
SPTM-L10.3: DISTRIBUTED OPTIMIZATION FOR EVOLVING NETWORKS OF GROWING CONNECTIVITY
Sijia Liu, Pin-Yu Chen, Alfred O. Hero, University of Michigan, United States
SPTM-L10.4: D2L: DECENTRALIZED DICTIONARY LEARNING OVER DYNAMIC NETWORKS
Amir Daneshmand, Ying Sun, Gesualdo Scutari, Purdue University, United States; Francisco Facchinei, University of Rome, La Sapienza, Italy
SPTM-L10.5: BAYESIAN LEARNING IN A NETWORK WITH MULTI-HYPOTHESIS DECISION EXCHANGES
Lingqing Gan, Stony Brook University, United States; Yunlong Wang, IMS Health Inc., United States; Petar M. Djuric, Stony Brook University, United States
SPTM-L10.6: A PARTICLE FILTER FOR SEQUENTIAL INFECTION SOURCE ESTIMATION
Wenchang Tang, Wee Peng Tay, Nanyang Technological University, Singapore
SPTM-P1.1: STATIONARY GRAPH PROCESSES: PARAMETRIC POWER SPECTRAL ESTIMATION
Santiago Segarra, Massachusetts Institute of Technology, United States; Antonio G. Marques, King Juan Carlos University, Spain; Geert Leus, Delft University of Technology, Netherlands; Alejandro Ribeiro, University of Pennsylvania, United States
SPTM-P1.2: GRAPH-SIGNAL RECONSTRUCTION AND BLIND DECONVOLUTION FOR DIFFUSED SPARSE INPUTS
David Ramírez, Universidad Carlos III de Madrid, Spain; Antonio G. Marques, King Juan Carlos University, Spain; Santiago Segarra, Massachusetts Institute of Technology, United States
SPTM-P1.3: FAST IMPLEMENTATION FOR SYMMETRIC NON-SEPARABLE TRANSFORMS BASED ON GRIDS
Keng-Shih Lu, Antonio Ortega, University of Southern California, United States
SPTM-P1.4: FAST PATH LOCALIZATION ON GRAPHS VIA MULTISCALE VITERBI DECODING
Yaoqing Yang, Siheng Chen, Carnegie Mellon University, United States; Mohammad Maddah-Ali, Nokia Bell Labs, United States; Pulkit Grover, Soummya Kar, Jelena Kovacevic, Carnegie Mellon University, United States
SPTM-P1.5: AUTOREGRESSIVE MOVING AVERAGE GRAPH FILTERS A STABLE DISTRIBUTED IMPLEMENTATION
Elvin Isufi, TU Delft, Netherlands; Andreas Loukas, École Polytechnique Fédérale de Lausanne, Swaziland; Geert Leus, TU Delft, Netherlands
SPTM-P1.6: WEAK LAW OF LARGE NUMBERS FOR STATIONARY GRAPH PROCESSES
Fernando Gama, Alejandro Ribeiro, University of Pennsylvania, United States
SPTM-P1.7: NODE EMBEDDING FOR NETWORK COMMUNITY DISCOVERY
Christy Lin, Prakash Ishwar, Boston University, United States; Weicong Ding, Technicolor Research, United States
SPTM-P1.8: SIMULTANEOUS LOW-RANK COMPONENT AND GRAPH ESTIMATION FOR HIGH-DIMENSIONAL GRAPH SIGNALS: APPLICATION TO BRAIN IMAGING
Rui Liu, Hossein Nejati, Seyed Hamid Safavi, Ngai-Man Cheung, Singapore University of Technology and Design, Singapore
SPTM-P1.9: TOWARDS A DEFINITION OF LOCAL STATIONARITY FOR GRAPH SIGNALS
Benjamin Girault, Shrikanth S. Narayanan, Antonio Ortega, University of Southern California, United States
SPTM-P1.10: A "POLYPHASE" STRUCTURE OF TWO-CHANNEL SPECTRAL GRAPH WAVELETS AND FILTER BANKS
Yuichi Tanaka, Akie Sakiyama, Tokyo University of Agriculture and Technology, Japan
SPTM-P2.1: THE PENALTY TERM OF EXPONENTIALLY EMBEDDED FAMILY IS ESTIMATED MUTUAL INFORMATION
Zhenghan Zhu, Steven Kay, University of Rhode Island, United States
SPTM-P2.2: A NEW GENERALIZATION OF THE DISCRETE TEAGER-KAISER ENERGY OPERATOR - APPLICATION TO BIOMEDICAL SIGNALS
Meryem Jabloun, Orleans University, France
SPTM-P2.3: A MAXIMUM LIKELIHOOD "IDENTIFICATION-CORRECTION" SCHEME OF SUB-OPTIMAL "SEDJOCO" SOLUTIONS FOR SEMI-BLIND SOURCE SEPARATION
Amir Weiss, Arie Yeredor, Tel Aviv University, Israel; Sher Ali Cheema, Martin Haardt, Ilmenau University of Technology, Germany
SPTM-P2.4: A MODEL-FREE CAUSALITY MEASURE BASED ON MULTI-VARIATE DELAY EMBEDDING
Saba Emrani, Hamid Krim, North Carolina State University, United States
SPTM-P2.5: EXPECTED LIKELIHOOD SPHERICITY TEST DISTRIBUTION FOR COMPLEX ANGULAR CENTRAL GAUSSIAN DATA
Yuri Abramovich, WR Systems Ltd., United States; Ben Johnson, Institute for Telecommunications Research, Australia; Geoffrey San Antonio, Naval Research Laboratory, United States
SPTM-P2.6: NUMERICAL FILTERING OF LINEAR STATE-SPACE MODELS WITH MARKOV SWITCHING
Michael Pauley, Christopher McLean, Jonathan Manton, University of Melbourne, Australia
SPTM-P2.7: AN ONLINE NIPALS ALGORITHM FOR PARTIAL LEAST SQUARES
Alexander Stott, Sithan Kanna, Danilo Mandic, William Pike, Imperial College London, United Kingdom
SPTM-P2.8: CONSTRAINED PERTURBATION REGULARIZATION APPROACH FOR SIGNAL ESTIMATION USING RANDOM MATRIX THEORY
Mohamed Suliman, Tarig Ballal, Abla Kammoun, Tareq Y. Al-Naffouri, King Abdullah University of Science and Technology, Saudi Arabia
SPTM-P2.9: SINGLE-CHANNEL WIENER FILTERING OF DETERMINISTIC SIGNALS IN STOCHASTIC NOISE USING THE PANORAMA
Scott Douglas, Southern Methodist University, United States; Danilo Mandic, Imperial College London, United Kingdom
SPTM-P2.10: UNDERDETERMINED SOURCE SEPARATION USING TIME-FREQUENCY MASKS AND AN ADAPTIVE COMBINED GAUSSIAN-STUDENT’S T PROBABILISTIC MODEL
Yang Sun, Waqas Rafique, Jonathon Chambers, Mohsen Naqvi, Newcastle University, United Kingdom
SPTM-P3.1: AN ACCURATE METHOD FOR FREQUENCY ESTIMATION OF A REAL SINUSOID
Slobodan Djukanovic, University of Montenegro, Montenegro
SPTM-P3.2: MULTI-PITCH ESTIMATION USING SEMIDEFINITE PROGRAMMING
Tobias Lindstrøm Jensen, Aalborg University, Denmark; Lieven Vandenberghe, University of California, Los Angeles, United States
SPTM-P3.3: ENHANCED SINGLE ANTENNA INTERFERENCE CANCELLATION FROM MMSE THIRD-ORDER COMPLEX VOLTERRA FILTERS
Mustapha Sadok, Institut National des Télécommunications et TIC, LaRATIC, Algeria; Jean Pierre Delmas, Telecom SudParis, France; Pascal Chevalier, CNAM Paris, France
SPTM-P3.4: WIRTINGER FLOW METHOD WITH OPTIMAL STEPSIZE FOR PHASE RETRIEVAL
Xue Jiang, Shanghai Jiao Tong University, China; Sreeraman Rajan, Carleton University, Canada; Xingzhao Liu, Shanghai Jiao Tong University, China
SPTM-P3.5: DEMIXING SPARSE SIGNALS VIA CONVEX OPTIMIZATION
Yi Zhou, Yingbin Liang, Syracuse University, United States
SPTM-P3.6: A DYNAMIC BAYESIAN NONPARAMETRIC MODEL FOR BLIND CALIBRATION OF SENSOR NETWORKS
Jielong Yang, Wee Peng Tay, Xionghu Zhong, Nanyang Technological University, Singapore
SPTM-P3.7: ESTIMATION IN AUTOREGRESSIVE PROCESSES WITH PARTIAL OBSERVATIONS
Milind Rao, Stanford University, United States; Tara Javidi, University of California, San Diego, United States; Yonina C. Eldar, Technion - Israel Institute of Technology, Israel; Andrea Goldsmith, Stanford University, United States
SPTM-P3.8: NOISE ENHANCED DISTRIBUTED BAYESIAN ESTIMATION
Alireza Sani, Azadeh Vosoughi, University of Central Florida, United States
SPTM-P4.1: ANOMALY DETECTION IN IP NETWORKS BASED ON RANDOMIZED SUBSPACE METHODS
Maboud Kaloorazi, Rodrigo de Lamare, PUC-Rio, Brazil
SPTM-P4.2: AXIOMATIC HIERARCHICAL CLUSTERING GIVEN INTERVALS OF METRIC DISTANCES
Weiyu Huang, Alejandro Ribeiro, University of Pennsylvania, United States
SPTM-P4.3: BELIEF CONTROL STRATEGIES FOR INTERACTIONS OVER WEAK GRAPHS
Hawraa Salami, Ali H. Sayed, University of California, Los Angeles, United States
SPTM-P4.4: QUANTISATION EFFECTS IN PDMM: A FIRST STUDY FOR SYNCHRONOUS DISTRIBUTED AVERAGING
Daan H. M. Schellekens, Pindrop, United Kingdom; Thomas Sherson, Richard Heusdens, Delft University of Technology, Netherlands
SPTM-P4.5: A DISTRIBUTED CONSTRAINED-FORM SUPPORT VECTOR MACHINE
François Côté, Ioannis Psaromiligkos, Warren Gross, McGill University, Canada
SPTM-P4.6: DISTRIBUTED SPECTRUM ESTIMATION BASED ON ALTERNATING MIXED DISCRETE-CONTINUOUS ADAPTATION
Rodrigo de Lamare, PUC-Rio, Brazil
SPTM-P4.7: NEAR ORTHOGONAL OVERSAMPLED GRAPH FILTER BANKS
David Tay, LaTrobe University, Australia; Yuichi Tanaka, Akie Sakiyama, Tokyo University of Agriculture and Technology, Japan
SPTM-P4.8: LEARNING AND FREE ENERGIES FOR VECTOR APPROXIMATE MESSAGE PASSING
Alyson K. Fletcher, University of California, Los Angeles, United States; Philip Schniter, Duke University, United States
SPTM-P4.9: OPTIMIZATION OVER DIRECTED GRAPHS: LINEAR CONVERGENCE RATE
Chenguang Xi, Usman Khan, Tufts University, United States
SPTM-P4.10: DISTRIBUTED SENSOR SELECTION FOR FIELD ESTIMATION
Sijia Liu, University of Michigan, United States; Sundeep Prabhakar Chepuri, Geert Leus, Delft University of Technology, Netherlands; Alfred O. Hero, University of Michigan, United States
SPTM-P5.1: BER ANALYSIS OF REGULARIZED LEAST SQUARES FOR BPSK RECOVERY
Ismail Ben Atitallah, King Abdullah University of Science and Technology, Saudi Arabia; Christos Thrampoulidis, California Institute of Technology, United States; Abla Kammoun, Tareq Y. Al-Naffouri, King Abdullah University of Science and Technology, Saudi Arabia; Babak Hassibi, California Institute of Technology, United States; Mohamed-Slim Alouini, King Abdullah University of Science and Technology, Saudi Arabia
SPTM-P5.2: ACCELERATION OF ADAPTIVE NORMALIZED QUASI-NEWTON ALGORITHM WITH IMPROVED UPPER BOUNDS OF THE CONDITION NUMBER
Kenji Kakimoto, Masao Yamagishi, Isao Yamada, Tokyo Institute of Technology, Japan
SPTM-P5.3: GENERALIZED LINEAR MODELS FOR COUNT TIME SERIES
Nicholas Bosowski, Vinay Ingle, Northeastern University, United States; Dimitris Manolakis, MIT Lincoln Laboratory, United States
SPTM-P5.4: A COMPARISON BETWEEN REAL AND COMPLEX SCHOTT SPHERICAL SYMMETRY TEST FOR POLSAR DATA ANALYSIS
Leandro Pralon, Brazilian Army Technological Center, Brazil; Gabriel Vasile, Mauro Dalla Mura, Jocelyn Chanussot, Grenoble INP, Gipsa-Lab, France
SPTM-P5.5: PERFORMANCE TRADE-OFF IN AN ADAPTIVE IEEE 802.11AD WAVEFORM DESIGN FOR A JOINT AUTOMOTIVE RADAR AND COMMUNICATION SYSTEM
Preeti Kumari, The University of Texas at Austin, United States; Duy H. N. Nguyen, San Diego State University, United States; Robert Heath, Jr., The University of Texas at Austin, United States
SPTM-P5.6: CROSS-CORRELATIONS OF ZERO CROSSINGS IN JOINTLY GAUSSIAN AND STATIONARY PROCESSES WITH ZERO MEANS
Magnus Mossberg, Karlstad University, Sweden; Mathieu Sinn, IBM Research - Ireland, Ireland
SPTM-P5.7: JEFFREY'S DIVERGENCE BETWEEN MOVING-AVERAGE AND AUTOREGRESSIVE MODELS
Léo Legrand, Éric Grivel, Bordeaux University, France
SPTM-P5.8: TWO DISTRIBUTIONS DESIGNED TO MINIMIZE THE EXPECTED DELAY IN CSMA NETWORKS
Michael Fauß, Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SPTM-P5.9: DISTRIBUTED BLIND EQUALIZATION IN NETWORKED SYSTEMS
Ying Liu, Yunlong Cai, Zhejiang University, China
SPTM-P6.1: PARAMETRIC ESTIMATION OF SPECTRUM DRIVEN BY AN EXOGENOUS SIGNAL
Tom Dupré la Tour, Yves Grenier, Alexandre Gramfort, Télécom ParisTech, France
SPTM-P6.2: ONLINE EMPIRICAL MODE DECOMPOSITION
Romain Fontugne, IIJ Research Lab, Japan; Pierre Borgnat, Patrick Flandrin, CNRS & ENS de Lyon, France
SPTM-P6.3: ADVANCES IN EMPIRICAL MODE DECOMPOSITION FOR COMPUTING INSTANTANEOUS AMPLITUDES AND INSTANTANEOUS FREQUENCIES
Steven Sandoval, Phillip De Leon, New Mexico State University, United States
SPTM-P6.4: UNCERTAINTY EXCHANGE THROUGH MULTIPLE QUADRATURE KALMAN FILTERING
Jordi Vilà-Valls, Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain; Pau Closas, Northeastern University, United States; Ángel F. García-Fernández, Aalto University, Finland
SPTM-P6.5: ACCURATE CHANGING POINT DETECTION FOR L1 MEAN FILTERING
Johan Ottersten, Bo Wahlberg, Cristian Rojas, KTH Royal Institute of Technology, Sweden
SPTM-P6.6: LEARNING OPTIMAL NONLINEARITIES FOR ITERATIVE THRESHOLDING ALGORITHMS
Ulugbek Kamilov, Hassan Mansour, Mitsubishi Electric Research Laboratories, United States
SPTM-P6.7: COMPOSITION OF BINARY COMPRESSED SENSING MATRICES
Pradip Sasmal, R. Ramu Naidu, Challa S Sastry, Phanindra Jampana, Indian Institute of Technology Hyderabad, India
SPTM-P6.8: IMPROVING THE CORRELATION LOWER BOUND FOR SIMULTANEOUS ORTHOGONAL MATCHING PURSUIT
Jean-François Determe, Université libre de Bruxelles, Belgium; Jérôme Louveaux, Laurent Jacques, Université catholique de Louvain, Belgium; François Horlin, Université libre de Bruxelles, Belgium
SPTM-P6.9: ON THE EXACT RECOVERY CONDITION OF SIMULTANEOUS ORTHOGONAL MATCHING PURSUIT
Jean-François Determe, Université libre de Bruxelles, Belgium; Jérôme Louveaux, Laurent Jacques, Université catholique de Louvain, Belgium; François Horlin, Université libre de Bruxelles, Belgium
SPTM-P6.10: GAME THEORETIC RESOURCE ALLOCATION FOR M-DEPENDENT CHANNELS WITH APPLICATION TO OFDMA
Ilai Bistritz, Tel Aviv University, Israel; Amir Leshem, Bar-Ilan University, Israel
SPTM-P7.1: SPARSE SIGNAL RECOVERY USING GENERALIZED APPROXIMATE MESSAGE PASSING WITH BUILT-IN PARAMETER ESTIMATION
Shuai Huang, Trac D. Tran, Johns Hopkins University, United States
SPTM-P7.2: SUPER-RESOLUTION DELAY-DOPPLER ESTIMATION FOR SUB-NYQUIST RADAR VIA ATOMIC NORM MINIMIZATION
Feng Xi, Shengyao Chen, Zhong Liu, Nanjing University of Science and Technology, China
SPTM-P7.3: ADAPTIVE MATCHING PURSUIT FOR SPARSE SIGNAL RECOVERY
Tiep Vu, Hojjat Mousavi, Vishal Monga, The Pennsylvania State University, United States
SPTM-P7.4: SCALED AND SQUARE-ROOT ELASTIC NET
Elias Raninen, Esa Ollila, Aalto University, Finland
SPTM-P7.5: A PRACTICAL HIGH-DIMENSIONAL SPARSE FOURIER TRANSFORM
Shaogang Wang, Vishal Patel, Athina Petropulu, Rutgers, The State University of New Jersey, United States
SPTM-P7.6: BUILDING RECURRENT NETWORKS BY UNFOLDING ITERATIVE THRESHOLDING FOR SEQUENTIAL SPARSE RECOVERY
Scott Wisdom, Thomas Powers, James Pitton, Les Atlas, University of Washington, United States
SPTM-P7.7: SPARSE ERROR CORRECTION WITH MULTIPLE MEASUREMENT VECTORS: OBSERVABILITY-AWARE APPROACH
Sharmin Kibria, Jinsub Kim, Raviv Raich, Oregon State University, United States
SPTM-P7.8: SPARSITY AMPLIFIED
Ivan Selesnick, New York University, United States
SPTM-P7.9: LAPLACE MIXTURES MODELS FOR EFFICIENT COMPRESSED SENSING WITH SIDE INFORMATION
Chiara Ravazzi, National Research Council (CNR), Italy; Enrico Magli, Politecnico di Torino, Italy
SPTM-P7.10: GROUP-LEVEL SUPPORT RECOVERY GUARANTEES FOR GROUP LASSO ESTIMATOR
Mojtaba Kadkhodaie Elyaderani, Swayambhoo Jain, Jeffrey Druce, Stefano Gonella, Jarvis Haupt, University of Minnesota, United States
SPTM-P8.1: PARTICLE FLOW FOR SEQUENTIAL MONTE CARLO IMPLEMENTATION OF PROBABILITY HYPOTHESIS DENSITY
