AASP-L1.1: MULTI-CHANNEL DEEP CLUSTERING: DISCRIMINATIVE SPECTRAL AND SPATIAL EMBEDDINGS FOR SPEAKER-INDEPENDENT SPEECH SEPARATION
Zhong-Qiu Wang, The Ohio State University, United States; Jonathan Le Roux, John R. Hershey, Mitsubishi Electric Research Laboratories, United States
AASP-L1.2: SINGLE CHANNEL SPEECH SEPARATION WITH CONSTRAINED UTTERANCE LEVEL PERMUTATION INVARIANT TRAINING USING GRID LSTM
Chenglin Xu, Wei Rao, Nanyang Technological University, Singapore; Xiong Xiao, Microsoft, United States; Eng Siong Chng, Nanyang Technological University, Singapore; Haizhou Li, National University of Singapore, Singapore
AASP-L1.3: DEEP ATTRACTOR NETWORKS FOR SPEAKER RE-IDENTIFICATION AND BLIND SOURCE SEPARATION
Lukas Drude, Thilo von Neumann, Reinhold Haeb-Umbach, Paderborn University, Germany
AASP-L1.4: DEEP CLUSTERING WITH GATED CONVOLUTIONAL NETWORKS
Li Li, University of Tsukuba, Japan; Hirokazu Kameoka, NTT Communication Science Laboratories, NTT Corporation, Japan
AASP-L1.5: GATED RESIDUAL NETWORKS WITH DILATED CONVOLUTIONS FOR SUPERVISED SPEECH SEPARATION
Ke Tan, Jitong Chen, DeLiang Wang, The Ohio State University, United States
AASP-L1.6: GENERATIVE ADVERSARIAL SOURCE SEPARATION
Cem Subakan, Paris Smaragdis, University of Illinois at Urbana-Champaign, United States
AASP-L2.1: JOINT SEPARATION AND DEREVERBERATION OF REVERBERANT MIXTURES WITH DETERMINED MULTICHANNEL NON-NEGATIVE MATRIX FACTORIZATION
Hideaki Kagami, Keio University, Japan; Hirokazu Kameoka, NTT Corporation, Japan; Masahiro Yukawa, Keio University, Japan
AASP-L2.2: MULTICHANNEL SPEECH SEPARATION WITH RECURRENT NEURAL NETWORKS FROM HIGH-ORDER AMBISONICS RECORDINGS
Laureline Perotin, Orange Labs, France; Romain Serizel, Universite de Lorraine, France; Emmanuel Vincent, INRIA, France; Alexandre Guerin, Orange Labs, France
AASP-L2.3: MULTICHANNEL KALMAN FILTERING FOR SPEECH EHNANCEMENT
Wei Xue, Alastair H. Moore, Mike Brookes, Patrick A. Naylor, Imperial College London, United Kingdom
AASP-L2.4: A BAYESIAN HIERARCHICAL MODEL FOR SPEECH ENHANCEMENT
Yaron Laufer, Sharon Gannot, Bar-Ilan University, Israel
AASP-L2.5: PERMUTATION-FREE CGMM: COMPLEX GAUSSIAN MIXTURE MODEL WITH INVERSE WISHART MIXTURE MODEL BASED SPATIAL PRIOR FOR PERMUTATION-FREE SOURCE SEPARATION AND SOURCE COUNTING
Juan Azcarreta, Nobutaka Ito, Shoko Araki, Tomohiro Nakatani, NTT Corporation, Japan
AASP-L2.6: AUDIO SOURCE SEPARATION WITH MAGNITUDE PRIORS: THE BEADS MODEL
Antoine Liutkus, INRIA, France; Christian Rohlfing, Institut fur Nachrichtentechnik, RWTH, Aachen University, Germany; Antoine Deleforge, INRIA, France
AASP-L5.1: LEARNING-BASED ACOUSTIC SOURCE-MICROPHONE DISTANCE ESTIMATION USING THE COHERENT-TO-DIFFUSE POWER RATIO
Andreas Brendel, Walter Kellermann, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
AASP-L5.2: STOCHASTIC ONLINE DICTIONARY LEARNING FOR SPEECH SOURCE LOCALIZATION AND SEPARATION IN SPHERICAL HARMONIC DOMAIN
Vishnuvardhan Varanasi, Rajesh Hegde, Indian Institute of Technology Kanpur, India
AASP-L5.3: MULTI-VIEW SOURCE LOCALIZATION BASED ON POWER RATIOS
Bracha Laufer-Goldshtein, Bar-Ilan University, Israel; Ronen Talmon, Israel Cohen, The Technion - Israel Institute of Technology, Israel; Sharon Gannot, Bar-Ilan University, Israel
AASP-L5.4: POTENTIAL-FIELD-BASED ACTIVE EXPLORATION FOR ACOUSTIC SIMULTANEOUS LOCALIZATION AND MAPPING
Christopher Schymura, Dorothea Kolossa, Ruhr-Universität Bochum, Germany
AASP-L5.5: LOUDSPEAKER AND LISTENING POSITION ESTIMATION USING SMART SPEAKERS
Jesper Kjær Nielsen, Aalborg University/Bang & Olufsen, Denmark
AASP-L5.6: ROBUST FULL-SPHERE BINAURAL SOUND SOURCE LOCALIZATION
Benjamin Hammond, Philip Jackson, University of Surrey, United Kingdom
AASP-L3.1: A LARGE-SCALE STUDY OF LANGUAGE MODELS FOR CHORD PREDICTION
Filip Korzeniowski, Johannes Kepler University Linz, Austria; David R. W. Sears, Texas Tech University, United States; Gerhard Widmer, Johannes Kepler University Linz, Austria
AASP-L3.2: EFFECTIVE COVER SONG IDENTIFICATION BASED ON SKIPPING BIGRAMS
Xiaoshuo Xu, Xiaoou Chen, Deshun Yang, Peking University, China
AASP-L3.3: TOWARDS COMPLETE POLYPHONIC MUSIC TRANSCRIPTION: INTEGRATING MULTI-PITCH DETECTION AND RHYTHM QUANTIZATION
Eita Nakamura, Kyoto University, Japan; Emmanouil Benetos, Queen Mary University of London, United Kingdom; Kazuyoshi Yoshii, Kyoto University, Japan; Simon Dixon, Queen Mary University of London, United Kingdom
AASP-L3.4: MUSIC STRUCTURE BOUNDARY DETECTION AND LABELLING BY A DECONVOLUTION OF PATH-ENHANCED SELF-SIMILARITY MATRIX
Tian Cheng, Jordan Smith, Masataka Goto, National Institute of Advanced Industrial Science and Technology (AIST), Japan
AASP-L3.5: RETRIEVAL OF SONG LYRICS FROM SUNG QUERIES
Anna M. Kruspe, Fraunhofer IDMT, Germany; Masataka Goto, National Institute of Advanced Industrial Science and Technology (AIST), Japan
AASP-L3.6: SINGING STYLE INVESTIGATION BY RESIDUAL SIAMESE CONVOLUTIONAL NEURAL NETWORKS
Cheng-I Wang, University of California, San Diego, United States; George Tzanetakis, University of Victoria, Canada
AASP-L6.1: LARGE-SCALE WEAKLY SUPERVISED AUDIO CLASSIFICATION USING GATED CONVOLUTIONAL NEURAL NETWORK
Yong Xu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley, University of Surrey, United Kingdom
AASP-L6.2: UNSUPERVISED LEARNING OF SEMANTIC AUDIO REPRESENTATIONS
Aren Jansen, Manoj Plakal, Ratheet Pandya, Daniel Ellis, Shawn Hershey, Jiayang Liu, R. Channing Moore, Rif A. Saurous, Google Inc., United States
AASP-L6.3: MULTI-SCALE RECURRENT NEURAL NETWORK FOR SOUND EVENT DETECTION
Rui Lu, Tsinghua University, China; Zhiyao Duan, University of Rochester, United States; Changshui Zhang, Tsinghua University, China
AASP-L6.4: MAXIMAL FIGURE-OF-MERIT EMBEDDING FOR MULTI-LABEL AUDIO CLASSIFICATION
Ivan Kukanov, A*STAR, Singapore; Ville Hautamaki, University of Eastern Finland, Finland; Kong Aik Lee, A*STAR, Finland
AASP-L6.5: ENABLING EARLY AUDIO EVENT DETECTION WITH NEURAL NETWORKS
Huy Phan, University of Oxford, United Kingdom; Philipp Koch, University of Luebeck, Germany; Ian McLoughlin, University of Kent, United Kingdom; Alfred Mertins, University of Luebeck, Germany
AASP-L6.6: ACOUSTIC SCENE CLASSIFICATION USING DISCRETE RANDOM HASHING FOR LAPLACIAN KERNEL MACHINES
Abelino Jimenez, Benjamin Elizalde, Bhiksha Raj, Carnegie Mellon University, United States
AASP-L4.1: SINGING EXPRESSION TRANSFER FROM ONE VOICE TO ANOTHER FOR A GIVEN SONG
Sangeon Yong, Juhan Nam, KAIST, Korea (South)
AASP-L4.2: SINGING VOICE CORRECTION USING CANONICAL TIME WARPING
Yin-Jyun Luo, Academia Sinica, Taiwan; Ming-Tso Chen, Tai-Shih Chi, National Chiao Tung University, Taiwan; Li Su, Academia Sinica, Taiwan
AASP-L4.3: CREPE: A CONVOLUTIONAL REPRESENTATION FOR PITCH ESTIMATION
Jong Wook Kim, Justin Salamon, Peter Li, Juan Pablo Bello, New York University, United States
AASP-L4.4: BAYESIAN ANISOTROPIC GAUSSIAN MODEL FOR AUDIO SOURCE SEPARATION
Paul Magron, Tuomas Virtanen, Tampere University of Technology, Finland
AASP-L4.5: NONNEGATIVE TENSOR FACTORIZATION FOR SOURCE SEPARATION OF LOOPS IN AUDIO
Jordan Smith, Masataka Goto, National Institute of Advanced Industrial Science and Technology (AIST), France
AASP-L4.6: UNIFYING LOCAL AND GLOBAL METHODS FOR HARMONIC-PERCUSSIVE SOURCE SEPARATION
Christian Dittmar, Patricio López-Serrano, Meinard Müller, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
AASP-L7.1: COMPRESSIVE SAMPLING OF SOUND FIELDS USING MOVING MICROPHONES
Fabrice Katzberg, Radoslaw Mazur, Marco Maass, Philipp Koch, Alfred Mertins, University of Luebeck, Germany
AASP-L7.2: ESTIMATION OF THE SOUND FIELD AT ARBITRARY POSITIONS IN DISTRIBUTED MICROPHONE NETWORKS BASED ON DISTRIBUTED RAY SPACE TRANSFORM
Mirco Pezzoli, Federico Borra, Fabio Antonacci, Augusto Sarti, Stefano Tubaro, Politecnico di Milano, Italy
AASP-L7.3: SEMI-SUPERVISED LEARNING WITH DEEP NEURAL NETWORKS FOR RELATIVE TRANSFER FUNCTION INVERSE REGRESSION
Ziteng Wang, Junfeng Li, Yonghong Yan, University of Chinese Academy of Sciences, China; Emmanuel Vincent, Inria Nancy, France
AASP-L7.4: SOUND FIELD DECOMPOSITION USING SPICE DECOMPOSITION
Satoru Emura, Noboru Harada, NTT Corporation, Japan
AASP-L7.5: ACOUSTIC REFLECTOR LOCALIZATION AND CLASSIFICATION
Luca Remaggi, Hansung Kim, Philip Jackson, University of Surrey, United Kingdom; Filippo Maria Fazi, University of Southampton, United Kingdom; Adrian Hilton, University of Surrey, United Kingdom
AASP-L7.6: DUAL-CHANNEL MODULATION ENERGY METRIC FOR DIRECT-TO-REVERBERATION RATIO ESTIMATION
Sebastian Braun, International Audio Laboratories Erlangen, Germany; Joao Santos, University of Quebec, Montreal, Canada; Emanuel A. P. Habets, International Audio Laboratories Erlangen, Germany; Tiago Falk, University of Quebec, Montreal, Canada
AASP-P1.1: MODE DOMAIN SPATIAL ACTIVE NOISE CONTROL USING SPARSE SIGNAL REPRESENTATION
Yu Maeno, Yuki Mitsufuji, Sony Corporation, Japan; Thushara Abhayapala, The Australian National University, Australia
AASP-P1.2: REFERENCE SIGNAL GENERATION FOR BROADBAND ANC SYSTEMS IN REVERBERANT ROOMS
Fei Ma, The Australian National University, Australia; Wen Zhang, Northwestern Polytechnical University, China; Thushara Abhayapala, The Australian National University, Australia
AASP-P1.3: ON THE COMPARISON OF TWO ROOM COMPENSATION / DEREVERBERATION METHODS EMPLOYING ACTIVE ACOUSTIC BOUNDARY ABSORPTION
Jacob Donley, Christian Ritz, University of Wollongong, Australia; W. Bastiaan Kleijn, Victoria University of Wellington, New Zealand
AASP-P1.4: AN EFFICIENT RESIDUAL ECHO SUPPRESSION FOR MULTI-CHANNEL ACOUSTIC ECHO CANCELLATION BASED ON THE FREQUENCY-DOMAIN ADAPTIVE KALMAN FILTER
Jan Franzen, Tim Fingscheidt, Technische Universität Braunschweig, Germany
AASP-P1.5: MULTIPLE-INPUT NEURAL NETWORK-BASED RESIDUAL ECHO SUPPRESSION
Guillaume Carbajal, Romain Serizel, Emmanuel Vincent, Université de Lorraine, CNRS, Inria, LORIA, France; Eric Humbert, Invoxia SAS, France
AASP-P1.6: NONLINEAR ACOUSTIC ECHO CANCELLATION USING ELITIST RESAMPLING PARTICLE FILTER
Mhd Modar Halimeh, Christian Huemmer, Walter Kellermann, University of Erlangen-Nuremberg, Germany
AASP-P1.7: FREQUENCY-DOMAIN ADAPTIVE KALMAN FILTER WITH FAST RECOVERY OF ABRUPT ECHO-PATH CHANGES
Gerald Enzner, Feiran Yang, Ruhr-Universität Bochum, Germany
AASP-P1.8: ACTIVE OCCLUSION CANCELLATION WITH HEAR-THROUGH EQUALIZATION FOR HEADPHONES
Stefan Liebich, Raphael Brandis, Johannes Fabry, Peter Jax, Peter Vary, RWTH Aachen University, Germany
AASP-P1.9: EXTENSION AND EVALUATION OF A SPECTRO-TEMPORAL MODULATION METHOD TO IMPROVE ACOUSTIC FEEDBACK PERFORMANCE IN HEARING AIDS
Meng Guo, Oticon A/S, Denmark; Martin Kuriger, Christophe Lesimple, Bernhard Kuenzle, Bernafon AG, Switzerland
AASP-P1.10: BINAURAL SPECTRAL COMPLEXITY REDUCTION OF MUSIC SIGNALS FOR COCHLEAR IMPLANT LISTENERS
Johannes Gauer, Anil Nagathil, Rainer Martin, Ruhr-Universität Bochum, Germany
AASP-P2.1: GRASSMANN SINGULAR SPECTRUM ANALYSIS FOR BIOACOUSTICS CLASSIFICATION
Lincon Sales de Souza, University of Tsukuba, Japan; Bernardo Bentes Gatto, Federal University of Amazonas, Brazil; Kazuhiro Fukui, University of Tsukuba, Japan
AASP-P2.2: COMPRESSED CONVEX SPECTRAL EMBEDDING FOR BIRD SPECIES CLASSIFICATION
Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan, Indian Institute of Technology Mandi, India
AASP-P2.3: BIRDVOX-FULL-NIGHT: A DATASET AND BENCHMARK FOR AVIAN FLIGHT CALL DETECTION
Vincent Lostanlen, Cornell University, United States; Justin Salamon, New York University, United States; Andrew Farnsworth, Steve Kelling, Cornell University, United States; Juan Pablo Bello, New York University, United States
AASP-P2.4: AUTOMATIC BIRD VOCALIZATION IDENTIFICATION BASED ON FUSION OF SPECTRAL PATTERN AND TEXTURE FEATURES
Sai-Hua Zhang, Zhao Zhao, Zhi-Yong Xu, Nanjing University of Science and Technology, China; Kristen Bellisario, Bryan C. Pijanowski, Purdue University, United States
AASP-P2.5: ROBUST DETECTION OF JITTERED MULTIPLY REPEATING AUDIO EVENTS USING ITERATED TIME-WARPED ACF
Frank Kurth, Kevin Wilkinghoff, Fraunhofer FKIE, Germany
AASP-P2.6: ACOUSTIC ANALYSIS AND ASSESSMENT OF THE KNEE IN OSTEOARTHRITIS DURING WALKING
Costas Yiallourides, Alastair H. Moore, Edouard Auvinet, Catherine Van Der Straeten, Patrick A. Naylor, Imperial College London, United Kingdom
AASP-P2.7: A PARAMETRIC APPROACH FOR CLASSIFICATION OF DISTORTIONS IN PATHOLOGICAL VOICES
Amir Hossein Poorjam, Aalborg University, Denmark; Max A. Little, Aston University ; Massachusetts Institute of Technology, United Kingdom; Jesper Rindom Jensen, Mads Græsbøll Christensen, Aalborg University, Denmark
AASP-P2.8: F0 ESTIMATION FOR DNN-BASED ULTRASOUND SILENT SPEECH INTERFACES
Tamas Grosz, Gabor Gosztolya, MTA-SZTE Research Group on Artificial Intelligence, Hungary; Laszlo Toth, University of Szeged, Hungary; Tamas Gabor Csapo, Budapest University of Technology and Economics, Hungary; Alexandra Marko, Eotvos Lorand University, Hungary
AASP-P2.9: A SUPERVISED APPROACH TO GLOBAL SIGNAL-TO-NOISE RATIO ESTIMATION FOR WHISPERED AND PATHOLOGICAL VOICES
Amir Hossein Poorjam, Aalborg University, Denmark; Max A. Little, Aston University ; Massachusetts Institute of Technology, United Kingdom; Jesper Rindom Jensen, Mads Græsbøll Christensen, Aalborg University, Denmark
AASP-P2.10: VERBAL PROTEST RECOGNITION IN CHILDREN WITH AUTISM
Jonah Casebeer, Hillol Sarker, Murtaza Dhuliawala, Nicholas Fay, Mary Pietrowicz, Amar Das, IBM Research, United States
AASP-P3.1: CONFIDENCE BASED ACOUSTIC EVENT DETECTION
Xianjun Xia, Roberto Togneri, The University of Western Australia, Australia; Ferdous Sohel, Murdoch University, Australia; David Huang, The University of Western Australia, Australia
AASP-P3.2: FACEBOOK ACOUSTIC EVENTS DATASET
Haoqi Fan, Jiatong Zhou, Christian Fuegen, Facebook, United States
AASP-P3.3: AUDIO SET CLASSIFICATION WITH ATTENTION MODEL: A PROBABILISTIC PERSPECTIVE
Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley, University of Surrey, United Kingdom
AASP-P3.4: A JOINT SEPARATION-CLASSIFICATION MODEL FOR SOUND EVENT DETECTION OF WEAKLY LABELLED DATA
Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley, University of Surrey, United Kingdom
AASP-P3.5: KNOWLEDGE TRANSFER FROM WEAKLY LABELED AUDIO USING CONVOLUTIONAL NEURAL NETWORK FOR SOUND EVENTS AND SCENES
Anurag Kumar, Carnegie Mellon University, United States; Maksim Khadkevich, Christian Fuegen, Facebook, United States
AASP-P3.6: REDUCING MODEL COMPLEXITY FOR DNN BASED LARGE-SCALE AUDIO CLASSIFICATION
Yuzhong Wu, Tan Lee, The Chinese University of Hong Kong, China
AASP-P3.7: WEIGHTED AND MULTI-TASK LOSS FOR RARE AUDIO EVENT DETECTION
Huy Phan, University of Oxford, United Kingdom; Martin Krawczyk-Becker, Timo Gerkmann, University of Hamburg, Germany; Alfred Mertins, University of Luebeck, Germany
AASP-P3.8: INVESTIGATING THE EFFECT OF SOUND-EVENT LOUDNESS ON CROWDSOURCED AUDIO ANNOTATIONS
Mark Cartwright, Justin Salamon, Ayanna Seals, Oded Nov, Juan Pablo Bello, New York University, United States
AASP-P3.9: GENERATING SOUND WORDS FROM AUDIO SIGNALS OF ACOUSTIC EVENTS WITH SEQUENCE-TO-SEQUENCE MODEL
Shota Ikawa, The University of Tokyo, Japan; Kunio Kashino, NTT Corporation, Japan
AASP-P3.10: PYROOMACOUSTICS: A PYTHON PACKAGE FOR AUDIO ROOM SIMULATION AND ARRAY PROCESSING ALGORITHMS
Robin Scheibler, Tokyo Metropolitan University, Japan; Eric Bezzam, EPFL-IC-LCAV, Switzerland; Ivan Dokmanic, University of Illinois at Urbana-Champaign, United States
AASP-P7.1: SIMILARITY MEASURES FOR VOCAL-BASED DRUM SAMPLE RETRIEVAL USING DEEP CONVOLUTIONAL AUTO-ENCODERS
Adib Mehrabi, Keunwoo Choi, Simon Dixon, Mark Sandler, Queen Mary University of London, United Kingdom
AASP-P7.2: SCORE-ALIGNED POLYPHONIC MICROTIMING ESTIMATION
Xueyang Wang, Ryan Stables, Birmingham City University, United Kingdom; Bochen Li, Zhiyao Duan, University of Rochester, United States
AASP-P7.3: SAMPLE-LEVEL CNN ARCHITECTURES FOR MUSIC AUTO-TAGGING USING RAW WAVEFORMS
Taejun Kim, University of Seoul, Korea (South); Jongpil Lee, Juhan Nam, KAIST, Korea (South)
AASP-P7.4: VOCAL MELODY EXTRACTION USING PATCH-BASED CNN
Li Su, Academia Sinica, Taiwan
AASP-P7.5: MUSIC CHORD RECOGNITION BASED ON MIDI-TRAINED DEEP FEATURE AND BLSTM-CRF HYBIRD DECODING
Yiming Wu, Wei Li, Fudan University, China
AASP-P7.6: A HYBRID NEURAL NETWORK BASED ON THE DUPLEX MODEL OF PITCH PERCEPTION FOR SINGING MELODY EXTRACTION
Hsin Chou, Ming-Tso Chen, Tai-Shih Chi, National Chiao Tung University, Taiwan
AASP-P7.7: POLYPHONIC MUSIC SEQUENCE TRANSDUCTION WITH METER-CONSTRAINED LSTM NETWORKS
Adrien Ycart, Emmanouil Benetos, Queen Mary University of London, United Kingdom
AASP-P7.8: A PARALLEL FUSION APPROACH TO PIANO MUSIC TRANSCRIPTION BASED ON CONVOLUTIONAL NEURAL NETWORK
Fu'ze Cong, Shuchang Liu, Li Guo, Beijing University of Posts and Telecommunications, China; Geraint Wiggins, Queen Mary University of London, United Kingdom
AASP-P7.9: COVER SONG IDENTIFICATION USING SONG-TO-SONG CROSS-SIMILARITY MATRIX WITH CONVOLUTIONAL NEURAL NETWORK
Juheon Lee, Sungkyun Chang, Sang Keun Choe, Kyogu Lee, Seoul National University, Korea (South)
AASP-P7.10: AUTOMATIC MUSIC TRANSCRIPTION LEVERAGING GENERALIZED CEPSTRAL FEATURES AND DEEP LEARNING
Yu-Te Wu, Berlin Chen, National Taiwan Normal University, Taiwan; Li Su, Academia Sinica, Taiwan
AASP-P5.1: A JOINT PERSPECTIVE OF PERIODICALLY EXCITED EFFICIENT NLMS ALGORITHM AND INVERSE CYCLIC CONVOLUTION
Stefan Kuehl, Sebastian Nagel, Tobias Kabzinski, Christiane Antweiler, Peter Jax, RWTH Aachen University, Germany
AASP-P5.2: IMPROVED NOISE CHARACTERIZATION FOR RELATIVE IMPULSE RESPONSE ESTIMATION
Tharun Adithya Srikrishnan, Bhaskar D. Rao, University of California, San Diego, United States; Ritwik Giri, Tao Zhang, Starkey Hearing Technologies, United States
AASP-P5.3: JOINT ADAPTIVE IMPULSE RESPONSE ESTIMATION AND INVERSE FILTERING FOR ENHANCING IN-CAR AUDIO
Ajay Dagar, Satyavolu Sai Nitish, Rajesh Hegde, Indian Institute of Technology Kanpur, India
AASP-P5.4: ESTIMATION OF TIME-VARYING ROOM IMPULSE RESPONSES OF MULTIPLE SOUND SOURCES FROM OBSERVED MIXTURE AND ISOLATED SOURCE SIGNALS
Joonas Nikunen, Tuomas Virtanen, Tampere University of Technology, Finland
AASP-P5.5: ESTIMATION OF SOURCE PANNING PARAMETERS AND SEGMENTATION OF STEREOPHONIC MIXTURES
Jacob Moller Hjerrild, Mads Græsbøll Christensen, Aalborg University, Denmark
AASP-P5.6: PRIMARY-AMBIENT SOURCE SEPARATION FOR UPMIXING TO SURROUND SOUND SYSTEMS
Karim M. Ibrahim, National University of Singapore, Singapore; Mahmoud Allam, Nile University, Singapore
AASP-P5.7: CLASSIFICATION VS. REGRESSION IN SUPERVISED LEARNING FOR SINGLE CHANNEL SPEAKER COUNT ESTIMATION
Fabian-Robert Stoeter, Soumitro Chakrabarty, Bernd Edler, Emanuel A. P. Habets, International Audio Laboratories Erlangen, Germany
AASP-P5.8: JOINT LATE REVERBERATION AND NOISE POWER SPECTRAL DENSITY ESTIMATION IN A SPATIALLY HOMOGENEOUS NOISE FIELD
Ina Kodrasi, Idiap Research Institute, Switzerland; Simon Doclo, University of Oldenburg, Germany
AASP-P5.9: SPEECH DEREVERBERATION BASED ON CONVEX OPTIMIZATION ALGORITHMS FOR GROUP SPARSE LINEAR PREDICTION
Daniele Giacobello, Sonos Inc., United States; Tobias Jensen, Aalborg University, Denmark
AASP-P5.10: COMPLEXITY REDUCTION OF EIGENVALUE DECOMPOSITION-BASED DIFFUSE POWER SPECTRAL DENSITY ESTIMATORS USING THE POWER METHOD
Marvin Tammen, Ina Kodrasi, Simon Doclo, University of Oldenburg, Germany
AASP-P6.1: MITIGATION OF NONLINEAR DISTORTION IN SOUND ZONE CONTROL BY CONSTRAINING INDIVIDUAL LOUDSPEAKER DRIVER AMPLITUDES
Xiaohui Ma, Patrick J. Hegarty, Dynaudio A/S, Denmark; Jakob Juul Larsen, Aarhus University, Denmark
AASP-P6.2: REALIZING DIRECTIONAL SOUND SOURCE IN FDTD METHOD BY ESTIMATING INITIAL VALUE
Daiki Takeuchi, Kohei Yatabe, Yasuhiro Oikawa, Waseda University, Japan
AASP-P6.3: SOUND FIELD REPRODUCTION WITH EXTERIOR CANCELLATION USING ANALYTICAL WEIGHTING OF HARMONIC COEFFICIENTS
Natsuki Ueno, Shoichi Koyama, Hiroshi Saruwatari, The University of Tokyo, Japan
AASP-P6.4: 3D EXTERIOR SOUNDFIELD REPRODUCTION USING A PLANAR LOUDSPEAKER ARRAY
Peng Chen, Prasanga Samarasinghe, Thushara Abhayapala, Australian National University, Australia
AASP-P6.5: 2.5D MULTIZONE REPRODUCTION USING WEIGHTED MODE MATCHING
Wen Zhang, Junqing Zhang, Northwestern Polytechnical University, China; Thushara Abhayapala, The Australian National University, Australia; Lijun Zhang, Northwestern Polytechnical University, China
AASP-P6.6: TEMPERATURE ROBUST ACTIVE-COMPENSATED SOUND FIELD REPRODUCTION USING IMPULSE RESPONSE SHAPING
Terence Betlehem, Samsung Electronics, Korea (South); Lakshmi Krishnan, Paul Teal, Victoria University of Wellington, New Zealand
AASP-P6.7: INDIVIDUAL DIFFERENCE OF ULTRASONIC TRANSDUCERS FOR PARAMETRIC ARRAY LOUDSPEAKER
Shota Minami, Jun Kuroda, Yasuhiro Oikawa, Waseda University, Japan
AASP-P6.8: A UNIFIED APPROACH TO GENERATING SOUND ZONES USING VARIABLE SPAN LINEAR FILTERS
Taewoong Lee, Jesper Kjær Nielsen, Jesper Rindom Jensen, Mads Græsbøll Christensen, Audio Analysis Lab, CREATE, Aalborg University, Denmark
AASP-P6.9: DIRECTIVITY SYNTHESIS WITH MULTIPOLES COMPRISING A CLUSTER OF FOCUSED SOURCES USING A LINEAR LOUDSPEAKER ARRAY
Kimitaka Tsutsumi, Nippon Telegraph and Telephone Corporation, Japan; Yoichi Haneda, The University of Electro-Communications, Japan; Ken'Ichi Noguchi, Hideaki Takada, Nippon Telegraph and Telephone Corporation, Japan
AASP-P6.10: JOINT SOURCE AND SENSOR PLACEMENT FOR SOUND FIELD CONTROL BASED ON EMPIRICAL INTERPOLATION METHOD
Shoichi Koyama, The University of Tokyo, Japan; Gilles Chardon, CentraleSupelec, France; Laurent Daudet, Institut Langevin, France
AASP-P4.1: ON THE DESIGN OF ROBUST STEERABLE FREQUENCY-INVARIANT BEAMPATTERNS WITH CONCENTRIC CIRCULAR MICROPHONE ARRAYS
Gongping Huang, Jingdong Chen, Northwestern Polytechnical University, Canada; Jacob Benesty, University of Quebec, Canada
AASP-P4.2: ON SPEECH ENHANCEMENT USING MICROPHONE ARRAYS IN THE PRESENCE OF CO-DIRECTIONAL INTERFERENCE
Xin Leng, Jingdong Chen, Northwestern Polytechnical University, China; Benesty Jacob, University of Quebec, Canada; Israel Cohen, Technion-Israel Institute of Technology, Israel
AASP-P4.3: GSC-BASED BINAURAL SPEAKER SEPARATION PRESERVING SPATIAL CUES
Mehdi Zohourian, Rainer Martin, Ruhr-Universität Bochum, Germany
AASP-P4.4: GENERALISED SIDELOBE CANCELLER FOR NOISE REDUCTION IN HEARING DEVICES USING AN EXTERNAL MICROPHONE
Randall Ali, Toon van Waterschoot, Marc Moonen, KU Leuven, Belgium
AASP-P4.5: ON SDW-MWF AND VARIABLE SPAN LINEAR FILTER WITH APPLICATION TO SPEECH RECOGNITION IN NOISY ENVIRONMENTS
Ziteng Wang, Lu Yin, Junfeng Li, Yonghong Yan, University of Chinese Academy of Sciences, China
AASP-P4.6: FRAME-BY-FRAME CLOSED-FORM UPDATE FOR MASK-BASED ADAPTIVE MVDR BEAMFORMING
Takuya Higuchi, Keisuke Kinoshita, Nobutaka Ito, Shigeki Karita, Tomohiro Nakatani, Nippon Telegraph and Telephone Corporation, Japan
AASP-P4.7: ROBUST MASK ESTIMATION BY INTEGRATING NEURAL NETWORK-BASED AND CLUSTERING-BASED APPROACHES FOR ADAPTIVE ACOUSTIC BEAMFORMING
Ying Zhou, Yanmin Qian, Shanghai Jiao Tong University, China
AASP-P4.8: ITERATIVE DEEP NEURAL NETWORKS FOR SPEAKER-INDEPENDENT BINAURAL BLIND SPEECH SEPARATION
Qingju Liu, Yong Xu, Philip Coleman, Philip Jackson, Wenwu Wang, University of Surrey, United Kingdom
AASP-P4.9: MAXIMUM-LIKELIHOOD ONLINE SPEAKER DIARIZATION IN NOISY MEETINGS BASED ON CATEGORICAL MIXTURE MODEL AND PROBABILISTIC SPATIAL DICTIONARY
Nobutaka Ito, Takashi Makino, Shoko Araki, Tomohiro Nakatani, NTT Corporation, Japan
AASP-P4.10: PASSIVE ONLINE GEOMETRY CALIBRATION OF ACOUSTIC SENSOR NETWORKS
Axel Plinge, Fraunhofer IIS, Germany; Gernot A. Fink, TU Dortmund University, Germany; Sharon Gannot, Bar-Ilan University, Israel
AASP-P8.1: PERCEPTUALLY MOTIVATED ANALYSIS OF NUMERICALLY SIMULATED HEAD-RELATED TRANSFER FUNCTIONS GENERATED BY VARIOUS 3D SURFACE SCANNING SYSTEMS
Manoj Dinakaran, Huawei Technologies Co., Ltd, Germany; Fabian Brinkmann, Technical University of Berlin, Germany; Stine Harder, Technical University of Denmark, Denmark; Robert Pelzer, Technical University of Berlin, Germany; Peter Grosche, Huawei Technologies Co., Ltd, Germany; Rasmus R. Paulsen, Technical University of Denmark, Denmark; Stefan Weinzierl, Technical University of Berlin, Germany
AASP-P8.2: INFLUENCE OF THE NUMBER OF LOUDSPEAKERS ON THE TIMBRE IN MIXED-ORDER AMBISONICS REPRODUTION
Haiming Mai, Bosun Xie, Jianliang Jiang, South China University of Technology, China
AASP-P8.3: MATCHING PROJECTION DECODING METHOD FOR AMBISONICS SYSTEM
Tianshu Qu, Zhichao Huang, Yue Qiao, Xihong Wu, Peking University, China
AASP-P8.4: BINAURAL RENDERING OF DYNAMIC HEAD AND SOUND SOURCE ORIENTATION USING HIGH-RESOLUTION HRTF AND RETARDED TIME
Christoph Urbanietz, Gerald Enzner, Ruhr-Universität Bochum, Germany
AASP-P8.5: CASCADE: CHANNEL-AWARE STRUCTURED COSPARSE AUDIO DECLIPPER
Clément Gaultier, INRIA, France; Nancy Bertin, IRISA, France; Rémi Gribonval, INRIA, France
AASP-P8.6: SPARSE NON-LOCAL SIMILARITY MODELING FOR AUDIO INPAINTING
Ichrak Toumi, Valentin Emiya, Laboratoire d'Informatique et Systèmes ( LIS) , Aix Marseille University, Université de Toulon, CNRS, France
AASP-P8.7: AUDIO SOFT DECLIPPPING BASED ON CONSTRAINED WEIGHTED LEAST SQUARES
Flavio Avila, Michel Tcheou, Rio de Janeiro State University, Brazil; Luiz Biscainho, Federal University of Rio de Janeiro, Brazil
AASP-P8.8: INSTLISTENER: AN EXPRESSIVE PARAMETER ESTIMATION SYSTEM IMITATING HUMAN PERFORMANCES OF MONOPHONIC MUSICAL INSTRUMENTS
Zhengshan Shi, Stanford University, United States; Tomoyasu Nakano, Masataka Goto, National Institute of Advanced Industrial Science and Technology (AIST), Japan
AASP-P8.9: AUDIO STYLE TRANSFER
Eric Grinstein, Ngoc Q. K. Duong, Alexey Ozerov, Patrick Perez, Technicolor, France
AASP-P9.1: BLIND ESTIMATION OF THE SPEECH TRANSMISSION INDEX FOR SPEECH QUALITY PREDICTION
Prem Seetharaman, Gautham Mysore, Paris Smaragdis, Bryan Pardo, Northwestern University, United States
AASP-P9.2: BSS EVAL OR PEASS? PREDICTING THE PERCEPTION OF SINGING-VOICE SEPARATION
Dominic Ward, Hagen Wierstorf, Russell D. Mason, Emad M. Grais, Mark D. Plumbley, University of Surrey, United Kingdom
AASP-P9.3: THE DIMENSIONS OF PERCEPTUAL QUALITY OF SOUND SOURCE SEPARATION
Estefania Cano, Judith Liebetrau, Fraunhofer IDMT, Germany; Derry Fitzgerald, Cork Institute of Technology, Ireland; Karlheinz Brandenburg, Fraunhofer IDMT, Germany
AASP-P9.4: CROWDSOURCED PAIRWISE-COMPARISON FOR SOURCE SEPARATION EVALUATION
Mark Cartwright, New York University, United States; Bryan Pardo, Northwestern University, United States; Gautham Mysore, Adobe Research, United States
AASP-P9.5: AN INSTRUMENTAL INTELLIGIBILITY METRIC BASED ON INFORMATION THEORY
Steven Van Kuyk, Victoria University of Wellington, New Zealand; W. Bastiaan Kleijn, Victoria University of Wellington and Delft University of Technology, New Zealand; Richard Hendriks, Delft University of Technology, Netherlands
AASP-P9.6: IMPROVED DETECTION OF SEMI-PERCUSSIVE ONSETS IN AUDIO USING TEMPORAL REASSIGNMENT
Ken O'Hanlon, Mark Sandler, Queen Mary University of London, United Kingdom
AASP-P9.7: SHIFT-INVARIANT KERNEL ADDITIVE MODELLING FOR AUDIO SOURCE SEPARATION
Delia Fano Yela, Queen Mary University of London, United Kingdom; Sebastian Ewert, Spotify, United Kingdom; Ken O'Hanlon, Mark Sandler, Queen Mary University of London, United Kingdom
AASP-P9.8: FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR
Di Sheng, Gyorgy Fazekas, Queen Mary University of London, United Kingdom
AASP-P9.9: PARAMETRIC APPROXIMATION OF PIANO SOUND BASED ON KAUTZ MODEL WITH SPARSE LINEAR PREDICTION
Kenji Kobayashi, Daiki Takeuchi, Mio Iwamoto, Kohei Yatabe, Yasuhiro Oikawa, Waseda University, Japan
AASP-P9.10: MODAL DECOMPOSITION OF MUSICAL INSTRUMENT SOUND VIA ALTERNATING DIRECTION METHOD OF MULTIPLIERS
Yoshiki Masuyama, Tsubasa Kusano, Kohei Yatabe, Yasuhiro Oikawa, Waseda University, Japan
AASP-P10.1: A SINGLE-CHANNEL NOISE REDUCTION FILTERING/SMOOTHING TECHNIQUE IN THE TIME DOMAIN
Ningning Pan, Northwestern Polytechnical University, China; Jacob Benesty, University of Quebec, Canada; Jingdong Chen, Northwestern Polytechnical University, China
AASP-P10.2: NONLINEAR SPEECH ENHANCEMENT UNDER SPEECH PSD UNCERTAINTY
Martin Krawczyk-Becker, Timo Gerkmann, University of Hamburg, Germany
AASP-P10.3: TIME-FREQUENCY NETWORKS FOR AUDIO SUPER-RESOLUTION
Teck Yian Lim, Raymond Yeh, Yijia Xu, Minh N. Do, Mark Hasegawa-Johnson, University of Illinois at Urbana-Champaign, United States
AASP-P10.4: ALPHA-STABLE LOW-RANK PLUS RESIDUAL DECOMPOSITION FOR SPEECH ENHANCEMENT
Umut Simsekli, Telecom ParisTech, France; Halil Erdogan, Sabanci University, Turkey; Simon Leglaive, Telecom ParisTech, France; Antoine Liutkus, INRIA, France; Roland Badeau, Gael Richard, Telecom ParisTech, France
AASP-P10.5: PHASE CORRECTED TOTAL VARIATION FOR AUDIO SIGNALS
Kohei Yatabe, Yasuhiro Oikawa, Waseda University, Japan
AASP-P10.6: A PRIORI SNR ESTIMATION USING DISCRIMINATIVE NON-NEGATIVE MATRIX FACTORIZATION
Ziyi Xu, Samy Elshamy, Tim Fingscheidt, Technische Universität Braunschweig, Germany
AASP-P10.7: MULTIPITCH ESTIMATION USING BLOCK SPARSE BAYESIAN LEARNING AND INTRA-BLOCK CLUSTERING
Liming Shi, Jesper Rindom Jensen, Jesper Kjaer Nielsen, Mads Græsbøll Christensen, Audio Analysis Lab, CREATE, Aalborg University, Denmark
AASP-P10.8: SPECTRAL-ENVELOPE-BASED LEAST SIGNIFICANT BIT MANAGEMENT FOR LOW-DELAY BIT-ERROR-ROBUST SPEECH CODING
Ryosuke Sugiura, Yutaka Kamamoto, Takehiro Moriya, NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan
AASP-P10.9: WAVENET BASED LOW RATE SPEECH CODING
W. Bastiaan Kleijn, Victoria University of Wellington, New Zealand; Felicia S. C. Lim, Alejandro Luebs, Jan Skoglund, Google Inc., United States; Florian Stimberg, DeepMind, United Kingdom; Quan Wang, Google Inc., United States; Thomas C. Walters, DeepMind, United Kingdom
AASP-P10.10: NONUNIFORM ORTHOGONAL FILTERBANKS BASED ON MDCT ANALYSIS/SYNTHESIS AND TIME-DOMAIN ALIASING REDUCTION
Nils Werner, Bernd Edler, International Audio Laboratories Erlangen, Germany
AASP-P11.1: SOURCE-AWARE CONTEXT NETWORK FOR SINGLE-CHANNEL MULTI-SPEAKER SPEECH SEPARATION
Zeng-Xi Li, Yan Song, Li-Rong Dai, University of Science and Technology of China, China; Ian McLoughlin, University of Kent, United Kingdom
AASP-P11.2: ALTERNATIVE OBJECTIVE FUNCTIONS FOR DEEP CLUSTERING
Zhong-Qiu Wang, The Ohio State University, United States; Jonathan Le Roux, John R. Hershey, Mitsubishi Electric Research Laboratories, United States
AASP-P11.3: DUAL FREQUENCY- AND BLOCK-PERMUTATION ALIGNMENT FOR DEEP LEARNING BASED BLOCK-ONLINE BLIND SOURCE SEPARATION
Lukas Drude, Paderborn University, Germany; Takuya Higuchi, Keisuke Kinoshita, Tomohiro Nakatani, NTT Corporation, Japan; Reinhold Haeb-Umbach, Paderborn University, Germany
AASP-P11.4: TASNET: TIME-DOMAIN AUDIO SEPARATION NETWORK FOR REAL-TIME, SINGLE-CHANNEL SPEECH SEPARATION
Yi Luo, Nima Mesgarani, Columbia University, United States
AASP-P11.5: BITWISE NEURAL NETWORKS FOR EFFICIENT SINGLE-CHANNEL SOURCE SEPARATION
Minje Kim, Indiana University, United States; Paris Smaragdis, University of Illinois at Urbana-Champaign, United States
AASP-P11.6: END-TO-END SOUND SOURCE ENHANCEMENT USING DEEP NEURAL NETWORK IN THE MODIFIED DISCRETE COSINE TRANSFORM DOMAIN
Yuma Koizumi, Noboru Harada, NTT Media Intelligence Laboratories, Japan; Yoichi Haneda, The University of Electro-Communications, Japan; Yusuke Hioka, The University of Auckland, New Zealand; Kazunori Kobayashi, NTT Media Intelligence Laboratories, Japan
AASP-P11.7: CBLDNN-BASED SPEAKER-INDEPENDENT SPEECH SEPARATION VIA GENERATIVE ADVERSARIAL TRAINING
Chenxing Li, Institute of Automation, Chinese Academy of Sciences, China; Lei Zhu, AI Lab, Rokid Inc., China; Shuang Xu, Institute of Automation, Chinese Academy of Sciences, China; Peng Gao, AI Lab, Rokid Inc., China; Bo Xu, Institute of Automation, Chinese Academy of Sciences, China
AASP-P11.8: STATISTICAL SPEECH ENHANCEMENT BASED ON PROBABILISTIC INTEGRATION OF VARIATIONAL AUTOENCODER AND NON-NEGATIVE MATRIX FACTORIZATION
Yoshiaki Bando, Masato Mimura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara, Kyoto University, Japan
AASP-P11.9: MONAURAL SINGING VOICE SEPARATION WITH SKIP-FILTERING CONNECTIONS AND RECURRENT INFERENCE OF TIME-FREQUENCY MASK
Stylianos Ioannis Mimilakis, Fraunhofer Institute for Digital Media Technology, Germany; Konstantinos Drossos, Tampere University of Technology, Finland; Joao Felipe Santos, University of Montreal, Canada; Gerald Schuller, Fraunhofer Institute for Digital Media Technology, Germany; Tuomas Virtanen, Tampere University of Technology, Finland; Yoshua Bengio, University of Montreal, Canada
AASP-P11.10: SVSGAN: SINGING VOICE SEPARATION VIA GENERATIVE ADVERSARIAL NETWORK
Zhe-Cheng Fan, Yen-Lin Lai, Jyh-Shing Jang, Computer Science and Information Engineering, Taiwan
AASP-P12.1: CORRELATED TENSOR FACTORIZATION FOR AUDIO SOURCE SEPARATION
Kazuyoshi Yoshii, Kyoto University/RIKEN, Japan
AASP-P12.2: INTERFERENCE REDUCTION ON FULL-LENGTH LIVE RECORDINGS
Diego Di Carlo, Antoine Liutkus, INRIA, France; Ken Deguernel, INRIA, IRCAM, France
AASP-P12.3: INDEPENDENT LOW-RANK MATRIX ANALYSIS BASED ON MULTIVARIATE COMPLEX EXPONENTIAL POWER DISTRIBUTION
Rintaro Ikeshita, Yohei Kawaguchi, Hitachi Ltd., Japan
AASP-P12.4: VECTORWISE COORDINATE DESCENT ALGORITHM FOR SPATIALLY REGULARIZED INDEPENDENT LOW-RANK MATRIX ANALYSIS
Yoshiki Mitsui, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, The University of Tokyo, Japan; Yu Takahashi, Kazunobu Kondo, Yamaha Corporation, Japan
AASP-P12.5: ADAPTIVE CODING OF NON-NEGATIVE FACTORIZATION PARAMETERS WITH APPLICATION TO INFORMED SOURCE SEPARATION
Max Bläser, Christian Rohlfing, Yingbo Gao, Mathias Wien, RWTH Aachen University, Germany
AASP-P12.6: MULTISOURCE MINT USING CONVOLUTIVE TRANSFER FUNCTION
Xiaofei Li, INRIA Grenoble Rhone-Alpes, France; Sharon Gannot, Bar-Ilan University, Israel; Laurent Girin, Université Grenoble Alpes, France; Radu Horaud, INRIA Grenoble Rhone-Alpes, France
AASP-P12.7: BITWISE SOURCE SEPARATION ON HASHED SPECTRA: AN EFFICIENT POSTERIOR ESTIMATION SCHEME USING PARTIAL RANK ORDER METRICS
Lijiang Guo, Minje Kim, Indiana University, United States
AASP-P12.8: FAST AND ADAPTIVE BLIND AUDIO SOURCE SEPARATION USING RECURSIVE LEVENBERG-MARQUARDT SYNCHROSQUEEZING
Dominique Fourer, Geoffroy Peeters, UMR STMS (IRCAM - CNRS - UPMC), France
AASP-P12.9: BLIND SOURCE SEPARATION USING MIXTURES OF ALPHA-STABLE DISTRIBUTIONS
Nicolas Keriven, Antoine Deleforge, INRIA Rennes - Bretagne Atlantique, France; Antoine Liutkus, Inria and LIRMM, Montpellier, France
AASP-P12.10: DETERMINED BLIND SOURCE SEPARATION VIA PROXIMAL SPLITTING ALGORITHM
Kohei Yatabe, Waseda University, Japan; Daichi Kitamura, The University of Tokyo, Japan
BISP-L1.1: WATER EQUIVALENT THICKNESS ESTIMATION VIA SPARSE DECONVOLUTION OF PROTON RADIOGRAPHY DATA
Sylvain Deffet, Benoit Macq, Universite catholique de Louvain, Belgium; Francois Vander Stappen, Ion Beam Applications (IBA), Belgium; Paolo Farace, Hospital of Trento, Italy
BISP-L1.2: ANATOMY-GUIDED INVERSE-GRADIENT SUSCEPTIBILITY ARTIFACT CORRECTION METHOD FOR HIGH-RESOLUTION FMRI
Soan Thi Minh Duong, Mark Matthias Schira, Son Lam Phung, Abdesselam Bouzerdoum, Harriet Grace Boyd Taylor, University of Wollongong, Australia
BISP-L1.3: FAST VARIATIONAL LEVEL SET BASED IMAGE SEGMENTATION VIA TWO-SCALE FILTERING MODEL
Lingfeng Wang, Ying Wang, Chunhong Pan, NLPR, China
BISP-L1.4: RESTORATION OF ULTRASOUND IMAGES USING SPATIALLY-VARIANT KERNEL DECONVOLUTION
Mihai I. Florea, Aalto University, Finland; Adrian Basarab, Denis Kouame, University of Toulouse, France; Sergiy A. Vorobyov, Aalto University, Finland
BISP-L1.5: OCT VOLUMETRIC DATA RESTORATION VIA PRIMAL-DUAL PLUG-AND-PLAY METHOD
Shogo Muramatsu, Samuel Choi, Niigata University, Japan; Shunsuke Ono, Tokyo Institute of Technology, Japan; Takeru Ota, Fumiaki Nin, Hiroshi Hibino, Niigata University, Japan
BISP-L1.6: A NOVEL IMAGE-SPECIFIC TRANSFER APPROACH FOR PROSTATE SEGMENTATION IN MR IMAGES
Pinzhuo Tian, Lei Qi, Yinghuan Shi, Nanjing University, China; Luping Zhou, University of Wollongong, Australia; Yang Gao, Nanjing University, China; Dinggang Shen, University of North Carolina at Chapel Hill, United States
BISP-L2.1: CORTICO-MUSCULAR COHERENCE ENHANCEMENT VIA SPARSE SIGNAL REPRESENTATION
Yuhang Xu, King's College London, United Kingdom; Qi Yu, Wei Dai, Imperial College London, United Kingdom; Zoran Cvetkovic, Verity Mcclelland, King's College London, United Kingdom
BISP-L2.2: FAST DICTIONARY-BASED APPROACH FOR MASS SPECTROMETRY DATA ANALYSIS
Afef Cherni, Universite de Strasbourg, France; Emilie Chouzenoux, Universite Paris-Est Marne-la-Vallee, France; Marc-Andre Delsuc, Universite de Strasbourg, France
BISP-L2.3: WAVEFORM-BASED MULTI-STIMULUS CODING FOR BRAIN-COMPUTER INTERFACES BASED ON STEADY-STATE VISUAL EVOKED POTENTIALS
Yutaro Tanji, Tokyo University of Agriculture and Technology, Japan; Masaki Nakanishi, University of California, San Diego, United States; Kaori Suefusa, Toshihisa Tanaka, TUAT, Japan
BISP-L2.4: CAPTURING SHARED AND INDIVIDUAL INFORMATION IN FMRI DATA
Javier Turek, Intel Labs, United States; Cameron Ellis, Lena Skalaban, Nicholas Turk-Browne, Yale University, United States; Theodore Willke, Intel Labs, United States
BISP-L2.5: PRACTICAL CONSIDERATIONS OF A BMI APPLICATION FOR DETECTING ACUTE PAIN SIGNALS
Sile Hu, Zhengdong Xiao, Zhejiang University, China; Qiaosheng Zhang, Louise Urien, Jing Wang, Zhe Chen, New York University School of Medicine, United States
BISP-L2.6: WAVELET SHRINKAGE AND THRESHOLDING BASED ROBUST CLASSIFICATION FOR BRAIN-COMPUTER INTERFACE
Taposh Banerjee, Harvard University, United States; John Choi, Bijan Pesaran, New York University, United States; Demba Ba, Vahid Tarokh, Harvard University, United States
BISP-L3.1: TIME-VARYING DELAY ESTIMATION USING COMMON LOCAL ALL-PASS FILTERS WITH APPLICATION TO SURFACE ELECTROMYOGRAPHY
Christopher Gilliam, Adrian Bingham, RMIT University, Australia; Thierry Blu, The Chinese University of Hong Kong, China; Beth Jelfs, RMIT University, Australia
BISP-L3.2: GRAPH REGULARIZED TENSOR FACTORIZATION FOR SINGLE-TRIAL EEG ANALYSIS
Hayato Maki, Hiroki Tanaka, Sakriani Sakti, Satoshi Nakamura, Nara Institute of Science and Technology, Japan
BISP-L3.3: EEG-BASED AUDITORY ATTENTION DECODING USING STEERABLE BINAURAL SUPERDIRECTIVE BEAMFORMER
Ali Aroudi, Daniel Marquardt, Simon Doclo, University of Oldenburg, Germany
BISP-L3.4: AN ENSEMBLE LEARNING APPROACH TO DETECT EPILEPTIC SEIZURES FROM LONG INTRACRANIAL EEG RECORDINGS
Jean-Baptiste Schiratti, Telecom ParisTech, France; Jean-Eudes Le Douget, Michel Le Van Quyen, Bioserenity, France; Slim Essid, Telecom ParisTech, France; Alexandre Gramfort, INRIA, France