Yang Liu, Wenwu Wang, University of Surrey, United Kingdom; Yuxin Zhao, Harbin Engineering University, China
SPTM-P8.2: PARTICLE PHD FILTER BASED MULTI-TARGET TRACKING USING DISCRIMINATIVE GROUP-STRUCTURED DICTIONARY LEARNING
Zeyu Fu, Pengming Feng, Mohsen Naqvi, Jonathon Chambers, Newcastle University, United Kingdom
SPTM-P8.3: PARTICLE FLOW SMC DELTA-GLMB FILTER
Augustin-Alexandru Saucan, Yunpeng Li, Mark J. Coates, McGill University, Canada
SPTM-P8.4: EXTENDED KALMAN FILTER FOR EXTENDED OBJECT TRACKING
Shishan Yang, Marcus Baum, University of Göttingen, Germany
SPTM-P8.5: COPULA APPLICATION IN NONLINEAR/NON-GAUSSIAN BAYESIAN TRACKING IN THE CASE OF CORRELATED SENSORS
Mohammad Moradi, Hamidreza Amindavar, Amirkabir University of Technology, Iran
SPTM-P8.6: BERNOULLI FILTER BASED ALGORITHM FOR JOINT TARGET TRACKING AND CLASSIFICATION IN A CLUTTERED ENVIRONMENT
Léo Legrand, Audrey Giremus, Éric Grivel, University of Bordeaux, France; Laurent Ratton, Bernard Joseph, Thales, France
SPTM-P8.7: CONSISTENT ESTIMATION OF RANDOMLY SAMPLED ORNSTEIN–UHLENBECK PROCESS LONG-RUN MEAN FOR LONG-TERM TARGET STATE PREDICTION
Leonardo M. Millefiori, Paolo Braca, NATO STO CMRE, Italy; Peter Willett, University of Connecticut, United States
SPTM-P8.8: AVERAGE CONSENSUS-BASED ASYNCHRONOUS TRACKING
Sandeep Katragadda, Queen Mary University of London, United Kingdom; Carlo S. Regazzoni, University of Genoa, Italy; Andrea Cavallaro, Queen Mary University of London, United Kingdom
SPTM-P8.9: EFFICIENT BRIDGING-BASED DESTINATION INFERENCE IN OBJECT TRACKING
Tohid Ardeshiri, Bashar I. Ahmad, Patrick M. Langdon, Simon J. Godsill, University of Cambridge, United Kingdom
SPTM-P8.10: COST-EFFECTIVE DIFFUSION KALMAN FILTERING WITH IMPLICIT MEASUREMENT EXCHANGES
Sayed Pouria Talebi, Sithan Kanna, Imperial College London, United Kingdom; Yili Xia, Southeast University, China; Danilo Mandic, Imperial College London, United Kingdom
SPTM-P9.1: A NEW FRAMEWORK FOR DESIGNING INCOHERENT SPARSIFYING DICTIONARIES
Gang Li, Zhejiang University of Science and Technology, China; Zhihui Zhu, Colorado School of Mines, United States; Huang Bai, Aihua Yu, Zhejiang University of Technology, China
SPTM-P9.2: STRUCTURE-AWARE CLASSIFICATION USING SUPERVISED DICTIONARY LEARNING
Yael Yankelevsky, Michael Elad, Technion - Israel Institute of Technology, Israel
SPTM-P9.3: ESTIMATING SPARSE SIGNALS USING INTEGRATED WIDE-BAND DICTIONARIES
Maksim Butsenko, Tallinn University of Technology, Estonia; Johan Swärd, Andreas Jakobsson, Lund University, Sweden
SPTM-P9.4: SPARSITY REGULARIZED PRINCIPAL COMPONENT PURSUIT
Jing Liu, Pamela Cosman, Bhaskar D. Rao, University of California, San Diego, United States
SPTM-P9.5: FAST EXEMPLAR SELECTION ALGORITHM FOR MATRIX APPROXIMATION AND REPRESENTATION: A VARIANT OASIS ALGORITHM
Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao, Indian Institute of Technology Mandi, India
SPTM-P9.6: MATRIX COMPLETION OF NOISY GRAPH SIGNALS VIA PROXIMAL GRADIENT MINIMIZATION
Pere Giménez-Febrer, Alba Pagès-Zamora, Universitat Politècnica de Catalunya, Spain
SPTM-P9.7: LOW RANK PHASE RETRIEVAL
Seyedehsara Nayer, Namrata Vaswani, Iowa State University, United States; Yonina C. Eldar, Technion - Israel Institute of Technology, Israel
SPTM-P9.8: FAST AND PRIVACY PRESERVING DISTRIBUTED LOW-RANK REGRESSION
Hoi-To Wai, Anna Scaglione, Arizona State University, United States; Jean Lafond, Télécom ParisTech, France; Eric Moulines, École Polytechnique, France
SPTM-P9.9: BLIND DECONVOLUTION FROM MULTIPLE SPARSE INPUTS
Liming Wang, Yuejie Chi, The Ohio State University, United States
SPTM-P9.10: OPTIMAL LOW-RANK DYNAMIC MODE DECOMPOSITION
Patrick Héas, Cédric Herzet, INRIA - Centre de Rennes, Bretagne Atlantique, France
SPTM-P10.1: ESTIMATION ACCURACY OF NON-STANDARD MAXIMUM LIKELIHOOD ESTIMATORS
Nabil Kbayer, Université de Toulouse / ISAE-SUPAERO, France; Jérôme Galy, Université de Montpellier 2 / LIRMM, France; Eric Chaumette, François Vincent, Université de Toulouse / ISAE-SUPAERO, France; Alexandre Renaux, Université Paris Sud / LSS, France; Pascal Larzabal, Université Paris Sud / SATIE, France
SPTM-P10.2: GENERALIZED BARANKIN-TYPE LOWER BOUNDS FOR MISSPECIFIED MODELS
Mouhamadou Lamine Diong, Eric Chaumette, François Vincent, Isae-Supaero, Université de Toulouse, France
SPTM-P10.3: INFORMATION GEOMETRY METRIC FOR RANDOM SIGNAL DETECTION IN LARGE RANDOM SENSING SYSTEMS
Remy Boyer, University of Paris-Sud - L2S, France; Frank Nielsen, École Polytechnique, France
SPTM-P10.4: COMBINATORIAL BOUNDS ON THE $\ALPHA$-DIVERGENCE OF UNIVARIATE MIXTURE MODELS
Frank Nielsen, École Polytechnique, France; Ke Sun, King Abdullah University of Science and Technology, Saudi Arabia
SPTM-P10.5: CONCOMITANT OF ORDERED MULTIVARIATE NORMAL DISTRIBUTION WITH APPLICATION TO PARAMETRIC INFERENCE
Eric Chaumette, François Vincent, University of Toulouse/Isae-Supaero, France
SPTM-P10.6: A BAYESIAN LOWER BOUND FOR PARAMETER ESTIMATION OF POISSON DATA INCLUDING MULTIPLE CHANGES
Lucien Bacharach, University of Paris-Sud, France; Mohammed Nabil El Korso, University of Paris-Ouest, France; Alexandre Renaux, University of Paris-Sud, France; Jean-Yves Tourneret, IRIT/INP-ENSEEIHT/TéSA, University of Toulouse, France
SPTM-P10.7: PERFORMANCE ANALYSIS FOR TIME-OF-ARRIVAL ESTIMATION WITH OVERSAMPLED LOW-COMPLEXITY 1-BIT A/D CONVERSION
Manuel S. Stein, Vrije Universiteit Brussel, Belgium
SPTM-P10.8: OPTIMAL BIASED ESTIMATION USING LEHMANN-UNBIASEDNESS
Eyal Nitzan, Tirza Routtenberg, Joseph Tabrikian, Ben-Gurion University of the Negev, Israel
SPTM-P10.9: SAMPLE COMPLEXITY BOUNDS FOR DICTIONARY LEARNING OF TENSOR DATA
Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate, Rutgers, The State University of New Jersey, United States
SPTM-P10.10: ASYMPTOTIC ANALYSIS OF A GLR TEST FOR DETECTION WITH LARGE SENSOR ARRAYS: NEW RESULTS.
Sonja Hiltunen, Université Paris Est Marne-la-Vallée, France; Philippe Loubaton, CNRS, Université Paris-Est Marne-la-Vallée, France
SPTM-P11.1: FAST ORTHOGONAL APPROXIMATIONS OF SAMPLED SINUSOIDS AND BANDLIMITED SIGNALS
Zhihui Zhu, Colorado School of Mines, United States; Santhosh Karnik, Georgia Institute of Technology, United States; Michael Wakin, Colorado School of Mines, United States; Mark Davenport, Justin Romberg, Georgia Institute of Technology, United States
SPTM-P11.2: FAST INTERPOLATION OF BANDLIMITED FUNCTIONS
Samuel Potter, Nail Gumerov, Ramani Duraiswami, University of Maryland, College Park, United States
SPTM-P11.3: A ROBUST FISTA-LIKE ALGORITHM
Mihai I. Florea, Sergiy A. Vorobyov, Aalto University, Finland
SPTM-P11.4: EFFICIENT POSTCODING FILTER IN LU-BASED BEAMFORMING SCHEME
Mamadou Mboup, University of Reims, France; Moussa Diallo, Moustapha Mbaye, University Cheikh Anta Diop, Senegal
SPTM-P11.5: IMPROVING THE SPATIAL DIMENSIONALITY OF GAUSS-LEGENDRE AND EQUIANGULAR SAMPLING SCHEMES ON THE SPHERE
Zubair Khalid, Lahore University of Management Sciences, Pakistan; Rodney Kennedy, Salman Durrani, Australian National University, Australia
SPTM-P11.6: DIRECTIONAL DISCRETE COSINE TRANSFORMS ARISING FROM DISCRETE COSINE AND SINE TRANSFORMS FOR DIRECTIONAL BLOCK-WISE IMAGE REPRESENTATION
Tomohiro Ichita, Seisuke Kyochi, The University of Kitakyushu, Japan; Taizo Suzuki, University of Tsukuba, Japan; Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan
SPTM-P11.7: IMPROVED EIGENVALUE SHRINKAGE USING WEIGHTED CHEBYSHEV POLYNOMIAL APPROXIMATION
Masaki Onuki, Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan; Masahiro Okuda, The University of Kitakyushu, Japan
SPTM-P11.8: SPARSITY-ASSISTED SIGNAL SMOOTHING (REVISITED)
Ivan Selesnick, New York University, United States
SPTM-P11.9: ENHANCING OBSERVABILITY IN POWER DISTRIBUTION GRIDS
Siddharth Bhela, Vassilis Kekatos, Virginia Tech, United States; Liang Zhang, University of Minnesota, United States; Sriharsha Veeramachaneni, Windlogics Inc., United States
SPTM-P12.1: MODEL ORDER SELECTION FOR SAMPLING FRI SIGNALS
Xiaoyao Wei, Pier Luigi Dragotti, Imperial College London, United Kingdom
SPTM-P12.2: STRUCTURE OF THE SET OF SIGNALS WITH STRONG DIVERGENCE OF THE SHANNON SAMPLING SERIES
Holger Boche, Ullrich Mönich, Ezra Tampubolon, Technical University of Munich, Germany
SPTM-P12.3: UNLABELED SENSING: RECONSTRUCTION ALGORITHM AND THEORETICAL GUARANTEES
Golnoosh Elhami, Adam James Scholefield, Benjamin Béjar Haro, Martin Vetterli, École Polytechnique Fédérale de Lausanne, Switzerland
SPTM-P12.4: A FINITE RATE OF INNOVATION MULTICHANNEL SAMPLING HARDWARE SYSTEM FOR MULTI-PULSE SIGNALS
Ning Fu, Liwen Sun, Guoxing Huang, Shuaile Du, Harbin Institute of Technology, China
SPTM-P12.5: AN ITERATIVE RECONSTRUCTION ALGORITHM FOR AMPLITUDE SAMPLING
Hsin-Yu Lai, Pablo Mart´inez-Nuevo, Alan V. Oppenheim, Massachusetts Institute of Technology, United States
SPTM-P12.6: RATE-DISTORTION ANALYSIS OF DELTA-SIGMA MODULATORS
Shuichi Ohno, Teruyuki Shiraki, M.Rizwan Tariq, Hiroshima University, Japan; Masaaki Nagahara, The University of Kitakyushu, Japan
SPTM-P12.7: HYPERSPECTRAL IMAGE RESTORATION BY HYBRID SPATIO-SPECTRAL TOTAL VARIATION
Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa, Tokyo Institute of Technology, Japan
SPTM-P12.8: OPTIMIZATION OF COMPOUND REGULARIZATION PARAMETERS BASED ON STEIN’S UNBIASED RISK ESTIMATE
Feng Xue, National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics, China; Hanjie Pan, École Polytechnique Fédérale de Lausanne, Switzerland; Runhui Wu, Xin Liu, Jiaqi Liu, National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics, China
SPTM-P12.9: PHASE RETRIEVAL WITH A MULTIVARIATE VON MISES PRIOR: FROM A BAYESIAN FORMULATION TO A LIFTING SOLUTION
Angélique Drémeau, ENSTA Bretagne, France; Antoine Deleforge, Inria, France
SPTM-P12.10: MATCHED SUBSPACE DETECTION USING COMPRESSIVELY SAMPLED DATA
Dejiao Zhang, Laura Balzano, University of Michigan, Ann Arbor, United States
SPTM-P13.1: SEQUENTIAL JOINT SIGNAL DETECTION AND SIGNAL-TO-NOISE RATIO ESTIMATION
Michael Fauß, Darmstadt University of Technology, Germany; K. G. Nagananda, PES University, India; Abdelhak M. Zoubir, Darmstadt University of Technology, Germany; H. Vincent Poor, Princeton University, United States
SPTM-P13.2: MULTI-SPEAKER VOICE ACTIVITY DETECTION BY AN IMPROVED MULTIPLICATIVE NON-NEGATIVE INDEPENDENT COMPONENT ANALYSIS WITH SPARSENESS CONSTRAINTS
L. Khadidja Hamaidi, Michael Muma, Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SPTM-P13.3: SIMULTANEOUS SPARSITY-BASED BINARY HYPOTHESIS MODEL FOR REAL HYPERSPECTRAL TARGET DETECTION
Ahmad Bitar, CentraleSupelec/SONDRA, France; Loong-Fah Cheong, National University of Singapore, Singapore; Jean-Philippe Ovarlez, CentraleSupelec/SONDRA, France
SPTM-P13.4: DETECTION WITH MULTIMODAL DEPENDENT DATA USING LOW DIMENSIONAL RANDOM PROJECTIONS
Thakshila Wimalajeewa, Pramod K. Varshney, Syracuse University, United States
SPTM-P13.5: LINEAR DISCRIMINANT ANALYSIS WITH FEW TRAINING DATA
Panos Markopoulos, Rochester Institute of Technology, United States
SPTM-P13.6: CONSENSUS CLUSTERING ON DATA FRAGMENTS
Sergey Sukhanov, Vishal Gupta, Christian Debes, AGT international, Germany; Abdelhak M. Zoubir, Technical University Darmstadt, Germany
SPTM-P13.7: HUMAN RECOGNITION FROM PHOTOPLETHYSMOGRAPHY (PPG) BASED ON NON-FIDUCIAL FEATURES
Nima Karimian, University of Connecticut, United States; Zimu Guo, Mark Tehranipoor, Domenic Forte, University of Florida, United States
SPTM-P13.8: A ROTATION-AIDED ARCTANGENT PHASE DISCRIMINATOR WITH ONE-BIT QUANTIZATION
Yu Ye, Royal Institute of Technology, Sweden; Hanshen Xiao, Massachusetts Institute of Technology, United States; Guoqiang Xiao, Southwest Univerisity, China
SPTM-P13.9: LOCAL DETECTION AND ESTIMATION OF MULTIPLE OBJECTS FROM IMAGES WITH OVERLAPPING OBSERVATION AREAS
Rene Repp, Günther Koliander, TU Wien, Austria; Florian Meyer, Centre for Maritime Research and Experimentation, Italy; Franz Hlawatsch, TU Wien, Austria
SPTM-P13.10: DISTRIBUTED TARGET DETECTION WITH PARTIAL OBSERVATION VIA MATRIX COMPLETION
Le Xiao, Yimin Liu, Xiqin Wang, Tsinghua University, China
SPTM-P14.1: A NEW CHAOTIC FEATURE FOR EEG CLASSIFICATION BASED SEIZURE DIAGNOSIS
Su Yang, Anqin Zhang, Fudan University, China; Jiulong Zhang, Xi'an University of Technology, China; Weishan Zhang, China University of Petroleum, China
SPTM-P14.2: INTRODUCING COMPLEX FUNCTIONAL LINK POLYNOMIAL FILTERS
Alberto Carini, University of Urbino, Italy; Danilo Comminiello, Sapienza University of Rome, Italy
SPTM-P14.3: P-LEADER MULTIFRACTAL ANALYSIS FOR TEXT TYPE IDENTIFICATION
Roberto Leonarduzzi, Patrice Abry, Université de Lyon, France; Stéphane Jaffard, Universite Paris Est, France; Herwig Wendt, Université de Toulouse, France; Lucie Gournay, Tita Kyriacopoulou, Claude Martineau, Cristian Martinez, Universite Paris Est, France
SPTM-P14.4: A NEURAL FILTER-BASED SCHEME FOR SYNCHRONIZING CHAOTIC SYSTEMS
Yu Guo, Fei Wang, Xi'an Jiaotong University, China; James Ting-Ho Lo, University of Maryland, Baltimore County, United States
SPTM-P14.5: PARSIMONIOUS ONLINE LEARNING WITH KERNELS VIA SPARSE PROJECTIONS IN FUNCTION SPACE
Alec Koppel, University of Pennsylvania, United States; Garrett Warnell, Ethan Stump, U.S. Army Research Laboratory, United States; Alejandro Ribeiro, University of Pennsylvania, United States
SPTM-P14.6: APPROXIMATE SIMULATION OF LINEAR CONTINUOUS TIME MODELS DRIVEN BY ASYMMETRIC STABLE LÉVY PROCESSES
Marina Riabiz, Simon J. Godsill, University of Cambridge, United Kingdom
SPTM-P14.7: BLIND COMPENSATION OF POLYNOMIAL MIXTURES OF GAUSSIAN SIGNALS WITH APPLICATION IN NONLINEAR BLIND SOURCE SEPARATION
Bahram Ehsandoust, Bertrand Rivet, University of Grenoble Alpes, CNRS, France; Massoud Babaie-Zadeh, Sharif University of Technology, Iran; Christian Jutten, University of Grenoble Alpes, CNRS, France
SPTM-P14.8: COMPUTATION AND VISUALIZATION OF POSTERIOR DENSITIES IN SCALAR NONLINEAR AND NON-GAUSSIAN BAYESIAN FILTERING AND SMOOTHING PROBLEMS
Michael Roth, Fredrik Gustafsson, Linköping University, Sweden
SPTM-P14.9: WHY DOES A HILBERTIAN METRIC WORK EFFICIENTLY IN ONLINE LEARNING WITH KERNELS?