BISP-L3.5: EXPLORING THE NON-LOCAL SIMILARITY PRESENT IN VARIATIONAL MODE FUNCTIONS FOR EFFECTIVE ECG DENOISING
Pratik Singh, Gayadhar Pradhan, National Institute of Technology Patna, India
BISP-L3.6: EFFECTIVE NOISE REMOVAL AND UNIFIED MODEL OF HYBRID FEATURE SPACE OPTIMIZATION FOR AUTOMATED CARDIAC ANOMALY DETECTION USING PHONOCARDIOGARM SIGNALS
Arijit Ukil, Soma Bandyopadhyay, Chetanya Puri, Rituraj Singh, Arpan Pal, Tata Consultancy Services, India
BISP-P1.1: A BAYESIAN FRAMEWORK TO OPTIMIZE DOUBLE BAND SPECTRA SPATIAL FILTERS FOR MOTOR IMAGERY CLASSIFICATION
Soroosh Shahtalebi, Arash Mohammadi, Concordia University, Canada
BISP-P1.2: CELL SUBCLASS IDENTIFICATION IN SINGLE-CELL RNA-SEQUENCING DATA USING ORTHOGONAL NONNEGATIVE MATRIX FACTORIZATION
Shuai Wang, Peng Wu, Manqi Zhou, Tsung-Hui Chang, The Chinese University of Hong Kong, Shenzhen, China; Song Wu, Shenzhen University, China
BISP-P1.3: EPILEPTIC STATE SEGMENTATION WITH TEMPORAL-CONSTRAINED CLUSTERING
Kang Lin, Yu Qi, Shaozhe Feng, Qi Lian, Gang Pan, Yueming Wang, Zhejiang University, China
BISP-P1.4: STOCHASTIC DYNAMICAL SYSTEMS BASED LATENT STRUCTURE DISCOVERY IN HIGH-DIMENSIONAL TIME SERIES
Qi She, Rosa Chan, City University of Hong Kong, China
BISP-P1.5: SEMI-SUPERVISED MULTIPLE FEATURE FUSION FOR VIDEO PREFERENCE ESTIMATION
Akira Toyoda, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan
BISP-P1.6: MULTIPLE FEATURE FUSION FOR AUTOMATIC EMOTION RECOGNITION USING EEG SIGNALS
Ningjie Liu, Yuchun Fang, Shanghai University, China; Ling Li, University of Kent, United Kingdom; Limin Hou, Fenglei Yang, Shanghai University, China; Yike Guo, Imperial College London, United Kingdom
BISP-P1.7: A PRAGMATIC AUTHENTICATION SYSTEM USING ELECTROENCEPHALOGRAPHY SIGNALS
Ayman Khalafallah, Aly Ibrahim, Bahieeldeen Shehab, Hisham Raslan, Omar Eltobgy, Shady Elbaroudy, Alexandria University, Egypt
BISP-P1.8: NEGATIVE BINOMIAL OPTIMIZATION FOR BIOMEDICAL STRUCTURAL VARIANT SIGNAL RECONSTRUCTION
Mario Banuelos, Suzanne Sindi, Roummel F. Marcia, University of California, Merced, United States
BISP-P2.1: EAR-EEG FOR DETECTING INTER-BRAIN SYNCHRONISATION IN CONTINUOUS COOPERATIVE MULTI-PERSON SCENARIOS
Apit Hemakom, Valentin Goverdovsky, Danilo P. Mandic, Imperial College London, United Kingdom
BISP-P2.2: DEEP TRANSFER LEARNING FOR EEG-BASED BRAIN COMPUTER INTERFACE
Chuanqi Tan, Fuchun Sun, Wenchang Zhang, Tsinghua University, China
BISP-P2.3: LOW COMPLEXITY HEART RATE MEASUREMENT FROM WEARABLE WRIST-TYPE PHOTOPLETHYSMOGRAPHIC SENSORS ROBUST TO MOTION ARTIFACTS
Mahdi Boloursaz Mashhadi, ECE Department, University of Central Florida, United States; Majid Farhadi, Mahmoud Essalat, Farokh Marvasti, Advanced Communications Research Institute (ACRI), Sharif University of Technology, Iran
BISP-P2.4: FIRST-ORDER DIFFERENCE ENERGY REGULARIZATION FOR ENHANCING RECONSTRUCTION PERFORMANCE IN COMPRESSIVE SENSING OF FOOT-GAIT SIGNALS
Jeevan Pant, Sridhar Krishnan, Ryerson University, Canada
BISP-P2.5: NON-ITERATIVE MISSING SAMPLES RECOVERY OF ECG SIGNALS BY LMMSE ESTIMATION FOR AN AUTOREGRESSIVE CYCLOSTATIONARY MODEL
Amir Weiss, Arie Yeredor, Tel-Aviv University, Israel
BISP-P2.6: USING ACCELEROMETRIC AND GYROSCOPIC DATA TO IMPROVE BLOOD PRESSURE PREDICTION FROM PULSE TRANSIT TIME USING RECURRENT NEURAL NETWORK
Shrimanti Ghosh, Ankur Banerjee, Nilanjan Ray, Peter Wood, Pierre Boulanger, Raj Padwal, University of Alberta, Canada
BISP-P2.7: MULTIPLE-MODEL AND REDUCED-ORDER KALMAN FILTERING FOR PATHOLOGICAL HAND TREMOR EXTRACTION
Vahid Khorasani Ghassab, Arash Mohammadi, Concordia University, Canada; Seyed Farokh Atashzar, Rajni V. Patel, Western University, Canada
BISP-P2.8: WAKE-BPAT: WAVELET-BASED ADAPTIVE KALMAN FILTERING FOR BLOOD PRESSURE ESTIMATION VIA FUSION OF PULSE ARRIVAL TIMES
Golnar Kalantar, Sourav K. Mukhopadhyay, Concordia University, Canada; Fatemeh Marefat, Pedram Mohseni, Case Western Reserve University, United States; Arash Mohammadi, Concordia University, Canada
BISP-P3.1: TIME SERIES AND MORPHOLOGICAL FEATURE EXTRACTION FOR CLASSIFYING CORONARY ARTERY DISEASE FROM PHOTOPLETHYSMOGRAM
Rohan Banerjee, Sakyajit Bhattacharya, Shahnawaz Alam, Tata Consultancy Services, India
BISP-P3.2: DATA-DRIVEN MULTI-CHANNEL FILTER DESIGN WITH PEAK-INTERFERENCE SUPPRESSION FOR THRESHOLD-BASED SPIKE SORTING IN HIGH-DENSITY NEURAL PROBES
Jasper Wouters, KU Leuven, Belgium; Fabian Kloosterman, Neuro-Electronics Research Flanders, Belgium; Alexander Bertrand, KU Leuven, Belgium
BISP-P3.3: ON-TALK AND OFF-TALK DETECTION: A DISCRETE WAVELET TRANSFORM ANALYSIS OF ELECTROENCEPHALOGRAM
Fasih Haider, Hayakawa Akira, Trinity College Dublin, Ireland; Saturnino Luz, university of Edinburgh, United Kingdom; Carl Vogel, Nick Campbell, Trinity College Dublin, Ireland
BISP-P3.4: IVA-BASED SPATIO-TEMPORAL DYNAMIC CONNECTIVITY ANALYSIS IN LARGE-SCALE FMRI DATA
Suchita Bhinge, University of Maryland, Baltimore County, United States; Vince D. Calhoun, The Mind Research Network, United States; Tulay Adali, University of Maryland, Baltimore County, United States
BISP-P3.5: CLASSIFIER CASCADE TO AID IN DETECTION OF EPILEPTIFORM TRANSIENTS IN INTERICTAL EEG
Elham Bagheri, Jing Jin, Justin Dauwels, Nanyang Technological University, Singapore; Sydney S. Cash, Brandon M Westover, Harvard Medical School, Massachusetts General Hospital, United States
BISP-P3.6: FUNCTIONAL CONNECTIVITY STATES OF THE BRAIN USING RESTRICTED BOLTZMANN MACHINES
Zeynep Kahraman, Bogazici University, Turkey; Selin Aviyente, Michigan State University, United States
BISP-P3.7: GRAPH SIGNAL PROCESSING OF HUMAN BRAIN IMAGING DATA
Weiyu Huang, University of Pennsylvania, United States; Thomas Bolton, Ecole Polytechnique Fédérale de Lausanne, Switzerland; John Medaglia, Drexel University, United States; Danielle Bassett, Alejandro Ribeiro, University of Pennsylvania, United States; Dimitri Van De Ville, Ecole Polytechnique Fédérale de Lausanne, Switzerland
BISP-P3.8: COMBINING MULTIPLE DEEP FEATURES FOR GLAUCOMA CLASSIFICATION
Annan Li, Yunhong Wang, Beijing University of Aeronautics and Astronautics, China; Jun Cheng, Jiang Liu, Ningbo Institute of Industrial Technology, Chinese Academy of Sciences., China
BISP-P4.1: GENERALIZATION OF DEEP NEURAL NETWORKS FOR CHEST PATHOLOGY CLASSIFICATION IN X-RAYS USING GENERATIVE ADVERSARIAL NETWORKS
Hojjat Salehinejad, Shahrokh Valaee, University of Toronto, Canada; Tim Dowdell, Errol Colak, Joseph Barfett, St. Michael's Hospital, University of Toronto, Canada
BISP-P4.2: AUTOMATIC MOTION ARTIFACT DETECTION FOR WHOLE-BODY MAGNETIC RESONANCE IMAGING
Thomas Kuestner, Marvin Jandt, Annika Liebgott, Lukas Mauch, University of Stuttgart, Germany; Petros Martirosian, Fabian Bamberg, Konstantin Nikolaou, Sergios Gatidis, Fritz Schick, University of Tuebingen, Germany; Bin Yang, University of Stuttgart, Germany
BISP-P4.3: CONTEXT-SENSITIVE DEEP LEARNING FOR DETECTION OF CLUSTERED MICROCALCIFICATIONS IN MAMMOGRAMS
Juan Wang, Yongyi Yang, Illinois Institute of Technology, United States
BISP-P4.4: SIMULTANEOUS ACCURATE DETECTION OF PULMONARY NODULES AND FALSE POSITIVE REDUCTION USING 3D CNNS
Yulei Qin, Hao Zheng, Shanghai Jiao Tong University, China; Yue-Min Zhu, INSA Lyon, France; Jie Yang, Shanghai Jiao Tong University, China
BISP-P4.5: FINE-GRAINED WOUND TISSUE ANALYSIS USING DEEP NEURAL NETWORK
Hossein Nejati, Hamed Alizadeh Ghazijahani, Milad Abdollahzadeh, Touba Malekzadeh, Cheung Ngai-Man, Singapore University of Technology and Design, Singapore; Hock Lee Kheng, Leng Low Lian, Bright Vision Hospital, Singapore
BISP-P4.6: INTEGRATING PERCEIVERS NEURAL-PERCEPTUAL RESPONSES USING A DEEP VOTING FUSION NETWORK FOR AUTOMATIC VOCAL EMOTION DECODING
Wan-Ting Hsieh, Hao-Chun Yang, Ya-Tse Wu, Fu-Sheng Tsai, National Tsing Hua University, Taiwan; Li-Wei Kuo, National Health Research Institute, Taiwan; Chi-Chun Lee, National Tsing Hua University, Taiwan
BISP-P4.7: AUTOMATIC SEGMENTATION AND CARDIOPATHY CLASSIFICATION IN CARDIAC MRI IMAGES BASED ON DEEP NEURAL NETWORKS
Yakun Chang, Baoyu Song, Cheolkon Jung, Liyu Huang, Xidian University, China
BISP-P4.8: PULMONARY TEXTURES CLASSIFICATION USING A DEEP NEURAL NETWORK WITH APPEARANCE AND GEOMETRY CUES
Rui Xu, Zhen Cong, Xinchen Ye, Dalian University of Technology, China; Yasushi Hirano, Shoji Kido, Yamaguchi University, Japan
BISP-P4.9: DIABETIC RETINOPATHY DETECTION BASED ON DEEP CONVOLUTIONAL NEURAL NETWORKS
Yi-Wei Chen, National Chiao Tung University, Taiwan; Tung-Yu Wu, Wing-Hung Wong, Stanford University, United States; Chen-Yi Lee, National Chiao Tung University, Taiwan
BISP-P4.10: DEEPTONGUE: TONGUE SEGMENTATION VIA RESNET
Bingqian Lin, Yanyun Qu, Xiamen University, China; Junwei Xie, Imperial Vision Technology, China; Cuihua Li, Xiamen University, China
BISP-P5.1: AN ATTENUATION ADAPTED PULSE COMPRESSION TECHNIQUE TO ENHANCE THE BANDWIDTH AND THE RESOLUTION USING ULTRAFAST ULTRASOUND IMAGING
Yanis Mehdi Benane, Denis Bujoreanu, CREATIS, France; Roberto Lavarello, Laboratorio de Imagenes Medicas, Peru; Christian Cachard, Olivier Basset, CREATIS, France
BISP-P5.2: QUANTITATIVE LUNG NODULE ANALYSIS SYSTEM (NAS) FROM CHEST CT
Amal Farag, Salwa Elshazly, Kentucky Imaging Technologies, United States; Asem Ali, Islam Alkabbany, Albert Seow, Aly Farag, University of Louisville, United States
BISP-P5.3: VOXEL-BASED LESION-SYMPTOM MAPPING: A NONPARAMETRIC BAYESIAN APPROACH
Mame Diarra Fall, Emilie Lavau, Universite d'Orleans, France; Pascal Auzou, Centre Hospitalier Regional d'Orleans, France
BISP-P5.4: REMOVING RING ARTIFACTS IN CBCT IMAGES VIA GENERATIVE ADVERSARIAL NETWORK
Shuyang Zhao, Jianwu Li, Beijing Institute of Technology, China; Qirun Huo, Capital Normal University, China
BISP-P5.5: REMOTE PHOTOPLETHYSMOGRAPHY USING NONLINEAR MODE DECOMPOSITION
Halil Demirezen, Cigdem Eroglu Erdem, Marmara University, Turkey
BISP-P5.6: AUTOMATED DETECTION OF HIGH FDG UPTAKE REGIONS IN CT IMAGES
Annika Liebgott, University of Stuttgart, Germany; Sergios Gatidis, University Hospital of Tuebingen, Germany; Florian Liebgott, University of Stuttgart, Germany; Konstantin Nikolaou, University Hospital of Tuebingen, Germany; Bin Yang, University of Stuttgart, Germany
BISP-P5.7: QUANTIFICATION OF LONGITUDINAL CHANGES IN RETINAL VASCULATURE FROM WIDE-FIELD FLUORESCEIN ANGIOGRAPHY VIA A NOVEL REGISTRATION AND CHANGE DETECTION APPROACH
Li Ding, Ajay Kuriyan, Rajeev Ramchandran, Gaurav Sharma, University of Rochester, United States
BISP-P5.8: A MULTI-SEED 3D LOCAL GRAPH MATCHING MODEL FOR TRACKING OF DENSELY PACKED CELLS
Min Liu, Yalan Liu, Weili Qian, Hunan University, China
BISP-P5.9: CONCURRENT CLUTTER AND NOISE SUPPRESSION VIA LOW RANK PLUS SPARSE OPTIMIZATION FOR NON-CONTRAST ULTRASOUND FLOW DOPPLER PROCESSING IN MICROVASCULATURE
Mahdi Bayat, Mostafa Fatemi, Mayo Clinic, United States
DISPS-L1.1: FAST-CONVERGENCE SINGULAR VALUE DECOMPOSITION FOR TRACKING TIME-VARYING CHANNELS IN MASSIVE MIMO SYSTEMS
Pei-Yun Tsai, Yi Chang, Jian-Lin Li, National Central University, Taiwan
DISPS-L1.2: AN ANALYTICAL METHOD TO DETERMINE MINIMUM PER-LAYER PRECISION OF DEEP NEURAL NETWORKS
Charbel Sakr, Naresh Shanbhag, University of Illinois at Urbana-Champaign, United States
DISPS-L1.3: A RELIABLE VIDEO STORAGE ARCHITECTURE IN HYBRID SLC/MLC NAND FLASH
Yimei Kang, Xingyu Zhang, Beihang University, China; Zili Shao, The Hong Kong Polytechnic University, China; Renhai Chen, Tianjin Key Laboratory of Cognitive and Application, Tianjin University, China; Yi Wang, Shenzhen University, China
DISPS-L1.4: EFFICIENT DEEP CONVOLUTIONAL NEURAL NETWORKS ACCELERATOR WITHOUT MULTIPLICATION AND RETRAINING
Weihong Xu, Zaichen Zhang, Xiaohu You, Chuan Zhang, Southeast University, China
DISPS-L1.5: EMG ACQUISITION AND HAND POSE CLASSIFICATION FOR BIONIC HANDS FROM RANDOMLY-PLACED SENSORS
Sumit Raurale, John McAllister, Jesus Martinez del Rincon, Queen's University Belfast, United Kingdom
DISPS-L1.6: A SHUFFLED-BASED ITERATIVE DEMODULATION AND DECODING SCHEME FOR LDPC CODED FLASH MEMORY
Li-Chung Lee, Wei-Min Lai, Mao-Ruei Li, Yeong-Luh Ueng, National Tsing Hua University, Taiwan
DISPS-P1.1: A 203 FPS VLSI ARCHITECTURE OF IMPROVED DENSE TRAJECTORIES FOR REAL-TIME HUMAN ACTION RECOGNITION
Zhi-Yi Lin, Jia-Lin Chen, Liang-Gee Chen, National Taiwan University, Taiwan
DISPS-P1.2: RESOURCE EFFICIENT HARDWARE IMPLEMENTATION FOR REAL-TIME TRAFFIC SIGN RECOGNITION
Huai-Mao Weng, Ching-Te Chiu, National Tsing Hua University, Taiwan
DISPS-P1.3: A 320M PIXEL/S VLSI ARCHITECTURE DESIGN OF WEIGHTED MODE FILTER FOR 4K ULTRA-HD DEPTH UPSAMPLING
Bo-Hsiang Yang, Li-De Chen, Chao-Tsung Huang, National Tsing Hua University, Taiwan
DISPS-P1.4: A NOVEL SELECTIVE ACTIVE NOISE CONTROL ALGORITHM TO OVERCOME PRACTICAL IMPLEMENTATION ISSUE
Dongyuan Shi, Bhan Lam, Woon-Seng Gan, NTU DSP LAB, Singapore
DISPS-P1.5: PVDC: A BINARY DESCRIPTOR USING PORE-VALLEY DISK CODE STRUCTURE FOR HIGH-RESOLUTION PARTIAL FINGERPRINT RECOGNITION
Pei-Yin Chou, Ching-Te Chiu, National Tsing Hua University, Taiwan
DISPS-P1.6: HIGH-ACCURACY STOCHASTIC COMPUTING-BASED FIR FILTER DESIGN
Kazi Ahmed, Bo Yuan, Myung Lee, City College of New York, United States
DISPS-P1.7: EADNET: EFFICIENT ARCHITECTURE FOR DECOMPOSED CONVOLUTIONAL NEURAL NETWORKS
Fangxuan Sun, Jun Lin, Zhongfeng Wang, Nanjing University, China
DISPS-P2.1: LOW COMPLEXITY IMPLEMENTATION OF CARRIER AND SYMBOL TIMING SYNCHRONIZATION FOR A FULLY DIGITAL DOWNHOLE TELEMETRY SYSTEM
Yifei Yang, National University of Singapore, Singapore; Joni Polili Lie, Halliburton Far East, Singapore; Alberto Quintero, Halliburton, United States
DISPS-P2.2: A SUPERVISED STDP-BASED TRAINING ALGORITHM FOR LIVING NEURAL NETWORKS
Yuan Zeng, Lehigh University, United States; Kevin Devincentis, Carnegie Mellon University, United States; Yao Xiao, University of Science and Technology of China, China; Zubayer Ibne Ferdous, Xiaochen Guo, Zhiyuan Yan, Yevgeny Berdichevsky, Lehigh University, United States
DISPS-P2.3: ADAPTIVE SPARSE ARRAY RECONFIGURATION BASED ON MACHINE LEARNING ALGORITHMS
Xiangrong Wang, Pengcheng Wang, Beihang University, China; Xianghua Wang, Shandong University of Science and Technology, China
DISPS-P2.4: JOINT LIST POLAR DECODER WITH SUCCESSIVE CANCELLATION AND SPHERE DECODING
Xiao Liang, Huayi Zhou, Zaichen Zhang, Xiaohu You, Chuan Zhang, Southeast University, China
DISPS-P2.5: APPROXIMATE BELIEF PROPAGATION DECODER FOR POLAR CODES
Menghui Xu, Shusen Jing, Southeast University, China; Jun Lin, Nanjing University, China; Weikang Qian, University of Michigan-Shanghai Jiao Tong University Joint Institute, China; Zaichen Zhang, Xiaohu You, Chuan Zhang, Southeast University, China
DISPS-P2.6: EFFICIENT CIRCULANT MATRIX CONSTRUCTION AND IMPLEMENTATION FOR COMPRESSED SENSING
Feng Yi, Zaichen Zhang, Xiaohu You, Chuan Zhang, Southeast University, China
DISPS-P2.7: REDUCED-COMPLEXITY TRELLIS MIN-MAX DECODER FOR NON-BINARY LDPC CODES
Huyen Pham Thi, Hanho Lee, Inha University, Korea (South)
DISPS-P2.8: DATA-AIDED FAST BEAMFORMING SELECTION FOR 5G
Joao Gante, INESC-ID, Portugal; Gabriel Falcao, IT - UC, Portugal; Leonel Sousa, INESC-ID, Portugal
IVMSP-L1.1: AUTOENCODER BASED IMAGE COMPRESSION: CAN THE LEARNING BE QUANTIZATION INDEPENDENT?
Thierry Dumas, Aline Roumy, Guillemot Christine, INRIA, France
IVMSP-L1.2: THE AV1 CONSTRAINED DIRECTIONAL ENHANCEMENT FILTER (CDEF)
Steinar Midtskogen, Cisco Systems Inc., Norway; Jean-Marc Valin, Mozilla, United States
IVMSP-L1.3: PRECODING MATRIX DESIGN IN LINEAR VIDEO CODING
Shuo Zheng, Marco Cagnazzo, LTCI,Télécom ParisTech, Université Paris-Saclay, France; Michel Kieffer, L2S, CNRS–CentraleSupelec–Univ Paris-Sud, Université Paris-Saclay, France
IVMSP-L1.4: JND-BASED PERCEPTUAL VIDEO CODING FOR 4:4:4 SCREEN CONTENT DATA IN HEVC
Lee Prangnell, Victor Sanchez, University of Warwick, United Kingdom
IVMSP-L1.5: LEARNING-BASED COMPLEXITY REDUCTION AND SCALING FOR HEVC ENCODERS
Mateus Grellert, Federal University of Rio Grande do Sul, Brazil; Guilherme Correa, Bruno Zatt, Federal University of Pelotas, Brazil; Sergio Bampi, Federal University of Rio Grande do Sul, Brazil; Luis Cruz, University of Coimbra, Portugal
IVMSP-L1.6: RATE-DISTORTION OPTIMIZED ILLUMINATION ESTIMATION FOR WAVELET-BASED VIDEO CODING
Maryam Haghighat, Reji Mathew, Aous Naman, Sean Young, David Taubman, University of New South Wales, Australia
IVMSP-L2.1: NO-REFERENCE HDR IMAGE QUALITY ASSESSMENT METHOD BASED ON TENSOR SPACE
Feifan Guan, Gangyi Jiang, Yang Song, Mei Yu, Zongju Peng, Fen Chen, Ningbo University, China
IVMSP-L2.2: A DEEP LEARNING BASED NO-REFERENCE IMAGE QUALITY ASSESSMENT MODEL FOR SINGLE-IMAGE SUPER-RESOLUTION
Bahetiyaer Bare, Ke Li, Bo Yan, Fudan University, China; Bailan Feng, Chunfeng Yao, Huawei Technologies Co., Ltd, China
IVMSP-L2.3: FULL-REFERENCE QUALITY ASSESSMENT OF CONTRAST CHANGED IMAGES BASED ON LOCAL LINEAR MODEL
Wen Sun, Wenming Yang, Fei Zhou, Qingmin Liao, Graduate School at Shenzhen, Tsinghua University, China
IVMSP-L2.4: DOCUMENT QUALITY ESTIMATION USING SPATIAL FREQUENCY RESPONSE
Pranjal Kumar Rai, International Institute of Information Technology, Hyderabad, India; Sajal Maheshwari, Qualcomm India Pvt. Ltd., India; Vineet Gandhi, International Institute of Information Technology, Hyderabad, India
IVMSP-L2.5: SECOND ORDER NATURAL SCENE STATISTICS MODEL OF BLIND IMAGE QUALITY ASSESSMENT
Zeina Sinno, Constantine Caramanis, Alan Bovik, The University of Texas at Austin, United States
IVMSP-L2.6: NO-REFERENCE WEIGHTING FACTOR SELECTION FOR BIMODAL TOMOGRAPHY
Yan Guo, Bernd Rieger, Delft University of Technology, Netherlands
IVMSP-L3.1: IMAGE REPRESENTATION USING SUPERVISED AND UNSUPERVISED LEARNING METHODS ON COMPLEX DOMAIN
Manh-Quan Bui, Viet-Hang Duong, Yung-Hui Li, National Central University, Taiwan; Tzu-Chiang Tai, Providence University, Taiwan; Jia-Ching Wang, National Central University, Taiwan
IVMSP-L3.2: BLOCK-COORDINATE PROXIMAL ALGORITHMS FOR SCALE-FREE TEXTURE SEGMENTATION
Barbara Pascal, Nelly Pustelnik, Patrice Abry, Univ Lyon, ENS de Lyon, Univ Claude Bernard, CNRS, Laboratoire de Physique, France; Jean-Christophe Pesquet, Center for Visual Computing, INRIA, CentraleSupelec, Univ. Paris-Saclay, France
IVMSP-L3.3: HIGH-ORDER TENSOR COMPLETION FOR DATA RECOVERY VIA SPARSE TENSOR-TRAIN OPTIMIZATION
Longhao Yuan, Saitama Institute of Technology, Japan; Qibin Zhao, RIKEN Center for Advanced Intelligence Project, Japan; Jianting Cao, Saitama Institute of Technology, Japan
IVMSP-L3.4: AN EUCLIDEAN ELLIPSE COMPARISON METRIC FOR QUANTITATIVE EVALUATION
Halil Ibrahim Cakir, Cihan Topal, Anadolu University, Turkey
IVMSP-L3.5: CROSS-MODAL MESSAGE PASSING FOR TWO-STREAM FUSION
Dong Wang, Yuan Yuan, Qi Wang, Northwestern Polytechnical University, China
IVMSP-L3.6: TRAINABLE CO-OCCURRENCE ACTIVATION UNIT FOR IMPROVING CONVNET
Takumi Kobayashi, National Institute of Advanced Industrial Science and Technology (AIST), Japan
IVMSP-L4.1: BINDCTNET: A SIMPLE BINARY DCT NETWORK FOR IMAGE CLASSIFICATION
Xiangrui Xing, Xian Yu, Wenao Ma, Yue Huang, Xiamen University, China; Delu Zeng, South China University of Technology, China; Xinghao Ding, Xiamen University, China
IVMSP-L4.2: A GENERATIVE ADVERSARIAL NETWORK BASED FRAMEWORK FOR UNSUPERVISED VISUAL SURFACE INSPECTION
Wei Zhai, Jiang Zhu, Yang Cao, Zengfu Wang, University of Science and Technology of China, China
IVMSP-L4.3: CAN YOU FIND A FACE IN A HEVC BITSTREAM?