Masahiro Yukawa, Keio University, Japan; Klaus-Robert Müller, Technische Universität Berlin, Germany
SPTM-P15.1: NON-CONVEX SHREDDED SIGNAL RECONSTRUCTION VIA SPARSITY ENHANCEMENT
Arindam Bose, Mojtaba Soltanalian, University of Illinois at Chicago, United States
SPTM-P15.2: A DOUBLE INCREMENTAL AGGREGATED GRADIENT METHOD WITH LINEAR CONVERGENCE RATE FOR LARGE-SCALE OPTIMIZATION
Aryan Mokhtari, University of Pennsylvania, United States; Mert Gurbuzbalaban, Rutgers, The State University of New Jersey, United States; Alejandro Ribeiro, University of Pennsylvania, United States
SPTM-P15.3: LARGE-SCALE NONCONVEX STOCHASTIC OPTIMIZATION BY DOUBLY STOCHASTIC SUCCESSIVE CONVEX APPROXIMATION
Aryan Mokhtari, Alec Koppel, University of Pennsylvania, United States; Gesualdo Scutari, Purdue University, United States; Alejandro Ribeiro, University of Pennsylvania, United States
SPTM-P15.4: ASYNCHRONOUS PARALLEL NONCONVEX LARGE-SCALE OPTIMIZATION
Loris Cannelli, Purdue University, United States; Francisco Facchinei, University of Rome, La Sapienza, Italy; Vyacheslav Kungurtsev, Czech Technical University in Prague, Czech Republic; Gesualdo Scutari, Purdue University, United States
SPTM-P15.5: ACCELERATING THE HYBRID STEEPEST DESCENT METHOD FOR AFFINELY CONSTRAINED CONVEX COMPOSITE MINIMIZATION TASKS
Konstantinos Slavakis, University at Buffalo, The State University of New York, United States; Isao Yamada, Shunsuke Ono, Tokyo Institute of Technology, Japan
SPTM-P15.6: KACZMARZ METHOD FOR SOLVING QUADRATIC EQUATIONS
Yuejie Chi, The Ohio State University, United States; Yue M. Lu, Harvard University, United States
SPTM-P15.7: CONVERGENCE RATES OF INERTIAL SPLITTING SCHEMES FOR NONCONVEX COMPOSITE OPTIMIZATION
Patrick Johnstone, Pierre Moulin, University of Illinois, United States
SPTM-P15.8: A SPARSE CCA ALGORITHM WITH APPLICATION TO MODEL-ORDER SELECTION FOR SMALL SAMPLE SUPPORT
Christian Lameiro, Peter J. Schreier, Universität Paderborn, Germany
SPTM-P15.9: COALITIONAL GAME THEORETIC OPTIMIZATION OF ELECTRICITY COST FOR COMMUNITIES OF SMART HOUSEHOLDS
Adriana Chis, Jarmo Lunden, Visa Koivunen, Aalto University, Finland
SPTM-P15.10: SQUARE-ROOT LASSO WITH NONCONVEX REGULARIZATION: AN ADMM APPROACH
Xinyue Shen, Laming Chen, Yuantao Gu, Tsinghua University, China; Hing Cheung So, City University of Hong Kong, China
SPTM-P16.1: A COMPACT FORMULATION FOR THE L21 MIXED-NORM MINIMIZATION PROBLEM
Christian Steffens, Marius Pesavento, Marc Pfetsch, Technische Universität Darmstadt, Germany
SPTM-P16.2: GRIDLESS COMPRESSED SENSING UNDER SHIFT-INVARIANT SAMPLING
Christian Steffens, Wassim Suleiman, Alexander Sorg, Marius Pesavento, Technische Universität Darmstadt, Germany
SPTM-P16.3: COMPRESSED SENSING AND OPTIMAL DENOISING OF MONOTONE SIGNALS
Eftychios A. Pnevmatikakis, Flatiron Institute, Simons Foundation, United States
SPTM-P16.4: IMAGE RECONSTRUCTION FROM PARTIAL FOURIER MEASUREMENTS VIA CURL CONSTRAINED SPARSE GRADIENT ESTIMATION
Chiara Ravazzi, Giulio Coluccia, Enrico Magli, Politecnico di Torino, Italy
SPTM-P16.5: MISMATCHED SPARSE DENOISER REQUIRES OVERESTIMATING THE SUPPORT LENGTH
Giulio Coluccia, Politecnico di Torino, Italy; Aline Roumy, Inria, France; Enrico Magli, Politecnico di Torino, Italy
SPTM-P16.6: EXTRACTING FOURIER DESCRIPTORS FROM COMPRESSIVE MEASUREMENTS
Puyang Wang, Vishal Patel, Rutgers, The State University of New Jersey, United States
SPTM-P16.7: RECOVERY OF SPARSE SIGNALS VIA BRANCH AND BOUND LEAST-SQUARES
Abolfazl Hashemi, Haris Vikalo, The University of Texas at Austin, United States
SPTM-P16.8: MULTIPROCESSOR APPROXIMATE MESSAGE PASSING WITH COLUMN-WISE PARTITIONING
Yanting Ma, North Carolina State University, United States; Yue M. Lu, Harvard University, United States; Dror Baron, North Carolina State University, United States
SPTM-P16.9: PHASE RETRIEVAL FROM STFT MEASUREMENTS VIA NON-CONVEX OPTIMIZATION
Tamir Bendory, Yonina C. Eldar, Technion - Israel Institute of Technology, Israel
SPTM-P16.10: A GREEDY ALGORITHM WITH LEARNED STATISTICS FOR SPARSE SIGNAL RECONSTRUCTION
Lucas Rencker, Wenwu Wang, Mark D. Plumbley, University of Surrey, United Kingdom
SPTM-P17.1: UNSUPERVISED LEARNING OF ASYMMETRIC HIGH-ORDER AUTOREGRESSIVE STOCHASTIC VOLATILITY MODEL
Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski, SAMOVAR, Telecom SudParis, CNRS, Université Paris-Saclay, France
SPTM-P17.2: QUICKEST CHANGE DETECTION UNDER TRANSIENT DYNAMICS
Georgios Rovatsos, Shaofeng Zou, Venugopal V. Veeravalli, University of Illinois at Urbana-Champaign, United States
SPTM-P17.3: KALMAN FILTER BASED SYSTEM IDENTIFICATION EXPLOITING THE DECORRELATION EFFECTS OF LINEAR PREDICTION
Stefan Kühl, Christiane Antweiler, Tobias Hübschen, Peter Jax, RWTH Aachen University, Germany
SPTM-P17.4: OPTIMAL SPARSITY TRADOFF IN L0-NLMS ALGORITHM
Abdullah Al-Shabili, Khalifa University, United Arab Emirates; Luis Weruaga, proactivaudio, Austria; Shihab Jimaa, Khalifa University, United Arab Emirates
SPTM-P17.5: GEOMETRIC-ALGEBRA LMS ADAPTIVE FILTER AND ITS APPLICATION TO ROTATION ESTIMATION
Wilder Lopes, University of São Paulo, Brazil; Anas Al-Nuaimi, Technical University Munich, Germany; Cassio Lopes, University of São Paulo, Brazil
SPTM-P17.6: TRANSIENT PERFORMANCE ANALYSIS OF ZERO-ATTRACTING LMS
Jie Chen, Northwestern Polytechnical University, China; Cédric Richard, Université Nice Sophia-Antipolis, CNRS, OCA, France; Yingying Song, David Brie, Université de Lorraine, France
SPTM-P17.7: ENERGY BLOWUP FOR TRUNCATED STABLE LTI SYSTEMS
Holger Boche, Ullrich Mönich, Technical University of Munich, Germany
SPTM-P17.8: AUTOMATIC SHRINKAGE TUNING BASED ON A SYSTEM-MISMATCH ESTIMATE FOR SPARSITY-AWARE ADAPTIVE FILTERING
Masao Yamagishi, Tokyo Institute of Technology, Japan; Yukawa Masahiro, Keio University, Japan; Isao Yamada, Tokyo Institute of Technology, Japan
SP-L1.1: ADVANCES IN ALL-NEURAL SPEECH RECOGNITION
Geoffrey Zweig, Microsoft, United States; Chengzhu Yu, The University of Texas at Dallas, United States; Jasha Droppo, Andreas Stolcke, Microsoft, United States
SP-L1.2: RESIDUAL MEMORY NETWORKS: FEED-FORWARD APPROACH TO LEARN LONG-TERM TEMPORAL DEPENDENCIES
Murali Karthick Baskar, Martin Karafi´at, Lukas Burget, Karel Vesel´y, Franti?sek Gr´ezl, Jan “honza” Cernocky, Brno University of Technology, Czech Republic
SP-L1.3: MULTI-ACCENT SPEECH RECOGNITION WITH HIERARCHICAL GRAPHEME BASED MODELS
Kanishka Rao, Hasim Sak, Google Inc., United States
SP-L1.4: KNOWLEDGE DISTILLATION FOR SMALL-FOOTPRINT HIGHWAY NETWORKS
Liang Lu, Toyota Technological Institute at Chicago, United States; Michelle Guo, Stanford University, United States; Steve Renals, The University of Edinburgh, United Kingdom
SP-L1.5: KNOWLEDGE DISTILLATION ACROSS ENSEMBLES OF MULTILINGUAL MODELS FOR LOW-RESOURCE LANGUAGES
Jia Cui, Brian Kingsbury, Bhuvana Ramabhadran, George Saon, Tom Sercu, Kartik Audhkhasi, Abhinav Sethy, Markus Nussbaum-Thom, Andrew Rosenberg, IBM T.J. Watson Research Center, United States
SP-L1.6: STIMULATED TRAINING FOR AUTOMATIC SPEECH RECOGNITION AND KEYWORD SEARCH IN LIMITED RESOURCE CONDITIONS
Anton Ragni, Chunyang Wu, Mark Gales, Jake Vasilakes, Kate Knill, University of Cambridge, United Kingdom
SP-L2.1: JOINT CTC-ATTENTION BASED END-TO-END SPEECH RECOGNITION USING MULTI-TASK LEARNING
Suyoun Kim, Carnegie Mellon University, United States; Takaaki Hori, Shinji Watanabe, Mitsubishi Electric Research Laboratories, United States
SP-L2.2: END-TO-END ASR-FREE KEYWORD SEARCH FROM SPEECH
Kartik Audhkhasi, Andrew Rosenberg, Abhinav Sethy, Bhuvana Ramabhadran, Brian Kingsbury, IBM, United States
SP-L2.3: VERY DEEP CONVOLUTIONAL NETWORKS FOR END-TO-END SPEECH RECOGNITION
Yu Zhang, Massachusetts Institute of Technology, United States; William Chan, Carnegie Mellon University, United States; Navdeep Jaitly, Google Brain, United States
SP-L2.4: CONFIDENCE MEASURES FOR CTC-BASED PHONE SYNCHRONOUS DECODING
Zhehuai Chen, Yimeng Zhuang, Kai Yu, Shanghai Jiao Tong University, China
SP-L2.5: MINIMUM BAYES RISK TRAINING OF CTC ACOUSTIC MODELS IN MAXIMUM A POSTERIORI BASED DECODING FRAMEWORK
Naoyuki Kanda, Xugang Lu, Hisashi Kawai, National Institute of Information and Communications Technology, Japan
SP-L2.6: END-TO-END SPOOFING DETECTION WITH RAW WAVEFORM CLDNNS
Heinrich Dinkel, Nanxin Chen, Yanmin Qian, Kai Yu, Shanghai Jiao Tong University, China
SP-L3.1: IMPROVED CEPSTRA MINIMUM-MEAN-SQUARE-ERROR NOISE REDUCTION ALGORITHM FOR ROBUST SPEECH RECOGNITION
Jinyu Li, Yan Huang, Yifan Gong, Microsoft, United States
SP-L3.2: COMBINATION STRATEGY BASED ON RELATIVE PERFORMANCE MONITORING FOR MULTI-STREAM REVERBERANT SPEECH RECOGNITION
Feifei Xiong, Stefan Goetze, Fraunhofer IDMT/HSA, Germany; Bernd T. Meyer, Johns Hopkins University, United States
SP-L3.3: ONLINE ENVIRONMENTAL ADAPTATION OF CNN-BASED ACOUSTIC MODELS USING SPATIAL DIFFUSENESS FEATURES
Christian Huemmer, Marc Delcroix, Atsunori Ogawa, Keisuke Kinoshita, Tomohiro Nakatani, NTT Corporation, Japan; Walter Kellermann, FAU Erlangen-Nuremberg, Germany
SP-L3.4: A NETWORK OF DEEP NEURAL NETWORKS FOR DISTANT SPEECH RECOGNITION
Mirco Ravanelli, Fondazione Bruno Kessler, Italy; Philemon Brakel, University of Montreal, Canada; Maurizio Omologo, Fondazione Bruno Kessler, Italy; Yoshua Bengio, University of Montreal, Canada
SP-L3.5: DISCRIMINATIVE IMPORTANCE WEIGHTING OF AUGMENTED TRAINING DATA FOR ACOUSTIC MODEL TRAINING
Sunit Sivasankaran, Emmanuel Vincent, Irina Illina, INRIA-Nancy, France
SP-L3.6: UNSUPERVISED SPEAKER ADAPTATION OF BATCH NORMALIZED ACOUSTIC MODELS FOR ROBUST ASR
Zhong-Qiu Wang, DeLiang Wang, The Ohio State University, United States
SP-L4.1: AN AUTOREGRESSIVE RECURRENT MIXTURE DENSITY NETWORK FOR PARAMETRIC SPEECH SYNTHESIS
Xin Wang, Shinji Takaki, Junichi Yamagishi, National Institute of Informatics, Japan
SP-L4.2: TRAINING ALGORITHM TO DECEIVE ANTI-SPOOFING VERIFICATION FOR DNN-BASED SPEECH SYNTHESIS
Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari, The University of Tokyo, Japan
SP-L4.3: ADAPTING AND CONTROLLING DNN-BASED SPEECH SYNTHESIS USING INPUT CODES
Hieu-Thi Luong, Vietnam National University Ho Chi Minh City - University of Science, Viet Nam; Shinji Takaki, Gustav Eje Henter, Junichi Yamagishi, National Institute of Informatics, Japan
SP-L4.4: GENERATIVE ADVERSARIAL NETWORK-BASED POSTFILTER FOR STATISTICAL PARAMETRIC SPEECH SYNTHESIS
Takuhiro Kaneko, Hirokazu Kameoka, Nobukatsu Hojo, Yusuke Ijima, Kaoru Hiramatsu, Kunio Kashino, NTT Corporation, Japan
SP-L4.5: EXTRACTING STRUCTURAL SPECTRAL FEATURES USING WHAT-WHERE AUTO-ENCODERS FOR STATISTICAL PARAMETRIC SPEECH SYNTHESIS
Ya-Jun Hu, Zhen-Hua Ling, Li-Rong Dai, University of Science and Technology of China, China
SP-L4.6: EXPRESSIVE VISUAL TEXT TO SPEECH AND EXPRESSION ADAPTATION USING DEEP NEURAL NETWORKS
Jonathan Parker, University of Cambridge; Toshiba Research Europe Ltd, Cambridge, United Kingdom; Ranniery Maia, Toshiba Research Europe Ltd, Cambridge, United Kingdom; Yannis Stylianou, Toshiba Research Europe Ltd, Cambridge; University of Crete, United Kingdom; Roberto Cipolla, University of Cambridge; Toshiba Research Europe Ltd, Cambridge, United Kingdom
SP-L5.1: DNN APPROACH TO SPEAKER DIARISATION USING SPEAKER CHANNELS
Rosanna Milner, Thomas Hain, University of Sheffield, United Kingdom
SP-L5.2: SPEAKER DIARIZATION USING DEEP NEURAL NETWORK EMBEDDINGS
Daniel Garcia-Romero, David Snyder, Gregory Sell, Dan Povey, Alan McCree, Johns Hopkins University, United States
SP-L5.3: VARIATIONAL MANIFOLD LEARNING FOR SPEAKER RECOGNITION
Jen-Tzung Chien, Cheng-Wei Hsu, National Chiao Tung University, Taiwan
SP-L5.4: NORMAL-TO-SHOUTED SPEECH SPECTRAL MAPPING FOR SPEAKER RECOGNITION UNDER VOCAL EFFORT MISMATCH
Ana Ramírez López, Rahim Saeidi, Lauri Juvela, Paavo Alku, Aalto University, Finland
SP-L5.5: CONVOLUTIONAL NEURAL NETWORK FOR SPEAKER CHANGE DETECTION IN TELEPHONE SPEAKER DIARIZATION SYSTEM
Marek Hruz, Zbynek Zajic, University of West Bohemia, Czech Republic
SP-L5.6: SPEAKER DIARIZATION: A PERSPECTIVE ON CHALLENGES AND OPPORTUNITIES FROM THEORY TO PRACTICE
Kenneth Church, Weizhong Zhu, Josef Vopicka, Jason Pelecanos, Dimitrios Dimitriadis, Petr Fousek, IBM, United States
SP-L6.1: SPEECH DEREVERBERATION USING NMF WITH REGULARIZED ROOM IMPULSE RESPONSE
Nikhil Mohanan, Rajbabu Velmurugan, Preeti Rao, Indian Institute of Technology Bombay, India
SP-L6.2: A NOISE SUPPRESSION METHOD FOR BODY-CONDUCTED SOFT SPEECH BASED ON NON-NEGATIVE TENSOR FACTORIZATION OF AIR- AND BODY-CONDUCTED SIGNALS
Yusuke Tajiri, Nagoya University, Japan; Hirokazu Kameoka, NTT Communication Science Laboratories, Japan; Tomoki Toda, Nagoya University, Japan
SP-L6.3: A MINIMUM VARIANCE PARTIALLY DISTORTIONLESS RESPONSE FILTER FOR SINGLE-CHANNEL NOISE REDUCTION
Xianghui Wang, Jingdong Chen, Northwestern Polytechnical University, China; Jacob Benesty, University of Quebec, Canada
SP-L6.4: JOINT NEAR-END LISTENING ENHANCEMENT AND FAR-END NOISE REDUCTION
Markus Niermann, Peter Jax, Peter Vary, RWTH Aachen University, Germany
SP-L6.5: CONVEX COMBINATION FRAMEWORK FOR A PRIORI SNR ESTIMATION IN SPEECH ENHANCEMENT
Lara Nahma, Pei Chee Yong, Hai Huyen Dam, Sven Nordholm, Curtin University, Australia
SP-L6.6: A GENERALIZED LOG-SPECTRAL AMPLITUDE ESTIMATOR FOR SINGLE-CHANNEL SPEECH ENHANCEMENT
Aleksej Chinaev, Reinhold Haeb-Umbach, Paderborn University, Germany
SP-L7.1: HYPERARTICULATION DETECTION IN REPETITIVE VOICE QUERIES USING PAIRWISE COMPARISON FOR IMPROVED SPEECH RECOGNITION
Ranjitha Gurunath Kulkarni, Ahmed El Kholy, Ziad Al Bawab, Noha Alon, Imed Zitouni, Umut Ozertem, Shuangyu Chang, Microsoft, United States
SP-L7.2: MULTI-TASK DEEP NEURAL NETWORK WITH SHARED HIDDEN LAYERS: BREAKING DOWN THE WALL BETWEEN EMOTION REPRESENTATIONS
Yue Zhang, Yifan Liu, Imperial College London, United Kingdom; Felix Weninger, Nuance Communications, Germany; Björn Schuller, Imperial College London, United Kingdom
SP-L7.3: RANKING EMOTIONAL ATTRIBUTES WITH DEEP NEURAL NETWORKS
Srinivas Parthasarathy, Reza Lotfian, Carlos Busso, The University of Texas at Dallas, United States
SP-L7.4: ENSEMBLE FEATURE SELECTION FOR DOMAIN ADAPTATION IN SPEECH EMOTION RECOGNITION
Mohammed Abdelwahab, Carlos Busso, The University of Texas at Dallas, United States
SP-L7.5: PREDICTION-BASED LEARNING FOR CONTINUOUS EMOTION RECOGNITION IN SPEECH
Jing Han, Zixing Zhang, University of Passau, Germany; Fabien Ringeval, University of Grenoble Alpes, France; Björn Schuller, University of Passau, Germany
SP-L7.6: PREDICTING DIALOGUE SUCCESS, NATURALNESS, AND LENGTH WITH ACOUSTIC FEATURES
Alexandros Papangelis, Margarita Kotti, Yannis Stylianou, Toshiba Research Europe Ltd., United Kingdom
SP-L8.1: JOINT OPTIMISATION OF TANDEM SYSTEMS USING GAUSSIAN MIXTURE DENSITY NEURAL NETWORK DISCRIMINATIVE SEQUENCE TRAINING
Chao Zhang, Phil Woodland, Cambridge University, United Kingdom
SP-L8.2: VISUAL FEATURES FOR CONTEXT-AWARE SPEECH RECOGNITION
Abhinav Gupta, Yajie Miao, Leonardo Neves, Florian Metze, Carnegie Mellon University, United States
SP-L8.3: EXPLOITING SEQUENTIAL LOW-RANK FACTORIZATION FOR MULTILINGUAL DNNS
Reza Sahraeian, Dirk Van Compernolle, KU Leuven, Belgium
SP-L8.4: LOW-RESOURCE GRAPHEME-TO-PHONEME CONVERSION USING RECURRENT NEURAL NETWORKS
Preethi Jyothi, Indian Institute of Technology Bombay, India; Mark Hasegawa-Johnson, University of Illinois at Urbana-Champaign, United States
SP-L8.5: AN INVESTIGATION INTO LEARNING EFFECTIVE SPEAKER SUBSPACES FOR ROBUST UNSUPERVISED DNN ADAPTATION
Lahiru Samarakoon, National University of Singapore, Singapore; Khe Chai Sim, Google Inc., United States; Brian Mak, Hong Kong University of Science and Technology, Hong Kong SAR of China
SP-L8.6: EXTENDED LOW-RANK PLUS DIAGONAL ADAPTATION FOR DEEP AND RECURRENT NEURAL NETWORKS
Yong Zhao, Jinyu Li, Kshitiz Kumar, Yifan Gong, Microsoft, United States
SP-L9.1: INTERPRETABLE PHONOLOGICAL FEATURES FOR CLINICAL APPLICATIONS
Yishan Jiao, Visar Berisha, Julie Liss, Arizona State University, United States
SP-L9.2: OBJECTIVE ASSESSMENT OF PATHOLOGICAL SPEECH USING DISTRIBUTION REGRESSION
Ming Tu, Visar Berisha, Julie Liss, Arizona State University, United States
SP-L9.3: ENGAGEMENT DETECTION FOR CHILDREN WITH AUTISM SPECTRUM DISORDER
Arodami Chorianopoulou, Technical University of Crete, Greece; Efthymios Tzinis, Elias Iosif, National Technical University of Athens, Greece; Asimenia Papoulidi, Panteion University, Greece; Christina Papailiou, University of the Aegean, Greece; Alexandros Potamianos, National Technical University of Athens, Greece
SP-L9.4: CLASSIFICATION OF VOICE MODES USING NECK-SURFACE ACCELEROMETER DATA
Michal Borsky, Marion Cocude, Reykjavik University, Iceland; Daryush Mehta, Massachusetts General Hospital, United States; Matias Zanartu, Universidad Técnica Federico Santa María, Chile; Jon Gudnason, Reykjavik University, Iceland
SP-L9.5: EFFECT OF ACOUSTIC CONDITIONS ON ALGORITHMS TO DETECT PARKINSON’S DISEASE FROM SPEECH
Juan Camilo Vásquez-Correa, University of Antioquia, Colombia; Joan Serrà, Telefonica Research, Spain; Juan Rafael Orozco-Arroyave, Jesus Francisco Vargas-Bonilla, University of Antioquia, Colombia; Elmar Noeth, Friedrich Alexander Universitat Erlangen-Nuremberg, Germany
SP-L9.6: AUTOMATIC ASSESSMENT OF DYSARTHRIA SEVERITY LEVEL USING AUDIO DESCRIPTORS
Chitralekha Bhat, Bhavik Vachhani, Sunil Kopparapu, Tata Consultancy Services Private Limited, India
SP-P1.1: A COMPARATIVE STUDY OF ACOUSTIC-TO-ARTICULATORY INVERSION FOR NEUTRAL AND WHISPERED SPEECH
Aravind Illa, Nisha Meenakshi G, Prasanta Kumar Ghosh, Indian Institute of Science, India
SP-P1.2: THREE DIMENSIONAL ULTRASOUND IMAGING OF PRE- AND POST-VOCALIC LIQUID CONSONANTS IN AMERICAN ENGLISH: PRELIMINARY OBSERVATIONS
Kelly Berkson, Kenneth de Jong, Steven Lulich, Indiana University, United States
SP-P1.3: A NON-INTRUSIVE SHORT-TIME OBJECTIVE INTELLIGIBILITY MEASURE
Asger Heidemann Andersen, Aalborg University & Oticon A/S, Denmark; Jan Mark de Haan, Oticon A/S, Denmark; Zheng-Hua Tan, Aalborg University, Denmark; Jesper Jensen, Aalborg University & Oticon A/S, Denmark
SP-P1.4: ON THE IMPACT OF NON-MODAL PHONATION ON PHONOLOGICAL FEATURES
Milos Cernak, Idiap research institute, Switzerland; Elmar Nöth, FAU Erlangen-Nuremberg, Germany; Frank Rudzicz, University of Toronto, Canada; Heidi Christensen, University of Sheffield, United Kingdom; Juan Rafael Orozco-Arroyave, Universidad de Antioquia Medellin, Colombia; Raman Arora, Johns Hopkins University, United States; Tobias Bocklet, Intel Corporation, Germany; Hamidreza Chinaei, University of Toronto, Canada; Julius Hannink, FAU Erlangen-Nuremberg, Germany; Phani Sankar Nidadavolu, Johns Hopkins University, United States; Juan Camilo Vásquez-Correa, Universidad de Antioquia Medellin, Colombia; Maria Yancheva, University of Toronto, Canada; Alyssa Vann, Stanford University, United States; Nikolai Vogler, University of California, Irvine, United States
SP-P1.5: VID2SPEECH: SPEECH RECONSTRUCTION FROM SILENT VIDEO
Ariel Ephrat, Shmuel Peleg, The Hebrew University of Jerusalem, Israel
SP-P1.6: A MULTIPLE BANDWIDTH OBJECTIVE SPEECH INTELLIGIBILITY ESTIMATOR BASED ON ARTICULATION INDEX BAND CORRELATIONS AND ATTENTION
Stephen Voran, Institute for Telecommunication Sciences, United States
SP-P1.7: MACHINE LEARNING BASED NON-INTRUSIVE QUALITY ESTIMATION WITH AN AUGMENTED FEATURE SET
Mona Hakami, W. Bastiaan Kleijn, Victoria University of Wellington, New Zealand
SP-P1.8: EAMR: WIDEBAND SPEECH OVER LEGACY NARROWBAND NETWORKS
Stephane Villette, Sen Li, Pravin Ramadas, Sinder Daniel J., Qualcomm Technologies, Inc., United States
SP-P1.9: GLOBAL VARIANCE IN SPEECH SYNTHESIS WITH LINEAR DYNAMICAL MODELS
Vassilis Tsiaras, Technical University of Crete, Greece; Ranniery Maia, Toshiba Research Europe Ltd., United Kingdom; Vassilis Diakoloukas, Technical University of Crete, Greece; Yannis Stylianou, Toshiba Research Europe Ltd., United Kingdom; Vassilis Digalakis, Technical University of Crete, Greece
SP-P1.10: NON-NEGATIVE TEMPORAL DECOMPOSITION REGULARIZATION WITH AN AUGMENTED LAGRANGIAN
Miguel Arjona Ramírez, University of São Paulo, Brazil
SP-P2.1: A FIRST LOOK INTO A CONVOLUTIONAL NEURAL NETWORK FOR SPEECH EMOTION DETECTION
Dario Bertero, Pascale Fung, The Hong Kong University of Science and Technology, Hong Kong SAR of China
SP-P2.2: EFFECTIVE EMOTION RECOGNITION IN MOVIE AUDIO TRACKS
Margarita Kotti, Yannis Stylianou, Toshiba Research Europe Ltd., United Kingdom
SP-P2.3: MOOD DETECTION FROM DAILY CONVERSATIONAL SPEECH USING DENOISING AUTOENCODER AND LSTM
Kun-Yi Huang, Chung-Hsien Wu, Ming-Hsiang Su, Hsiang-Chi Fu, National Cheng Kung University, Taiwan
SP-P2.4: AUTOMATIC DYNAMIC TEMPLATE TRACKING OF INNER LIPS BASED ON CLNF
Li Liu, Gang Feng, Denis Beautemps, Gipsa-lab, France, France
SP-P2.5: BIOLOGICALLY INSPIRED SPEECH EMOTION RECOGNITION
Reza Lotfidereshgi, Philippe Gournay, Université de Sherbrooke, Canada
SP-P2.6: DETECTING STRESS AND DEPRESSION IN ADULTS WITH APHASIA THROUGH SPEECH ANALYSIS
Stephanie Gillespie, Elliot Moore II, Georgia Institute of Technology, United States; Jacqueline Laures-Gore, Matthew Farina, Georgia State University, United States; Scott Russell, Grady Memorial Hospital, United States; Yash-Yee Logan, Georgia Institute of Technology, United States
SP-P2.7: A PLLR AND MULTI-STAGE STAIRCASE REGRESSION FRAMEWORK FOR SPEECH-BASED EMOTION PREDICTION
Zhaocheng Huang, Julien Epps, The University of New South Wales, Australia
SP-P2.8: LEARNING UTTERANCE-LEVEL REPRESENTATIONS FOR SPEECH EMOTION AND AGE/GENDER RECOGNITION USING DEEP NEURAL NETWORKS
Zhong-Qiu Wang, The Ohio State University, United States; Ivan J. Tashev, Microsoft Research, United States
SP-P2.9: AUTOMATIC MULTI-LINGUAL AROUSAL DETECTION FROM VOICE APPLIED TO REAL PRODUCT TESTING APPLICATIONS
Florian Eyben, audEERING GmbH, Germany; Matthias Unfried, GfK-Nuernberg e.V., Germany; Gerhard Hagerer, University of Passau, Germany; Björn Schuller, Imperial College London, Germany
SP-P2.10: INCREMENTAL ADAPTATION USING ACTIVE LEARNING FOR ACOUSTIC EMOTION RECOGNITION
Mohammed Abdelwahab, Carlos Busso, The University of Texas at Dallas, United States
SP-P3.1: PERSONALIZED ACOUSTIC MODELING BY WEAKLY SUPERVISED MULTI-TASK DEEP LEARNING USING ACOUSTIC TOKENS DISCOVERED FROM UNLABELED DATA
Cheng-Kuan Wei, Cheng-Tao Chung, Hung-Yi Lee, Lin-Shan Lee, National Taiwan University, Taiwan
SP-P3.2: UNSUPERVISED UTTERANCE-WISE BEAMFORMER ESTIMATION WITH SPEECH RECOGNITION-LEVEL CRITERION
Takuya Higuchi, Takuya Yoshioka, Keisuke Kinoshita, Tomohiro Nakatani, NTT Corporation, Japan
SP-P3.3: CUMULATIVE MOVING AVERAGED BOTTLENECK SPEAKER VECTORS FOR ONLINE SPEAKER ADAPTATION OF CNN-BASED ACOUSTIC MODELS
Tsubasa Ochiai, NTT Corporation / Doshisha University, Japan; Marc Delcroix, Keisuke Kinoshita, Atsunori Ogawa, Taichi Asami, NTT Corporation, Japan; Shigeru Katagiri, Doshisha University, Japan; Tomohiro Nakatani, NTT Corporation, Japan
SP-P3.4: UNSUPERVISED ADAPTATION FOR DEEP NEURAL NETWORKS USING ALTERNATING DIRECTION METHOD OF MULTIPLIERS
Roger Hsiao, Tim Ng, Man-Hung Siu, Raytheon BBN Technologies, United States
SP-P3.5: DOMAIN ADAPTATION OF DNN ACOUSTIC MODELS USING KNOWLEDGE DISTILLATION
Taichi Asami, Ryo Masumura, Yoshikazu Yamaguchi, Hirokazu Masataki, Yushi Aono, NTT Corporation, Japan
SP-P3.6: EFFECTIVE JOINT TRAINING OF DENOISING FEATURE SPACE TRANSFORMS AND NEURAL NETWORK BASED ACOUSTIC MODELS
Takashi Fukuda, Osamu Ichikawa, Gakuto Kurata, Ryuki Tachibana, IBM Research - Tokyo, Japan; Samuel Thomas, Bhuvana Ramabhadran, IBM T.J. Watson Research Center, United States
SP-P3.7: HARMONIC FEATURE FUSION FOR ROBUST NEURAL NETWORK-BASED ACOUSTIC MODELING
Osamu Ichikawa, Takashi Fukuda, Masayuki Suzuki, Gakuto Kurata, IBM Research - Tokyo, Japan; Bhuvana Ramabhadran, IBM T.J. Watson Research Center, United States
SP-P3.8: TOWARDS PHONEME INVENTORY DISCOVERY FOR DOCUMENTATION OF UNWRITTEN LANGUAGES
Markus Müller, Jörg Franke, Alex Waibel, Sebastian Stüker, Karlsruhe Institute of Technology, Germany
SP-P3.9: JOINT MODELING OF ARTICULATORY AND ACOUSTIC SPACES FOR CONTINUOUS SPEECH RECOGNITION TASKS
Vikramjit Mitra, SRI International, United States; Ganesh Sivaraman, University of Maryland, United States; Chris Bartels, SRI International, United States; Hosung Nam, Korea University, Republic of Korea; Wen Wang, SRI International, United States; Carol Espy-Wilson, University of Maryland, United States; Dimitra Vergyri, Horacio Franco, SRI International, United States
SP-P4.1: ROBUST AUTOMATIC RECOGNITION OF SPEECH WITH BACKGROUND MUSIC
Jiri Malek, Jindrich Zdansky, Petr Cerva, Technical University of Liberec, Czech Republic
SP-P4.2: SPEECH RECOGNITION IN UNSEEN AND NOISY CHANNEL CONDITIONS
Vikramjit Mitra, Horacio Franco, Chris Bartels, Julien van Hout, Martin Graciarena, Dimitra Vergyri, SRI International, United States
SP-P4.3: A STUDY ON DATA AUGMENTATION OF REVERBERANT SPEECH FOR ROBUST SPEECH RECOGNITION
Tom Ko, Huawei Noah’s Ark Research Lab, Hong Kong SAR of China; Vijayaditya Peddinti, Daniel Povey, Johns Hopkins University, United States; Michael L. Seltzer, Microsoft Research, Redmond, United States; Sanjeev Khudanpur, Johns Hopkins University, United States
SP-P4.4: ENHANCING NOISE AND PITCH ROBUSTNESS OF CHILDREN'S ASR
Syed Shahnawazuddin, National Institute of Technology Patna, India; Deepak K.T., Indian Institute of Information Technology Dharwad, India; Gayadhar Pradhan, National Institute of Technology Patna, India; Rohit Sinha, Indian Institute of Technology Guwahati, India
SP-P4.5: A MODULATION FEATURE SET FOR ROBUST AUTOMATIC SPEECH RECOGNITION IN ADDITIVE NOISE AND REVERBERATION
Xiaoyu Liu, Roozbeh Sadeghian, Stephen Zahorian, Binghamton University, United States
SP-P4.6: ROBUST FRONT-END PROCESSING FOR SPEECH RECOGNITION IN NOISY CONDITIONS
Biswajit Das, Ashish Panda, Tata Consultancy Services Limited, India
SP-P4.7: FEEDBACK CONNECTION FOR DEEP NEURAL NETWORK-BASED ACOUSTIC MODELING
Dung T. Tran, Marc Delcroix, Atsunori Ogawa, NTT Corporation, Japan; Christian Huemmer, University of Erlangen Nuremberg, Germany; Tomohiro Nakatani, NTT Corporation, Japan
SP-P4.8: INTEGRATED DNN-BASED MODEL ADAPTATION TECHNIQUE FOR NOISE-ROBUST SPEECH RECOGNITION
Kang Hyun Lee, Woo Hyun Kang, Tae Gyoon Kang, Nam Soo Kim, Seoul National University, Republic of Korea
SP-P4.9: ON DNN POSTERIOR PROBABILITY COMBINATION IN MULTI-STREAM SPEECH RECOGNITION FOR REVERBERANT ENVIRONMENTS
Feifei Xiong, Stefan Goetze, Fraunhofer IDMT/HSA, Germany; Bernd T. Meyer, Johns Hopkins University, United States
SP-P4.10: DNN-BASED FEATURE ENHANCEMENT USING DOA-CONSTRAINED ICA FOR ROBUST SPEECH RECOGNITION
Ho-Yong Lee, Ji-Won Cho, Minook Kim, Hyung-Min Park, Sogang University, Korea (South)
SP-P5.1: THE MICROSOFT 2016 CONVERSATIONAL SPEECH RECOGNITION SYSTEM
Wayne Xiong, Jasha Droppo, Xuedong Huang, Frank Seide, Michael L. Seltzer, Andreas Stolcke, Dong Yu, Geoffrey Zweig, Microsoft, United States
SP-P5.2: PARALLEL PHONETICALLY AWARE DNNS AND LSTM-RNNS FOR FRAME-BY-FRAME DISCRIMINATIVE MODELING OF SPOKEN LANGUAGE IDENTIFICATION
Ryo Masumura, Taichi Asami, Hirokazu Masataki, Yushi Aono, NTT Corporation, Japan
SP-P5.3: LOW-RANK AND SPARSE SOFT TARGETS TO LEARN BETTER DNN ACOUSTIC MODELS
Pranay Dighe, IDIAP/EPFL, Switzerland; Afsaneh Asaei, Idiap Research Institute, Switzerland; Herve Bourlard, IDIAP/EPFL, Switzerland
SP-P5.4: SEMI-SUPERVISED ENSEMBLE DNN ACOUSTIC MODEL TRAINING
Sheng Li, School of Informatics, Kyoto University, Japan; Xugang Lu, National Institute of Information and Communications Technology, Japan; Shinsuke Sakai, Masato Mimura, Tatsuya Kawahara, School of Informatics, Kyoto University, Japan
SP-P5.5: STUDENT-TEACHER NETWORK LEARNING WITH ENHANCED FEATURES
Shinji Watanabe, Takaaki Hori, Jonathan Le Roux, John R. Hershey, Mitsubishi Electric Research Laboratories, United States
SP-P5.6: END-TO-END SPEECH RECOGNITION AND KEYWORD SEARCH ON LOW-RESOURCE LANGUAGES
Andrew Rosenberg, Kartik Audhkhasi, Abhinav Sethy, Bhuvana Ramabhadran, Michael Picheny, IBM, United States
SP-P5.7: FASTER SEQUENCE TRAINING
Albert Zeyer, Ilia Kulikov, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany
SP-P5.8: ALTERNATIVE NETWORKS FOR MONOLINGUAL BOTTLENECK FEATURES
William Hartmann, Roger Hsiao, Stavros Tsakalidis, Raytheon BBN Technologies, United States
SP-P5.9: NETWORK ARCHITECTURES FOR MULTILINGUAL SPEECH REPRESENTATION LEARNING
Tom Sercu, George Saon, Jia Cui, Xiadong Cui, Bhuvana Ramabhadran, Brian Kingsbury, Abhinav Sethy, IBM T.J. Watson Research Center, United States
SP-P5.10: RECURRENT CONVOLUTIONAL NEURAL NETWORK FOR SPEECH PROCESSING
Yue Zhao, Xingyu Jin, Xiaolin Hu, Tsinghua University, China
SP-P6.1: AN EMPIRICAL EVALUATION OF ZERO RESOURCE ACOUSTIC UNIT DISCOVERY