Saeed Ranjbar Alvar, Hyomin Choi, Ivan V. Bajic, Simon Fraser University, Canada
IVMSP-L4.4: ROOF TYPE CLASSIFICATION USING DEEP CONVOLUTIONAL NEURAL NETWORKS ON LOW RESOLUTION PHOTOGRAMMETRIC POINT CLOUDS FROM AERIAL IMAGERY
Maria Axelsson, Ulf Soderman, Swedish Defence Research Agency, Sweden; Andreas Berg, Thomas Lithen, Lantmateriet, Sweden
IVMSP-L4.5: MANIFOLD-BASED ANALYSIS OF NATURAL STOCHASTIC TEXTURES WITH APPLICATION IN TEXTURE SYNTHESIS
Ido Zachevsky, Yehoshua Y. Zeevi, Technion - Israel Institute of Technology, Israel
IVMSP-L4.6: SPATIAL ENSEMBLE KERNEL LEARNING FOR SCENE CLASSIFICATION
Lei Zhang, Guangdong University of Petrochemical Technology, China; Xiantong Zhen, Beijing University of Aeronautics and Astronautics, China; Qiujing Zhang, Guangdong University of Petrochemical Technology, China
IVMSP-L5.1: FRONTAL FACE GENERATION FROM MULTIPLE POSE-VARIANT FACES WITH CGAN IN REAL-WORLD SURVEILLANCE SCENE
Zhuliang Chen, Qianhua He, Wenfeng Pang, Yanxiong Li, South China University of Technology, China
IVMSP-L5.2: A SPARSE CODING FRAMEWORK FOR GAZE PREDICTION IN EGOCENTRIC VIDEO
Yujie Li, National Institute of Advanced Industrial Science and Technology (AIST), Japan; Atsunori Kanemura, National Institute of Advanced Industrial Science and Technology (AIST), Advanced Telecommunications Research Institute International (ATR), Japan; Hideki Asoh, National Institute of Advanced Industrial Science and Technology (AIST), Japan; Taiki Miyanishi, Motoaki Kawanabe, Advanced Telecommunications Research Institute International (ATR), Japan
IVMSP-L5.3: FAST DETECTION OF ABNORMAL EVENTS IN VIDEOS WITH BINARY FEATURES
Roberto Leyva, Victor Sanchez, University of Warwick, United Kingdom; Chang-Tsun Li, Charles Sturt University, Australia
IVMSP-L5.4: STAN: SPATIO-TEMPORAL ADVERSARIAL NETWORKS FOR ABNORMAL EVENT DETECTION
Sangmin Lee, Hak Gu Kim, Yong Man Ro, KAIST, Korea (South)
IVMSP-L5.5: HIERARCHICAL ATTENTION AND CONTEXT MODELING FOR GROUP ACTIVITY RECOGNITION
Longteng Kong, Beihang University, China; Jie Qin, ETH Zurich, Switzerland; Di Huang, Yunhong Wang, Beihang University, China; Luc Van Gool, ETH Zurich, Switzerland
IVMSP-L5.6: LEARNING EXPLICIT SHAPE AND MOTION EVOLUTION MAPS FOR SKELETON-BASED HUMAN ACTION RECOGNITION
Hong Liu, Juanhui Tu, Mengyuan Liu, Runwei Ding, Peking University, China
IVMSP-L6.1: RECURSIVE EVALUATION OF SURE FOR TOTAL VARIATION DENOISING
Feng Xue, National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics, China; Thierry Blu, The Chinese University of Hong Kong, China; Jiaqi Liu, Xia Ai, National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics, China
IVMSP-L6.2: PIPA: A NEW PROXIMAL INTERIOR POINT ALGORITHM FOR LARGE-SCALE CONVEX OPTIMIZATION
Marie-Caroline Corbineau, University of Paris-Saclay, CentraleSupelec, CVN, Gif-sur-Yvette, France; Emilie Chouzenoux, University of Paris-Saclay, CentraleSupelec, CVN, Gif-sur-Yvette / University of Paris-Est Marne la Vallee, LIGM, UMR CNRS 8049, Champs-sur-Marne, France; Jean-Christophe Pesquet, University of Paris-Saclay, CentraleSupelec, CVN, Gif-sur-Yvette, France
IVMSP-L6.3: L0-REGULARIZED HYBRID GRADIENT SPARSITY PRIORS FOR ROBUST SINGLE-IMAGE BLIND DEBLURRING
Ryan Wen Liu, Wei Yin, Shengwu Xiong, Wuhan University of Technology, China; Silong Peng, Chinese Academy of Sciences, China
IVMSP-L6.4: GROUP SPARSITY RESIDUAL WITH NON-LOCAL SAMPLES FOR IMAGE DENOISING
Zhiyuan Zha, Xinggan Zhang, Qiong Wang, Yechao Bai, Lan Tang, Nanjing University, China; Xin Yuan, Nokia Bell Labs, United States
IVMSP-L6.5: COLOR AFFINE SUBSPACE PURSUIT FOR COLOR ARTIFACT REMOVAL
Kazuki Yamanaka, Seisuke Kyochi, The University of Kitakyushu, Japan; Shunsuke Ono, Tokyo Institute of Technology, Japan; Keiichiro Shirai, Shinshu University, Japan
IVMSP-L6.6: ANISOTROPIC TOTAL VARIATION REGULARIZED LOW-RANK TENSOR COMPLETION BASED ON TENSOR NUCLEAR NORM FOR COLOR IMAGE INPAINTING
Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen, Shanghai Jiao Tong University, China
IVMSP-L7.1: QUALITY ENHANCEMENT FOR INTRA FRAME CODING VIA CNNS: AN ADVERSARIAL APPROACH
Zhipeng Jin, Ping An, Chao Yang, Liquan Shen, Shanghai University, China
IVMSP-L7.2: ROBUST HAZE REMOVAL VIA JOINT DEEP TRANSMISSION AND SCENE PROPAGATION
Risheng Liu, Shiqi Li, Long Ma, Xin Fan, Haojie Li, Zhongxuan Luo, Dalian University of Technology, China
IVMSP-L7.3: FACE HALLUCINATION BASED ON KEY PARTS ENHANCEMENT
Ke Li, Bahetiyaer Bare, Bo Yan, Fudan University, China; Bailan Feng, Chunfeng Yao, Huawei Technologies Co., Ltd, China
IVMSP-L7.4: LEARNING AN INVERSE TONE MAPPING NETWORK WITH A GENERATIVE ADVERSARIAL REGULARIZER
Shiyu Ning, Shanghai Jiao Tong University, China; Hongteng Xu, Duke University, United States; Li Song, Rong Xie, Wenjun Zhang, Shanghai Jiao Tong University, China
IVMSP-L7.5: MULTI-EXPOSURE IMAGE FUSION BASED ON EXPOSURE COMPENSATION
Yuma Kinoshita, Tokyo Metropolitan University, Japan; Taichi Yoshida, Nagaoka University of Technology, Japan; Sayaka Shiota, Hitoshi Kiya, Tokyo Metropolitan University, Japan
IVMSP-L7.6: IMAGE ALIGNMENT VIA MULTI-MODEL GEOMETRIC FITTING AND HIERARCHICAL HOMOGRAPHY ESTIMATION
Yue Jiao, Jingyu Yang, Huanjing Yue, Kun Li, Chunping Hou, Tianjin University, China
IVMSP-P1.1: DEPTH SUPER-RESOLUTION WITH DEEP EDGE-INFERENCE NETWORK AND EDGE-GUIDED DEPTH FILLING
Xinchen Ye, Xiangyue Duan, Haojie Li, Dalian University of Technology, China
IVMSP-P1.2: A NOVEL GCV-BASED CRITERION FOR PARAMETER SELECTION IN IMAGE DECONVOLUTION
Feng Xue, National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics, China; Thierry Blu, The Chinese University of Hong Kong, China; Jiaqi Liu, Xia Ai, National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics, China
IVMSP-P1.3: DEEP LAYER PRIOR OPTIMIZATION FOR SINGLE IMAGE RAIN STREAKS REMOVAL
Risheng Liu, Zhiying Jiang, Long Ma, Xin Fan, Haojie Li, Zhongxuan Luo, Dalian University of Technology, China
IVMSP-P1.4: OPTIMUM EXACT HISTOGRAM SPECIFICATION
Félix Balado, University College Dublin, Ireland
IVMSP-P1.5: SURE-BASED DUAL DOMAIN IMAGE DENOISING
Zhiya Xu, Tao Dai, Tsinghua University, China; Li Niu, Rice University, United States; Jiawei Li, Qingtao Tang, Shu-Tao Xia, Tsinghua University, China
IVMSP-P1.6: UNBIASED DISTANCE BASED NON-LOCAL FUZZY MEANS
Xiaoyao Li, Hunan University, China; Yicong Zhou, University of Macau, China; Jing Zhang, Lianhong Wang, Hunan University, China
IVMSP-P1.7: LEARNING IN-PLACE RESIDUAL HOMOGENEITY FOR IMAGE DETAIL ENHANCEMENT
He Jiang, Institute of pattern recognition and image processing, Shanghai Jiaotong University, China; Huangkai Cai, Institute of Pattern Recognition and Image Processing, China; Jie Yang, Institute of pattern recognition and image processing, Shanghai Jiaotong University, China
IVMSP-P1.8: A SECOND-ORDER VARIATIONAL FRAMEWORK FOR JOINT DEPTH MAP ESTIMATION AND IMAGE DEHAZING
Ryan Wen Liu, Shengwu Xiong, Wuhan University of Technology, China; Huisi Wu, Shenzhen University, China
IVMSP-P1.9: CONTRAST ENHANCEMENT USING PHASE TRANSITION INFORMATION AND TOTAL VARIATION
Serdar Cakir, Ahmet Enis Cetin, Bilkent University, Turkey
IVMSP-P1.10: SPARSE OVERCOMPLETE DENOISING: AGGREGATION VERSUS GLOBAL OPTIMIZATION
Diego Carrera, Giacomo Boracchi, Politecnico di Milano, Italy; Alessandro Foi, Tampere University of Technology, Finland; Brendt Wohlberg, Los Alamos National Laboratory, United States
IVMSP-P2.1: JOINT LICENSE PLATE SUPER-RESOLUTION AND RECOGNITION IN ONE MULTI-TASK GAN FRAMEWORK
Minghui Zhang, Wu Liu, Huadong Ma, Beijing University of Posts and Telecommunications, China
IVMSP-P2.2: A DEEP ENCODER-DECODER NETWORKS FOR JOINT DEBLURRING AND SUPER-RESOLUTION
Xinyi Zhang, Fei Wang, Hang Dong, Yu Guo, Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, China
IVMSP-P2.3: 3D IMAGE RECONSTRUCTION FROM MULTI-FOCUS MICROSCOPE: AXIAL SUPER-RESOLUTION AND MULTIPLE-FRAME PROCESSING
Seunghwan Yoo, Pablo Ruiz, Northwestern University, United States; Xiang Huang, Argonne National Laboratory, United States; Kuan He, Northwestern University, United States; Nicola Ferrier, Mark Hereld, Argonne National Laboratory, United States; Alan Selewa, Matthew Daddysman, Norbert Scherer, University of Chicago, United States; Oliver Cossairt, Aggelos Katsaggelos, Northwestern University, United States
IVMSP-P2.4: DEPTH SUPER-RESOLUTION USING JOINT ADAPTIVE WEIGHTED LEAST SQUARES AND PATCHING GRADIENT
Yuyuan Li, Jiarui Sun, Shenzhen Graduate School, Peking University, China; Bingshu Wang, Faculty of Science and Technology, University of Macau, China; Yong Zhao, Shenzhen Graduate School, Peking University, China
IVMSP-P2.5: ORTHOGONALLY REGULARIZED DEEP NETWORKS FOR IMAGE SUPER-RESOLUTION
Tiantong Guo, Hojjat Seyed Mousavi, Vishal Monga, The Pennsylvania State University, United States
IVMSP-P2.6: EDGE-BASED LOSS FUNCTION FOR SINGLE IMAGE SUPER-RESOLUTION
George Seif, Dimitrios Androutsos, Ryerson University, Canada
IVMSP-P2.7: SINGLE DEPTH IMAGE SUPER-RESOLUTION USING CONVOLUTIONAL NEURAL NETWORKS
Baoliang Chen, Cheolkon Jung, Xidian University, China
IVMSP-P2.8: HNSR: HIGHWAY NETWORKS BASED DEEP CONVOLUTIONAL NEURAL NETWORKS MODEL FOR SINGLE IMAGE SUPER-RESOLUTION
Ke Li, Bahetiyaer Bare, Bo Yan, Fudan University, China; Bailan Feng, Chunfeng Yao, Huawei Technologies Co., Ltd, China
IVMSP-P2.9: DEEP IMAGE SUPER RESOLUTION VIA NATURAL IMAGE PRIORS
Hojjat Seyed Mousavi, Tiantong Guo, Vishal Monga, The Pennsylvania State University, United States
IVMSP-P2.10: RECOVERING SIGNALS FROM THEIR FROG TRACE
Tamir Bendory, Princeton University, United States; Dan Edidin, University of Missouri, United States; Yonina Eldar, Technion - Israel Institute of Technology, Israel
IVMSP-P3.1: CLASSIFICATION OF CORALS IN REFLECTANCE AND FLUORESCENCE IMAGES USING CONVOLUTIONAL NEURAL NETWORK REPRESENTATIONS
Lian Xu, Mohammed Bennamoun, Senjian An, The University of Western Australia, Australia; Ferdous Sohel, Murdoch University, Australia; Farid Boussaid, The University of Western Australia, Australia
IVMSP-P3.2: UNIVERSAL APPROACH FOR DCT-BASED CONSTANT-TIME GAUSSIAN FILTER WITH MOMENT PRESERVATION
Kenjiro Sugimoto, Waseda University, Japan; Seisuke Kyochi, The University of Kitakyushu, Japan; Sei-Ichiro Kamata, Waseda University, Japan
IVMSP-P3.3: INCORPORATING SCALABILITY IN UNSUPERVISED SPATIO-TEMPORAL FEATURE LEARNING
Sujoy Paul, Sourya Roy, Amit Roy-Chowdhury, University of California, Riverside, United States
IVMSP-P3.4: FAULT DETECTION USING ATTENTION MODELS BASED ON VISUAL SALIENCY
Muhammad Amir Shafiq, Zhiling Long, Haibin Di, Ghassan AlRegib, Georgia Institute of Technology, United States; Mohammed Deriche, KFUPM, Saudi Arabia
IVMSP-P3.5: SPATIOTEMPORAL ATTENTION BASED DEEP NEURAL NETWORKS FOR EMOTION RECOGNITION
Jiyoung Lee, Sunok Kim, Seungryong Kim, Kwanghoon Sohn, Yonsei University, Korea (South)
IVMSP-P3.6: VARIATIONAL BAYES SUB-GROUP ADAPTIVE SPARSE COMPONENT EXTRACTION FOR DIAGNOSTIC IMAGING SYSTEM
Bin Gao, Peng Lu, University of Electronic Science and Technology of China, China; Wailok Woo, Guiyun Tian, Newcastle University, United Kingdom
IVMSP-P3.7: GUIDED IMAGE FILTERING WITH ARBITRARY WINDOW FUNCTION
Norishige Fukushima, Nagoya Institute of Technology, Japan; Kenjiro Sugimoto, Sei-Ichiro Kamata, Waseda University, Japan
IVMSP-P3.8: TWO-DIMENSIONAL QUATERNION SPARSE PRINCIPLE COMPONENT ANALYSIS
Xiaolin Xiao, Yicong Zhou, University of Macau, China
IVMSP-P3.9: STATISTICAL T+2D SUBBAND MODELLING FOR CROWD COUNTING
Deepayan Bhowmik, Sheffield Hallam University, United Kingdom; Andrew Wallace, Heriot-Watt University, United Kingdom
IVMSP-P3.10: INVESTIGATION IN SPATIAL-TEMPORAL DOMAIN FOR FACE SPOOF DETECTION
Zhonglin Sun, Li Sun, Qingli Li, East China Normal University, China
IVMSP-P4.1: UNSUPERVISED IMAGE SEGMENTATION BY BACKPROPAGATION
Asako Kanezaki, National Institute of Advanced Industrial Science and Technology (AIST), Japan
IVMSP-P4.2: LOW-ENERGY GRAPH FOURIER BASIS FUNCTIONS SPAN SALIENT OBJECTS
Junaid Malik, Caglar Aytekin, Moncef Gabbouj, Tampere University of Technology, Finland
IVMSP-P4.3: A NEW PROXIMAL METHOD FOR JOINT IMAGE RESTORATION AND EDGE DETECTION WITH THE MUMFORD-SHAH MODEL
Marion Foare, Nelly Pustelnik, Universite de Lyon, ENS de Lyon, Universite Lyon 1, CNRS, France; Laurent Condat, Université Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, France
IVMSP-P4.4: L1 PATCH-BASED IMAGE PARTITIONING INTO HOMOGENEOUS TEXTURED REGIONS
Maria Oliver, Gloria Haro, Vadim Fedorov, Coloma Ballester, UPF, Spain
IVMSP-P4.5: HYBRIDNET FOR DEPTH ESTIMATION AND SEMANTIC SEGMENTATION
Dalila Sanchez-Escobedo, Xiao Lin, Josep Ramon Casas, Montse Pardas, Universitat Politecnica de Catalunya. BARCELONATECH, Spain
IVMSP-P4.6: MINIMUM SPANNING DISTANCE FOR IMAGE SEGMENTATION
Chao-Te Chou, Wei-Chih Tu, Shao-Yi Chien, National Taiwan University, Taiwan
IVMSP-P4.7: FRAME-SUBSAMPLED, DRIFT-RESILIENT VIDEO OBJECT TRACKING
Xuan Wang, Yuhen Hu, Robert G. Radwin, John D. Lee, University of Wisconsin-Madison, United States
IVMSP-P4.8: ROBUST VISUAL TRACKING VIA ADAPTIVE STRUCTURE-ENHANCED PARTICLE FILTER
Nan Song, Beijing Jiaotong University, China; Kezhi Li, Imperial College London, United Kingdom; Wei Chen, Beijing Jiaotong University, China
IVMSP-P5.1: OPTIMAL SPECTRAL ESTIMATION AND SYSTEM TRADE-OFF IN LONG-DISTANCE FREQUENCY-MODULATED CONTINUOUS-WAVE LIDAR
Taehwan Kim, Pavan Bhargava, Vladimir Stojanovic, University of California, Berkeley, United States
IVMSP-P5.2: PERCEPTUAL LOSS FOR SUPERPIXEL-LEVEL MULTISPECTRAL AND PANCHROMATIC IMAGE CLASSIFICATION
Cheng Shi, Chi-Man Pun, University of Macau, China
IVMSP-P5.3: SYNTHESIS OF IMAGES BY TWO-STAGE GENERATIVE ADVERSARIAL NETWORKS
Qiang Huang, Philip Jackson, Mark D. Plumbley, Wenwu Wang, University of Surrey, United Kingdom
IVMSP-P5.4: TARGET AND BACKGROUND SEPARATION IN HYPERSPECTRAL IMAGERY FOR AUTOMATIC TARGET DETECTION
Ahmad Bitar, CentraleSupelec, France; Loong-Fah Cheong, National University of Singapore, Singapore; Jean-Philippe Ovarlez, CentraleSupelec, France
IVMSP-P5.5: ROBUST AND EFFECTIVE HYPERSPECTRAL PANSHARPENING USING SPATIO-SPECTRAL TOTAL VARIATION
Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa, Tokyo Institute of Technology, Japan
IVMSP-P5.6: A MATRIX COMPLETION APPROACH FOR WALL-CLUTTER MITIGATION IN COMPRESSIVE RADAR IMAGING OF INDOOR TARGETS
Van Ha Tang, Le Quy Don Technical University, Viet Nam; Abdesselam Bouzerdoum, Son Lam Phung, University of Wollongong, Australia
IVMSP-P5.7: EVALUATING MULTIEXPOSURE FUSION USING IMAGE INFORMATION
Hisham Rahman, Netradyne, India; Rajiv Soundararajan, Venkatesh Babu Radhakrishnan, Indian Institute of Science, India
IVMSP-P5.8: ADAPTIVE TRAVEL TIME TOMOGRAPHY WITH LOCAL SPARSITY
Michael Bianco, Peter Gerstoft, University of California, San Diego, United States
IVMSP-P5.9: CATSEYES: CATEGORIZING SEISMIC STRUCTURES WITH TESSELLATED SCATTERING WAVELET NETWORKS
Yash Bhalgat, Jean Charlety, Laurent Duval, IFP Energies nouvelles, France
IVMSP-P5.10: RADAR AUTOFOCUS USING SPARSE BLIND DECONVOLUTION
Hassan Mansour, Mitsubishi Electric Research Laboratories, United States; Ulugbek Kamilov, Washington University of St. Louis, United States; Dehong Liu, Petros Boufounos, Mitsubishi Electric Research Laboratories, United States
IVMSP-P6.1: HARD SHADOWS REMOVAL USING AN APPROXIMATE ILLUMINATION INVARIANT
Bingshu Wang, C. L. Philip Chen, University of Macau, China; Yuyuan Li, Yong Zhao, Peking University, China
IVMSP-P6.2: ADAPTIVE VISUAL TARGET TRACKING BASED ON LABEL CONSISTENT K-SVD SPARSE CODING AND KERNEL PARTICLE FILTER
Jinlong Yang, Xiaoping Chen, Jiangnan University, China; Yu Hen Hu, University of Wisconsin-Madison, United States; Jianjun Liu, Jiangnan University, China
IVMSP-P6.3: FACIAL FEATURE-INTEGRATED INTER-CAMERA HUMAN TRACKING
Young-Gun Lee, Jenq-Neng Hwang, University of Washington, United States
IVMSP-P6.4: PRECISE REGRESSION FOR BOUNDING BOX CORRECTION FOR IMPROVED TRACKING BASED ON DEEP REINFORCEMENT LEARNING
Yifan Jiang, Hyunhak Shin, Hanseok Ko, Korea University, Korea (South)
IVMSP-P6.5: FAST ROBUST TRACKING VIA DOUBLE CORRELATION FILTER FORMULATION
Ashwani Kumar Tiwari, Rahul Siripurapu, Yadhunandan U S, Wipro Technologies, India
IVMSP-P7.1: QUERY EXPANSION WITH DIFFUSION ON MUTUAL RANK GRAPHS
Xiaomeng Wu, Go Irie, Kaoru Hiramatsu, Kunio Kashino, NTT Corporation, Japan
IVMSP-P7.2: CROSS-MODAL LEARNING TO RANK WITH ADAPTIVE LISTWISE CONSTRAINT
Guangzhuo Qu, Jing Xiao, Jia Zhu, Yang Cao, Changqin Huang, South China Normal University, China
IVMSP-P7.3: TRACKED INSTANCE SEARCH
Andreu Girbau, Universitat Politecnica de Catalunya, Spain; Ryota Hinami, Shin'Ichi Satoh, National Institute of Informatics, Japan
IVMSP-P7.4: A DISCRIMINATIVELY LEARNED FEATURE EMBEDDING BASED ON MULTI-LOSS FUSION FOR PERSON SEARCH
Hong Liu, Wei Shi, Weipeng Huang, Qiao Guan, Peking University, China
IVMSP-P7.5: APHASH: ANCHOR-BASED PROBABILITY HASHING FOR IMAGE RETRIEVAL
Junjie Chen, Hong Kong Baptist University, China; Anran Wang, Institute for Infocomm Research, A*STAR, China; William K. Cheung, Hong Kong Baptist University, China
IVMSP-P7.6: MODALITY-SPECIFIC STRUCTURE PRESERVING HASHING FOR CROSS-MODAL RETRIEVAL
Xingbo Liu, School of Computer Science and Technology, Shandong University, China; Xiushan Nie, School of Computer Science and Technology, Shandong University of Finance and Economics / School of Computer Science and Technology, Shandong University, China; Haoliang Sun, School of Computer Science and Technology, Shandong University, China; Chaoran Cui, School of Computer Science and Technology, Shandong University of Finance and Economics, China; Yilong Yin, School of Computer Science and Technology, Shandong University, China
IVMSP-P7.7: DEEP UNIQUENESS-AWARE HASHING FOR FINE-GRAINED MULTI-LABEL IMAGE RETRIEVAL
Dayan Wu, Institute of Information Engineering, Chinese Academy of Sciences;School of Cyber Security, University of Chinese Academy of Sciences, China; Zheng Lin, Bo Li, Institute of Information Engineering, Chinese Academy of Sciences, China; Jing Liu, Institute of Information Engineering, Chinese Academy of Sciences;School of Cyber Security, University of Chinese Academy of Sciences, China; Weiping Wang, Institute of Information Engineering, Chinese Academy of Sciences, China
IVMSP-P8.1: RECOGNIZING MINIMAL FACIAL SKETCH BY GENERATING PHOTOREALISTIC FACES WITH THE GUIDANCE OF DESCRIPTIVE ATTRIBUTES
Xiao Yang, Shanghai Jiao Tong University, China; Hang Su, Tsinghua National Lab for Information Science and Technology, China; Qin Zhou, Xinzhe Li, Shibao Zheng, Shanghai Jiao Tong University, China
IVMSP-P8.2: SPARSE LOW-RANK COMPONENT CODING FOR FACE RECOGNITION WITH ILLUMINATION AND CORRUPTION
Shicheng Yang, Ying Wen, East China Normal University, China; Lianghua He, Tongji University, China
IVMSP-P8.3: CONTOURLET BASED NATURAL SCENE STATISTICS USING STUDENT’S T DISTRIBUTION
Antonis Mairgiotis, Technological Educational Institute of Thessaly, Greece; Lisimachos P. Kondi, University of Ioannina, Greece; Yongyi Yang, Illinois Institute of Technology, United States
IVMSP-P8.4: ANSCOMBE MEETS HOUGH: NOISE VARIANCE STABLIZATION VIA PARAMETRIC MODEL ESTIMATION
Mariano Tepper, Andrea Giovannucci, Eftychios Pnevmatikakis, Flatiron Institute, United States
IVMSP-P8.5: PRIMAL-DUAL PLUG-AND-PLAY IMAGE RESTORATION
Shunsuke Ono, Tokyo Institute of Technology, Japan
IVMSP-P8.6: FAST AND ROBUST RECURSIVE FILTER FOR IMAGE DENOISING
Yiheng Chi, Stanley Chan, Purdue University, United States
IVMSP-P9.1: SOFT DECODING OF LIGHT FIELD IMAGES USING POCS AND FAST GRAPH SPECTRAL FILTERS
Shuai Yang, Peking University, China; Gene Cheung, National Institute of Informatics, Japan; Jiaying Liu, Zongming Guo, Peking University, China
IVMSP-P9.2: GRAPH-BASED TRANSFORMS FOR PREDICTIVE LIGHT FIELD COMPRESSION BASED ON SUPER-PIXELS
Mira Rizkallah, Xin Su, Thomas Maugey, Christine Guillemot, Institut National de Recherche en Informatique et en Automatique, France
IVMSP-P9.3: A LOW-COMPLEXITY VIDEO ENCODER FOR EQUIRECTANGULAR PROJECTED 360 VIDEO CONTENT
Bappaditya Ray, University of Poitiers, France; Joel Jung, Orange Labs, France; Mohamed-Chaker Larabi, University of Poitiers, France
IVMSP-P9.4: FAST TEXTURE INTRA SIZE CODING BASED ON BIG DATA CLUSTERING FOR 3D-HEVC
Hamza Hamout, Abderrahmane Elyousfi, Ibn-Zohr University, Morocco
IVMSP-P9.5: LOW COMPLEXITY JOINT RDO OF PREDICTION UNITS COUPLES FOR HEVC INTRA CODING
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-P9.6: FAST 3D-HEVC DEPTH MAPS INTRA-FRAME PREDICTION USING DATA MINING
Mário Saldanha, Federal University of Pelotas, Brazil; Gustavo Sanchez, César Marcon, Pontificial Catholic University of Rio Grande do Sul, Brazil; Luciano Agostini, Federal University of Pelotas, Brazil
IVMSP-P9.7: RECURSIVE DISTORTION ESTIMATION FOR HYBRID DIGITAL-ANALOG VIDEO TRANSMISSION
Jing Zhang, Anhong Wang, Taiyuan University of Science and Technology, China; Jie Liang, Simon Fraser University, Canada
IVMSP-P9.8: AN EFFICIENT DEEP CONVOLUTIONAL LAPLACIAN PYRAMID ARCHITECTURE FOR CS RECONSTRUCTION AT LOW SAMPLING RATIOS
Wenxue Cui, Heyao Xu, Harbin Institute of Technology, China; Xinwei Gao, Wechat Business Group, China; Shengping Zhang, Feng Jiang, Debin Zhao, Harbin Institute of Technology, China
IVMSP-P9.9: CLUSTER-BASED POINT CLOUD CODING WITH NORMAL WEIGHTED GRAPH FOURIER TRANSFORM
Yiqun Xu, Institute of Computing Technology, Chinese Academy of Sciences, China; Wei Hu, Shanshe Wang, Peking University, China; Xinfeng Zhang, University of Southern California, United States; Shiqi Wang, City University of Hong Kong, China; Siwei Ma, Wen Gao, Peking University, China
IVMSP-P9.10: TOWARDS PERCEPTUALLY GUIDED RATE-DISTORTION OPTIMIZATION FOR HEVC
Kais Rouis, National School of Engineering of Tunis, University of Tunis El Manar, Tunisia; Mohamed-Chaker Larabi, University of Poitiers, France; Jamel Belhadj Tahar, Innov'Com Laboratory, Sup'Com, University of Carthage, Tunisia, Tunisia
IVMSP-P10.1: OCTAGONAL-AXIS RASTER PATTERN FOR IMPROVED TEST ZONE SEARCH MOTION ESTIMATION
Paulo Goncalves, Marcelo Porto, Bruno Zatt, Luciano Agostini, Guilherme Correa, Federal University of Pelotas, Brazil
IVMSP-P10.2: A JOINT SOURCE CHANNEL ARITHMETIC MAP DECODER USING PROBABILISTIC RELATIONS AMONG INTRA MODES IN PREDICTIVE VIDEO COMPRESSION
Hossein Kourkchi, William E. Lynch, M. Omair Ahmad, Concordia University, Canada
IVMSP-P10.3: A MOTION AIDED MERGE MODE FOR HEVC