Chunxi Liu, Johns Hopkins University, United States; Jinyi Yang, University of Chinese Academy of Sciences, China; Ming Sun, Amazon, United States; Santosh Kesiraju, International Institute of Information Technology, India; Alena Rott, Stanford University, United States; Lucas Ondel, Brno University of Technology, Czech Republic; Pegah Ghahremani, Najim Dehak, Johns Hopkins University, United States; Lukas Burget, Brno University of Technology, Czech Republic; Sanjeev Khudanpur, Johns Hopkins University, United States
SP-P6.2: STATISTICAL NORMALISATION OF PHASE-BASED FEATURE REPRESENTATION FOR ROBUST SPEECH RECOGNITION
Erfan Loweimi, Jon Barker, Thomas Hain, The University of Sheffield, United Kingdom
SP-P6.3: ACTIVE LEARNING FOR LOW-RESOURCE SPEECH RECOGNITION: IMPACT OF SELECTION SIZE AND LANGUAGE MODELING DATA
Ali Syed, The Graduate Center, CUNY, United States; Andrew Rosenberg, IBM T.J. Watson Research Center, United States; Michael Mandel, The Graduate Center, CUNY, United States
SP-P6.4: MICROPHONE ARRAY PROCESSING STRATEGIES FOR DISTANT BASED AUTOMATIC SPEECH RECOGNITION
John H.L. Hansen, Soudeh A. Khoubrouy, The University of Texas at Dallas, United States
SP-P6.5: IMPROVING AUDIO-VISUAL SPEECH RECOGNITION USING DEEP NEURAL NETWORKS WITH DYNAMIC STREAM RELIABILITY ESTIMATES
Hendrik Meutzner, Ruhr-Universität Bochum, Germany; Ning Ma, University of Sheffield, United Kingdom; Robert Nickel, Bucknell University, United States; Christopher Schymura, Dorothea Kolossa, Ruhr-Universität Bochum, Germany
SP-P6.6: BEAMNET: END-TO-END TRAINING OF A BEAMFORMER-SUPPORTED MULTI-CHANNEL ASR SYSTEM
Jahn Heymann, Lukas Drude, Christoph Boeddeker, Patrick Hanebrink, Reinhold Haeb-Umbach, Paderborn University, Germany
SP-P6.7: PREDICTING ERROR RATES FOR UNKNOWN DATA IN AUTOMATIC SPEECH RECOGNITION
Bernd T. Meyer, Sri Harish Mallidi, Johns Hopkins University, United States; Hendrik Kayser, Carl von Ossietzky Universität Oldenburg, Germany; Hynek Hermansky, Johns Hopkins University, United States
SP-P6.8: SPEEDING UP SOFTMAX COMPUTATIONS IN DNN-BASED LARGE VOCABULARY SPEECH RECOGNITION BY SENONE WEIGHT VECTOR SELECTION
Yingke Zhu, Brian Mak, The Hong Kong University of Science & Technology, Hong Kong SAR of China
SP-P6.9: IMPROVING LATENCY-CONTROLLED BLSTM ACOUSTIC MODELS FOR ONLINE SPEECH RECOGNITION
Shaofei Xue, Zhijie Yan, Alibaba Inc, China
SP-P6.10: RETURNN: THE RWTH EXTENSIBLE TRAINING FRAMEWORK FOR UNIVERSAL RECURRENT NEURAL NETWORKS
Patrick Doetsch, Albert Zeyer, Paul Voigtlaender, Ilia Kulikov, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany
SP-P7.1: OPTIMIZING SPEAKER-SPECIFIC FILTER BANKS FOR SPEAKER VERIFICATION
Hector Pinheiro, Fernando Neto, Adriano Oliveira, Tsang Ing Ren, George Cavalcanti, Universidade Federal de Pernambuco, Brazil; André Adami, Universidade de Caxias do Sul, Brazil
SP-P7.2: EXPLORING UNIVERSAL SPEECH ATTRIBUTES FOR SPEAKER VERIFICATION
Sheng Zhang, Wu Guo, University of Science and Technology of China, China; Guoping Hu, Ministry of Public Security, China
SP-P7.3: EFFECTS OF GENDER INFORMATION IN TEXT-INDEPENDENT AND TEXT-DEPENDENT SPEAKER VERIFICATION
Anssi Kanervisto, Ville Vestman, Md Sahidullah, Ville Hautamäki, Tomi Kinnunen, University of Eastern Finland, Finland
SP-P7.4: INTRA-CLASS COVARIANCE ADAPTATION IN PLDA BACK-ENDS FOR SPEAKER VERIFICATION
Srikanth Madikeri, Marc Ferras, Petr Motlicek, Subhadeep Dey, Idiap Research Institute, Switzerland
SP-P7.5: EXPLOITING SEQUENCE INFORMATION FOR TEXT-DEPENDENT SPEAKER VERIFICATION
Subhadeep Dey, Petr Motlicek, Srikanth Madikeri, Marc Ferras, Idiap Research Institute, Switzerland
SP-P7.6: DISCRIMINATIVE AUTOENCODERS FOR SPEAKER VERIFICATION
Hung-Shin Lee, National Taiwan University, Taiwan; Yu-Ding Lu, Chin-Cheng Hsu, Yu Tsao, Hsin-Min Wang, Academia Sinica, Taiwan; Shyh-Kang Jeng, National Taiwan University, Taiwan
SP-P7.7: ADAPTATION OF PLDA FOR MULTI-SOURCE TEXT-INDEPENDENT SPEAKER VERIFICATION
Liping Chen, Microsoft, China; KongAik Lee, Bin Ma, Agency for Science, Technology and Research, Singapore; Long Ma, Microsoft, China; Haizhou Li, Agency for Science, Technology and Research, Singapore; Li-Rong Dai, University of Science and Technology of China, China
SP-P7.8: FACTOR ANALYSIS METHODS FOR JOINT SPEAKER VERIFICATION AND SPOOF DETECTION
Dhanush Kannangola, Learning and Extraction of Acoustic Patterns (LEAP) labs,, India; Suparna S, Indian Institute of Technology Madras, India; Aarthy Ramesh, National Institute of Technology, Trichy, India; Likhita Chandrasekhara, Shashank Dhar, National Institute of Technology, Karnataka, Surathkal, India; Harish Haresamudram, Sriram Ganapathy, Learning and Extraction of Acoustic Patterns (LEAP) labs,, India
SP-P7.9: JOINT BAYESIAN GAUSSIAN DISCRIMINANT ANALYSIS FOR SPEAKER VERIFICATION
Yiyan Wang, Haotian Xu, Zhijian Ou, Tsinghua University, China
SP-P7.10: REDDOTS REPLAYED: A NEW REPLAY SPOOFING ATTACK CORPUS FOR TEXT-DEPENDENT SPEAKER VERIFICATION RESEARCH
Tomi Kinnunen, Md Sahidullah, University of Eastern Finland, Finland; Mauro Falcone, Luca Costantini, Fondazione Ugo Bordoni, Italy; Rosa Gonzalez Hautamäki, University of Eastern Finland, Finland; Dennis Thomsen, Achintya Sarkar, Zheng-Hua Tan, Aalborg University, Denmark; Hector Delgado, Massimiliano Todisco, Nicholas Evans, Eurecom, France; Ville Hautamäki, University of Eastern Finland, Finland; KongAik Lee, Institute for Infocomm Research (I2R), A*STAR, Singapore
SP-P8.1: INTER DATASET VARIABILITY MODELING FOR SPEAKER RECOGNITION
Hagai Aronowitz, IBM Research - Haifa, Israel
SP-P8.2: SPEAKER RECOGNITION USING COMMON PASSPHRASES IN REDDOTS
Hagai Aronowitz, IBM Research - Haifa, Israel
SP-P8.3: I-VECTOR/PLDA SPEAKER RECOGNITION USING SUPPORT VECTORS WITH DISCRIMINANT ANALYSIS
Fahimeh Bahmaninezhad, John H.L. Hansen, The University of Texas at Dallas, United States
SP-P8.4: ROBUST SPEAKER RECOGNITION BASED ON DNN/I-VECTORS AND SPEECH SEPARATION
Jorge Chang, DeLiang Wang, The Ohio State University, United States
SP-P8.5: SPEAKER SEGMENTATION USING DEEP SPEAKER VECTORS FOR FAST SPEAKER CHANGE SCENARIOS
Renyu Wang, Mingliang Gu, Jiangsu Normal University, China; Lantian Li, Mingxing Xu, Thoms Fang Zheng, Tsinghua University, China
SP-P8.6: MULTI-SPEAKER CONVERSATIONS, CROSS-TALK, AND DIARIZATION FOR SPEAKER RECOGNITION
Gregory Sell, Alan McCree, Johns Hopkins University, United States
SP-P8.7: TRISTOUNET: TRIPLET LOSS FOR SPEAKER TURN EMBEDDING
Hervé Bredin, CNRS, LIMSI, France
SP-P8.8: E–VECTORS: JFA AND I–VECTORS REVISITED
Sandro Cumani, Pietro Laface, Politecnico di Torino, Italy
SP-P8.9: DEEP NEURAL NETWORKS BASED SPEAKER MODELING AT DIFFERENT LEVELS OF PHONETIC GRANULARITY
Yao Tian, Liang He, Tsinghua University, China; Meng Cai, Microsoft Research Asia, China; Wei-Qiang Zhang, Jia Liu, Tsinghua University, China
SP-P9.1: FEATURE MAPPING FOR SPEAKER DIARIZATION IN NOISY CONDITIONS
Weixin Zhu, Wu Guo, University of Science and Technology of China, China; Guoping Hu, Ministry of Public Security, China
SP-P9.2: ENVIRONMENT AWARE SPEAKER DIARIZATION FOR MOVING TARGETS USING PARALLEL DNN-BASED RECOGNIZERS
Maryam Najafian, John H.L. Hansen, The University of Texas at Dallas, United States
SP-P9.3: SPEAKER SEGMENTATION USING I-VECTOR IN MEETINGS DOMAIN
Leonardo Valeriano Neri, Hector Pinheiro, Tsang Ren, George Cavalcanti, Universidade Federal de Pernambuco, Brazil; André Adami, Universidade de Caxias do Sul, Brazil
SP-P9.4: SPEECH ACTIVITY DETECTION IN ONLINE BROADCAST TRANSCRIPTION USING DEEP NEURAL NETWORKS AND WEIGHTED FINITE STATE TRANSDUCERS
Lukas Mateju, Petr Cerva, Jindrich Zdansky, Jiri Malek, Technical University of Liberec, Czech Republic
SP-P9.5: DIVIDE-AND-WARP TEMPORAL ALIGNMENT OF SPEECH SIGNALS BETWEEN SPEAKERS: VALIDATION USING ARTICULATORY DATA
Sai Muralidhar Jayanthi, Indian Institute of Technology Guwahati, India; Lucie Ménard, University of Québec in Montreal, Canada; Catherine Laporte, École de Technologie Supérieure, Canada
SP-P9.6: DIRICHLET PROCESS MIXTURE MODELS FOR CLUSTERING I-VECTOR DATA
Shreyas Seshadri, Ulpu Remes, Okko Räsänen, Aalto University, Finland
SP-P9.7: MODIFICATION ON LSA SPEECH ENHANCEMENT FOR SPEECH RECOGNITION
Chang Huai You, Bin Ma, Chongjia Ni, Institute for Infocomm Research (I2R), A*STAR, Singapore
SP-P9.8: A DEEP NEURAL NETWORK INTEGRATED WITH FILTERBANK LEARNING FOR SPEECH RECOGNITION
Hiroshi Seki, Kazumasa Yamamoto, Seiichi Nakagawa, Toyohashi University of Technology, Japan
SP-P9.9: AUTOMATIC NODE SELECTION FOR DEEP NEURAL NETWORKS USING GROUP LASSO REGULARIZATION
Tsubasa Ochiai, Shigeki Matsuda, Doshisha University, Japan; Hideyuki Watanabe, Advanced Telecommunications Research Institute International, Japan; Shigeru Katagiri, Doshisha University, Japan
SP-P9.10: APPLYING COMPENSATION TECHNIQUES ON I-VECTORS EXTRACTED FROM SHORT-TEST UTTERANCES FOR SPEAKER VERIFICATION USING DEEP NEURAL NETWORK
Il-Ho Yang, Hee-Soo Heo, Sung-Hyun Yoon, Ha-Jin Yu, University of Seoul, Republic of Korea
SP-P10.1: DURATION PREDICTION USING MULTIPLE GAUSSIAN PROCESS EXPERTS FOR GPR-BASED SPEECH SYNTHESIS
Decha Moungsri, Tomoki Koriyama, Takao Kobayashi, Tokyo Institute of Technology, Japan
SP-P10.2: COMBINING UNIDIRECTIONAL LONG SHORT-TERM MEMORY WITH CONVOLUTIONAL OUTPUT LAYER FOR HIGH-PERFORMANCE SPEECH SYNTHESIS
Wenfu Wang, Bo Xu, Institute of Automation, Chinese Academy of Sciences, China
SP-P10.3: LOMBARD SPEECH SYNTHESIS USING LONG SHORT-TERM MEMORY RECURRENT NEURAL NETWORKS
Bajibabu Bollepalli, Manu Airaksinen, Paavo Alku, Aalto University, Finland
SP-P10.4: MULTI-TASK LEARNING OF STRUCTURED OUTPUT LAYER BIDIRECTIONAL LSTMS FOR SPEECH SYNTHESIS
Runnan Li, Zhiyong Wu, Tsinghua University, China; Xunying Liu, Helen Meng, The Chinese University of Hong Kong, Hong Kong SAR of China; Lianhong Cai, Tsinghua University, China
SP-P10.5: QUALITY ASSESSMENT OF VOICE CONVERTED SPEECH USING ARTICULATORY FEATURES
Avni Rajpal, Nirmesh Shah, Dhirubhai Ambani Institute of Information and Communication Technology, India; Mohammadi Zaki, Indian Institute of Science, India; Hemant Patil, Dhirubhai Ambani Institute of Information and Communication Technology, India
SP-P10.6: NOVEL AMPLITUDE SCALING METHOD FOR BILINEAR FREQUENCY WARPING-BASED VOICE CONVERSION
Nirmesh Shah, Hemant Patil, Dhirubhai Ambani Institute of Information and Communication Technology, India
SP-P10.7: EXEMPLAR SELECTION METHODS IN VOICE CONVERSION
Guanlong Zhao, Ricardo Gutierrez-Osuna, Texas A&M University, United States
SP-P10.8: VOICE-TRANSFORMATION-BASED DATA AUGMENTATION FOR PROSODIC CLASSIFICATION
Raul Fernandez, Andrew Rosenberg, IBM, United States; Alexander Sorin, IBM Haifa Research Lab, Israel; Bhuvana Ramabhadran, IBM, United States; Ron Hoory, IBM Haifa Research Lab, Israel
SP-P10.9: NON-PARALLEL VOICE CONVERSION USING I-VECTOR PLDA: TOWARDS UNIFYING SPEAKER VERIFICATION AND TRANSFORMATION
Tomi Kinnunen, University of Eastern Finland, Finland; Lauri Juvela, Paavo Alku, Aalto University, Finland; Junichi Yamagishi, National Institute of Informatics, Japan
SP-P10.10: A STUDY OF SPEAKER VERIFICATION PERFORMANCE WITH EXPRESSIVE SPEECH
Srinivas Parthasarathy, Chunlei Zhang, John H.L. Hansen, Carlos Busso, The University of Texas at Dallas, United States
SP-P11.1: SPEECH TEMPORAL DYNAMICS FUSION APPROACHES FOR NOISE-ROBUST REVERBERATION TIME ESTIMATION
Mohammed Senoussaoui, École de Technologie Supérieure, Canada; Joao Felipe Santos, Tiago Henrique Falk, Institut National de la Recherche Scientifique, Canada
SP-P11.2: ARTIFICIAL BANDWIDTH EXTENSION USING THE CONSTANT Q TRANSFORM
Pramod Bachhav, Massimiliano Todisco, Eurecom, France; Moctar Mossi, Christophe Beaugeant, Intel Corporation, France; Nicholas Evans, Eurecom, France
SP-P11.3: A LOCALLY LINEAR EMBBEDING BASED POSTFILTERING APPROACH FOR SPEECH ENHANCEMENT
Yi-Chiao Wu, Hsin-Te Hwang, Syu-Siang Wang, Chin-Cheng Hsu, Academia Sinica, Taiwan; Ying-Hui Lai, Yuan Ze University, Taiwan; Yu Tsao, Hsin-Min Wang, Academia Sinica, Taiwan
SP-P11.4: PHASE RECONSTRUCTION METHOD BASED ON TIME-FREQUENCY DOMAIN HARMONIC STRUCTURE FOR SPEECH ENHANCEMENT
Yukoh Wakabayashi, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura, Yoichi Yamashita, Ritsumeikan University, Japan
SP-P11.5: SPEECH ENHANCEMENT BASED ON DEEP NEURAL NETWORKS WITH SKIP CONNECTIONS
Ming Tu, Arizona State University, United States; Xianxian Zhang, LG Electronics, United States
SP-P11.6: ICA BASED SINGLE MICROPHONE BLIND SPEECH SEPARATION TECHNIQUE USING NON-LINEAR ESTIMATION OF SPEECH
Chandan Karadagur Ananda Reddy, Anshuman Ganguly, Issa Panahi, The University of Texas at Dallas, United States
SP-P11.7: A TRANSFER LEARNING AND PROGRESSIVE STACKING APPROACH TO REDUCING DEEP MODEL SIZES WITH AN APPLICATION TO SPEECH ENHANCEMENT
Sicheng Wang, Kehuang Li, Zhen Huang, Georgia Institute of Technology, United States; Sabato Marco Siniscalchi, University of Enna Kore, Italy; Chin-Hui Lee, Georgia Institute of Technology, United States
SP-P11.8: A TWO-STAGE ALGORITHM FOR NOISY AND REVERBERANT SPEECH ENHANCEMENT
Yan Zhao, Zhong-Qiu Wang, DeLiang Wang, The Ohio State University, United States
SP-P11.9: PHASE ESTIMATION IN SINGLE-CHANNEL SPEECH ENHANCEMENT USING PHASE INVARIANCE CONSTRAINTS
Michael Pirolt, Johannes Stahl, Pejman Mowlaee, Graz University of Technology, Austria; Vasili Vorobiov, Siarhei Barysenka, Andrew Davydov, Belarusian State University of Informatics and Radioelectronics, Austria
SP-P11.10: SPEECH DEREVERBERATION AND DENOISING USING COMPLEX RATIO MASKS
Donald Williamson, Indiana University, United States; DeLiang Wang, The Ohio State University, United States
SP-P12.1: FAST ALGORITHM FOR STATISTICAL PHRASE/ACCENT COMMAND ESTIMATION BASED ON GENERATIVE MODEL INCORPORATING SPECTRAL FEATURES
Ryotaro Sato, The University of Tokyo, Japan; Hirokazu Kameoka, Kunio Kashino, NTT Corporation, Japan
SP-P12.2: TIME AND FREQUENCY DOMAIN LONG SHORT-TERM MEMORY FOR NOISE ROBUST PITCH TRACKING
Yuzhou Liu, DeLiang Wang, The Ohio State University, United States
SP-P12.3: TOWARDS CONFIDENCE MEASURES ON FUNDAMENTAL FREQUENCY ESTIMATIONS
Boyuan Deng, Denis Jouvet, Yves Laprie, LORIA - INRIA, France; Ingmar Steiner, Saarland University, Germany; Aghilas Sini, LORIA - INRIA, France
SP-P12.4: SPEECH POLARITY DETECTION USING STRENGTH OF IMPULSE-LIKE EXCITATION EXTRACTED FROM SPEECH EPOCHS
Sudarsana Reddy Kadiri, Indian Institute of Technology Hyderabad, India; Yegnanarayana Bayya, Birla Institute of Technology & Science Pilani, Hyderabad-500078, India., India
SP-P12.5: LEARNING CROSS-LINGUAL KNOWLEDGE WITH MULTILINGUAL BLSTM FOR EMPHASIS DETECTION WITH LIMITED TRAINING DATA
Yishuang Ning, Zhiyong Wu, Runnan Li, Jia Jia, Mingxing Xu, Tsinghua University, China; Helen Meng, The Chinese University of Hong Kong, Hong Kong SAR of China; Lianhong Cai, Tsinghua University, Hong Kong SAR of China
SP-P12.6: UNSUPERVISED LATENT BEHAVIOR MANIFOLD LEARNING FROM ACOUSTIC FEATURES: AUDIO2BEHAVIOR
Haoqi Li, University of Southern California, United States; Brian Baucom, The University of Utah, United States; Panayiotis Georgiou, University of Southern California, United States
SP-P12.7: ON THE INFORMATION RATE OF SPEECH COMMUNICATION
Steven Van Kuyk, W. Bastiaan Kleijn, Victoria University of Wellington, New Zealand; Richard C. Hendriks, Delft University of Technology, Netherlands
SP-P12.8: FREQUENCY-WARPED TIME-WEIGHTED LINEAR PREDICTION FOR GLOTTAL VOCODING
Manu Airaksinen, Bajibabu Bollepalli, Aalto University, Finland; Jouni Pohjalainen, University of Passau, Germany; Paavo Alku, Aalto University, Finland
SP-P12.9: DEREVERBERATION BASED ON BIN-WISE TEMPORAL VARIATIONS OF COMPLEX SPECTROGRAM
Tzu-Hao Chen, Chun Huang, Tai-Shih Chi, National Chiao Tung University, Taiwan
SP-P12.10: AUTOMATIC GAIN CONTROL WITH INTEGRATED SIGNAL ENHANCEMENT FOR SPECIFIED TARGET AND BACKGROUND-NOISE LEVELS
Akihiko Sugiyama, Ryoji Miyahara, NEC Corporation, Japan
HLT-L1.1: PAIRWISE LEARNING USING MULTI-LINGUAL BOTTLENECK FEATURES FOR LOW-RESOURCE QUERY-BY-EXAMPLE SPOKEN TERM DETECTION
Yougen Yuan, Northwestern Polytechnical University, China; Cheung-Chi Leung, Institute for Infocomm Research (I2R), A*STAR, Singapore; Lei Xie, Hongjie Chen, Northwestern Polytechnical University, China; Bin Ma, Haizhou Li, Institute for Infocomm Research (I2R), A*STAR, Singapore
HLT-L1.2: EFFICIENT METHODS TO TRAIN MULTILINGUAL BOTTLENECK FEATURE EXTRACTORS FOR LOW RESOURCE KEYWORD SEARCH
Chongjia Ni, Cheung-Chi Leung, Lei Wang, Nancy F. Chen, Bin Ma, Institute for Infocomm Research (I2R), A*STAR, Singapore
HLT-L1.3: AN LSTM-CTC BASED VERIFICATION SYSTEM FOR PROXY-WORD BASED OOV KEYWORD SEARCH
Zhiqiang Lv, Jian Kang, Wei-Qiang Zhang, Jia Liu, Tsinghua University, China
HLT-L1.4: DISTANCE METRIC LEARNING FOR POSTERIORGRAM BASED KEYWORD SEARCH
Batuhan Gundogdu, Murat Saraclar, Bogazici University, Turkey
HLT-L1.5: A LOCALITY-PRESERVING ESSENCE VECTOR MODELING FRAMEWORK FOR SPOKEN DOCUMENT RETRIEVAL
Kuan-Yu Chen, Shih-Hung Liu, Academia Sinica, Taiwan; Berlin Chen, National Taiwan Normal University, Taiwan; Hsin-Min Wang, Academia Sinica, Taiwan
HLT-L1.6: TRAINABLE FRONTEND FOR ROBUST AND FAR-FIELD KEYWORD SPOTTING
Yuxuan Wang, Pascal Getreuer, Thad Hughes, Richard Lyon, Rif A. Saurous, Google Inc., United States
HLT-L2.1: ENCODER-DECODER WITH FOCUS-MECHANISM FOR SEQUENCE LABELLING BASED SPOKEN LANGUAGE UNDERSTANDING
Su Zhu, Kai Yu, Shanghai Jiao Tong University, China
HLT-L2.2: A DEEP LEARNING APPROACH TO MODELING COMPETITIVENESS IN SPOKEN CONVERSATIONS
Shammur Absar Chowdhury, Giuseppe Riccardi, University of Trento, Italy
HLT-L2.3: SEMANTIC MAPPING OF NATURAL LANGUAGE INPUT TO DATABASE ENTRIES VIA CONVOLUTIONAL NEURAL NETWORKS
Mandy Korpusik, Zachary Collins, James Glass, Massachusetts Institute of Technology, United States
HLT-L2.4: END-TO-END JOINT LEARNING OF NATURAL LANGUAGE UNDERSTANDING AND DIALOGUE MANAGER
Xuesong Yang, University of Illinois at Urbana-Champaign, United States; Yun-Nung Chen, National Taiwan University, Taiwan; Dilek Hakkani-Tür, Google Research, United States; Paul Crook, Microsoft, United States; Xiujun Li, Jianfeng Gao, Li Deng, Microsoft Research, United States
HLT-L2.5: DISCOVERING DIMENSIONS OF PERCEIVED VOCAL EXPRESSION IN SEMI-STRUCTURED, UNSCRIPTED ORAL HISTORY ACCOUNTS
Mary Pietrowicz, Mark Hasegawa-Johnson, Karrie Karahalios, University of Illinois, United States
HLT-L2.6: SEQUENCE-TO-SEQUENCE MODELS FOR PUNCTUATED TRANSCRIPTION COMBINING LEXICAL AND ACOUSTIC FEATURES
Ondrej Klejch, Peter Bell, Steve Renals, University of Edinburgh, United Kingdom
HLT-P1.1: RECURRENT NEURAL NETWORK BASED LANGUAGE MODELING WITH CONTROLLABLE EXTERNAL MEMORY
Wei-Jen Ko, Academia Sinica, Taiwan; Bo-Hsiang Tseng, Hung-Yi Lee, National Taiwan University, Taiwan
HLT-P1.2: A NEURAL NETWORK APPROACH FOR MIXING LANGUAGE MODELS
Youssef Oualil, Dietrich Klakow, Saarland University, Germany
HLT-P1.3: DIALOG CONTEXT LANGUAGE MODELING WITH RECURRENT NEURAL NETWORKS
Bing Liu, Ian Lane, Carnegie Mellon University, United States
HLT-P1.4: CHARACTER-LEVEL LANGUAGE MODELING WITH HIERARCHICAL RECURRENT NEURAL NETWORKS
Kyuyeon Hwang, Wonyong Sung, Seoul National University, Republic of Korea
HLT-P1.5: LEARNING CONCEPTS THROUGH CONVERSATIONS IN SPOKEN DIALOGUE SYSTEMS
Robin Jia, Stanford University, United States; Larry Heck, Dilek Hakkani-Tür, Georgi Nikolov, Google Research, United States
HLT-P1.6: LDA-BASED CONTEXT DEPENDENT RECURRENT NEURAL NETWORK LANGUAGE MODEL USING DOCUMENT-BASED TOPIC DISTRIBUTION OF WORDS
Md. Akmal Haidar, Mikko Kurimo, Aalto University, Finland
HLT-P1.7: EXPLOITING DIFFERENT WORD CLUSTERINGS FOR CLASS-BASED RNN LANGUAGE MODELING IN SPEECH RECOGNITION
Minguang Song, Yunxin Zhao, University of Missouri-Columbia, United States; Shaojun Wang, Wright State University, United States
HLT-P1.8: INVESTIGATIONS ON BYTE-LEVEL CONVOLUTIONAL NEURAL NETWORKS FOR LANGUAGE MODELING IN LOW RESOURCE SPEECH RECOGNITION
Kazuki Irie, Pavel Golik, Ralf Schlueter, Hermann Ney, RWTH Aachen University, Germany
HLT-P1.9: TOPIC IDENTIFICATION OF SPOKEN DOCUMENTS USING UNSUPERVISED ACOUSTIC UNIT DISCOVERY
Santosh Kesiraju, Brno University of Technology, Czech Republic; Raghavendra Pappagari, Johns Hopkins University, United States; Lucas Ondel, Lukas Burget, Brno University of Technology, Czech Republic; Najim Dehak, Sanjeev Khudanpur, Johns Hopkins University, United States; Jan “honza” Cernocky, Brno University of Technology, Czech Republic; Suryakanth Gangashetty, International Institute of Information Technology, India
HLT-P1.10: BAYESIAN PHONOTACTIC LANGUAGE MODEL FOR ACOUSTIC UNIT DISCOVERY
Lucas Ondel, Lukas Burget, Jan “honza” Cernocky, Santosh Kesiraju, Brno University of Technology, Czech Republic
HLT-P2.1: THE 2016 BBN GEORGIAN TELEPHONE SPEECH KEYWORD SPOTTING SYSTEM
Tanel Alumäe, Damianos Karakos, William Hartmann, Roger Hsiao, Le Zhang, Long Nguyen, Stavros Tsakalidis, Richard Schwartz, Raytheon BBN Technologies, United States
HLT-P2.2: WEAKLY SUPERVISED SPOKEN TERM DISCOVERY USING CROSS-LINGUAL SIDE INFORMATION
Sameer Bansal, Herman Kamper, Sharon Goldwater, Adam Lopez, University of Edinburgh, United Kingdom
HLT-P2.3: ANALYSIS OF KEYWORD SPOTTING PERFORMANCE ACROSS IARPA BABEL LANGUAGES
William Hartmann, Damianos Karakos, Roger Hsiao, Le Zhang, Tanel Alumäe, Stavros Tsakalidis, Richard Schwartz, Raytheon BBN Technologies, United States
HLT-P2.4: MORPH-TO-WORD TRANSDUCTION FOR ACCURATE AND EFFICIENT AUTOMATIC SPEECH RECOGNITION AND KEYWORD SEARCH
Anton Ragni, Danielle Saunders, Peter Zahemszky, Jake Vasilakes, Mark Gales, Kate Knill, University of Cambridge, United Kingdom
HLT-P2.5: RECURRENT NEURAL NETWORK LANGUAGE MODELS FOR KEYWORD SEARCH
Xie Chen, Anton Ragni, Jake Vasilakes, Cambridge University, United Kingdom; Xunying Liu, Chinese University of Hong Kong, Hong Kong SAR of China; Kate Knill, Mark Gales, Cambridge University, United Kingdom
HLT-P2.6: CONSTRUCTING SUB-WORD UNITS FOR SPOKEN TERM DETECTION
Charl van Heerden, North-West University, South Africa; Damianos Karakos, Raytheon BBN Technologies, United States; Karthik Narasimhan, Massachusetts Institute of Technology, United States; Marelie Davel, North-West University, South Africa; Richard Schwartz, Raytheon BBN Technologies, United States
HLT-P2.7: EFFECTIVE KEYWORD SEARCH FOR LOW-RESOURCED CONVERSATIONAL SPEECH
Rasa Lileikyte, Universite Paris–Saclay, France; Thiago Fraga-Silva, Vocapia Research, France; Lori Lamel, Jean-Luc Gauvain, Universite Paris–Saclay, France; Antoine Laurent, Vocapia Research, France; Guangpu Huang, Universit e Paris–Saclay, France
HLT-P2.8: AN INVESTIGATION INTO LANGUAGE MODEL DATA AUGMENTATION FOR LOW-RESOURCED STT AND KWS
Guangpu Huang, CNRS/LIMSI, France; Thiago Fraga da Silva, Vocapia Research, France; Lori Lamel, Jean-Luc Gauvain, Arseniy Gorin, CNRS/LIMSI, France; Antoine Laurent, Vocapia Research, France; Rasa Lileikyte, CNRS/LIMSI, France; Abdel Messouadi, Vocapia Research, France
HLT-P2.9: RADIO-BROWSING FOR DEVELOPMENTAL MONITORING IN UGANDA
Raghav Menon, Armin Saeb, Stellenbosch University, South Africa; Hugh Cameron, William Kibira, John Quinn, UN Global Pulse, Uganda; Thomas Niesler, Stellenbosch University, South Africa
HLT-P2.10: A PARALLELIZED DYNAMIC PROGRAMMING APPROACH TO ZERO RESOURCE SPOKEN TERM DISCOVERY
Bradley Oosterveld, Tufts University, United States; Richard Veale, Kyoto University, Japan; Matthias Scheutz, Tufts University, United States
HLT-P3.1: LEVERAGING MANIFOLD LEARNING FOR EXTRACTIVE BROADCAST NEWS SUMMARIZATION
Shih-Hung Liu, Kuan-Yu Chen, Institute of Information Science, Academia Sinica, Taiwan; Berlin Chen, National Taiwan Normal University, Taiwan; Hsin-Min Wang, Wen-Lian Hsu, Institute of Information Science, Academia Sinica, Taiwan
HLT-P3.2: EVALUATING AUTOMATIC SPEECH RECOGNITION SYSTEMS IN COMPARISON WITH HUMAN PERCEPTION RESULTS USING DISTINCTIVE FEATURE MEASURES
Xiang Kong, University of Illinois at Urbana Champaign, United States; Jeung-Yoon Choi, Stefanie Shattuck-Hufnagel, Massachusetts Institute of Technology, United States
HLT-P3.3: EFFECTIVE ARTICULATORY MODELING FOR PRONUNCIATION ERROR DETECTION OF L2 LEARNER WITHOUT NON-NATIVE TRAINING DATA
Richeng Duan, Tatsuya Kawahara, Masatake Dantsuji, Kyoto University, Japan; Jinsong Zhang, Beijing Language and Culture University, China
HLT-P3.4: FUSION OF MULTIPLE EMOTION PERSPECTIVES: IMPROVING AFFECT RECOGNITION THROUGH INTEGRATING CROSS-LINGUAL EMOTION INFORMATION
Chun-Ming Chang, Chi-Chun Lee, National Tsing Hua University, Taiwan
HLT-P3.5: SHEFCE: A CANTONESE-ENGLISH BILINGUAL SPEECH CORPUS FOR PRONUNCIATION ASSESSMENT
Raymond W. M. Ng, University of Sheffield, United Kingdom; Alvin C.M. Kwan, The University of Hong Kong, Hong Kong SAR of China; Tan Lee, The Chinese University of Hong Kong, Hong Kong SAR of China; Thomas Hain, University of Sheffield, United Kingdom
HLT-P3.6: SALIENCE BASED LEXICAL FEATURES FOR EMOTION RECOGNITION
Kalani Wataraka Gamage, Vidhyasaharan Sethu, Eliathamby Ambikairajah, University of New South Wales, Australia
HLT-P3.7: REMEMBERING WHAT YOU SAID: SEMANTIC PERSONALIZED MEMORY FOR PERSONAL DIGITAL ASSISTANTS
Vipul Agarwal, Omar Zia Khan, Microsoft, United States; Ruhi Sarikaya, Amazon, United States
HLT-P3.8: THE SHEFFIELD SEARCH AND RESCUE CORPUS
Saeid Mokaram, Roger K. Moore, The University of Sheffield, United Kingdom
HLT-P3.9: AUTOMATIC DETECTION OF SYLLABLE STRESS USING SONORITY BASED PROMINENCE FEATURES FOR PRONUNCIATION EVALUATION
Chiranjeevi Yarra, Indian Institute of Science, India; Om D. Deshmukh, Xerox Research Center India, India; Prasanta Kumar Ghosh, Indian Institute of Science, India
BD-L1.1: AN ITERATIVE AUCTION MECHANISM FOR DATA TRADING
Xuanyu Cao, University of Maryland, United States; Yan Chen, University of Electronic Science and Technology of China, China; K. J. Ray Liu, University of Maryland, United States
BD-L1.2: SCALABLE AND FLEXIBLE MAX-VAR GENERALIZED CANONICAL CORRELATION ANALYSIS VIA ALTERNATING OPTIMIZATION
Xiao Fu, Kejun Huang, University of Minnesota, United States; Mingyi Hong, Iowa State University, United States; Nicholas Sidiropoulos, University of Minnesota, United States; Anthony Man-Cho So, The Chinese University of Hong Kong, Hong Kong SAR of China
BD-L1.3: DISTRIBUTED RECURSIVE LEAST-SQUARES WITH DATA-ADAPTIVE CENSORING
Zifeng Wang, Zheng Yu, Qing Ling, University of Science and Technology of China, China; Dimitris Berberidis, Georgios B. Giannakis, University of Minnesota, United States
BD-L1.4: DISTRIBUTED SPARSIFIED GRAPH FILTERS FOR DENOISING AND DIFFUSION TASKS
Elvin Isufi, Geert Leus, TU Delft, Netherlands
BD-L1.5: NETWORK TOPOLOGY INFERENCE FROM NON-STATIONARY GRAPH SIGNALS
Rasoul Shafipour, University of Rochester, United States; Santiago Segarra, Massachusetts Institute of Technology, United States; Antonio G. Marques, King Juan Carlos University, Spain; Gonzalo Mateos, University of Rochester, United States
BD-L1.6: ASYNCHRONOUS ONLINE ADMM FOR CONSENSUS PROBLEMS
Javier Matamoros, CTTC / CERCA, Spain
BD-P1.1: ON CLASSIFICATION OF ENVIRONMENTAL ACOUSTIC DATA USING CROWDS
Shan Zhang, Syracuse University, United States; Aditya Vempaty, IBM, United States; Susan Parks, Pramod K. Varshney, Syracuse University, United States
BD-P1.2: CONVOLUTIONAL APPROXIMATIONS TO LINEAR DIMENSIONALITY REDUCTION OPERATORS
Swayambhoo Jain, Jarvis Haupt, University of Minnesota – Twin Cities, United States
BD-P1.3: ACCELERATED SENSOR POSITION SELECTION USING GRAPH LOCALIZATION OPERATOR
Akie Sakiyama, Yuichi Tanaka, Toshihisa Tanaka, Tokyo University of Agriculture and Technology, Japan; Antonio Ortega, University of Southern California, Japan
BD-P1.4: NESTEROV-BASED PARALLEL ALGORITHM FOR LARGE-SCALE NONNEGATIVE TENSOR FACTORIZATION
Athanasios Liavas, George Kostoulas, George Lourakis, Kejun Huang, Nicholas Sidiropoulos, Department ECE, Greece
BD-P1.5: LOGNET: ENERGY-EFFICIENT NEURAL NETWORKS USING LOGARITHMIC COMPUTATION
Edward Lee, Stanford University, United States; Daisuke Miyashita, Stanford University and Toshiba, Japan; Elaina Chai, Boris Murmann, Simon Wong, Stanford University, United States
BD-P1.6: LARGE SCALE 2D SPECTRAL COMPRESSED SENSING IN CONTINUOUS DOMAIN
Jian-Feng Cai, Hong Kong University of Science and Technology, China; Weiyu Xu, Yang Yang, University of Iowa, United States
BD-P1.7: FORECASTING COVARIANCE FOR OPTIMAL CARRY TRADE PORTFOLIO ALLOCATIONS
Matthew Ames, University College London, United Kingdom; Guillaume Bagnarosa, ESC Rennes School of Business, France; Gareth Peters, University College London, United Kingdom; Pavel Shevchenko, Macquarie University, Australia; Tomoko Matsui, The Institute of Statistical Mathematics, Japan
BD-P2.1: SMOOTH GRAPH SIGNAL RECOVERY VIA EFFICIENT LAPLACIAN SOLVERS
Gita Babazadeh Eslamlou, Technical University of Vienna, Austria; Alexander Jung, Aalto University, Finland; Norbert Goertz, Vienna University of Technology, Austria
BD-P2.2: LEARNING CONDITIONAL INDEPENDENCE STRUCTURE FOR HIGH-DIMENSIONAL UNCORRELATED VECTOR PROCESSES
Nguyen Tran Quang, Alexander Jung, Aalto University, Finland