Hao Li, Kui Fan, Ronggang Wang, Ge Li, Wenmin Wang, Peking University, China
IVMSP-P10.4: A ROBUST HIERARCHICAL QP SETTING FOR SCREEN CONTENT CODING
Tong Tang, Institute of Information Science and Technology, University of Science and Technology of China, China; Ling Li, Institute of Software, Chinese Academy of Science, China; Donglin Wang, Institute of Automation, Chinese Academy of Sciences, China
IVMSP-P10.5: RATE CONTROL FOR HEVC INTRA-CODING BASED ON PIECEWISE LINEAR APPROXIMATIONS
Victor Sanchez, University of Warwick, United Kingdom
IVMSP-P10.6: COMPLEXITY REDUCTION ALGORITHM FOR OPTIMUM QUANTIZER DESIGN BASED ON AMPLITUDE SPARSENESS
Yukihiro Bandoh, Seishi Takamura, Atsushi Shimizu, Nippon Telegraph and Telephone Corporation, Japan
IVMSP-P10.7: HIGH EFFICIENCY COMPRESSION FOR OBJECT DETECTION
Hyomin Choi, Ivan V. Bajic, Simon Fraser University, Canada
IVMSP-P10.8: ASYMMETRIC DCT-JND FOR LUMINANCE ADAPTATION EFFECTS: AN APPLICATION TO PERCEPTUAL VIDEO CODING IN MV-HEVC
Sami Jaballah, NOCCS Laboratory, National School of Engineering of Sousse, University of Sousse,Tunisia, Tunisia; Mohamed-Chaker Larabi, CNRS, Univ. Poitiers, XLIM, UMR 7252, France; Jamel Belhadj Tahar, National School of Engineering of Tunis, University of Tunis El Manar, Tunisia
IVMSP-P10.9: DIGITAL-ANALOG SUPERPOSITION CODING FOR OFDM CHANNELS WITH APPLICATION TO VIDEO TRANSMISSION
Pradeepa Yahampath, University of Manitoba, Canada
IVMSP-P10.10: U-FRESH: AN FRI-BASED SINGLE IMAGE SUPER RESOLUTION ALGORITHM AND AN APPLICATION IN IMAGE COMPRESSION
Xin Deng, Junjie Huang, Mengying Liu, Pier Luigi Dragotti, Imperial College London, United Kingdom
IVMSP-P11.2: A NATURAL SHAPE-PRESERVING STEREOSCOPIC IMAGE STITCHING
Haoqian Wang, Yaling Zhou, Xingzheng Wang, Lu Fang, Tsinghua University, China
IVMSP-P11.3: IMAGE FUSION USING BELIEF PROPAGATION
Paul Hill, David Bull, The University of Bristol, United Kingdom
IVMSP-P11.4: BLIND IMAGE DEBLURRING VIA REWEIGHTED GRAPH TOTAL VARIATION
Yuanchao Bai, Peking University, China; Gene Cheung, National Institute of Informatics, Japan; Xianming Liu, Harbin Institute of Technology, China; Wen Gao, Peking University, China
IVMSP-P11.5: SYMMETRIC UPWIND SCHEME FOR DISCRETE WEIGHTED TOTAL VARIATION
Sonia Tabti, Julien Rabin, Abderrahim Elmoataz, Caen University, France
IVMSP-P11.6: IMPROVING DISPARITY MAP ESTIMATION FOR MULTI-VIEW NOISY IMAGES
Shiwei Zhou, Zhengyang Lou, Yu Hen Hu, Hongrui Jiang, University of Wisconsin-Madison, United States
IVMSP-P11.7: SALIENCY-BASED FEATURE SELECTION STRATEGY IN STEREOSCOPIC PANORAMIC VIDEO GENERATION
Haoyu Wang, Daniel Sandin, Dan Schonfeld, University of Illinois at Chicago, United States
IVMSP-P11.8: SPARSE DISPARITY ESTIMATION USING GLOBAL PHASE ONLY CORRELATION FOR STEREO MATCHING ACCELERATION
Takeshi Shimada, Masayuki Ikebe Ikebe, Prasoon Ambalathankandy, Shinya Takamaeda-Yamazaki, Masato Motomura, Tetsuya Asai, Hokkaido University, Japan
IVMSP-P11.9: ACTIVE CAMERA RELOCALIZATION WITH RGBD CAMERA FROM A SINGLE 2D IMAGE
Dongxu Miao, Feipeng Tian, Wei Feng, Tianjin University, China
IVMSP-P11.10: HOLE FILLING METHOD FOR DEPTH IMAGE BASED RENDERING BASED ON BOUNDARY DECISION
Jea Hyung Cho, Seoul National University / Hyundai Mobis, Korea (South)
IVMSP-P12.1: MAN-MADE OBJECT RECOGNITION FROM UNDERWATER OPTICAL IMAGES USING DEEP LEARNING AND TRANSFER LEARNING
Xian Yu, Xiangrui Xing, Han Zheng, Xueyang Fu, Yue Huang, Xinghao Ding, Xiamen University, China
IVMSP-P12.2: IMAGE-BASED PM2.5 ESTIMATION AND ITS APPLICATION ON DEPTH ESTIMATION
Jian Ma, Kun Li, Yahong Han, Pufeng Du, Jingyu Yang, Tianjin University, China
IVMSP-P12.3: GENERALIZED LINEAR MIXING MODEL ACCOUNTING FOR ENDMEMBER VARIABILITY
Tales Imbiriba, Ricardo Augusto Borsoi, Jose Carlos Moreira Bermudez, Federal University of Santa Catarina, Brazil
IVMSP-P12.4: SALIENCY DETECTION VIA MULTI-CENTER CONVEX HULL PRIOR
Zhi-Jie Wang, Sun Yat-sen University; Guangdong Key Laboratory of Big Data Analysis & Processing, China; Lizhuang Ma, Shanghai Jiao Tong University, China; Xiao Lin, Shanghai Normal University, China; Hui Zhong, Shanghai Yingcheng Image Tech. Co., Ltd, China
IVMSP-P12.5: HOUGH TRANSFORM GUIDED DEEP FEATURE EXTRACTION FOR DENSE BUILDING DETECTION IN REMOTE SENSING IMAGES
Qingpeng Li, Yunhong Wang, Qingjie Liu, Beihang University, China; Wei Wang, China Ministry of Civil Affairs, China
IVMSP-P12.6: FAST POISSONIAN-GAUSSIAN NOISE ESTIMATION
Said Homidov, Center for Integrated Smart Sensors, Korea (South); Hyun Sang Park, Chong-Min Kyung, Kongju National University, Korea (South)
IVMSP-P12.7: REAL-TIME PEDESTRIAN DETECTION IN CROWDED SCENES USING DEEP OMEGA-SHAPE FEATURES
Yuting Xu, Xue Zhou, Pengfei Liu, Hongbing Xu, University of Electronic Science and Technology of China, China
IVMSP-P12.8: OPTIMAL SELECTION OF SUBSET OF IMAGES WITH HIGHEST INTRA-CLASS SIMILARITY FOR 3D SCENE RECONSTRUCTION
Mahdi Salarian, Rashid Ansari, University of Illinois at Chicago, United States
IVMSP-P12.9: AN ITERATIVE APPROACH FOR SHADOW REMOVAL IN DOCUMENT IMAGES
Vatsal Shah, Vineet Gandhi, International Institute of Information Technology, Hyderabad, India
IVMSP-P13.1: SUPER WIDE REGRESSION NETWORK FOR UNSUPERVISED CROSS-DATABASE FACIAL EXPRESSION RECOGNITION
Na Liu, Baofeng Zhang, Tianjin University of Technology, China; Yuan Zong, Southeast University, China; Li Liu, Jie Chen, Guoying Zhao, University of Oulu, China; Junchao Zhu, Tianjin University of Technology, China
IVMSP-P13.2: CALIBRATING CAMERAS IN POOR-CONDITIONED PITCH-BASED SPORTS GAMES
Rui Zeng, Queensland University of Technology, Australia; Ruan Lakemond, Imagination Technologies, Australia; Simon Denman, Sridha Sridharan, Clinton Fookes, Queensland University of Technology, Australia; Stuart Morgan, La Trobe University, Australia
IVMSP-P13.3: OBJECT-ORIENTED ANOMALY DETECTION IN SURVEILLANCE VIDEOS
Xiaodan Li, Weihai Li, Bin Liu, Qiankun Liu, Nenghai Yu, University of Science and Technology of China, China
IVMSP-P13.5: RCDFNN: ROBUST CHANGE DETECTION BASED ON CONVOLUTIONAL FUSION NEURAL NETWORK
Chunlei Cai, Li Chen, Shanghai Jiao Tong University, China; Lei Zhou, University of shanghai for science and technology, China; Xiaoyun Zhang, Zhiyong Gao, Shanghai Jiao Tong University, China
IVMSP-P13.6: SIGNBOARD SALIENCY DETECTION IN STREET VIDEOS
Onkar Krishna, Kiyoharu Aizawa, The University of Tokyo, Japan; Saskia Reimerth, Technische Universität Wien, Austria
IVMSP-P13.7: A NOVEL CROWD-RESILIENT VISUAL LOCALIZATION ALGORITHM VIA ROBUST PCA BACKGROUND EXTRACTION
Zhuorui Yang, Marco Duarte, Aura Ganz, University of Massachusetts Amherst, United States
IVMSP-P13.8: A PRACTICAL GUIDE TO MULTI-IMAGE ALIGNMENT
Cecilia Aguerrebere, Fundacion Ceibal, Uruguay; Mauricio Delbracio, Universidad de la Republica, Uruguay; Alberto Bartesaghi, National Cancer Institute, United States; Guillermo Sapiro, Electrical and Computer Engineering, United States
IVMSP-P13.9: MGN: MULTI-GLIMPSE NETWORK FOR ACTION RECOGNITION
Chaoxu Guo, University of Chinese Academy of Sciences, China; Tingzhao Yu, Huxiang Gu, Shiming Xiang, Chunhong Pan, Institute of Automation, Chinese Academy of Sciences, China
IVMSP-P13.10: A LOW POWER HARDWARE IMPLEMENTATION OF MULTI-OBJECT DPM DETECTOR FOR AUTONOMOUS DRIVING
Alaa Ali, Oladiran Olaleye, Bappaditya Dey, Kasem Khalil, Magdy Bayoumi, University of Louisiana at Lafayette, United States
IFS-L1.1: A DEEPLY-RECURSIVE CONVOLUTIONAL NETWORK FOR CROWD COUNTING
Xinghao Ding, Zhirui Lin, Fujin He, Yu Wang, Yue Huang, Xiamen University, China
IFS-L1.2: RECOGNITION OF FACES AND FACIAL ATTRIBUTES USING ACCUMULATIVE LOCAL SPARSE REPRESENTATIONS
Domingo Mery, Pontificia Universidad Catolica de Chile, Chile; Sandipan Banerjee, University of Notre Dame, United States
IFS-L1.3: RESIDUAL LEARNING FOR FACE SKETCH SYNTHESIS
Junjun Jiang, Yi Yu, Zheng Wang, National Institute of Informatics, Japan; Jiayi Ma, Wuhan University, China
IFS-L1.4: DEEP FEATURE EMBEDDING LEARNING FOR PERSON RE-IDENTIFICATION USING LIFTED STRUCTURED LOSS
Zhangping He, Zhendong Zhang, Cheolkon Jung, Xidian University, China
IFS-L1.5: FOOLING END-TO-END SPEAKER VERIFICATION WITH ADVERSARIAL EXAMPLES
Felix Kreuk, Yossi Adi, Bar-Ilan University, Israel; Moustapha Cisse, Facebook A.I. Research, France; Joseph Keshet, Bar-Ilan University, Israel
IFS-L1.6: A CAPTCHA DESIGN BASED ON VISUAL REASONING
Haipeng Wang, Feng Zheng, Zhuoming Chen, Yi Lu, Jing Gao, Renjia Wei, Tencent Inc., China
IFS-L2.1: SECRECY CAPACITY UNDER LIST DECODING FOR A CHANNEL WITH A PASSIVE EAVESDROPPER AND AN ACTIVE JAMMER
Ahmed Mansour, Technische Universität München, Germany; Rafael Schaefer, Technical University of Berlin, Germany; Holger Boche, Technische Universität München, Germany
IFS-L2.2: TIC-TAC, FORGERY TIME HAS RUN-UP! LIVE ACOUSTIC WATERMARKING FOR INTEGRITY CHECK IN FORENSIC APPLICATIONS
Valentin-Adrian Nita, Amelia Ciobanu, University Politehnica of Bucharest, Romania
IFS-L2.3: TWO EMBEDDING STRATEGIES FOR PAYLOAD DISTRIBUTION IN MULTIPLE IMAGES STEGANOGRAPHY
Xin Liao, Jiaojiao Yin, Hunan University, China
IFS-L2.4: INVISIBLE GEO-LOCATION SIGNATURE IN A SINGLE IMAGE
Chau-Wai Wong, North Carolina State University, United States; Adi Hajj-Ahmad, GE Digital, United States; Min Wu, University of Maryland College Park, United States
IFS-L2.5: PRIVACY-PRESERVING OUTSOURCED MEDIA SEARCH USING SECURE SPARSE TERNARY CODES
Behrooz Razeghi, Slava Voloshynovskiy, University of Geneva, Switzerland
IFS-L2.6: A DIVERSE LARGE-SCALE DATASET FOR EVALUATING REBROADCAST ATTACKS
Shruti Agarwal, Wei Fan, Hany Farid, Dartmouth College, United States
IFS-P1.1: AUGMENTED DATA AND IMPROVED NOISE RESIDUAL-BASED CNN FOR PRINTER SOURCE IDENTIFICATION
Sharad Joshi, Mohit Lamba, Indian Institute of Technology Gandhinagar (IITGN), India; Vivek Goyal, Microsoft Global Service Center (India) Pvt. Ltd., India; Nitin Khanna, Indian Institute of Technology Gandhinagar (IITGN), India
IFS-P1.2: TOWARDS OPEN SET CAMERA MODEL IDENTIFICATION USING A DEEP LEARNING FRAMEWORK
Belhassen Bayar, Matthew C. Stamm, Drexel University, United States
IFS-P1.3: LEARNED FORENSIC SOURCE SIMILARITY FOR UNKNOWN CAMERA MODELS
Owen Mayer, Matthew C. Stamm, Drexel University, United States
IFS-P1.4: OPTIMAL ONLINE CYBERBULLYING DETECTION
Daphney-Stavroula Zois, Angeliki Kapodistria, Mengfan Yao, Charalampos Chelmis, University at Albany, SUNY, United States
IFS-P1.5: TRADE-OFFS IN DATA-DRIVEN FALSE DATA INJECTION ATTACKS AGAINST THE POWER GRID
Subhash Lakshminarayana, Advanced Digital Sciences Center (ADSC), Illinois at Singapore, Singapore; Fuxi Wen, Chalmers University of Technology, Sweden; David Yau, Singapore University of Technology and Design, Singapore
IFS-P1.6: DEFENDING AGAINST PACKET-SIZE SIDE-CHANNEL ATTACKS IN IOT NETWORKS
Sijie Xiong, Anand D. Sarwate, Narayan B. Mandayam, Rutgers University, United States
IFS-P1.7: USING DEEP LEARNING TO CLASSIFY POWER CONSUMPTION SIGNALS OF WIRELESS DEVICES: AN APPLICATION TO CYBERSECURITY
Abdurhman Albasir, Robin Joe Prabhahar Soundar Raja James, Kshirasagar Naik, University of Waterloo, Canada; Amiya Nayak, University of Ottawa, Canada
IFS-P1.8: MODELLING JITTER IN WIRELESS CHANNEL CREATED BY PROCESSOR-MEMORY ACTIVITY
Baki Berkay Yilmaz, Alenka Zajić, Milos Prvulovic, Georgia Institute of Technology, United States
IFS-P2.1: LEARNING ON A BUDGET FOR USER AUTHENTICATION ON MOBILE DEVICES
Bojan Kolosnjaji, Antonia Hüfner, Claudia Eckert, Technical University of Munich, Germany; Apostolis Zarras, Maastricht University, Netherlands
IFS-P2.2: AN ENSEMBLE LEARNING METHOD BASED ON RANDOM SUBSPACE SAMPLING FOR PALMPRINT IDENTIFICATION
Imad Rida, Normandie Univ, UNIROUEN, UNIHAVRE, INSA Rouen, LITIS, 76 000 Rouen, France; Somaya Al Maadeed, Qatar University, Qatar; Xudong Jiang, School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore; Fei Lunke, School of Computer, Guangdong University of Technology, China; Abdelaziz Bensrhair, Normandie Univ, UNIROUEN, UNIHAVRE, INSA Rouen, LITIS, 76 000 Rouen, France
IFS-P2.3: RECURRENT NEURAL NETWORKS FOR AUTOMATIC REPLAY SPOOFING ATTACK DETECTION
Zhuxin Chen, Weibin Zhang, Zhifeng Xie, Xiangmin Xu, South China University of Technology, China; Dongpeng Chen, Shengyang Technology Company, China
IFS-P2.4: EXPLORING HASHING AND CRYPTONET BASED APPROACHES FOR PRIVACY-PRESERVING SPEECH EMOTION RECOGNITION
Miguel Dias, Alberto Abad, Isabel Trancoso, Instituto Superior Tecnico - Universidade de Lisboa, Portugal
IFS-P2.5: MOTOR IMAGERY FOR EEG BIOMETRICS USING CONVOLUTIONAL NEURAL NETWORK
Rig Das, Emanuele Maiorana, Patrizio Campisi, Roma Tre University, Italy
IFS-P2.6: A REVISIT OF ACTION DETECTION USING IMPROVED TRAJECTORIES
Konstantinos Papadopoulos, Michel Antunes, Djamila Aouada, Bjorn Ottersten, Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg
IFS-P2.7: DIFFERENTIALLY PRIVATE DEEP LEARNING WITH TIGHT PRIVACY-COST COMPUTATION
Jun Zhao, Carnegie Mellon University, United States
IFS-P2.8: MUTUAL-INFORMATION-PRIVATE ONLINE GRADIENT DESCENT ALGORITHM
Ruochi Zhang, Parv Venkitasubramaniam, Lehigh University, United States
IFS-P2.9: MAKING LIKELIHOOD RATIOS DIGESTIBLE FOR CROSS-APPLICATION PERFORMANCE ASSESSMENT
Andreas Nautsch, Hochschule Darmstadt, Germany; Didier Meuwly, Universiteit Twente, Netherlands Forensic Institute, Netherlands; Daniel Ramos, Universidad Autonoma de Madrid, Spain; Jonas Lindh, Göteborgs Universitet, Sweden; Christoph Busch, Hochschule Darmstadt, Germany
IFS-P3.1: SPEECH WATERMARKING BASED ON ROBUST PRINCIPAL COMPONENT ANALYSIS AND FORMANT MANIPULATIONS
Shengbei Wang, Weitao Yuan, Jianming Wang, Tianjin Polytechnic University, China; Masashi Unoki, Japan Advanced Institute of Science and Technology, Japan
IFS-P3.2: WATERMARKING AND RANK METRIC CODES
Pascal Lefevre, Philippe Carre, University of Poitiers, France; Philippe Gaborit, University of Limoges, France
IFS-P3.3: YEDROUDJ-NET: AN EFFICIENT CNN FOR SPATIAL STEGANALYSIS
Mehdi Yedroudj, Frédéric Comby, Montpellier University, France; Marc Chaumont, Nimes University, France
IFS-P3.4: 2D VECTOR MAP REVERSIBLE DATA HIDING WITH TOPOLOGICAL RELATION PRESERVATION
Nana Wang, Xiangjun Zhao, Jiangsu Normal University, China
IFS-P3.5: REVERSIBLE DATA HIDING IN ENCRYPTED IMAGES BASED ON RESERVING ROOM AFTER ENCRYPTION AND MULTIPLE PREDICTORS
Ioan Catalin Dragoi, Dinu Coltuc, Valahia University of Targoviste, Romania
IFS-P3.6: MULTIPLE JPEG COMPRESSION DETECTION THROUGH TASK-DRIVEN NON-NEGATIVE MATRIX FACTORIZATION
Sara Mandelli, Nicolo' Bonettini, Paolo Bestagini, Vincenzo Lipari, Stefano Tubaro, Politecnico di Milano, Italy
IFS-P3.7: A ROTATION-INVARIANT CONVOLUTIONAL NEURAL NETWORK FOR IMAGE ENHANCEMENT FORENSICS
Yifang Chen, Zixian Lyu, Xiangui Kang, Sun Yat-sen University, China; Z. Jane Wang, University of British Colombia, Canada
IFS-P3.8: TOWARDS OPTIMUM COUNTERFORENSICS OF MULTIPLE SIGNIFICANT DIGITS USING MAJORISATION-MINIMISATION
Félix Balado, Guénolé C. Silvestre, University College Dublin, Ireland
IFS-P3.9: AUTOMATIC STEGANOGRAPHIC DISTORTION LEARNING USING A GENERATIVE ADVERSARIAL NETWORK
Weixuan Tan, Sun Yat-sen University, China; Shunquan Tan, Bin Li, Jiwu Huang, Shenzhen University, China
IDSP-P1.1: INDIVIDUAL SHIP DETECTION USING UNDERWATER ACOUSTICS
Damianos Karakos, Jan Silovsky, Richard Schwartz, William Hartmann, John Makhoul, Raytheon BBN Technologies, United States
IDSP-P1.2: MACHINE LOAD ESTIMATION VIA STACKED AUTOENCODER REGRESSION
Tulika Bose, Tata Consultancy Services, India; Angshul Majumdar, Indraprastha Institute of Information Technology, India; Tanushyam Chattopadhyay, Tata Consultancy Services, India
IDSP-P1.3: MULTILAYER ADAPTATION BASED COMPLEX ECHO CANCELLATION AND VOICE ENHANCEMENT
Jun Yang, Amazon Lab126, United States
IDSP-P1.4: ROBUST BEAT-TO-BEAT DETECTION ALGORITHM FOR PULSE RATE VARIABILITY ANALYSIS FROM WRIST PHOTOPLETHYSMOGRAPHY SIGNALS
Foroohar Foroozan, Analog Devices Inc., Canada; Madhan Mohan, Jasmin Infotech, India; Jian Shu Wu, Analog Devices Inc., Canada
IDSP-P1.5: NEW MULTI-CARRIER DEMODULATION METHOD APPLIED TO GEARBOX VIBRATION ANALYSIS
Elisa Hubert, Axel Barrau, Mohammed El Badaoui, Safran, France
IDSP-P1.6: COMPRESSED SENSING MASK FEATURE IN TIME-FREQUENCY DOMAIN FOR CIVIL FLIGHT RADAR EMITTER RECOGNITION
Mingzhe Zhu, Xinliang Zhang, Yue Qi, Hongbing Ji, Xidian University, China
IDSP-P1.7: VIDEO ENHANCEMENT WITH CONVEX OPTIMIZATION METHODS
Benoit Boyadjis, Thales Communications and Security, France; Andrei Purica, Beatrice Pesquet-Popescu, Telecom ParisTech, France; Frederic Dufaux, L2S CNRS CentraleSupelec, France
IDSP-P1.8: OVERLAPPING ANIMAL SOUND CLASSIFICATION USING SPARSE REPRESENTATION
Na Lin, Haixin Sun, Key Laboratory of Underwater Acoustic Communication and Marine Information Technology (Xiamen University), Ministry of Education, China; Xiao-Ping Zhang, Ryerson University, Canada
IDSP-P1.9: TOWARDS A WEARABLE COUGH DETECTOR BASED ON NEURAL NETWORKS
Prad Kadambi, Abinash Mohanty, Hao Ren, Arizona State University, United States; Jaclyn Smith, Kevin McGuinnes, Kimberly Holt, University of Manchester, United Kingdom; Armin Furtwaengler, Roberto Slepetys, Zheng Yang, Boehringer Ingelheim, Germany; Jae-Sun Seo, Junseok Chae, Yu Cao, Visar Berisha, Arizona State University, United States
IDSP-P1.10: ADAPTIVE NOISE CANCELLER WITH SNR ESTIMATE SWITCHOVER FOR STEPSIZE CONTROL
Akihiko Sugiyama, NEC Corporation, Japan
MLSP-L1.1: A GREEDY PURSUIT ALGORITHM FOR SEPARATING SIGNALS FROM NONLINEAR COMPRESSIVE OBSERVATIONS
Dung Tran, Akshay Rangamani, Johns Hopkins University, United States; Sang (Peter) Chin, Boston University, United States; Trac Duy Tran, Johns Hopkins University, United States
MLSP-L1.2: CONCAVE LOSSES FOR ROBUST DICTIONARY LEARNING
Rafael Will M. de Araujo, Roberto Hirata Jr, University of São Paulo, Brazil; Alain Rakotomamonjy, Universite de Rouen Normandie, France
MLSP-L1.3: STRUCTURED ANALYSIS DICTIONARY LEARNING FOR IMAGE CLASSIFICATION
Wen Tang, Ashkan Panahi, Hamid Krim, North Carolina State University, United States; Liyi Dai, U.S. Army Research, United States
MLSP-L1.4: JOINT INDEPENDENT SUBSPACE ANALYSIS BY COUPLED BLOCK DECOMPOSITION: NON-IDENTIFIABLE CASES
Dana Lahat, Christian Jutten, GIPSA-Lab, France
MLSP-L1.5: LEARNED CONVOLUTIONAL SPARSE CODING
Hillel Sreter, Raja Giryes, Tel-Aviv University, Israel
MLSP-L1.6: SPARSE TOPOLOGY IDENTIFICATION FOR POINT PROCESS NETWORKS
Syed Ahmed Pasha, Air University, Pakistan; Victor Solo, University of New South Wales, Australia
MLSP-L2.1: IMPROVED ALGORITHMS FOR DIFFERENTIALLY PRIVATE ORTHOGONAL TENSOR DECOMPOSITION
Hafiz Imtiaz, Anand D. Sarwate, Rutgers University, United States
MLSP-L2.2: DIFFERENTIALLY PRIVATE DISTRIBUTED PRINCIPAL COMPONENT ANALYSIS
Hafiz Imtiaz, Anand D. Sarwate, Rutgers University, United States
MLSP-L2.3: DPCA: DIMENSIONALITY REDUCTION FOR DISCRIMINATIVE ANALYTICS OF MULTIPLE LARGE-SCALE DATASETS
Gang Wang, Jia Chen, Georgios B. Giannakis, University of Minnesota, Minneapolis, United States
MLSP-L2.4: PARALLEL VECTOR FIELD REGULARIZED NON-NEGATIVE MATRIX FACTORIZATION FOR IMAGE REPRESENTATION
Yong Peng, Rixin Tang, Wanzeng Kong, Feiwei Qin, Hangzhou Dianzi University, China; Feiping Nie, Northwestern Polytechnical University, China
MLSP-L2.5: TENSOR-BASED NONLINEAR CLASSIFIER FOR HIGH-ORDER DATA ANALYSIS
Konstantinos Makantasis, University of Cyprus, Cyprus; Anastasios Doulamis, Nikolaos Doulamis, National Technical University of Athens, Greece; Antonis Nikitakis, Althexis Solutions Ltd, Cyprus; Athanasios Voulodimos, National Technical University of Athens, Greece
MLSP-L2.6: GLOBAL OPTIMALITY IN INDUCTIVE MATRIX COMPLETION
Mohsen Ghassemi, Anand D. Sarwate, Rutgers University, United States; Naveen Goela, Technicolor, United States
MLSP-L3.1: LANGUAGE TRANSFER OF AUDIO WORD2VEC: LEARNING AUDIO SEGMENT REPRESENTATIONS WITHOUT TARGET LANGUAGE DATA
Chia-Hao Shen, National Taiwan University, Taiwan; Janet Y. Sung, Harvard University, Taiwan; Hung-Yi Lee, National Taiwan University, Taiwan
MLSP-L3.2: LIMITING NUMERICAL PRECISION OF NEURAL NETWORKS TO ACHIEVE REAL-TIME VOICE ACTIVITY DETECTION
Jong Hwan Ko, Georgia Institute of Technology, United States; Josh Fromm, University of Washington, United States; Matthai Philipose, Ivan Tashev, Shuayb Zarar, Microsoft AI and Research, United States
MLSP-L3.3: INVARIANCES AND DATA AUGMENTATION FOR SUPERVISED MUSIC TRANSCRIPTION
John Thickstun, Zaid Harchaoui, University of Washington, United States; Dean P. Foster, Amazon, United States; Sham M. Kakade, University of Washington, United States
MLSP-L3.4: ENERGY-EFFICIENT SPEAKER IDENTIFICATION WITH LOW-PRECISION NETWORKS
Skanda Koppula, James Glass, Anantha Chandrakasan, Massachusetts Institute of Technology, United States
MLSP-L3.5: FFTNET: A REAL-TIME SPEAKER-DEPENDENT NEURAL VOCODER
Zeyu Jin, Adam Finkelstein, Princeton University, United States; Gautham Mysore, Jingwan Lu, Adobe Research, United States
MLSP-L3.6: ON USING BACKPROPAGATION FOR SPEECH TEXTURE GENERATION AND VOICE CONVERSION
Jan Chorowski, Ron Weiss, Google Brain, Poland; Rif A. Saurous, Google Inc., United States; Samy Bengio, Google Brain, United States
MLSP-L4.1: SELFISH LEARNING: LEVERAGING THE GREED IN SOCIAL LEARNING
Ravi Kiran Raman, University of Illinois at Urbana-Champaign, United States; Srilakshmi Pattabiraman, University of Texas at Austin, United States
MLSP-L4.2: OUTLIER REMOVAL FOR ENHANCING KERNEL-BASED CLASSIFIER VIA THE DISCRIMINANT INFORMATION
Thee Chanyaswad, Mert Al, S. Y. Kung, Princeton University, United States
MLSP-L4.3: EFFICIENT WORKER ASSIGNMENT IN CROWDSOURCED DATA LABELING USING GRAPH SIGNAL PROCESSING
Javier Maroto, Antonio Ortega, University of Southern California, Spain
MLSP-L4.4: THE CHORD GAP DIVERGENCE AND A GENERALIZATION OF THE BHATTACHARYYA DISTANCE
Frank Nielsen, Ecole Polytechnique, France
MLSP-L4.5: DISCRIMINATIVE PROBABILISTIC FRAMEWORK FOR GENERALIZED MULTI-INSTANCE LEARNING
Anh Pham, Raviv Raich, Xiaoli Fern, Weng-Keen Wong, Xinze Guan, Oregon State University, United States
MLSP-L4.6: CONVERGENCE OF VARIANCE-REDUCED LEARNING UNDER RANDOM RESHUFFLING
Bicheng Ying, Kun Yuan, University of California, Los Angeles, United States; Ali H. Sayed, Ecole Polytechnique Fédérale de Lausanne, Switzerland
MLSP-L5.1: DISCRIMINATIVE CLUSTERING WITH CARDINALITY CONSTRAINTS
Anh Pham, Raviv Raich, Xiaoli Fern, Oregon State University, United States
MLSP-L5.2: EXPONENTIALLY CONSISTENT K-MEANS CLUSTERING ALGORITHM BASED ON KOLMOGROV-SMIRNOV TEST