BD-P2.3: NETWORK DISCOVERY USING CONTENT AND HOMOPHILY
Steven Smith, Rajmonda Caceres, Kenneth Senne, Molly McMahon, Timothy Greer, MIT Lincoln Laboratory, United States
BD-P2.4: SPECTRAL STATISTICS OF LATTICE GRAPH STRUCTURED, NON-UNIFORM PERCOLATIONS
Stephen Kruzick, José M. F. Moura, Carnegie Mellon University, United States
BD-P2.5: DYNAMIC RECONSTRUCTION OF INFLUENCE GRAPHS WITH ADAPTIVE DIRECTED INFORMATION
Brandon Oselio, Alfred O. Hero, University of Michigan, United States
BD-P2.6: LATENT TREE APPROXIMATION IN LINEAR MODEL
Navid Tafaghodi Khajavi, University of Hawaii at Manoa, United States
IOT-L1.1: WEARABLE MOTION SENSOR BASED PHASIC ANALYSIS OF TENNIS SERVE FOR PERFORMANCE FEEDBACK
Manish Sharma, Rupika Srivastava, Akash Anand, Divya Prakash, Lakshmi Kaligounder, Samsung R&D Institute India, Bangalore, India
IOT-L1.2: INFERENCE MACHINES FOR SUPERVISED BLUETOOTH LOCALIZATION
Tatsuya Ishihara, IBM Research, The University of Tokyo, Japan; Kris M. Kitani, Carnegie Mellon University, United States; Chieko Asakawa, IBM Research, Carnegie Mellon University, Japan; Michitaka Hirose, The University of Tokyo, Japan
IOT-L1.3: A TIME-REVERSAL SPATIAL HARDENING EFFECT FOR INDOOR SPEED ESTIMATION
Feng Zhang, Chen Chen, University of Maryland, College Park, United States; Beibei Wang, Hung-Quoc Lai, Origin Wireless Inc., United States; K. J. Ray Liu, University of Maryland, College Park, United States
IOT-L1.4: NON-NEGATIVE MATRIX FACTORIZATION OF SIGNALS WITH OVERLAPPING EVENTS FOR EVENT DETECTION APPLICATIONS
Shiqiang Wang, Jorge Ortiz, IBM T.J. Watson Research Center, United States
IOT-L1.5: DEEP FUSION OF HETEROGENEOUS SENSOR DATA
Zuozhu Liu, Singapore University of Technology and Design, Singapore; Wenyu Zhang, Cornell University, United States; Tony Q.S. Quek, Shaowei Lin, Singapore University of Technology and Design, Singapore
IOT-L1.6: DEEP LEARNING ON SYMBOLIC REPRESENTATIONS FOR LARGE-SCALE HETEROGENEOUS TIME-SERIES EVENT PREDICTION
Shengdong Zhang, Soheil Bahrampour, Naveen Ramakrishnan, Lukas Schott, Mohak Shah, Research and Technology Center, Robert Bosch LLC, United States
IOT-P1.1: SCHEDULE BASED SELF LOCALIZATION OF ASYNCHRONOUS WIRELESS NODES WITH EXPERIMENTAL VALIDATION
Baptiste Cavarec, Satyam Dwivedi, Mats Bengtsson, Peter Händel, KTH Royal Institute of Technology, Sweden
IOT-P1.2: A WAVELET-BASED APPROACH TO MONITORING PARKINSON'S DISEASE SYMPTOMS
Avishai Wagner, Naama Fixler, Yehezkel Resheff, Intel Advanced Analytics, Israel
IOT-P1.3: REALTIME PLANE DETECTION FOR PROJECTION AUGMENTED REALITY IN AN UNKNOWN ENVIRONMENT
Dongchul Kim, Seungho Chae, Jonghoon Seo, Yoonsik Yang, Tack-Don Han, Yonsei University, Republic of Korea
IOT-P1.4: TIME REVERSAL BASED WIRELESS EVENTS DETECTION
Qinyi Xu, University of Maryland, College Park, United States; Yan Chen, University of Electronic Science and Technology of China, China; Beibei Wang, K. J. Ray Liu, University of Maryland, College Park, United States
IOT-P1.5: INFRASTRUCTURE-LESS INDOOR LOCALIZATION USING LIGHT FINGERPRINTS
Shahab Hamidi-Rad, Kent Lyons, Naveen Goela, Technicolor, United States
IOT-P1.6: DATA ANALYSIS AS A WEB SERVICE: A CASE STUDY USING IOT SENSOR DATA
Alireza Ahrabian, Sefki Kolozali, Shirin Enshaeifar, Clive Cheong-Took, Payam Barnaghi, University of Surrey, United Kingdom
IOT-P1.7: MULTILAYER SENSOR NETWORK FOR INFORMATION PRIVACY
Xin He, Wee Peng Tay, Nanyang Technological University, Singapore
IOT-P1.8: KERNEL WEIGHTED FISHER SPARSE ANALYSIS ON MULTIPLE MAPS FOR AUDIO EVENT RECOGNITION
Yu-Hao Chin, National Central University, Taiwan; Bo-Wei Chen, Monash University, Malaysia; Jia-Ching Wang, National Central University, Taiwan
IOT-P1.9: INTELLIGENT COMPRESSIVE DATA GATHERING USING DATA FERRIES FOR WIRELESS SENSOR NETWORKS
Siwang Zhou, Qian Zhong, Bo Ou, Hunan University, China; Yonghe Liu, The University of Texas at Arlington, China
IOT-P1.10: A NEW NOISE ANNOYANCE MEASUREMENT METRIC FOR URBAN NOISE SENSING AND EVALUATION
Huan Zhou, Rongshan Yu, Ying Song, Haiyan Shu, Institute for Infocomm Research (I2R), A*STAR, Singapore
CIM-L1.1: COMPRESSIVE IMAGING WITH ITERATIVE FORWARD MODELS
Hsiou-Yuan Liu, University of California, Berkeley, United States; Ulugbek Kamilov, Dehong Liu, Hassan Mansour, Petros Boufounos, Mitsubishi Electric Research Laboratories, United States
CIM-L1.2: ACOUSTIC IMAGING OF SPARSE SOURCES WITH ORTHOGONAL MATCHING PURSUIT AND CLUSTERING OF BASIS VECTORS
Trond F. Bergh, University of Oslo, Norway; Ines Hafizovic, Squarehead Technology, Norway; Sverre Holm, University of Oslo, Norway
CIM-L1.3: FAST CONVOLUTIONAL SPARSE CODING WITH SEPARABLE FILTERS
Gustavo Silva, Jorge Quesada, Paul Rodriguez, PUCP, Peru; Brendt Wohlberg, LANL, United States
CIM-L1.4: AUTOMATIC PARAMETER TUNING FOR IMAGE DENOISING WITH LEARNED SPARSIFYING TRANSFORMS
Luke Pfister, Yoram Bresler, University of Illinois at Urbana-Champaign, United States
CIM-L1.5: A WEAKLY-CONVEX FORMULATION FOR PHASELESS IMAGING
Ilker Bayram, Istanbul Technical University, Turkey; Eric Mason, Birsen Yazici, Rensselaer Polytechnic Institute, United States
CIM-L1.6: STOCHASTIC TRUNCATED WIRTINGER FLOW ALGORITHM FOR PHASE RETRIEVAL USING BOOLEAN CODED APERTURES
Samuel Pinilla, Camilo Noriega, Henry Arguello, Universidad Industrial de Santander, Colombia
CIM-P1.1: RGB-NIR IMAGING WITH EXPOSURE BRACKETING FOR JOINT DENOISING AND DEBLURRING OF LOW-LIGHT COLOR IMAGES
Hiroki Yamashita, Daisuke Sugimura, Takayuki Hamamoto, Graduate School of Engineering, Tokyo University of Science, Japan
CIM-P1.2: PARTITIONED INVERSE IMAGE RECONSTRUCTION FOR MILLIMETER-WAVE SAR IMAGING
Sandamali Devadithya, Andreas Pedross-Engel, Claire Watts, Matthew Reynolds, University of Washington, United States
CIM-P1.3: AUTO-WEIGHTED TWO-DIMENSIONAL PRINCIPAL COMPONENT ANALYSIS WITH ROBUST OUTLIERS
Rui Zhang, Feiping Nie, Xuelong Li, Northwestern Polytechnical University, China
CIM-P1.4: X-RAY COMPUTED TOMOGRAPHY SIMULTANEOUS IMAGE RECONSTRUCTION AND CONTOUR DETECTION USING A HIERARCHICAL MARKOVIAN MODEL
Li Wang, Ali Mohammad-Djafari, Nicolas Gac, Laboratoire des Signaux et Systèmes, France
CIM-P1.5: R-FUSE: ROBUST FAST FUSION OF MULTIBAND IMAGES BASED ON SOLVING A SYLVESTER EQUATION
Qi Wei, University of Cambridge, United Kingdom; Nicolas Dobigeon, Jean-Yves Tourneret, University of Toulouse, France; Jose Bioucas-Dias, Instituto Superior Tecnico, Universidade de Lisboa, Portugal; Simon J. Godsill, University of Cambridge, United Kingdom
CIM-P1.6: COMPRESSIVE INFORMATION ACQUISITION WITH HARDWARE IMPAIRMENTS AND CONSTRAINTS: A CASE STUDY
Sooryanarayanan Gopalakrishnan, University of California, Santa Barbara, United States; Tiffany Moy, Princeton University, United States; Upamanyu Madhow, University of California, Santa Barbara, United States; Naveen Verma, Princeton University, United States
CIM-P1.7: ROBUST X-RAY PHASE PTYCHO-TOMOGRAPHY
Singanallur Venkatakrishnan, Young-Sang Yu, Maryam Farmand, Lawrence Berkeley National Laboratory, United States; Hasti Majidi, Klaus van Benthem, University of California, United States; Tefano Marchesini, David Shapiro, Alexander Hexemer, Lawrence Berkeley National Laboratory, United States
CIM-P1.8: PERFORMANCE BOUNDS FOR POISSON COMPRESSED SENSING USING VARIANCE STABILIZATION TRANSFORMS
Deepak Garg, Ajit Rajwade, Indian Institute of Technology Bombay, India
CIM-P1.9: STRONGER RECOVERY GUARANTEES FOR SPARSE SIGNALS EXPLOITING COHERENCE STRUCTURE IN DICTIONARIES
Eeshan Malhotra, Indian Institute of Technology Bombay, India; Karthik Gurumoorthy, Tata Institute of Fundamental Research, India; Ajit Rajwade, Indian Institute of Technology Bombay, India
CIM-P1.10: PERFORMANCE ANALYSIS OF LOW-FLUX LEAST-SQUARES SINGLE-PIXEL IMAGING
Dongeek Shin, Jeffrey Shapiro, Massachusetts Institute of Technology, United States; Vivek Goyal, Boston University, United States
SS-L1.1: HOW LITTLE DOES NON-EXACT RECOVERY HELP IN GROUP TESTING?
Jonathan Scarlett, Volkan Cevher, École Polytechnique Fédérale de Lausanne, Switzerland
SS-L1.2: INFORMATION THEORETIC STRUCTURE LEARNING WITH CONFIDENCE
Kevin Moon, Yale University, United States; Morteza Noshad, Salimeh Yasaei Sekeh, Alfred O. Hero, University of Michigan, United States
SS-L1.3: MINIMUM ENTROPY PURSUIT: NOISE ANALYSIS
Shirin Jalali, Nokia Bell Labs, United States; H. Vincent Poor, Princeton University, United States
SS-L1.4: RATE-DISTORTION TRADE-OFFS IN ACQUISITION OF SIGNAL PARAMETERS
Miguel Rodrigues, University College London, United Kingdom; Nikos Deligiannis, Vrije Universiteit Brussel, Belgium; Lifeng Lai, University of California, Davis, United States; Yonina C. Eldar, Technion - Israel Institute of Technology, Israel
SS-L1.5: RUN-LENGTH LIMITED CODES FOR BACKSCATTER COMMUNICATION
Itay Cnaan-On, Duke University, United States; Andrew Harms, University of Nebraska-Lincoln, United States; Jeffrey L. Krolik, Robert Calderbank, Duke University, United States
SS-L1.6: AUTOENCODERS TRAINED WITH RELEVANT INFORMATION: BLENDING SHANNON AND WIENER'S PERSPECTIVES
Shujian Yu, Matthew Emigh, Eder Santana, Jose C. Principe, University of Florida, United States
SS-L2.1: SPEAKER LOCALIZATION IN REVERBERANT ROOMS BASED ON DIRECT PATH DOMINANCE TEST STATISTICS
Boaz Rafaely, Ben-Gurion University of the Negev, Israel; Dorothea Kolossa, Ruhr-Universität Bochum, Germany
SS-L2.2: ROBUST DIRECTION ESTIMATION WITH CONVOLUTIONAL NEURAL NETWORKS BASED STEERED RESPONSE POWER
Pasi Pertilä, Emre Cakir, Tampere University of Technology, Finland
SS-L2.3: ROBUST MULTICHANNEL TDOA ESTIMATION FOR SPEAKER LOCALIZATION USING THE IMPULSIVE CHARACTERISTICS OF SPEECH SPECTRUM
Hongsen He, Southwest University of Science and Technology, China; Jingdong Chen, Northwestern Polytechnical University, China; Jacob Benesty, University of Quebec, Canada; Yingyue Zhou, Tao Yang, Southwest University of Science and Technology, China
SS-L2.4: INDOOR MULTI-SOUND SOURCE LOCALIZATION BASED ON NONPARAMETRIC BAYESIAN CLUSTERING
Yao Guo, Hongyan Zhu, Xi’an Jiaotong University, China; Qi Cheng, Oklahoma State University, United States
SS-L2.5: TOWARDS WIRELESS ACOUSTIC SENSOR NETWORKS FOR LOCATION ESTIMATION AND COUNTING OF MULTIPLE SPEAKERS IN REAL-LIFE CONDITIONS
Anastasios Alexandridis, Nikolaos Stefanakis, Athanasios Mouchtaris, Foundation for Research and Technology - Hellas, Greece
SS-L2.6: SOURCE TRACKING USING MOVING MICROPHONE ARRAYS FOR ROBOT AUDITION
Christine Evers, Imperial College London, United Kingdom; Yuval Dorfan, Sharon Gannot, Bar-Ilan University, Israel; Patrick A. Naylor, Imperial College London, United Kingdom
SS-L3.1: EVALUATION OF WEIGHT SPARSITY REGULARIZION SCHEMES OF DEEP NEURAL NETWORKS APPLIED TO FUNCTIONAL NEUROIMAGING DATA
Hyun-Chul Kim, Jong-Hwan Lee, Korea University, Republic of Korea
SS-L3.2: A DEEP-LEARNING APPROACH TO TRANSLATE BETWEEN BRAIN STRUCTURE AND FUNCTIONAL CONNECTIVITY
Vince D. Calhoun, Md Faijul Amin, Devon Hjelm, Eswar Damaraju, Sergey Plis, The Mind Research Network, United States
SS-L3.3: FUSED ESTIMATION OF SPARSE CONNECTIVITY PATTERNS FROM REST FMRI
Pascal Zille, Tulane University., United States; Vince D. Calhoun, The Mind Research Network. Department of Electrical and Computer Engineering, The University of New Mexico., United States; Julia M. Stephen, The Mind Research Network, United States; Tony W. Wilson, University of Nebraska Medical Center, United States; Yu-Ping Wang, Tulane University, United States
SS-L3.4: TWO MODELS FOR FUSION OF MEDICAL IMAGING DATA: COMPARISON AND CONNECTIONS
Yuri Levin-Schwartz, University of Maryland, Baltimore County, United States; Vince D. Calhoun, The Mind Research Network, United States; Tülay Adali, University of Maryland, Baltimore County, United States
SS-L3.5: NETWORK-BASED GENOME WIDE STUDY OF HIPPOCAMPAL IMAGING PHENOTYPE IN ALZHEIMER'S DISEASE TO IDENTIFY FUNCTIONAL INTERACTION MODULES
Xiaohui Yao, Jingwen Yan, Shannon Risacher, Indiana University, United States; Jason Moore, University of Pennsylvania, United States; Andrew Saykin, Li Shen, Indiana University, United States
SS-L3.6: LEARNING DISCRIMINATIVE FEATURES FROM ELECTROENCEPHALOGRAPHY RECORDINGS BY ENCODING SIMILARITY CONSTRAINTS
Sebastian Stober, University of Potsdam, Germany
SS-L4.1: RESOLUTION ENHANCEMENT FOR HYPERSPECTRAL IMAGES: A SUPER-RESOLUTION AND FUSION APPROACH
Chiman Kwan, Signal Processing, Inc., United States; Joon Hee Choi, Stanley Chan, Purdue University, United States; Jin Zhou, Google Inc., United States; Bence Budavari, Signal Processing, Inc., United States
SS-L4.2: A NOVEL ENSEMBLE CLASSIFIER OF HYPERSPECTRAL AND LIDAR DATA USING MORPHOLOGICAL FEATURES
Junshi Xia, Naoto Yokoya, Akira Iwasaki, Research Center for Advanced Science and Technology, The University of Tokyo, Japan
SS-L4.3: IMPROVED LOCAL SPECTRAL UNMIXING OF HYPERSPECTRAL DATA USING AN ALGORITHMIC REGULARIZATION PATH FOR COLLABORATIVE SPARSE REGRESSION
Lucas Drumetz, Université Grenoble Alpes, France; Guillaume Tochon, Grenoble Institute of Technology, France; Miguel-Angel Veganzones, CNRS, France; Jocelyn Chanussot, Grenoble Institute of Technology, France; Christian Jutten, Université Grenoble Alpes, France
SS-L4.4: PRE-PROCESSING AND CLASSIFICATION OF HYPERSPECTRAL IMAGERY VIA SELECTIVE INPAINTING
Victoria Chayes, Bard College, United States; Kevin Miller, Brigham Young University, United States; Rasika Bhalerao, University of Washington, United States; Jiajie Luo, University of California, Santa Barbara, United States; Wei Zhu, Andrea L. Bertozzi, University of California, Los Angeles, United States; Wenzhi Liao, Ghent University, Belgium; Stanley Osher, University of California, Los Angeles, United States
SS-L4.5: HYPERSPECTRAL UNMIXING WITH ENDMEMBER VARIABILITY USING PARTIAL MEMBERSHIP LATENT DIRICHLET ALLOCATION
Sheng Zou, Alina Zare, University of Florida, United States
SS-L4.6: ROTATION INVARIANCE THROUGH STRUCTURED SPARSITY FOR ROBUST HYPERSPECTRAL IMAGE CLASSIFICATION
Saurabh Prasad, Demetrio Labate, Minshan Cui, Yuhang Zhang, University of Houston, United States
SS-L5.1: JOINT PARAMETER AND STATE ESTIMATION FOR WAVE-BASED IMAGING AND INVERSION
Tristan van Leeuwen, Utrecht University, Netherlands
SS-L5.2: SPARSITY BASED SUPER-RESOLUTION OPTICAL IMAGING USING CORRELATION INFORMATION
Oren Solomon, Maor Mutzafi, Mordechai Segev, Yonina C. Eldar, Technion - Israel Institute of Technology, Israel
SS-L5.3: OPTICAL TOMOGRAPHY BASED ON A NONLINEAR MODEL THAT HANDLES MULTIPLE SCATTERING