Tiexing Wang, Syracuse University, United States; Donald Bucci, Lockheed Martin, United States; Yingbin Liang, The Ohio State University, United States; Biao Chen, Pramod K. Varshney, Syracuse University, United States
MLSP-L5.3: MULTI TASK LEARNING WITH POSITIVE AND UNLABELED DATA AND ITS APPLICATION TO MENTAL STATE PREDICTION
Hirotaka Kaji, Hayato Yamaguchi, Toyota Motor Corp., Japan; Masashi Sugiyama, RIKEN, Japan
MLSP-L5.4: DIRECTLY SOLVING THE ORIGINAL RATIOCUT PROBLEM FOR EFFECTIVE DATA CLUSTERING
Jing Li, Feiping Nie, Xuelong Li, Northwestern Polytechnical University, China
MLSP-L5.5: CONSECUTIVE INDEPENDENCE AND CORRELATION TRANSFORM FOR MULTIMODAL FUSION: APPLICATION TO EEG AND FMRI DATA
Mohammad Abu Baker Siddique Akhonda, University of Maryland, Baltimore County, United States; Yuri Levin-Schwartz, Icahn School of Medicine at Mount Sinai, United States; Suchita Bhinge, University of Maryland, Baltimore County, United States; Vince D. Calhoun, The Mind Research Network, United States; Tulay Adali, University of Maryland, Baltimore County, United States
MLSP-L5.6: FEATURE MATCHING BASED ON TOP K RANK SIMILARITY
Junjun Jiang, National Institute of Informatics, Japan; Qing Ma, Central China Normal University, China; Tao Lu, Wuhan Institute Of Technology, China; Zhongyuan Wang, Jiayi Ma, Wuhan University, China
MLSP-L6.1: SEMI-RECURRENT CNN-BASED VAE-GAN FOR SEQUENTIAL DATA GENERATION
Mohammad Akbari, Jie Liang, Simon Fraser University, Canada
MLSP-L6.2: DEEP LEARNING FOR JOINT SOURCE-CHANNEL CODING OF TEXT
Nariman Farsad, Milind Rao, Andrea Goldsmith, Stanford University, United States
MLSP-L6.3: SLIDING BIDIRECTIONAL RECURRENT NEURAL NETWORKS FOR SEQUENCE DETECTION IN COMMUNICATION SYSTEMS
Nariman Farsad, Andrea Goldsmith, Stanford University, United States
MLSP-L6.4: BOUNDARY OBJECTNESS NETWORK FOR OBJECT DETECTION AND LOCALIZATION
Juan Wang, Xiaoming Tao, Tsinghua University, China; Mai Xu, Beihang University, China; Jianhua Lu, Tsinghua University, China
MLSP-L6.5: FAST VEHICLE DETECTION WITH LATERAL CONVOLUTIONAL NEURAL NETWORK
Chenhang He, Kin-Man Lam, The Hong Kong Polytechnic University, China
MLSP-L6.6: TRUE GRADIENT-BASED TRAINING OF DEEP BINARY ACTIVATED NEURAL NETWORKS VIA CONTINUOUS BINARIZATION
Charbel Sakr, University of Illinois at Urbana-Champaign, United States; Jungwook Choi, Zhuo Wang, Kailash Gopalakrishnan, IBM T.J. Watson Research Center, United States; Naresh Shanbhag, University of Illinois at Urbana-Champaign, United States
MLSP-L7.1: DISTRIBUTED LEARNING BASED ON RECURRENT NEURAL NETWORKS FOR BIG DATA APPLICATIONS
Tolga Ergen, Suleyman Serdar Kozat, Bilkent University, Turkey
MLSP-L7.2: AN UPPER-BOUND ON THE REQUIRED SIZE OF A NEURAL NETWORK CLASSIFIER
Hossein Valavi, Peter J. Ramadge, Princeton University, United States
MLSP-L7.3: TRANSFERRING INFORMATION BETWEEN NEURAL NETWORKS
Christopher Ehmann, Wojciech Samek, Fraunhofer Heinrich Hertz Institute, Germany
MLSP-L7.4: COMPLEMENTARY SET VARIATIONAL AUTOENCODER FOR SUPERVISED ANOMALY DETECTION
Yuta Kawachi, Yuma Koizumi, Noboru Harada, NTT Media Intelligence Laboratories, Japan
MLSP-L7.5: DEEP LEARNING FOR PREDICTING IMAGE MEMORABILITY
Hammad Squalli-Houssaini, Ngoc Q. K. Duong, Gwenaelle Marquant, Claire-Helene Demarty, Technicolor, France
MLSP-L7.6: CRIME INCIDENTS EMBEDDING USING RESTRICTED BOLTZMANN MACHINE
Shixiang Zhu, Yao Xie, Georgia Institute of Technology, United States
MLSP-L8.1: SPEAKER INVARIANT FEATURE EXTRACTION FOR ZERO-RESOURCE LANGUAGES WITH ADVERSARIAL LEARNING
Taira Tsuchiya, Naohiro Tawara, Tetsuji Ogawa, Tetsunori Kobayashi, Waseda University, Japan
MLSP-L8.2: SOUND SOURCE LOCALIZATION IN A MULTIPATH ENVIRONMENT USING CONVOLUTIONAL NEURAL NETWORKS
Eric L. Ferguson, Stefan B. Williams, Craig T. Jin, The University of Sydney, Australia
MLSP-L8.3: ADVERSARIAL SEMI-SUPERVISED AUDIO SOURCE SEPARATION APPLIED TO SINGING VOICE EXTRACTION
Daniel Stoller, Queen Mary University of London, United Kingdom; Sebastian Ewert, Spotify, United Kingdom; Simon Dixon, Queen Mary University of London, United Kingdom
MLSP-L8.4: UNDERSTANDING RECURRENT NEURAL STATE USING MEMORY SIGNATURES
Skanda Koppula, Massachusetts Institute of Technology, United States; Khe Chai Sim, Kean Chin, Google Inc., United States
MLSP-L8.5: CONVOLUTIONAL-RECURRENT NEURAL NETWORKS FOR SPEECH ENHANCEMENT
Han Zhao, Carnegie Mellon University, United States; Shuayb Zarar, Ivan Tashev, Microsoft Research, Redmond, United States; Chin-Hui Lee, Georgia Institute of Technology, United States
MLSP-L8.6: VISUALIZATION AND INTERPRETATION OF SIAMESE STYLE CONVOLUTIONAL NEURAL NETWORKS FOR SOUND SEARCH BY VOCAL IMITATION
Yichi Zhang, Zhiyao Duan, University of Rochester, United States
MLSP-P1.1: ROBUST PRINCIPAL COMPONENT ANALYSIS WITH MATRIX FACTORIZATION
Yongyong Chen, Yicong Zhou, University of Macau, China
MLSP-P1.2: PARTITIONING RELATIONAL MATRICES OF SIMILARITIES OR DISSIMILARITIES USING THE VALUE OF INFORMATION
Isaac Sledge, Jose Principe, University of Florida, United States
MLSP-P1.3: STREAMING BINARY SKETCHING BASED ON SUBSPACE TRACKING AND DIAGONAL UNIFORMIZATION
Anne Morvan, Antoine Souloumiac, Cedric Gouy-Pailler, CEA, France; Jamal Atif, Universite Paris-Dauphine, France
MLSP-P1.4: ROBUST MATRIX COMPLETION VIA ALTERNATING PROJECTION
Xue Jiang, Shanghai Jiao Tong University, China; Zhimeng Zhong, Huawei Technologies Co., Ltd, China; Xingzhao Liu, Shanghai Jiao Tong University, China; Hing Cheung So, City University of Hong Kong, China
MLSP-P1.5: HI, BCD! HYBRID INEXACT BLOCK COORDINATE DESCENT FOR HYPERSPECTRAL SUPER-RESOLUTION
Ruiyuan Wu, Chun Hei Chan, The Chinese University of Hong Kong, China; Hoi-To Wai, Arizona State University, United States; Wing-Kin Ma, The Chinese University of Hong Kong, China; Xiao Fu, Oregon State University, United States
MLSP-P1.6: NONNEGATIVE MATRIX FACTORIZATION WITH TRANSFORM LEARNING
Dylan Fagot, Herwig Wendt, Cedric Fevotte, CNRS, IRIT, France
MLSP-P1.7: ORTHOGONALITY-REGULARIZED MASKED NMF FOR LEARNING ON WEAKLY LABELED AUDIO DATA
Iwona Sobieraj, Lucas Rencker, Mark D. Plumbley, University of Surrey, United Kingdom
MLSP-P1.8: RANDOM MATRIX ASYMPTOTICS OF INNER PRODUCT KERNEL SPECTRAL CLUSTERING
Hafiz Tiomoko Ali, CentraleSupelec, France; Abla Kammoun, King Abdullah University of Science and Technology, Saudi Arabia; Romain Couillet, CentraleSupelec, France
MLSP-P1.9: RADAR DATA CUBE ANALYSIS FOR FALL DETECTION
Baris Erol, Moeness Amin, Villanova University, United States
MLSP-P1.10: FACTOR ANALYSIS FROM QUADRATIC SAMPLING
Sundeep Prabhakar Chepuri, Delft University of Technology, Netherlands
MLSP-P2.1: AUGMENTED LATENT DIRICHLET ALLOCATION (LDA) TOPIC MODEL WITH GAUSSIAN MIXTURE TOPICS
Kedar Prabhudesai, Boyla Mainsah, Leslie Collins, Chandra Throckmorton, Duke University, United States
MLSP-P2.2: INDIAN BUFFET PROCESS DEEP GENERATIVE MODELS FOR SEMI-SUPERVISED CLASSIFICATION
Sotirios Chatzis, Cyprus University of Technology, Cyprus
MLSP-P2.3: CLUSTERING-GUIDED GP-UCB FOR BAYESIAN OPTIMIZATION
Jungtaek Kim, Seungjin Choi, POSTECH, Korea (South)
MLSP-P2.4: SCALABLE HIERARCHICAL MIXTURE OF GAUSSIAN PROCESSES FOR PATTERN CLASSIFICATION
Thi Nhat Anh Nguyen, Abdesselam Bouzerdoum, Son Lam Phung, University of Wollongong, Australia
MLSP-P2.5: LEARNING GAUSSIAN GRAPHICAL MODELS USING DISCRIMINATED HUB GRAPHICAL LASSO
Zhen Li, Jingtian Bai, Weilian Zhou, North Carolina State University, United States
MLSP-P2.6: SPARSE THREE-PARAMETER RESTRICTED INDIAN BUFFET PROCESS FOR UNDERSTANDING INTERNATIONAL TRADE
Melanie F. Pradier, University Carlos III in Madrid, Spain; Viktor Stojkoski, Zoran Utkovski, Lujupco Kocarev, Macedonian Academy of Sciences and Arts, Macedonia, Rep. of; Fernando Perez-Cruz, University Carlos III in Madrid, Spain
MLSP-P2.7: RATE-OPTIMAL META LEARNING OF CLASSIFICATION ERROR
Morteza Noshad, Alfred O. Hero, University of Michigan, United States
MLSP-P3.1: CONVOLUTIONAL SEQUENCE TO SEQUENCE MODEL WITH NON-SEQUENTIAL GREEDY DECODING FOR GRAPHEME TO PHONEME CONVERSION
Moon-Jung Chae, Seoul National University, Korea (South); Kyubyong Park, Kakao Brain Corporation, Korea (South); Jinhyun Bang, Soobin Suh, Jonghyuk Park, Seoul National University, Korea (South); Namju Kim, Kakao Brain Corporation, Korea (South); Jonghun Park, Seoul National University, Korea (South)
MLSP-P3.2: EVENTNESS: OBJECT DETECTION ON SPECTROGRAMS FOR TEMPORAL LOCALIZATION OF AUDIO EVENTS
Phuong Pham, University of Pittsburgh, United States; Juncheng Li, Carnegie Mellon University, United States; Joseph Szurley, Samarjit Das, Robert Bosch LLC, United States
MLSP-P3.3: JOINT SPEAKER DIARIZATION AND RECOGNITION USING CONVOLUTIONAL AND RECURRENT NEURAL NETWORKS
Zhihan Zhou, Yichi Zhang, Zhiyao Duan, University of Rochester, United States
MLSP-P3.4: DISTRIBUTED SUBMODULAR MAXIMIZATION FOR LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION
Jun Qi, University of Washington, United States; Xu Liu, Shunshuke Kamijo, The University of Tokyo, Japan; Javier Tejedor, Universidad San Pablo-CEU, CEU Universities, Spain
MLSP-P3.5: VOICE IMPERSONATION USING GENERATIVE ADVERSARIAL NETWORKS
Yang Gao, Rita Singh, Bhiksha Raj, Carnegie Mellon University, United States
MLSP-P3.6: END-TO-END LOW-RESOURCE LIP-READING WITH MAXOUT CNN AND LSTM
Ivan Fung, Brian Mak, The Hong Kong University of Science and Technology, China
MLSP-P3.7: LIP2AUDSPEC: SPEECH RECONSTRUCTION FROM SILENT LIP MOVEMENTS VIDEO
Hassan Akbari, Himani Arora, Liangliang Cao, Nima Mesgarani, Columbia University, United States
MLSP-P3.8: END-TO-END OPTIMIZED SPEECH CODING WITH DEEP NEURAL NETWORKS
Srihari Kankanahalli, Bloomberg LP, United States
MLSP-P3.9: EFFECTIVE ATTENTION MECHANISM IN DYNAMIC MODELS FOR SPEECH EMOTION RECOGNITION
Po-Wei Hsiao, Chia-Ping Chen, National Sun Yat-sen University, Taiwan
MLSP-P3.10: A HYBRID APPROACH TO COMBINING CONVENTIONAL AND DEEP LEARNING TECHNIQUES FOR SINGLE-CHANNEL SPEECH ENHANCEMENT AND RECOGNITION
Yanhui Tu, University of Science and Technology of China, China; Ivan Tashev, Shuayb Zarar, Microsoft, United States; Chin-Hui Lee, Georgia Institute of Technology, United States
MLSP-P4.1: TOWARDS ADAPTIVE DEEP BRAIN STIMULATION IN PARKINSON'S DISEASE: LFP-BASED FEATURE ANALYSIS AND CLASSIFICATION
Taige Wang, University of California, San Diego, United States; Mahsa Shoaran, Cornell University, United States; Azita Emami, California Institute of Technology, United States
MLSP-P4.2: ECG DELINEATION FOR QT INTERVAL ANALYSIS USING AN UNSUPERVISED LEARNING METHOD
Habib Hajimolahoseini, Javad Hashemi, Damian Redfearn, Queen's University, Canada
MLSP-P4.3: ROBUST DETECTION OF EPILEPTIC SEIZURES USING DEEP NEURAL NETWORKS
Ramy Hussein, University of British Columbia, Canada; Hamid Palangi, Microsoft, United States; Z. Jane Wang, Rabab Ward, University of British Columbia, Canada
MLSP-P4.4: SEMI-SUPERVISED SLEEP-STAGE SCORING BASED ON SINGLE CHANNEL EEG
Andreas Muff Munk, Kristoffer Vinther Olesen, Sirin Wilhelmsen Gangstad, Lars K. Hansen, Technical University of Denmark, Denmark
MLSP-P4.5: CONVOLUTIONAL NEURAL NETWORK APPROACH FOR EEG-BASED EMOTION RECOGNITION USING BRAIN CONNECTIVITY AND ITS SPATIAL INFORMATION
Seong-Eun Moon, Soobeom Jang, Jong-Seok Lee, Yonsei University, Korea (South)
MLSP-P4.6: EXPLORING MOTOR IMAGERY EEG PATTERNS FOR STROKE PATIENTS WITH DEEP NEURAL NETWORKS
Dawei Cheng, Ye Liu, Liqing Zhang, Shanghai Jiao Tong University, China
MLSP-P4.7: EVALUATING MODELS OF DYNAMIC FUNCTIONAL CONNECTIVITY USING PREDICTIVE CLASSIFICATION ACCURACY
Soeren F. V. Nielsen, Technical University of Denmark, Denmark; Yuri Levin-Schwartz, University of Maryland, Baltimore County, United States; Diego Vidaurre, University of Oxford, United Kingdom; Tulay Adali, University of Maryland, Baltimore County, United States; Vince D. Calhoun, University of New Mexico, United States; Kristoffer H. Madsen, Copenhagen University Hospital Hvidovre, Denmark; Lars K. Hansen, Morten Morup, Technical University of Denmark, Denmark
MLSP-P4.8: NONLINEAR PROBABILISTIC LATENT VARIABLE MODELS FOR GROUPWISE CORRESPONDENCE ANALYSIS IN BRAIN STRUCTURES
Hernan F. Garcia, Alvaro A. Orozco, UNIVERSIDAD TECNOLOGICA DE PEREIRA, Colombia; Mauricio A. Alvarez, The University of Shefield, United Kingdom
MLSP-P4.9: COGNITIVE ANALYSIS OF WORKING MEMORY LOAD FROM EEG, BY A DEEP RECURRENT NEURAL NETWORK
Shiba Kuanar, Vassilis Athitsos, University of Texas at Arlington, United States; Nityananda Pradhan, National Institute of Mental Health and Neurosciences (NIMHANS), India; Arabinda Mishra, Vanderbilt University, United States; Kamisetty Rao, University of Texas at Arlington, United States
MLSP-P4.10: CONSISTENT RUN SELECTION FOR INDEPENDENT COMPONENT ANALYSIS: APPLICATION TO FMRI ANALYSIS
Qunfang Long, Chunying Jia, University of Maryland, Baltimore County, United States; Zois Boukouvalas, University of Maryland College Park, United States; Ben Gabrielson, Darren Emge, Tulay Adali, University of Maryland, Baltimore County, United States
MLSP-P5.1: FORWARD VEHICLE COLLISION WARNING BASED ON QUICK CAMERA CALIBRATION
Yuwei Lu, Yuan Yuan, Qi Wang, Northwestern Polytechnical University, China
MLSP-P5.2: NOISE-ROBUST AND RESOLUTION-INVARIANT IMAGE CLASSIFICATION WITH PIXEL-LEVEL REGULARIZATION
Taesik Na, Jong Hwan Ko, Saibal Mukhopadhyay, Georgia Institute of Technology, United States
MLSP-P5.3: MULTI-SCALE OBJECT DETECTION WITH FEATURE FUSION AND REGION OBJECTNESS NETWORK
Wenjie Guan, Yuexian Zou, Xiaoqun Zhou, Peking University, China
MLSP-P5.4: A ROBUST MACHINE LEARNING METHOD FOR CELL-LOAD APPROXIMATION IN WIRELESS NETWORKS
Daniyal Amir Awan, Technical University of Berlin, Germany; Renato L. G. Cavalcante, Fraunhofer Institute for Telecommunications, HHI, Germany; Slawomir Stanczak, Technical University of Berlin, Germany
MLSP-P5.5: IMPROVING SAR AUTOMATIC TARGET RECOGNITION USING SIMULATED IMAGES UNDER DEEP RESIDUAL REFINEMENTS
Miriam Cha, Harvard University, United States; Arjun Majumdar, MIT Lincoln Laboratory, United States; H.T. Kung, Harvard University, United States; Jarred Barber, MIT Lincoln Laboratory, United States
MLSP-P5.6: ADAPTIVE CLUSTERING ALGORITHM FOR COOPERATIVE SPECTRUM SENSING IN MOBILE ENVIRONMENTS
Jesus Perez, Ignacio Santamaria, University of Cantabria, Spain
MLSP-P5.7: ONLINE DIRECTION OF ARRIVAL ESTIMATION BASED ON DEEP LEARNING
Qinglong Li, Xueliang Zhang, Hao Li, Inner Mongolia University, China
MLSP-P5.8: RFCM FOR DATA ASSOCIATION AND MULTITARGET TRACKING USING 3D RADAR
Chun-Nien Chan, Carrson Fung, National Chiao Tung University, Taiwan
MLSP-P5.9: INVERSE ATMOSHPERIC SCATTERING MODELING WITH CONVOLUTIONAL NEURAL NETWORKS FOR SINGLE IMAGE DEHAZING
Zehan Chen, Yi Wang, Peking University Shenzhen Graduate School, China; Yuexian Zou, Peking University, China
MLSP-P5.10: MOBILE BAYESIAN SPECTRUM LEARNING FOR HETEROGENEOUS NETWORKS
Yizhen Xu, Peng Cheng, The University of Sydney, Australia; Zhuo Chen, CSIRO, Australia; Yongjun Hu, Guangzhou University, China; Yonghui Li, Branka Vucetic, The University of Sydney, Australia
MLSP-P6.1: AUTOMATIC CONFLICT DETECTION IN POLICE BODY-WORN AUDIO
Alistair Letcher, University of Oxford, United Kingdom; Jelena Trisovic, University of Belgrade, Serbia; Collin Cademartori, Brown University, United States; Xi Chen, Carleton College, United States; Jason Xu, University of California, Los Angeles, United States
MLSP-P6.2: LEARNING TEMPORAL RELATIONSHIPS BETWEEN FINANCIAL SIGNALS
Dawei Cheng, Yi Tu, Shanghai Jiao Tong University, China; Zhibin Niu, Tianjing Universiy, China; Liqing Zhang, Shanghai Jiao Tong University, China
MLSP-P6.3: EXPLOITATION OF SEMANTIC KEYWORDS FOR MALICIOUS EVENT CLASSIFICATION
Hyungtae Lee, Sungmin Eum, Booz Allen Hamilton Inc., United States; Joel Levis, Ohio University, United States; Heesung Kwon, James Michaelis, Michael Kolodny, U.S. Army Research Laboratory, United States
MLSP-P6.4: HOW SAMPLING RATE AFFECTS CROSS-DOMAIN TRANSFER LEARNING FOR VIDEO DESCRIPTION
Yu-Sheng Chou, National Taiwan University, Taiwan; Pai-Heng Hsiao, Memorence A.I., Taiwan; Shou-De Lin, National Taiwan University, Taiwan; Hong-Yuan Liao, Academia Sinica, Taiwan
MLSP-P6.5: NEURAL SEQUENTIAL MALWARE DETECTION WITH PARAMETERS
Rakshit Agrawal, University of California, Santa Cruz, United States; Jack Stokes, Mady Marinescu, Karthik Selvaraj, Microsoft, United States
MLSP-P6.6: EXTENDED PIPELINE FOR CONTENT-BASED FEATURE ENGINEERING IN MUSIC GENRE RECOGNITION
Tina Raissi, RWTH Aachen University, Germany; Alessandro Tibo, University of Florence, Italy; Paolo Bientinesi, RWTH Aachen University, Italy
MLSP-P6.7: A FEATURE FUSION METHOD BASED ON EXTREME LEARNING MACHINE FOR SPEECH EMOTION RECOGNITION
Lili Guo, Longbiao Wang, Tianjin University, China; Jianwu Dang, Tianjin University; Japan Advanced Institute of Science and Technology, China; Linjuan Zhang, Haotian Guan, Tianjin University, China
MLSP-P6.8: AN UNSUPERVISED ANOMALOUS EVENT DETECTION FRAMEWORK WITH CLASS AWARE SOURCE SEPARATION
Burhan Ahmad Mudassar, Jong Hwan Ko, Saibal Mukhopadhyay, Georgia Institute of Technology, United States
MLSP-P6.9: SCALABLE ENERGY DISAGGREGATION VIA SUCCESSIVE SUBMODULAR APPROXIMATION
Faisal Almutairi, University of Minnesota, United States; Aritra Konar, Nicholas D. Sidiropoulos, University of Virginia, United States
MLSP-P6.10: COMPARING THE INFLUENCE OF DEPTH AND WIDTH OF DEEP NEURAL NETWORK BASED ON FIXED NUMBER OF PARAMETERS FOR AUDIO EVENT DETECTION
Jun Wang, Shengchen Li, Beijing University Of Posts And Telecommunications, China
MLSP-P7.1: OPEN SET RECOGNITION BY REGULARISING CLASSIFIER WITH FAKE DATA GENERATED BY GENERATIVE ADVERSARIAL NETWORKS
Inhyuk Jo, Jungtaek Kim, Pohang University of Science and Technology, Korea (South); Hyohyeong Kang, Yong-Deok Kim, Samsung Electronics, Korea (South); Seungjin Choi, Pohang University of Science and Technology, Korea (South)
MLSP-P7.2: REGULARIZED SVD-BASED VIDEO FRAME SALIENCY FOR UNSUPERVISED ACTIVITY VIDEO SUMMARIZATION
Ioannis Mademlis, Anastasios Tefas, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
MLSP-P7.3: LOCALITY-PRESERVING COMPLEX-VALUED GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR ROBUST FACE RECOGNITION
Sih-Huei Chen, Yuan-Shan Lee, Yu-Sheng Hsu, National Central University, Taiwan; Chung-Hsien Wu, National Cheng Kung University, Taiwan; Jia-Ching Wang, National Central University, Taiwan
MLSP-P7.4: SCENE IMAGE CLASSIFICATION USING REDUCED VIRTUAL FEATURE REPRESENTATION IN SPARSE FRAMEWORK
Krishan Sharma, Shikha Gupta, Dileep A. D., Renu Rameshan, Indian Institute of Technology Mandi, India
MLSP-P7.5: DEEP STOCK REPRESENTATION LEARNING: FROM CANDLESTICK CHARTS TO INVESTMENT DECISIONS
Guosheng Hu, Queen's University Belfast, United Kingdom; Yuxin Hu, Shanghai University of Finance and Economics, China; Kai Yang, University of Shanghai for Science and Technology, China; Zehao Yu, Xiamen University, China; Flood Sung, Independent researcher, China; Zhihong Zhang, Xiamen University, China; Fei Xie, Jianguo Liu, Shanghai University of Finance and Economics, China; Neil Robertson, Queen's University Belfast, United Kingdom; Timothy Hospedales, Qiangwei Miemie, The University of Edinburgh, United Kingdom
MLSP-P7.6: PATTERN LOCALIZATION IN TIME SERIES THROUGH SIGNAL-TO-MODEL ALIGNMENT IN LATENT SPACE
Steven Van Vaerenbergh, Ignacio Santamaria, University of Cantabria, Spain; Victor Elvira, IMT Lille Douai CRISTAL (UMR 9189), France; Matteo Salvatori, Tecnatom S.A., France
MLSP-P7.7: SEQUENTIAL ADAPTIVE DETECTION FOR IN-SITU TRANSMISSION ELECTRON MICROSCOPY (TEM)
Yang Cao, Shixiang Zhu, Yao Xie, Jordan Key, Josh Kacher, Georgia Institute of Technology, United States; Raymond Unocic, Christopher Rouleau, Oak Ridge National Laboratory, United States
MLSP-P7.8: AN ALGORITHM FOR MULTI SUBJECT FMRI ANALYSIS BASED ON THE SVD AND PENALIZED RANK-1 MATRIX APPROXIMATION
Asif Iqbal, Abd-Krim Seghouane, University of Melbourne, Australia
MLSP-P7.9: ROBUST FEATURE CLUSTERING FOR UNSUPERVISED SPEECH ACTIVITY DETECTION
Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen, The University of Texas at Dallas, United States
MLSP-P8.1: VECTOR L_O SPARSE CONDITIONAL INDEPENDENCE GRAPHS
Goran Marjanovic, Victor Solo, University of New South Wales, Australia
MLSP-P8.2: DATA DRIVEN CONVOLUTIONAL SPARSE CODING FOR VISUAL RECOGNITION
Yijie Zeng, Jichao Chen, Guang-Bin Huang, Nanyang Technological University, Singapore
MLSP-P8.3: SPARSE BOUNDED COMPONENT ANALYSIS FOR CONVOLUTIVE MIXTURES
Eren Babatas, Alper T. Erdogan, Koc University, Turkey
MLSP-P8.4: A FLEXIBLE DIRTY MODEL DICTIONARY LEARNING APPROACH FOR CLASSIFICATION
Jiaming Qi, Wei Chen, Beijing Jiaotong University, China
MLSP-P8.5: DICTIONARY LEARNING ALGORITHM FOR MULTI-SUBJECT FMRI ANALYSIS VIA TEMPORAL AND SPATIAL CONCATENATION
Asif Iqbal, Abd-Krim Seghouane, University of Melbourne, Australia
MLSP-P8.6: REGRESSING KERNEL DICTIONARY LEARNING
Kriti Kumar, Tata Consultancy Services, India; Angshul Majumdar, IIIT Delhi, India; Girish Chandra, A. Anil Kumar, Tata Consultancy Services, India
MLSP-P8.7: USING BLOCK COORDINATE DESCENT TO LEARN SPARSE CODING DICTIONARIES WITH A MATRIX NORM UPDATE
Bradley Whitaker, David Anderson, Georgia Institute of Technology, United States
MLSP-P8.8: DICTIONARY LEARNING FOR GAUSSIAN KERNEL ADAPTIVE FILTERING WITH VARIABLE KERNEL CENTER AND WIDTH
Tomoya Wada, Kosuke Fukumori, Toshihisa Tanaka, TUAT, Japan
MLSP-P8.9: PARALLEL STOCHASTIC SUCCESSIVE CONVEX APPROXIMATION METHOD FOR LARGE-SCALE DICTIONARY LEARNING
Alec Koppel, U.S. Army Research Laboratory, United States; Aryan Mokhtari, University of California, Berkeley, United States; Alejandro Ribeiro, University of Pennsylvania, United States
MLSP-P8.10: CONVOLUTIONAL GROUP-SPARSE CODING AND SOURCE LOCALIZATION
Pol del Aguila Pla, Joakim Jalden, KTH Royal Institute of Technology, Sweden
MLSP-P9.1: A GENERALIZED UNCORRELATED RIDGE REGRESSION WITH NONNEGATIVE LABELS FOR UNSUPERVISED FEATURE SELECTION
Han Zhang, Rui Zhang, Feiping Nie, School of Computer Science and Center for OPTical IMagery Analysis and Learning(OPTIMAL), China; Xuelong Li, Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, China
MLSP-P9.2: SUBSPACE CLUSTERING VIA OPTIMAL DIRECTION SEARCH
Mostafa Rahmani, George Atia, University of Central Florida, United States
MLSP-P9.3: ROBUST DENOISING OF PIECE-WISE SMOOTH MANIFOLDS
Shay Deutsch, University of California, Los Angeles, United States; Antonio Ortega, Gerard Medioni, University of Southern California, United States
MLSP-P9.4: A STATISTICAL SIGNAL PROCESSING APPROACH TO CLUSTERING OVER COMPRESSED DATA
Elsa Dupraz, Dominique Pastor, Francois-Xavier Socheleau, IMT Atlantique, France
MLSP-P9.5: SELF-PACED MIXTURE OF T DISTRIBUTION MODEL
Yang Zhang, Qingtao Tang, Tsinghua University, China; Li Niu, Rice University, United States; Tao Dai, Xi Xiao, Shu-Tao Xia, Tsinghua University, China
MLSP-P9.6: ON THE SUPERMODULARITY OF ACTIVE GRAPH-BASED SEMI-SUPERVISED LEARNING WITH STIELTJES MATRIX REGULARIZATION
Pin-Yu Chen, Dennis Wei, IBM T.J. Watson Research Center, United States
MLSP-P9.7: REG-GAN: SEMI-SUPERVISED LEARNING BASED ON GENERATIVE ADVERSARIAL NETWORKS FOR REGRESSION
Mehdi Rezagholizadeh, Md Akmal Haidar, Huawei Technologies Co., Ltd, Canada
MLSP-P9.10: RANDOM WALKS WITH RESTARTS FOR GRAPH-BASED CLASSIFICATION: TELEPORTATION TUNING AND SAMPLING DESIGN
Dimitris Berberidis, Athanasios N. Nikolakopoulos, Georgios B. Giannakis, University of Minnesota, United States
MLSP-P10.1: TV-SVM: SUPPORT VECTOR MACHINE WITH TOTAL VARIATIONAL REGULARIZATION
Zhendong Zhang, Cheolkon Jung, Xidian University, China
MLSP-P10.2: CONSTANT FALSE ALARM RATE FOR ONLINE ONE CLASS SVM LEARNING
Yongjian Xue, Pierre Beauseroy, Université de Technologie de Troyes, France
MLSP-P10.3: SEQUENTIAL MAXIMUM MARGIN CLASSIFIERS FOR PARTIALLY LABELED DATA
Elizabeth Hou, Alfred O. Hero, University of Michigan, United States
MLSP-P10.5: CLUSTERING OF DATA WITH MISSING ENTRIES
Sunrita Poddar, Mathews Jacob, University of Iowa, United States
MLSP-P10.7: A LEARNING ALGORITHM WITH COMPRESSION-BASED REGULARIZATION
Matias Vera, Facultad de Ingenieria-Universidad de Buenos Aires, Argentina; Leonardo Rey Vega, Facultad de Ingenieria-Universidad de Buenos Aires, CSC-Conicet, Argentina; Pablo Piantanida, CentraleSupelec-CNRS-Universite Paris-Sud, France
MLSP-P10.8: HOW ARE THE CENTERED KERNEL PRINCIPAL COMPONENTS RELEVANT TO REGRESSION TASK? --- AN EXACT ANALYSIS
Masahiro Yukawa, Keio University, Japan; Klaus-Robert Muller, Technical University of Berlin, Germany; Yuto Ogino, Keio University, Japan
MLSP-P10.9: NEAREST-INSTANCE-CENTROID-ESTIMATION LINEAR DISCRIMINANT ANALYSIS (NICE LDA)
Rishabh Singh, Kan Li, Jose Principe, University of Florida, United States
MLSP-P10.10: RANKING USING TRANSITION PROBABILITIES LEARNED FROM MULTI-ATTRIBUTE DATA
Sigurd Loekse, Robert Jenssen, UiT The Arctic University of Norway, Norway
MLSP-P11.1: SEQUENTIAL INFERENCE METHODS FOR NON-HOMOGENEOUS POISSON PROCESSES WITH STATE-SPACE PRIOR
Chenhao Li, Simon J. Godsill, University of Cambridge, United Kingdom
MLSP-P11.2: ON THE GEOMETRY OF MIXTURES OF PRESCRIBED DISTRIBUTIONS
Frank Nielsen, Ecole Polytechnique, LIX, France; Richard Nock, Data61, Australia
MLSP-P11.3: DIRECT ENSEMBLE ESTIMATION OF DENSITY FUNCTIONALS
Alan Wisler, University of Canterbury, New Zealand; Kevin Moon, Yale University, United States; Visar Berisha, Arizona State University, United States
MLSP-P11.4: A DYNAMIC LATENT VARIABLE MODEL FOR SOURCE SEPARATION
Anurendra Kumar, Tanaya Guha, Indian Institute of Technology Kanpur, India; Prasanta Kumar Ghosh, IISC Bangalore, India
MLSP-P11.5: QUATERNION ADAPTIVE LINE ENHANCER BASED ON SINGULAR SPECTRUM ANALYSIS
Saeid Sanei, Nottingham Trent University, United Kingdom; Clive Cheong Took, Shirin Enshaeifar, University of Surrey, United Kingdom
MLSP-P11.6: ADVERSARIAL MULTI-AGENT TARGET TRACKING WITH INEXACT ONLINE GRADIENT DESCENT
Amrit Singh Bedi, Paban Sarma, Ketan Rajawat, Indian Institute of Technology Kanpur, India
MLSP-P11.7: COHERENT AND NONCOHERENT DICTIONARIES FOR ACTION RECOGNITION
Shyju Wilson, Krishna Mohan, International Institute of Information Technology, Hyderabad, India
MLSP-P11.8: A CONSTANT STEP STOCHASTIC DOUGLAS-RACHFORD ALGORITHM WITH APPLICATION TO NON SEPARABLE REGULARIZATIONS
Adil Salim, Pascal Bianchi, Telecom ParisTech, France; Walid Hachem, Universite Paris-Est Marne-la-Vallee, France
MLSP-P11.9: MULTI-KERNEL, DEEP NEURAL NETWORK AND HYBRID MODELS FOR PRIVACY PRESERVING MACHINE LEARNING
Mert Al, Thee Chanyaswad, Sun-Yuan Kung, Princeton University, United States
MLSP-P11.10: EFFICIENT NON-CONVEX GRAPH CLUSTERING FOR BIG DATA
Naveed Naimipour, Mojtaba Soltanalian, University of Illinois at Chicago, United States
MLSP-P12.1: DNN-BASED AR-WIENER FILTERING FOR SPEECH ENHANCEMENT
Yan Yang, Changchun Bao, Beijing University of Technology, China
MLSP-P12.2: ADVANCED LSTM: A STUDY ABOUT BETTER TIME DEPENDENCY MODELING IN EMOTION RECOGNITION
Fei Tao, The University of Texas at Dallas, United States; Gang Liu, Alibaba Group (U.S.) Inc., United States
MLSP-P12.3: EXPLORING CTC-NETWORK DERIVED FEATURES WITH CONVENTIONAL HYBRID SYSTEM
Thai Son Nguyen, Sebastian Stüker, Alexander Waibel, Karlsruhe Institute of Technology, Germany
MLSP-P12.4: ROBUSTNESS OF DEEP CONVOLUTIONAL NEURAL NETWORKS FOR IMAGE DEGRADATIONS
Sanjukta Ghosh, Rohan Shet, Friedrich-Alexander-Universität Erlangen-Nürnberg / Siemens Corporate Technology, Germany; Peter Amon, Andreas Hutter, Siemens Corporate Technology, Germany; André Kaup, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
MLSP-P12.5: CONFNET: PREDICT WITH CONFIDENCE
Sheng Wan, National Chiao Tung University, Taiwan; Tung-Yu Wu, Wing-Hung Wong, Stanford University, United States; Chen-Yi Lee, National Chiao Tung University, Taiwan
MLSP-P12.6: CROSS-MODALITY DISTILLATION: A CASE FOR CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS
Siddharth Roheda, North Carolina State University, United States; Benjamin S. Riggan, U.S. Army Research Laboratory, United States; Hamid Krim, North Carolina State University, United States; Liyi Dai, U.S. Army Research Office, United States
MLSP-P12.7: A MULTI-CAMERA DEEP NEURAL NETWORK FOR DETECTING ELEVATED ALERTNESS IN DRIVERS
John Gideon, University of Michigan, United States; Simon Stent, Luke Fletcher, Toyota Research Institute, United States
MLSP-P12.8: A DEEP NEURAL NETWORK APPROACH FOR TIME-OF-ARRIVAL ESTIMATION IN MULTIPATH CHANNELS
Oded Bialer, Noa Garnett, Dan Levi, General Motors, Israel
MLSP-P13.2: AUTOENCODER INSPIRED UNSUPERVISED FEATURE SELECTION
Kai Han, Yunhe Wang, Chao Zhang, Chao Li, Chao Xu, Peking University, China
MLSP-P13.3: IMPROVING CONVOLUTIONAL NEURAL NETWORKS VIA COMPACTING FEATURES
Liguo Zhou, Rong Zhu, Yimin Luo, Siwen Liu, Zhongyuan Wang, Wuhan University, China
MLSP-P13.4: LOW RESOLUTION FACE RECOGNITION AND RECONSTRUCTION VIA DEEP CANONICAL CORRELATION ANALYSIS
Zhao Zhang, Yun-Hao Yuan, Yangzhou University, China; Xiao-Bo Shen, Nanyang Technological University, Singapore; Yun Li, Yangzhou University, China
MLSP-P13.6: RECALL NEURAL NETWORK FOR SOURCE SEPARATION
Jen-Tzung Chien, Kai-Wei Tsou, National Chiao Tung University, Taiwan
MLSP-P13.7: HUMAN MOTION CLASSIFICATION WITH MICRO-DOPPLER RADAR AND BAYESIAN-OPTIMIZED CONVOLUTIONAL NEURAL NETWORKS
Hoang Thanh Le, Son Lam Phung, Abdesselam Bouzerdoum, Fok Hing Chi Tivive, University of Wollongong, Australia
MLSP-P13.9: IMPROVING ACCURACY OF NONPARAMETRIC TRANSFER LEARNING VIA VECTOR SEGMENTATION
Vincent Gripon, Ghouthi Boukli Hacene, IMT Atlantique, France; Matthias Löwe, University of Münster, Germany; Franck Vermet, Université de Brest, France
MLSP-P13.10: IMPROVING THE CAPACITY OF VERY DEEP NETWORKS WITH MAXOUT UNITS
Oyebade Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Bjorn Ottersten, University of Luxembourg, Luxembourg
MLSP-P14.1: DISTRIBUTED LARGE NEURAL NETWORK WITH CENTRALIZED EQUIVALENCE
Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee, KTH Royal Institute of Technology, Sweden
MLSP-P14.2: NEURAL ADAPTIVE IMAGE DENOISER
Sungmin Cha, Taesup Moon, Sungkyunkwan University, Korea (South)
MLSP-P14.3: TRAINING PROBABILISTIC SPIKING NEURAL NETWORKS WITH FIRST-TO-SPIKE DECODING
Alireza Bagheri, New Jersey Institute of Technology, United States; Osvaldo Simeone, King's College London, United Kingdom; Bipin Rajendran, New Jersey Institute of Technology, United States
MLSP-P14.4: GENERATIVE SCATTERNET HYBRID DEEP LEARNING (G-SHDL) NETWORK WITH STRUCTURAL PRIORS FOR SEMANTIC IMAGE SEGMENTATION
Amarjot Singh, Nick Kingsbury, University of Cambridge, United Kingdom
MLSP-P14.5: INVESTIGATING LABEL NOISE SENSITIVITY OF CONVOLUTIONAL NEURAL NETWORKS FOR FINE GRAINED AUDIO SIGNAL LABELLING
Rainer Kelz, Gerhard Widmer, Johannes Kepler University Linz, Austria
MLSP-P14.6: A FULLY CONVOLUTIONAL TRI-BRANCH NETWORK (FCTN) FOR DOMAIN ADAPTATION
Junting Zhang, Chen Liang, C.-C. Jay Kuo, University of Southern California, United States
MLSP-P14.7: LEARNING DEEP REPRESENTATIONS USING CONVOLUTIONAL AUTO-ENCODERS WITH SYMMETRIC SKIP CONNECTIONS
Jian-Feng Dong, Yuan-Zhu Gan, Xiao-Jiao Mao, Yu-Bin Yang, Nanjing University, China; Chunhua Shen, The University of Adelaide, Australia
MLSP-P14.8: CONSTRAINED CONVOLUTIONAL-RECURRENT NETWORKS TO IMPROVE SPEECH QUALITY WITH LOW IMPACT ON RECOGNITION ACCURACY
Rasool Fakoor, University of Texas at Arlington, United States; Xiaodong He, Ivan Tashev, Shuayb Zarar, Microsoft Research, United States
MLSP-P14.9: IMAGE AUGMENTATION USING RADIAL TRANSFORM FOR TRAINING DEEP NEURAL NETWORKS
Hojjat Salehinejad, Shahrokh Valaee, University of Toronto, Canada; Tim Dowdell, Joseph Barfett, St. Michael's Hospital, University of Toronto, Canada
MLSP-P14.10: IMAGE RECOGNITION BASED ON SEPARABLE LATTICE HMMS USING A DEEP NEURAL NETWORK FOR OUTPUT PROBABILITY DISTRIBUTIONS
Eiji Ichikawa, Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda, Nagoya Institute of Technology, Japan
MMSP-L1.1: ROBUST AUDIOVISUAL LIVENESS DETECTION FOR BIOMETRIC AUTHENTICATION USING DEEP JOINT EMBEDDING AND DYNAMIC TIME WARPING
Amit Aides, IBM Research AI, Israel; David Dov, Technion Israel Institute of Technology, Israel; Hagai Aronowitz, IBM Research AI, Israel
MMSP-L1.2: AUDIO-VISUAL PERSON RECOGNITION IN MULTIMEDIA DATA FROM THE IARPA JANUS PROGRAM
Gregory Sell, Kevin Duh, David Snyder, Dave Etter, Daniel Garcia-Romero, The Johns Hopkins University, United States
MMSP-L1.3: WATCH, LISTEN ONCE, AND SYNC: AUDIO-VISUAL SYNCHRONIZATION WITH MULTI-MODAL REGRESSION CNN
Toshiki Kikuchi, Yuko Ozasa, Keio University, Japan
MMSP-L1.4: INVESTIGATIONS ON END-TO-END AUDIOVISUAL FUSION
Michael Wand, Scuola Universitaria Professionale della Svizzera Italiana, Switzerland; Ngoc Thang Vu, University of Stuttgart, Germany; Juergen Schmidhuber, Scuola Universitaria Professionale della Svizzera Italiana, Switzerland
MMSP-L1.5: JOINT AUDIO-VIDEO DRIVEN FACIAL ANIMATION
Xin Chen, Chen Cao, Zehao Xue, Wei Chu, Snap Inc., United States
MMSP-L1.6: SEEING THROUGH NOISE: VISUALLY DRIVEN SPEAKER SEPARATION AND ENHANCEMENT
Aviv Gabbay, Ariel Ephrat, Tavi Halperin, Shmuel Peleg, The Hebrew University of Jerusalem, Israel
MMSP-P1.1: UNDERSTANDING THE AESTHETIC STYLES OF SOCIAL IMAGES
Yihui Ma, Jia Jia, Yufan Hou, Yaohua Bu, Wentao Han, Tsinghua University, China
MMSP-P1.2: AUTOMATIC TEMPORAL SEGMENTATION OF HAND MOVEMENTS FOR HAND POSITIONS RECOGNITION IN FRENCH CUED SPEECH
Li Liu, Gang Feng, Denis Beautemps, GIPSA-Lab, France
MMSP-P1.3: EEG-BASED VIDEO IDENTIFICATION USING GRAPH SIGNAL MODELING AND GRAPH CONVOLUTIONAL NEURAL NETWORK
Soobeom Jang, Seong-Eun Moon, Jong-Seok Lee, Yonsei University, Korea (South)
MMSP-P1.4: 3D MOUTH TRACKING FROM A COMPACT MICROPHONE ARRAY CO-LOCATED WITH A CAMERA
Xinyuan Qian, Alessio Xompero, Queen Mary University of London, United Kingdom; Alessio Brutti, Oswald Lanz, Maurizio Omologo, Fondazione Bruno Kessler, Italy; Andrea Cavallaro, Queen Mary University of London, United Kingdom
MMSP-P1.5: A JOINT TARGET LOCALIZATION AND CLASSIFICATION FRAMEWORK FOR SENSOR NETWORKS
Kyunghun Lee, University of Maryland, United States; Benjamin S. Riggan, U.S. Army Research Laboratory, United States; Shuvra Bhattacharyya, University of Maryland, United States
MMSP-P1.6: A NOVEL SEMANTIC ATTRIBUTE-BASED FEATURE FOR IMAGE CAPTION GENERATION
Wei Wang, Yuxuan Ding, Chunna Tian, Xidian University, China
MMSP-P1.7: SFEMCCA: SUPERVISED FRACTIONAL-ORDER EMBEDDING MULTIVIEW CANONICAL CORRELATION ANALYSIS FOR VIDEO PREFERENCE ESTIMATION
Yoshiki Ito, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan
MMSP-P1.8: A NOVEL METHOD FOR HUMAN BIAS CORRECTION OF CONTINUOUS-TIME ANNOTATIONS
Brandon M. Booth, Karel Mundnich, Shrikanth Narayanan, University of Southern California, United States
MMSP-P1.9: UNSUPERVISED MULTIVIEW NONNEGATIVE CORRELATED FEATURE LEARNING FOR DATA CLUSTERING
Liang Zhao, Zhikui Chen, Dalian University of Technology, China; Z. Jane Wang, University of British Columbia, Canada
MMSP-P2.1: FRAMEWORK FOR EVALUATION OF SOUND EVENT DETECTION IN WEB VIDEOS
Rohan Badlani, BITS Pilani, India; Ankit Shah, Benjamin Elizalde, Anurag Kumar, Bhiksha Raj, Carnegie Mellon University, United States
MMSP-P2.2: CORRELATION-BASED FACE DETECTION FOR RECOGNIZING FACES IN VIDEOS
Heng-Wei Hsu, National Chiao Tung University, Taiwan; Tung-Yu Wu, Wing-Hung Wong, Stanford University, United States; Chen-Yi Lee, National Chiao Tung University, Taiwan
MMSP-P2.3: IMPROVED AUDIO-VISUAL LAUGHTER DETECTION VIA MULTI-SCALE MULTI-RESOLUTION IMAGE TEXTURE FEATURES AND CLASSIFIER FUSION
Zahid Akhtar, Stefany Bedoya, Tiago H. Falk, INRS-EMT, University of Quebec, Canada
MMSP-P2.4: DISCOVERING CORRESPONDENCE AMONG IMAGE SETS WITH PROJECTION VIEW PRESERVATION FOR 3D OBJECT DETECTION IN POINT CLOUDS
Tomoaki Yamazaki, Daisuke Sugimura, Takayuki Hamamoto, Tokyo University of Science, Japan
MMSP-P2.5: A DEEP REINFORCEMENT LEARNING FRAMEWORK FOR IDENTIFYING FUNNY SCENES IN MOVIES
Haoqi Li, University of Southern California, United States; Naveen Kumar, Ruxin Chen, SONY Interactive Entertainment LLC, United States; Panayiotis Georgiou, University of Southern California, United States
MMSP-P2.6: AN END-TO-END SIAMESE CONVOLUTIONAL NEURAL NETWORK FOR LOOP CLOSURE DETECTION IN VISUAL SLAM SYSTEM
Hong Liu, Chenyang Zhao, Weipeng Huang, Wei Shi, Peking University, China
MMSP-P2.7: BAYESIAN GENERATIVE MODEL BASED ON COLOR HISTOGRAM OF ORIENTED PHASE AND HISTOGRAM OF ORIENTED OPTICAL FLOW FOR RARE EVENT DETECTION IN CROWDED SCENES
Dieudonne Fabrice Atrevi, University Of Orleans, France; Damien Vivet, University Of Toulouse, France; Bruno Emile, University Of Orleans, France
MMSP-P3.1: HIERARCHICAL SEGMENTATION BASED POINT CLOUD ATTRIBUTE COMPRESSION
Ke Zhang, Wenjie Zhu, Yiling Xu, Shanghai Jiao Tong University, China
MMSP-P3.2: CONTENT-BASED REPRESENTATIONS OF AUDIO USING SIAMESE NEURAL NETWORKS
Pranay Manocha, Indian Institute of Technology Guwahati, India; Rohan Badlani, BITS Pilani, India; Anurag Kumar, Ankit Shah, Benjamin Elizalde, Bhiksha Raj, Carnegie Mellon University, United States
MMSP-P3.3: NORMALIZATION OF PARTLY OVERLAPPING AUDIO RECORDINGS FROM THE SAME EVENT BASED ON RELATIVE SIGNAL POWERS
Nikolaos Stefanakis, Foundation for Research and Technology-Hellas, Greece; Athanasios Mouchtaris, FORTH-ICS, Greece
MMSP-P3.4: FOREGROUND HARMONIC NOISE REDUCTION FOR ROBUST AUDIO FINGERPRINTING
Matthew McCallum, Gracenote Inc., United States
MMSP-P3.5: A CASCADED FRAMEWORK FOR MODEL-BASED 3D FACE RECONSTRUCTION
Pengrui Wang, Wujun Che, Bo Xu, Institute of Automation, Chinese Academy of Sciences, China
MMSP-P3.6: EDGE-AWARE CONTEXT ENCODER FOR IMAGE INPAINTING
Liang Liao, Ruimin Hu, Jing Xiao, Zhongyuan Wang, Wuhan University, China
MMSP-P3.7: BLIND IMAGE QUALITY ASSESSMENT BASED ON VISUO-SPATIAL SERIES STATISTICS
Ziheng Zhou, Wen Lu, Xidian University, China; Jiachen Yang, Tianjin university, China; Lihuo He, Xinbo Gao, Xidian University, China
MMSP-P3.8: IMPROVING CONSENSUS-BASED DISTRIBUTED CAMERA CALIBRATION VIA EDGE PRUNING AND GRAPH TRAVERSAL INITIALIZATION
Giulia Michieletto, Simone Milani, Angelo Cenedese, Giacomo Baggio, University of Padova, Italy
MMSP-P3.9: MULTIMODAL SIGNAL PROCESSING AND LEARNING ASPECTS OF HUMAN-ROBOT INTERACTION FOR AN ASSISTIVE BATHING ROBOT
Athanasia Zlatintsi, Isidoros Rodomagoulakis, Petros Koutras, Athanasios Dometios, Vassilis Pitsikalis, Costas Tzafestas, Petros Maragos, National Technical University of Athens, Greece
MMSP-P3.10: ENHANCING SSVEP IDENTIFICATION TOWARDS PORTABLE BCI USING DISCRIMINATIVE FUSION AND DIMENSIONALITY REDUCTION
Muhamed Farooq, Omid Dehzangi, University of Michigan-Dearborn, United States
SAM-L1.1: NON-ASYMPTOTIC GUARANTEES FOR CORRELATION-AWARE SUPPORT DETECTION
Ali Koochakzadeh, Piya Pal, University of California, San Diego, United States
SAM-L1.2: REVISITING THE KRONECKER ARRAY TRANSFORM
Bruno Masiero, University of Campinas, Brazil; Vítor Nascimento, University of São Paulo, Brazil
SAM-L1.3: GENERALIZED TENSOR CONTRACTIONS FOR AN IMPROVED RECEIVER DESIGN IN MIMO-OFDM SYSTEMS
Kristina Naskovska, Martin Haardt, Technische Universität Ilmenau, Germany; Andre L. F. de Almeida, Federal University of Ceara (UFC), Brazil
SAM-L1.4: HYPERSPECTRAL SUPER-RESOLUTION VIA COUPLED TENSOR FACTORIZATION: IDENTIFIABILITY AND ALGORITHMS
Charilaos I. Kanatsoulis, University of Minnesota, United States; Xiao Fu, Oregon State University, United States; Nicholas D. Sidiropoulos, University of Virginia, United States; Wing-Kin Ma, The Chinese University of Hong Kong, China
SAM-L1.5: FIRST-ORDER PERTURBATION ANALYSIS OF SECSI WITH GENERALIZED UNFOLDINGS
Yao Cheng, Sher Ali Cheema, Martin Haardt, Technische Universität Ilmenau, Germany; Amir Weiss, Arie Yeredor, Tel-Aviv University, Israel
SAM-L1.6: SUPPLEMENTATIONS TO THE HIGHER ORDER SUBSPACE ALGORITHM FOR SUPPRESSION OF SPATIALLY COLORED NOISE
Renjie Tong, Zhongfu Ye, University of Science and Technology of China, China
SAM-L2.1: A UNIFIED ESTIMATOR FOR SOURCE POSITIONING AND DOA ESTIMATION USING AOA
Yue Wang, Dominic K. C. Ho, University of Missouri, United States; Gang Wang, Ningbo Universtiy, China
SAM-L2.2: SCHEDULING OF MULTISTATIC SONOBUOY FIELDS USING MULTI-OBJECTIVE OPTIMIZATION
Christopher Gilliam, RMIT University, Australia; Daniel Angley, Sofia Suvorova, The University of Melbourne, Australia; Branko Ristic, RMIT University, Australia; Bill Moran, The University of Melbourne, Australia; Fiona Fletcher, Han Gaetjens, Sergey Simakov, Defence Science Technology Group, Australia
SAM-L2.3: JOINTLY TRACKING AND SEPARATING SPEECH SOURCES USING MULTIPLE FEATURES AND THE GENERALIZED LABELED MULTI-BERNOULLI FRAMEWORK
Shoufeng Lin, Curtin University, Australia
SAM-L2.4: GLRT PARTICLE FILTER FOR TRACKING NLOS TARGET IN AROUND-THE-CORNER RADAR
Khac-Phuc-Hung Thai, Olivier Rabaste, Jonathan Bosse, ONERA, The French Aerospace Lab, France; Thierry Chonavel, IMT Atlantique, France
SAM-L2.5: IMPACT OF MICROPHONE ARRAY CONFIGURATIONS ON ROBUST INDIRECT 3D ACOUSTIC SOURCE LOCALIZATION
Elizabeth Vargas, Keith Brown, Heriot-Watt University, United Kingdom; Kartic Subr, University of Edinburgh, United Kingdom
SAM-L2.6: COMPUTATIONALLY EFFICIENT IV-BASED BIAS REDUCTION FOR CLOSED-FORM TDOA LOCALIZATION
Ngoc Hung Nguyen, Kutluyil Dogancay, University of South Australia, Australia
SAM-L3.1: ROBUSTNESS OF COARRAYS OF SPARSE ARRAYS TO SENSOR FAILURES
Chun-Lin Liu, P. P. Vaidyanathan, California Institute of Technology, United States
SAM-L3.2: NONCIRCULARITY-BASED LOCALIZATION FOR MIXED NEAR-FIELD AND FAR-FIELD SOURCES WITH UNKNOWN MUTUAL COUPLING
Hua Chen, Ningbo University, China; Wei Liu, University of Sheffield, United Kingdom; Wei-Ping Zhu, M.N.S. Swamy, Concordia University, Canada
SAM-L3.3: ON MAXIMUM LIKELIHOOD ANGLE OF ARRIVAL ESTIMATION USING ORTHOGONAL PROJECTIONS
Ahmad Bazzi, EURECOM/RivieraWaves, France; Dirk Slock, EURECOM, France; Lisa Meilhac, RivieraWaves, France
SAM-L3.4: AN IMPROVED DOA ESTIMATOR BASED ON PARTIAL RELAXATION APPROACH
Minh Trinh Hoang, Technische Universität Darmstadt, Germany; Mats Viberg, Chalmers University of Technology, Sweden; Marius Pesavento, Technische Universität Darmstadt, Germany
SAM-L3.5: GRID-FREE DIRECTION-OF-ARRIVAL ESTIMATION WITH COMPRESSED SENSING AND ARBITRARY ANTENNA ARRAYS
Sebastian Semper, Florian Roemer, Thomas Hotz, Giovanni Del Galdo, Technische Universität Ilmenau, Germany
SAM-L3.6: GRIDLESS TWO-DIMENSIONAL DOA ESTIMATION WITH L-SHAPED ARRAY BASED ON THE CROSS-COVARIANCE MATRIX
Xiaohuan Wu, Nanjing University of Posts & Telecommunications, China; Wei-Ping Zhu, Concordia University, Canada; Jun Yan, Nanjing University of Posts & Telecommunications, China
SAM-L4.1: CHANNEL DEPENDENT MUTUAL INFORMATION IN INDEX MODULATIONS
Pol Henarejos, Ana Perez-Neira, Centre Tecnologic de Telecomunicacions de Catalunya, Spain; Anxo Tato, Carlos Mosquera, University of Vigo, Spain
SAM-L4.2: PILOT DESIGN FOR GAUSSIAN MIXTURE CHANNEL ESTIMATION IN MASSIVE MIMO
Yujie Gu, Yimin Zhang, Temple University, United States
SAM-L4.3: MMSE ADAPTIVE WAVEFORM DESIGN FOR A MIMO ACTIVE SENSING SYSTEM TRACKING MULTIPLE MOVING TARGETS
Steven Herbert, James Hopgood, Bernard Mulgrew, University of Edinburgh, United Kingdom
SAM-L4.4: JOINT SPACE-(SLOW) TIME TRANSMISSION WITH UNIMODULAR WAVEFORMS AND RECEIVE ADAPTIVE FILTER DESIGN FOR RADAR
Yongzhe Li, Sergiy A. Vorobyov, Aalto University, Finland
SAM-L4.5: MIMO TRANSMIT BEAMPATTERN MATCHING UNDER WAVEFORM CONSTRAINTS
Ziping Zhao, Daniel P. Palomar, The Hong Kong University of Science and Technology, China
SAM-L4.6: PECTRALLY COMPATIBLE WAVEFORM DESIGN FOR MIMO RADAR TRANSMIT BEAMPATTERN WITH PAR AND SIMILARITY CONSTRAINTS
Ziyang Cheng, Zishu He, Fang Min, Jun Li, Julan Xie, UESTC, China
SAM-P1.1: ANGLE DEPENDENT MATCH FILTER DESIGN FOR CIRCULATING CODE
Shengyuan Li, Linrang Zhang, Nan Liu, Shiyang Tang, Xidian University, China
SAM-P1.2: TOEPLITZ MATRIX-BASED TRANSMIT COVARIANCE MATRIX OF COLOCATED MIMO RADAR WAVEFORMS FOR SINR MAXIMIZATION
Wei Xiong, Nanjing University of Aeronautics and Astronautics, China; Maria Greco, Fulvio Gini, University of Pisa, Italy; Gong Zhang, Zhenni Peng, Nanjing University of Aeronautics and Astronautics, China
SAM-P1.3: MIMO RADAR TARGET DETECTION USING LOW-COMPLEXITY RECEIVER
Yang Li, Qian He, University of Electronic Science and Technology of China, China; Rick Blum, Lehigh University, United States
SAM-P1.4: CONSTANT MODULUS PROBING WAVEFORM DESIGN FOR MIMO RADAR VIA ADMM ALGORITHM
Yongchao Wang, Jiangtao Wang, Xidian University, China
SAM-P1.5: SPARSITY-BASED SPACE-TIME ADAPTIVE PROCESSING FOR AIRBORNE RADAR WITH COPRIME ARRAY AND COPRIME PULSE REPETITION INTERVAL
Xiaoye Wang, Zhaocheng Yang, Jianjun Huang, Shenzhen University, China
SAM-P1.6: VIRTUAL PULSE DESIGN FOR IEEE 802.11AD-BASED JOINT COMMUNICATION-RADAR