Morteza Hasani Shoreh, Alexandre Goy, JooWon Lim, École Polytechnique Fédérale de Lausanne, Switzerland; Ulugbek Kamilov, Mitsubishi Electric Research Laboratories, United States; Michael Unser, Demetri Psaltis, École Polytechnique Fédérale de Lausanne, Switzerland
SS-L5.4: COMPUTATIONAL MICROSCOPY: ILLUMINATION CODING AND NONLINEAR OPTIMIZATION ENABLES GIGAPIXEL 3D PHASE IMAGING
Lei Tian, Boston University, United States; Li-hao Yeh, Regina Eckert, Laura Waller, University of California, Berkeley, United States
SS-L5.5: ACCELERATED DUAL GRADIENT-BASED METHODS FOR TOTAL VARIATION IMAGE DENOISING/DEBLURRING PROBLEMS
Donghwan Kim, Jeffrey Fessler, University of Michigan, United States
SS-L5.6: LINEAR SYSTEMS APPROACH TO IDENTIFYING PERFORMANCE BOUNDS IN INDIRECT IMAGING
Adithya Pediredla, Rice University, United States; Nathan Matsuda, Oliver Cossairt, Northwestern University, United States; Ashok Veeraraghavan, Rice University, United States
SS-L6.1: LINE DETECTION IN SPECKLE IMAGES USING RADON TRANSFORM AND L1 REGULARIZATION
Nantheera Anantrasirichai, University of Bristol, United Kingdom; Marco Allinovi, Meyer Children’s Hospital, Italy; Wesley Hayes, Great Ormond Street Hospital, United Kingdom; David R. Bull, Alin Achim, University of Bristol, United Kingdom
SS-L6.2: ENHANCED ULTRASOUND IMAGE RECONSTRUCTION USING A COMPRESSIVE BLIND DECONVOLUTION APPROACH
Zhouye Chen, Adrian Basarab, Denis Kouamé, University of Toulouse, France
SS-L6.3: APERTURE DOMAIN MODEL IMAGE RECONSTRUCTION (ADMIRE) FOR IMPROVED ULTRASOUND IMAGING
Brett Byram, Vanderbilt University, United States
SS-L6.4: SIMULTANEOUS CODED PLANE WAVE IMAGING IN ULTRASOUND: PROBLEM FORMULATION AND CONSTRAINTS
Denis Bujoreanu, Denis Friboulet, Hervé Liebgott, Barbara Nicolas, CREATIS, Université de Lyon, France
SS-L6.5: IMAGE FORMATION METHODS IN QUANTITATIVE ACOUSTIC MICROSCOPY
Jonathan Mamou, Daniel Rohrbach, Riverside Research, United States
SS-L6.6: REGULARIZED TRACKING OF SHEAR-WAVE IN ULTRASOUND ELASTOGRAPHY
Mahmoud Derakhshan Horeh, Amir Asif, Hassan Rivaz, Concordia University, Canada
SS-L7.1: EFFICIENT LARGE SCALE ANTENNA SELECTION BY PARTIAL SWITCHING CONNECTIVITY
Adrian Garcia Rodriguez, Nokia Bell Labs, Ireland; Christos Masouros, University College London, United Kingdom; Pawel Rulikowski, Nokia Bell Labs, Ireland
SS-L7.2: OPTIMUM ARRAY CONFIGURATIONS OF MAXIMUM OUTPUT SNR FOR QUIESCENT BEAMFORMING
Xiangrong Wang, Beihang University, China; Moeness G. Amin, Villanova University, United States; Xianbin Cao, Beihang University, China
SS-L7.3: NON-CONVEX CONSENSUS ADMM FOR SATELLITE PRECODER DESIGN
Miguel Ángel Vázquez, Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain; Aritra Konar, University of Minnesota, United States; Luis Blanco, Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain; Nicholas Sidiropoulos, University of Minnesota, Spain; Ana I. Pérez-Neira, Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain
SS-L7.4: EFFICIENT HYBRID SPACE-GROUND PRECODING TECHNIQUES FOR MULTI-BEAM SATELLITE SYSTEMS
Nuan Song, Tao Yang, Nokia Bell Labs China, China; Martin Haardt, Ilmenau University of Technology, Germany
SS-L7.5: WEAK INTERFERENCE DETECTION WITH SIGNAL CANCELLATION IN SATELLITE COMMUNICATIONS
Christos Politis, Sina Maleki, Christos Tsinos, Symeon Chatzinotas, Björn Ottersten, University of Luxembourg, Luxembourg
SS-L7.6: BLIND ON BOARD WIDEBAND ANTENNA RF CALIBRATION FOR MULTI-ANTENNA SATELLITES
Ahmad Bazzi, Eurecom / RW-CEVA, France; Laura Cottatellucci, Dirk Slock, Eurecom, France
SS-L8.1: MULTI-SCALE HIGHER ORDER SINGULAR VALUE DECOMPOSITION (MS-HOSVD) FOR RESTING-STATE FMRI COMPRESSION AND ANALYSIS
Alp Ozdemir, Marisel Villafañe-Delgado, David C. Zhu, Mark A. Iwen, Selin Aviyente, Michigan State University, United States
SS-L8.2: IDENTIFYING DIRECTIONAL CONNECTIONS IN BRAIN NETWORKS VIA MULTI-KERNEL GRANGER MODELS
Georgios Vasileios Karanikolas, Georgios B. Giannakis, University of Minnesota, United States
SS-L8.3: PATTERN RECOGNITION OF FUNCTIONAL BRAIN NETWORKS
Yong Fan, Christos Davatzikos, University of Pennsylvania, United States
SS-L8.4: SCALABLE GROUP LEVEL PROBABILISTIC SPARSE FACTOR ANALYSIS
Jesper L. Hinrich, Søren F. V. Nielsen, Nicolai A. B. Riis, Casper T. Eriksen, Jacob Frøsig, Marco D. F. Kristensen, Mikkel N. Schmidt, Technical University of Denmark, Denmark; Kristoffer H. Madsen, Copenhagen University Hospital Hvidovre, Denmark; Morten Mørup, Technical University of Denmark, Denmark
SS-L8.5: FLEXIBLE LARGE-SCALE FMRI ANALYSIS: A SURVEY
Seung-Jun Kim, University of Maryland, Baltimore County, United States; Vince D. Calhoun, The Mind Research Network, United States; Tülay Adali, University of Maryland, Baltimore County, United States
SS-L8.6: BSMCCA: A BLOCK SPARSE MULTIPLE-SET CANONICAL CORRELATION ANALYSIS ALGORITHM FOR MULTI-SUBJECT FMRI DATA SETS
Abd-Krim Seghouane, Asif Iqbal, Nandakishor Desai, The University of Melbourne, Australia
SS-L9.1: REINFORCING SIGNAL PROCESSING THEORY USING REAL-TIME HARDWARE
Cameron Wright, University of Wyoming, United States; Thad Welch, Boise State University, United States; Michael Morrow, University of Wisconsin-Madison, United States
SS-L9.2: SMARTPHONE-BASED ANYWHERE-ANYTIME SIGNALS AND SYSTEMS LABORATORY
Nasser Kehtarnavaz, Fatemeh Saki, The University of Texas at Dallas, United States
SS-L9.3: PRACTICAL MATLAB EXPERIENCE IN LECTURE-BASED SIGNALS AND SYSTEMS COURSES
Peter Milder, Mónica Bugallo, Stony Brook University, United States
SS-L9.4: CONTEXTUAL MULTI-ARMED BANDIT ALGORITHMS FOR PERSONALIZED LEARNING ACTION SELECTION
Indu Manickam, Andrew Lan, Richard Baraniuk, Rice University, United States
SS-L9.5: TEACHING IMAGE AND VIDEO PROCESSING USING MIDDLE-SCHOOL MATHEMATICS AND THE RASPBERRY PI
Marios Pattichis, Sylvia Celedon-Pattichis, Carlos LopezLeiva, The University of New Mexico, United States
SS-L9.6: STUDY-FLOW: STUDYING EFFECTIVE STUDENT-CONTENT INTERACTION IN SIGNAL PROCESSING EDUCATION
Gregory Krudysz, James H. McClellan, Georgia Institute of Technology, United States
SS-L10.1: NEAR-OPTIMAL SAMPLE COMPLEXITY BOUNDS FOR CIRCULANT BINARY EMBEDDING
Samet Oymak, Google Inc, United States; Christos Thrampoulidis, Babak Hassibi, Caltech, United States
SS-L10.2: HIGH FREQUENCY MOMENTS VIA MAX-STABILITY
Alexandr Andoni, Columbia University, United States
SS-L10.3: COMPRESSIVE K-MEANS
Nicolas Keriven, INRIA Rennes - Bretagne Atlantique, Université Rennes 1, France; Nicolas Tremblay, INRIA Rennes - Bretagne Atlantique, CNRS Gipsa-Lab, France; Yann Traonmilin, Rémi Gribonval, INRIA Rennes - Bretagne Atlantique, France
SS-L10.4: THE GEOMETRY OF RANDOM PAIRED COMPARISONS
Andrew Massimino, Mark Davenport, Georgia Institute of Technology, United States
SS-L10.5: FAST SPARSE RECOVERY FOR ANY RIP-1 MATRIX
Eric Price, The University of Texas at Austin, United States
SS-L10.6: STABLE RECOVERY OF SPARSE VECTORS FROM RANDOM SINUSOIDAL FEATURE MAPS
Mohammadreza Soltani, Chinmay Hegde, Iowa State University, United States
SS-L11.1: ENHANCING UTILITY AND PRIVACY WITH NOISY MINIMAX FILTERS
Jihun Hamm, The Ohio State University, United States
SS-L11.2: CROWD-ML: A LIBRARY FOR PRIVACY-PRESERVING MACHINE LEARNING ON SMART DEVICES
Jihun Hamm, Jackson Luken, Yani Xie, The Ohio State University, United States
SS-L11.3: PRIVACY PRESERVING DISTANCE COMPUTATION USING SOMEWHAT-TRUSTED THIRD PARTIES
Abelino Jimenez, Bhiksha Raj, Carnegie Mellon University, United States
SS-L11.4: ON METHODS FOR PRIVACY-PRESERVING ENERGY DISAGGREGATION
Ye Wang, Mitsubishi Electric Research Laboratories, United States; Nisarg Raval, Duke University, United States; Prakash Ishwar, Boston University, United States; Mitsuhiro Hattori, Takato Hirano, Nori Matsuda, Rina Shimizu, Mitsubishi Electric Corporation, Japan
SS-L11.5: A DIFFERENTIALLY PRIVATE ENSEMBLE KALMAN FILTER FOR ROAD TRAFFIC ESTIMATION
Hubert André, Jerome Le Ny, Polytechnique Montreal, Canada
SS-L11.6: PRIVACY PRESERVING ENCRYPTED PHONETIC SEARCH OF SPEECH DATA
Cornelius Glackin, Gerard Chollet, Nazim Dugan, Nigel Cannings, Julie Wall, Intelligent Voice Ltd., United Kingdom; Shahzaib Tahir, Indranil Ghosh Ray, Muttukrishnan Rajarajan, City University of London, United Kingdom
SS-L12.1: HIGH DIMENSIONAL DECOMPOSITION OF COHERENT/STRUCTURED MATRICES VIA SEQUENTIAL COLUMN/ROW SAMPLING
Mostafa Rahmani, George Atia, University of Central Florida, United States
SS-L12.2: IDENTIFYING CORRELATED COMPONENTS IN HIGH-DIMENSIONAL MULTIVARIATE GAUSSIAN MODELS
Jun Geng, Harbin Institute of Technology, China; Weiyu Xu, University of Iowa, United States; Lifeng Lai, University of California, United States
SS-L12.3: ASYMPTOTIC OPTIMALITY OF CONSENSUS-BASED SEQUENTIAL PROBABILITY RATIO TEST
Shang Li, Xiaodong Wang, Columbia University, United States
SS-L12.4: QUICKEST CHANGE DETECTION IN STRUCTURED DATA WITH INCOMPLETE INFORMATION
Javad Heydari, Ali Tajer, Rensselear Polytechnic Institute, United States
SS-L12.5: PARAMETRIZED DESIGN OF THE GENERALIZED SEQUENTIAL PROBABILITY RATIO TEST
Naeem Akl, Ahmed Tewfik, The University of Texas at Austin, United States
SS-L12.6: MULTISTREAM QUICKEST CHANGE DETECTION: ASYMPTOTIC OPTIMALITY UNDER A SPARSE SIGNAL
Georgios Fellouris, University of Illinois at Urbana-Champaign, United States; George Moustakides, Rutgers, The State University of New Jersey / University of Patras, United States; Venugopal V. Veeravalli, University of Illinois at Urbana-Champaign, United States
SS-L13.1: AMOS: AN AUTOMATED MODEL ORDER SELECTION ALGORITHM FOR SPECTRAL GRAPH CLUSTERING
Pin-Yu Chen, Thibaut Gensollen, Alfred O. Hero, University of Michigan, United States
SS-L13.2: SIGNAL REPRESENTATIONS IN MODERN SIGNAL PROCESSING
Rebecca Willett, University of Wisconsin-Madison, United States
SS-L13.3: EFFICIENT MULTIPLIER-LESS STRUCTURES FOR RAMANUJAN FILTER BANKS
Palghat P. Vaidyanathan, Srikanth V. Tenneti, California Institute of Technology, United States
SS-L13.4: FROM BIOMEDICAL IMAGING TO URBAN DATA MINING: THEORY OF SIGNAL REPRESENTATIONS
Jelena Kovacevic, Carnegie Mellon University, United States
SS-L13.5: SAMPLING AND RECONSTRUCTION IN THE 21ST CENTURY
Justin Romberg, Georgia Tech, United States
SS-L13.6: FLAT FOCUS: DEPTH OF FIELD ANALYSIS FOR THE FLATCAM LENSLESS IMAGING SYSTEM
Jasper Tan, Vivek Boominathan, Ashok Veeraraghavan, Richard Baraniuk, Rice University, United States
SS-L14.1: REDUCED-COMPLEXITY DIGITAL PREDISTORTION FOR MASSIVE MIMO
Mahmoud Abdelaziz, Lauri Anttila, Mikko Valkama, Tampere University of Technology, Finland
SS-L14.2: MINIMUM PROBABILITY-OF-ERROR PERTURBATION PRECODING FOR THE ONE-BIT MASSIVE MIMO DOWNLINK
A.Lee Swindlehurst, Amodh Saxena, Amine Mezghani, University of California, Irvine, United States; Inbar Fijalkow, Universite Cergy-Pointoise, France
SS-L14.3: ACHIEVABLE UPLINK RATES FOR MASSIVE MIMO WITH COARSE QUANTIZATION
Christopher Mollén, Linköping University, Sweden; Junil Choi, POSTECH, Republic of Korea; Erik G. Larsson, Linköping University, Sweden; Robert Heath, Jr., The University of Texas at Austin, United States
SS-L14.4: TIME-DOMAIN CHANNEL ESTIMATION FOR WIDEBAND MILLIMETER WAVE SYSTEMS WITH HYBRID ARCHITECTURE
Kiran Venugopal, Ahmed Alkhateeb, Robert Heath, Jr., The University of Texas at Austin, United States; Nuria González Prelcic, The University of Vigo, Spain
SS-L14.5: HYBRID BEAMFORMING DESIGN WITH FINITE-RESOLUTION PHASE-SHIFTERS FOR FREQUENCY SELECTIVE MASSIVE MIMO CHANNELS
Daniel Araújo, Federal University of Ceará, Brazil; Eleftherios Karipidis, Ericsson, Sweden; André Almeida, João Mota, Federal University of Ceará, Brazil
SS-L14.6: HYBRID BEAMFORMING IN UPLINK MASSIVE MIMO SYSTEMS IN THE PRESENCE OF BLOCKERS
Xinlin Zhang, Chalmres University of Technology, Sweden; Mikael Coldrey, Ericsson AB, Sweden; Thomas Eriksson, Mats Viberg, Chalmres University of Technology, Sweden
SS-L15.1: LEARNING SPARSE GRAPHS UNDER SMOOTHNESS PRIOR
Sundeep Prabhakar Chepuri, Delft University of Technology, Netherlands; Sijia Liu, University of Michigan, Ann Arbor, United States; Geert Leus, Delft University of Technology, Netherlands; Alfred O. Hero, University of Michigan, Ann Arbor, Netherlands
SS-L15.2: TOPOLOGY INFERENCE OF DIRECTED GRAPHS USING NONLINEAR STRUCTURAL VECTOR AUTOREGRESSIVE MODELS
Yanning Shen, Brian Baingana, Georgios B. Giannakis, University of Minnesota, United States
SS-L15.3: ROBUST NETWORK TOPOLOGY INFERENCE
Santiago Segarra, Massachusetts Institute of Technology, United States; Antonio G. Marques, King Juan Carlos University, Spain; Gonzalo Mateos, University of Rochester, United States; Alejandro Ribeiro, University of Pennsylvania, United States
SS-L15.4: GRAPH LEARNING UNDER SPARSITY PRIORS
Hermina Petric Maretic, Dorina Thanou, Pascal Frossard, École Polytechnique Fédérale de Lausanne, Switzerland
SS-L15.5: GEOMETRY-ADAPTED GAUSSIAN RANDOM FIELD REGRESSION
Zhen Zhang, Mianzhi Wang, Yijian Xiang, Arye Nehorai, Washington University in St. Louis, United States
SS-L15.6: INFERRING SPARSE GRAPHS FROM SMOOTH SIGNALS WITH THEORETICAL GUARANTEES
Michael G. Rabbat, McGill University, Canada
SS-L16.1: FULL-DUPLEX RELAYING UNDER I/Q IMBALANCE USING IMPROPER GAUSSIAN SIGNALING
Sidrah Javed, Osama Amin, Mohamed-Slim Alouini, King Abdullah University of Science and Technology, Saudi Arabia
SS-L16.2: FULL-DUPLEX SELF-INTERFERENCE MITIGATION ANALYSIS FOR DIRECT CONVERSION RF NONLINEAR MIMO CHANNEL MODELS WITH IQ MISMATCH
Daniel Bliss, Arizona State University, United States
SS-L16.3: JOINT POWER AND SUBCARRIER ALLOCATION FOR MULTICARRIER FULL-DUPLEX SYSTEMS
Yan Sun, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany; Derrick Wing Kwan Ng, The University of New South Wales, Australia; Robert Schober, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany
SS-L16.4: JOINT ANALOG AND DIGITAL SELF-INTERFERENCE CANCELLATION AND FULL-DUPLEX SYSTEM PERFORMANCE
Visa Tapio, Hirley Alves, Markku Juntti, University of Oulu, Finland
SS-L16.5: INBAND FULL-DUPLEX RADIO ACCESS SYSTEM WITH SELF-BACKHAULING: TRANSMIT POWER MINIMIZATION UNDER QOS REQUIREMENTS
Dani Korpi, Tampere University of Technology, Finland; Taneli Riihonen, Aalto University, Finland; Mikko Valkama, Tampere University of Technology, Finland
SS-L16.6: PREDISTORTION FOR POWER AMPLIFIER LINEARIZATION IN FULL-DUPLEX TRANSCEIVERS WITHOUT EXTRA RF CHAIN
Fernando H. Gregorio, Gustavo J. González, Juan E. Cousseau, Universidad Nacional del Sur - CONICET, Argentina; Taneli Riihonen, Risto Wichman, Aalto University School of Electrical Engineering, Finland