Preeti Kumari, The University of Texas at Austin, United States; Sergiy A. Vorobyov, Aalto University, Espoo, Finland; Robert W. Heath, Jr., The University of Texas at Austin, United States
SAM-P1.7: OPPORTUNISTIC SYNCHRONISATION OF MULTI-STATIC STARING ARRAY RADARS VIA TRACK-BEFORE-DETECT
Kimin Kim, Murat Uney, Bernard Mulgrew, The University of Edinburgh, United Kingdom
SAM-P1.8: SPATIAL ARRAY THINNING FOR INTERFERENCE CANCELLATION UNDER CONNECTIVITY CONSTRAINTS
Hamed Nosrati, Elias Aboutanios, University of New South Wales, Australia; David Smith, Data61, The Commonwealth Scientific and Industrial Research Organisation, Australia
SAM-P1.9: OPTIMUM SPARSE ARRAY DESIGN FOR MAXIMIZING SIGNAL-TO-NOISE RATIO IN PRESENCE OF LOCAL SCATTERINGS
Syed Ali Hamza, Moeness Amin, Villanova University, United States; Giuseppe Fabrizio, Defence Science and Technology Group, Australia
SAM-P1.10: A NOVEL JOINT RADAR AND COMMUNICATION SYSTEM BASED ON RANDOMIZED PARTITION OF ANTENNA ARRAY
Dingyou Ma, Tianyao Huang, Yimin Liu, Xiqin Wang, Tsinghua University, China
SAM-P2.1: OPTIMIZED SPARSE ARRAY DESIGN BASED ON THE SUM COARRAY
Regev Cohen, Yonina Eldar, Technion - Israel Institute of Technology, Israel
SAM-P2.2: EVALUATION OF THE PENALIZED INEQUALITY CONSTRAINED MINIMUM VARIANCE BEAMFORMER FOR HEARING AIDS
Jinjun Xiao, Starkey Hearing Technologies, United States; Wenqiang Pu, Xidian University, China; Zhi-Quan Luo, The Chinese University of Hong Kong, China; Tao Zhang, Starkey Hearing Technologies, United States
SAM-P2.3: ROBUST WIDELY LINEAR BEAMFORMING VIA THE TECHNIQUE OF SHRINKAGE FOR STEERING VECTOR ESTIMATION
Jiangbo Liu, Wei Xie, Changsheng Wang, Qun Wan, University of Electronic Science and Technology of China, China
SAM-P2.4: RESOURCE EFFICIENT DEEP EIGENVECTOR BEAMFORMING
Matthias Zöhrer, Lukas Pfeifenberger, Graz University of Technology, Austria; Günther Schindler, Holger Fröning, University of Heidelberg, Germany; Franz Pernkopf, Graz University of Technology, Austria
SAM-P2.5: A DEEP LEARNING BASED ALTERNATIVE TO BEAMFORMING ULTRASOUND IMAGES
Arun Asokan Nair, Trac Duy Tran, Austin Reiter, Muyinatu A. Lediju Bell, Johns Hopkins University, United States
SAM-P2.6: OPTIMUM SPARSE ARRAY DESIGN FOR MULTIPLE BEAMFORMERS WITH COMMON RECEIVER
Xiangrong Wang, Beihang University, China; Moeness Amin, Villanova University, United States; Xianghua Wang, Shandong University of Science and Technology, China
SAM-P2.7: OPTIMUM CONFIGURATIONS OF SPARSE SUBARRAY BEAMFORMERS
Anastasios Deligiannis, Loughborough University, United Kingdom; Moeness Amin, Villanova University, United States; Giuseppe Fabrizio, Defence Science and Technology Group, Australia; Sangarapillai Lambotharan, Loughborough University, United Kingdom
SAM-P2.8: COHERENT TIME REVERSAL SUB-ARRAY PROCESSING FOR MICROWAVE BREAST IMAGING
Foroohar Foroozan, Analog Devices Inc., Canada; Nazanin HosseinKhah, Raviraj Adve, University of Toronto, Canada
SAM-P2.9: EFFICIENT CONSTRAINED TENSOR FACTORIZATION BY ALTERNATING OPTIMIZATION WITH PRIMAL-DUAL SPLITTING
Shunsuke Ono, Tokyo Institute of Technology, Japan; Takuma Kasai, RIKEN, Japan
SAM-P2.10: BEAMFORMING DESIGN FOR FULL-DUPLEX CELLULAR AND MIMO RADAR COEXISTENCE: A RATE MAXIMIZATION APPROACH
Sudip Biswas, Keshav Singh, University of Edinburgh, United Kingdom; Omid Taghizadeh, RWTH Aachen University, Germany; Tharm Ratnarajah, University of Edinburgh, United Kingdom; Mathini Sellathurai, Heriot-Watt University, United Kingdom
SAM-P3.1: PULSE-STREAM MODELS IN TIME-OF-FLIGHT IMAGING
Adrien Besson, Dimitris Perdios, Ecole Polytechnique Fédérale de Lausanne, Switzerland; Yves Wiaux, Heriot-Watt University, United Kingdom; Jean-Philippe Thiran, Ecole Polytechnique Fédérale de Lausanne, Switzerland
SAM-P3.2: TERAHERTZ IMAGING OF BINARY REFLECTANCE WITH VARIATIONAL BAYESIAN INFERENCE
Haoyu Fu, The Ohio State University, United States; Pu Wang, Toshiaki Koike-Akino, Philip Orlik, Mitsubishi Electric Research Laboratories, United States; Yuejie Chi, The Ohio State University, United States
SAM-P3.3: A BAYESIAN MODEL FOR JOINT UNMIXING AND ROBUST CLASSIFICATION OF HYPERSPECTRAL IMAGES
Adrien Lagrange, Mathieu Fauvel, University of Toulouse, France; Stephane May, Centre National d'Etudes Spatiales, France; Nicolas Dobigeon, University of Toulouse, France
SAM-P3.4: ENDMEMBERS AS DIRECTIONAL DATA FOR ROBUST MATERIAL VARIABILITY RETRIEVAL IN HYPERSPECTRAL IMAGE UNMIXING
Lucas Drumetz, IMT Atlantique, France; Jocelyn Chanussot, Grenoble Institute of Technology, France; Akira Iwasaki, The University of Tokyo, Japan
SAM-P3.5: AN EVENT-TRIGGERED AVERAGE CONSENSUS ALGORITHM WITH PERFORMANCE GUARANTEES FOR DISTRIBUTED SENSOR NETWORKS
Amir Amini, Amir Asif, Arash Mohammadi, Concordia University, Canada
SAM-P3.6: A HYBRID DICTIONARY APPROACH FOR DISTRIBUTED KERNEL ADAPTIVE FILTERING IN DIFFUSION NETWORKS
Ban-Sok Shin, University of Bremen, Germany; Masahiro Yukawa, Keio University, Japan; Renato L. G. Cavalcante, Fraunhofer Heinrich Hertz Institute, Germany; Armin Dekorsy, University of Bremen, Germany
SAM-P3.7: OPTIMIZED TRANSMISSION FOR CONSENSUS IN WIRELESS SENSOR NETWORKS
Shahin Khobahi, Mojtaba Soltanalian, University of Illinois at Chicago, United States
SAM-P3.8: A CAPITALIST SCHEME FOR ENERGY MANAGEMENT IN INFERENTIAL SENSOR NETWORKS
Stefano Marano, University of Salerno, Italy; Peter Willett, university of connecticut, United States
SAM-P4.2: A ROBUST CHANGE DETECTOR FOR HIGHLY HETEROGENEOUS MULTIVARIATE IMAGES
Ammar Mian, Jean-Philippe Ovarlez, CentraleSupelec SONDRA, France; Guillaume Ginolhac, Abdourahmane Atto, L’université Savoie-Mont-Blanc, France
SAM-P4.3: SOURCE AND DIRECTION OF ARRIVAL ESTIMATION BASED ON MAXIMUM LIKELIHOOD COMBINED WITH GMM AND EIGENANALYSIS
Ryouichi Nishimura, National Institute of Information and Communications Technology, Japan; Yoiti Suzuki, Tohoku University, Japan
SAM-P4.4: RADIO TRANSIENT DETECTION IN RADIO ASTRONOMICAL ARRAYS
Avishay Antman, Amir Leshem, Bar-Ilan University, Israel
SAM-P4.5: CRAMER-RAO BOUND FOR LINE CONSTRAINED TRAJECTORY TRACKING
Amr Elnakeeb, Urbashi Mitra, University of Southern California, United States
SAM-P4.6: DETECTION OF CYCLOSTATIONARITY USING GENERALIZED COHERENCE
Songsri Sirianunpiboon, Stephen D. Howard, Defence Science and Technology Group, Australia; Douglas Cochran, Arizona State University, United States
SAM-P4.7: ON THE MODULUS OF CONTINUITY FOR NOISY POSITIVE SUPER-RESOLUTION
Heng Qiao, Piya Pal, University of California, San Diego, United States
SAM-P5.2: DOA ESTIMATION IN HETEROSCEDASTIC NOISE WITH SPARSE BAYESIAN LEARNING
Peter Gerstoft, Santosh Nannuru, University of California, San Diego, United States; Christoph Mecklenbrauker, Vienna University of Technology, Austria; Geert Leus, Delft University of Technology, Austria
SAM-P5.3: ALTITUDE MEASUREMENT OF LOW-ANGLE TARGET UNDER COMPLEX TERRAIN ENVIRONMENT FOR METER-WAVE RADAR
Yuan Liu, Hongwei Liu, Bo Jiu, Lei Zhang, Xidian University, China
SAM-P5.4: SPARSE RECOVERY ASSISTED DOA ESTIMATION UTILIZING SPARSE BAYESIAN LEARNING
Min Huang, Lei Huang, Shenzhen University, China
SAM-P5.5: MMSE-BASED AUTOCORRELATION SAMPLING FOR COMPRIME ARRAYS
Dimitris Chachlakis, Panos Markopoulos, Rochester Institute of Technology, United States; Fauzia Ahmad, Temple University, United States
SAM-P5.6: COARRAY INTERPOLATION-BASED COPRIME ARRAY DOA ESTIMATION VIA COVARIANCE MATRIX RECONSTRUCTION
Chengwei Zhou, Zhejiang University, China; Yujie Gu, Yimin Zhang, Temple University, United States; Zhiguo Shi, Zhejiang University, China
SAM-P5.7: GENERALIZED LEAST SQUARES FOR ESPRIT-TYPE DIRECTION OF ARRIVAL ESTIMATION
Jens Steinwandt, Florian Roemer, Martin Haardt, Technische Universität Ilmenau, Germany
SAM-P5.8: COMBINING RANGE AND DIRECTION FOR IMPROVED LOCALIZATION
Gilles Baechler, Frederike Dümbgen, Golnoosh Elhami, Miranda Kreković, Robin Scheibler, Adam Scholefield, Martin Vetterli, Ecole Polytechnique Fédérale de Lausanne, Switzerland
SAM-P5.9: DISTRIBUTED MODEL CONSTRUCTION IN RADIO INTERFEROMETRIC CALIBRATION
Sarod Yatawatta, ASTRON,The Netherlands Institute for Radio Astronomy, Netherlands
SAM-P5.10: ROBUST CALIBRATION OF RADIO INTERFEROMETERS IN MULTI-FREQUENCY SCENARIO
Virginie Ollier, Ecole Normale Superieure Paris-Saclay, France; Mohammed Nabil El Korso, Universite Paris-Nanterre, France; Andre Ferrari, Universite Nice Sophia-Antipolis, France; Remy Boyer, Pascal Larzabal, Universite Paris-Sud, France
SAM-P6.1: A DEEP NEURAL NETWORK BASED METHOD OF SOURCE LOCALIZATION IN A SHALLOW WATER ENVIRONMENT
Zhaoqiong Huang, Ji Xu, Zaixiao Gong, Haibin Wang, Yonghong Yan, Institute of Acoustics, Chinese Academy of Sciences, China
SAM-P6.2: COOPERATIVE TRACKING USING MARGINAL DIFFUSION PARTICLE FILTERS
Marcelo G. S. Bruno, Instituto Tecnologico de Aeronautica, Brazil; Stiven S. Dias, Embraer S.A., Brazil
SAM-P6.3: GEOLOCATION OF UNKNOWN EMITTERS USING TDOA OF PATH RAYS THROUGH THE IONOSPHERE BY MULTIPLE COORDINATED DISTANT RECEIVERS
Ting Wang, Xueli Hong, Xidian University, China; Wen Liu, China Research Institute of Radiowave Propagation, China; Anthony Man-Cho So, The Chinese University of Hong Kong, China; Kehu Yang, Xidian University, China
SAM-P6.4: UNSUPERVISED ADAPTATION OF NEURAL NETWORKS FOR DISCRIMINATIVE SOUND SOURCE LOCALIZATION WITH ELIMINATIVE CONSTRAINT
Ryu Takeda, Osaka University, Japan; Yoshiki Kudo, Kazuki Takashima, Yoshifumi Kitamura, Tohoku University, Japan; Kazunori Komatani, Osaka University, Japan
SAM-P6.5: AN EFFICIENT TARGET LOCALIZATION ESTIMATOR FROM BISTATIC RANGE AND TDOA MEASUREMENTS IN MULTISTATIC RADAR
Zhaotao Qin, Jun Wang, Yuxi Zhang, Beihang University, China
SAM-P6.6: SEMIDEFINITE PROGRAMMING FOR TDOA LOCALIZATION WITH LOCALLY SYNCHRONIZED ANCHOR NODES
Yanbin Zou, University of Electronic Science and Technology of China/ Oregon State University, United States; Qun Wan, University of Electronic Science and Technology of China, China; Huaping Liu, Oregon State University, United States
SAM-P6.7: IMPROVED WEIGHTED INSTRUMENTAL VARIABLE ESTIMATOR FOR DOPPLER-BEARING SOURCE LOCALIZATION IN HEAVY NOISE
Ngoc Hung Nguyen, Kutluyil Dogancay, University of South Australia, Australia
SAM-P6.8: HIGH ACCURACY ACOUSTIC ESTIMATION OF MULTIPLE TARGETS
Mohammed H. AlSharif, Mohamed Saad, Mohamed Siala, Hatem Boujemaa, Tarig Ballal, Tareq Y. Al-Naffouri, King Abdullah University of Science and Technology, Saudi Arabia
SAM-P6.9: STRUCTURE FROM SOUND WITH INCOMPLETE DATA
Miranda Kreković, Gilles Baechler, Ecole Polytechnique Fédérale de Lausanne, Switzerland; Ivan Dokmanic, University of Illinois at Urbana-Champaign, United States; Martin Vetterli, Ecole Polytechnique Fédérale de Lausanne, Switzerland
SAM-P6.10: BLIND CALIBRATION FOR ACOUSTIC VECTOR SENSOR ARRAYS
Krishnaprasad Nambur Ramamohan, Sundeep Prabhakar Chepuri, Delft University of Technology, Netherlands; Daniel Fernandez Comesana, Graciano Carrillo Pousa, Microflown Technologies, Netherlands; Geert Leus, Delft University of Technology, Netherlands
SPCOM-L1.1: LOCALIZATION-FREE POWER CARTOGRAPHY
Yves Teganya, Luis M. Lopez-Ramos, Daniel Romero, Baltasar Beferull-Lozano, University of Agder, Norway
SPCOM-L1.2: ADAPTIVE BAYESIAN CHANNEL GAIN CARTOGRAPHY
Donghoon Lee, Dimitris Berberidis, Georgios B. Giannakis, University of Minnesota, United States
SPCOM-L1.3: LEARNING STATISTICALLY ACCURATE RESOURCE ALLOCATIONS IN NON-STATIONARY WIRELESS SYSTEMS
Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro, University of Pennsylvania, United States
SPCOM-L1.4: DECENTRALIZED LOAD BALANCING IN MOBILE COMMUNICATION NETWORKS
Florian Bahlke, Marius Pesavento, University of Science Darmstadt, Germany
SPCOM-L1.5: DISTRIBUTED ESTIMATION UNDER NETWORK MODEL UNCERTAINTY
Saurabh Sihag, Ali Tajer, Rensselaer Polytechnic Institute, United States
SPCOM-L1.6: EFFICIENT MODEL-FREE LEARNING TO OVERCOME HARDWARE NONIDEALITIES IN ANALOG-TO-INFORMATION CONVERTERS
Sam Buchanan, Columbia University, United States; Tanbir Haque, Columbia University, InterDigital Communications Inc., United States; Peter Kinget, John Wright, Columbia University, United States
SPCOM-L2.1: ONE-BIT MASSIVE MIMO PRECODING VIA A MINIMUM SYMBOL-ERROR PROBABILITY DESIGN
Mingjie Shao, The Chinese University of Hong Kong, China; Qiang Li, The University of Electronic Science and Technology of China, China; Wing-Kin Ma, The Chinese University of Hong Kong, China
SPCOM-L2.2: REDUCED DIMENSION MINIMUM BER PSK PRECODING FOR CONSTRAINED TRANSMIT SIGNALS IN MASSIVE MIMO
A. Lee Swindlehurst, University of California, Irvine, United States; Hela Jedda, Technical University of Munich, Germany; Inbar Fijalkow, University Cergy- Pontoise, France
SPCOM-L2.3: MSE-OPTIMAL 1-BIT PRECODING FOR MULTIUSER MIMO VIA BRANCH AND BOUND
Sven Jacobsson, Ericsson Research, Sweden; Weiyu Xu, University of Iowa, United States; Giuseppe Durisi, Chalmers University of Technology, Sweden; Christoph Studer, Cornell University, United States
SPCOM-L2.4: ANTENNA SELECTION FOR LARGE-SCALE MIMO SYSTEMS WITH LOW-RESOLUTION ADCS
Jinseok Choi, Junmo Sung, Brian L. Evans, The University of Texas at Austin, United States; Alan Gatherer, Huawei Technologies Co., Ltd, United States
SPCOM-L2.5: PAPR MINIMIZATION THROUGH SPATIO-TEMPORAL SYMBOL-LEVEL PRECODING FOR THE NON-LINEAR MULTI-USER MISO CHANNEL
Danilo Spano, Maha Alodeh, Symeon Chatzinotas, Bjorn Ottersten, University of Luxembourg, Luxembourg
SPCOM-L2.6: DITHERED BEAMFORMING FOR CHANNEL ESTIMATION IN MMWAVE-BASED MASSIVE MIMO
Evangelos Vlachos, John Thompson, University of Edinburgh, United Kingdom
SPCOM-L3.1: FDD MASSIVE MIMO CHANNEL SPATIAL COVARIANCE CONVERSION USING PROJECTION METHODS
Lorenzo Miretti, EURECOM, France; Renato L. G. Cavalcante, Slawomir Stanczak, Fraunhofer Heinrich Hertz Institute, Germany
SPCOM-L3.2: MRT-BASED JOINT UNICAST AND MULTIGROUP MULTICAST TRANSMISSION IN MASSIVE MIMO SYSTEMS
Meysam Sadeghi, Singapore University of Technology and Design, Singapore; Emil Bjornson, Erik G. Larsson, Linkoping University, Sweden; Chau Yuen, Singapore University of Technology and Design, Singapore; Thomas Marzetta, New York University, United States
SPCOM-L3.3: PERFORMANCE OF INTERLEAVED TRAINING FOR SINGLE-USER HYBRID MASSIVE ANTENNA DOWNLINK
Cheng Zhang, Southeast University, China; Yindi Jing, University of Alberta, Canada; Yongming Huang, Luxi Yang, Southeast University, China
SPCOM-L3.4: HOW TO MOBILIZE MMWAVE: A JOINT BEAM AND CHANNEL TRACKING APPROACH
Jiahui Li, Tsinghua University, China; Yin Sun, Auburn University, United States; Limin Xiao, Shidong Zhou, Tsinghua University, China; Ashutosh Sabharwal, Rice University, United States
SPCOM-L3.5: HOW TO INTERCONNECT FOR MASSIVE MIMO SELF-CALIBRATION?
Fuqian Yang, Hanyu Zhu, ShanghaiTech University, China; Cong Shen, University of Science and Technology of China, China; Linglong Dai, Tsinghua University, China; Xiliang Luo, ShanghaiTech University, China
SPCOM-L3.6: OPTIMAL ALGORITHMS AND CRB FOR RECIPROCITY CALIBRATION IN MASSIVE MIMO
Kalyana Gopala, Dirk Slock, EURECOM, France
SPCOM-L4.1: ROBUST DECENTRALIZED DYNAMIC OPTIMIZATION
Wei Xu, Zhengqing Li, University of Science and Technology of China, China; Qing Ling, Sun Yat-sen University, China
SPCOM-L4.2: DATA INJECTION ATTACK ON DECENTRALIZED OPTIMIZATION
Xiaoxiao Wu, Shenzhen University, China; Hoi-To Wai, Anna Scaglione, Angelia Nedic, Ariona State University, United States; Amir Leshem, Bar-Ilan University, Israel
SPCOM-L4.3: QUANTISATION EFFECTS IN DISTRIBUTED OPTIMISATION
Joseph Jonkman, Thomas Sherson, Richard Heusdens, Delft University of Technology, Netherlands
SPCOM-L4.4: DISTRIBUTED SPLITTING-OVER-FEATURES SPARSE BAYESIAN LEARNING WITH ALTERNATING DIRECTION METHOD OF MULTIPLIERS
Christoph Manss, Dmitriy Shutin, German Aerospace Center (DLR), Germany; Geert Leus, Delft University of Technology, Netherlands
SPCOM-L4.5: A ROBUST EVENT-TRIGGERED CONSENSUS STRATEGY FOR LINEAR MULTI-AGENT SYSTEMS WITH UNCERTAIN NETWORK TOPOLOGY
Amir Amini, Amir Asif, Arash Mohammadi, Concordia University, Canada
SPCOM-L4.6: DISTRIBUTED OPTIMAL CONSENSUS-BASED KALMAN FILTERING AND ITS RELATION TO MAP ESTIMATION
Shengdi Wang, Henning Paul, Armin Dekorsy, University of Bremen, Germany
SPCOM-P1.1: TONE RESERVATION AND SOLVABILITY CONCEPTS FOR THE PAPR PROBLEM IN GENERAL ORTHONORMAL TRANSMISSION SYSTEMS
Holger Boche, Ullrich Monich, Technical University of Munich, Germany
SPCOM-P1.2: OPTIMAL TONE RESERVATION FOR PEAK TO AVERAGE POWER CONTROL OF CDMA SYSTEMS
Holger Boche, Ullrich Monich, Technical University of Munich, Germany
SPCOM-P1.3: FLEXIBLE MULTI-GROUP SINGLE-CARRIER MODULATION: OPTIMAL SUBCARRIER GROUPING AND RATE MAXIMIZATION
Yifei Yang, Shuowen Zhang, National University of Singapore, Singapore; Joni Polili Lie, Halliburton Far East, Singapore; Rui Zhang, National University of Singapore, Singapore
SPCOM-P1.4: UNDERLAY DEVICE-TO-DEVICE COMMUNICATIONS ON MULTIPLE CHANNELS
Mohamed Elnourani, Mohamed Hamid, Daniel Romero, Baltasar Beferull-Lozano, University of Agder, Norway
SPCOM-P1.5: ENERGY EFFICIENCY IN MIMO INTERFERENCE CHANNELS: SOCIAL OPTIMALITY AND MAX-MIN FAIRNESS
Yang Yang, University of Luxembourg, Luxembourg; Marius Pesavento, Technische Universität Darmstadt, Germany
SPCOM-P1.6: OPTIMAL POWER CONTROL LAW FOR EQUAL-RATE DS-CDMA NETWORKS GOVERNED BY A SUCCESSIVE SOFT INTERFERENCE CANCELLATION SCHEME
Francesc Molina Oliveras, Josep Sala Alvarez, Javier Villares Piera, Francesc Rey Micolau, Universitat Politecnica de Catalunya, Spain
SPCOM-P1.7: SEMI-CLOSED FORM SOLUTION FOR SUM RATE MAXIMIZATION IN DOWNLINK MULTIUSER MIMO VIA LARGE-SYSTEM ANALYSIS
Hei Victor Cheng, Emil Bjornson, Erik G. Larsson, Linkoping University, Sweden
SPCOM-P1.8: FINITE-ALPHABET NOMA FOR TWO-USER UPLINK CHANNEL
Zheng Dong, Shenzhen University and McMaster University, China; He (Henry) Chen, The University of Sydney, Australia; Jian-Kang Zhang, McMaster University, Canada; Lei Huang, Shenzhen University, China; Branka Vucetic, The University of Sydney, Australia
SPCOM-P1.9: THREE-USER MIMO BROADCAST CHANNEL WITH DELAYED CSIT: A HIGHER ACHIEVABLE DOF
Tong Zhang, Xiongwei Wu, The Chinese University of Hong Kong, China; Yinfei Xu, Southeast University, China; Yao Ge, Pak-Chung Ching, The Chinese University of Hong Kong, China
SPCOM-P2.1: ACHIEVABLE RATE MAXIMIZATION BY PASSIVE INTELLIGENT MIRRORS
Chongwen Huang, Singapore University of Technology and Design, Singapore; Alessio Zappone, CentraleSupelec, Universite Paris-Saclay, France; Merouane Debbah, Mathematical and Algorithmic Sciences Lab, Huawei France, France; Chau Yuen, Singapore University of Technology and Design, Singapore
SPCOM-P2.2: ON SELECTING ANTENNA PLACEMENTS IN INDOOR RADIO ENVIRONMENTS
Fabian Ågren, Johan Swärd, Andreas Jakobsson, Lund University, Sweden
SPCOM-P2.3: DELTA-SIGMA MODULATORS FOR CONSTANT ENVELOP TRANSMISSIONS WITH GUARANTEED STABILITY
Shuichi Ohno, Hiroshima University, Japan
SPCOM-P2.4: A NOVEL CONSTRUCTION OF Z-COMPLEMENTARY PAIRS BASED ON GENERALIZED BOOLEAN FUNCTIONS
Chao-Yu Chen, National Cheng Kung University, Taiwan
SPCOM-P2.5: ON ERROR RESILIENT DESIGN OF PREDICTIVE SCALABLE CODING SYSTEMS
Ahmed Elshafiy, Tejaswi Nanjundaswamy, Sina Zamani, Kenneth Rose, University of California, Santa Barbara, United States
SPCOM-P2.6: FASTER-THAN-NYQUIST SIGNALING WITH DIFFERENTIAL ENCODING AND NONCOHERENT DETECTION
Takumi Ishihara, Shinya Sugiura, Tokyo University of Agriculture and Technology, Japan
SPCOM-P2.7: HIGH-SPEED OPTICAL CAMERA COMMUNICATION USING AN OPTIMALLY MODULATED SIGNAL
Masanori Sugimoto, Hayato Kumaki, Hokkaido University, Japan; Takayuki Akiyama, SOKENDAI, Japan; Hiromichi Hashizume, National Institute of Informatics, Japan
SPCOM-P2.8: DOES VECTOR GAUSSIAN APPROXIMATION AFTER LMMSE FILTERING IMPROVE THE LLR QUALITY?
Werner Haselmayr, Oliver Lang, Andreas Springer, Mario Huemer, Johannes Kepler University Linz, Austria
SPCOM-P2.9: HAND: HEADER-ASSISTED NETWORK DECODING
Qiuyi Wang, Yang Xiao, Michel Kieffer, L2S, CNRS–CentraleSupelec–Univ Paris-Sud, Université Paris-Saclay, France; Cedric Adjih, INRIA, France
SPCOM-P2.10: ITERATIVE DECISION FEEDBACK EQUALIZATION FOR SC-FDE SYSTEMS WITHOUT FINE TIMING SYNCHRONIZATION
Kai Zhang, National Digital Switching System Engineering and Technological Research Center of China, China; Hongyi Yu, Yunpeng Hu, Zhixiang Shen, Zhengzhou Information Science and Technology Institute, China
SPCOM-P3.1: CONTENT DELIVERY DESIGN FOR CACHE-AIDED CLOUD RADIO ACCESS NETWORK TO ACHIEVE LOW LATENCY
Xiongwei Wu, Pak-Chung Ching, The Chinese University of Hong Kong, China
SPCOM-P3.2: MIN-MAX LATENCY OPTIMIZATION FOR MULTIUSER COMPUTATION OFFLOADING IN FOG-RADIO ACCESS NETWORKS
Qiang Li, Jin Lei, Jingran Lin, University of Electronic Science and Technology of China, China
SPCOM-P3.3: GLOBALLY OPTIMAL ENERGY EFFICIENCY MAXIMIZATION FOR CAPACITY-LIMITED FRONTHAUL CRANS WITH DYNAMIC POWER AMPLIFIERS' EFFICIENCY
Kien-Giang Nguyen, Quang-Doanh Vu, University of Oulu, Finland; Le-Nam Tran, University College Dublin, Ireland; Markku Juntti, University of Oulu, Finland
SPCOM-P3.4: CLOUD RADIO ACCESS NETWORK WITH OPTIMIZED BASE-STATION CACHING
Binbin Dai, Wei Yu, University of Toronto, Canada; Ya-Feng Liu, Chinese Academy of Sciences, China
SPCOM-P3.5: SOFTWARE DEFINED RESOURCE ALLOCATION FOR SERVICE-ORIENTED NETWORKS
Nan Zhang, Peking University, China; Ya-Feng Liu, Chinese Academy of Sciences, China; Hamid Farmanbar, Huawei Canada Research Center, Canada; Tsung-Hui Chang, The Chinese University of Hong Kong, Shenzhen, China; Mingyi Hong, University of Minnesota, United States; Zhi-Quan Luo, The Chinese University of Hong Kong, Shenzhen, China
SPCOM-P3.6: FLEXIBLE MULTIPLE BASE STATION ASSOCIATION AND ACTIVATION FOR DOWNLINK HETEROGENEOUS NETWORKS
Kaiming Shen, The Edward S. Rogers Sr. Department of Electrical and Computer Engineering/University of Toronto, Canada; Ya-Feng Liu, Academy of Mathematics and Systems Science/Chinese Academy of Sciences, China; David Ding, Wei Yu, The Edward S. Rogers Sr. Department of Electrical and Computer Engineering/University of Toronto, Canada
SPCOM-P3.7: ON INFORMATION COUPLING IN COOPERATIVE NETWORK SYNCHRONIZATION
Yifeng Xiong, Nan Wu, Beijing Institute of Technology, China; Yuan Shen, Tsinghua University, China; Jingming Kuang, Beijing Institute of Technology, China; Moe Win, Massachusetts Institute of Technology, United States
SPCOM-P3.8: ASYNCHRONOUS BLIND NETWORK DIVISION MULTIPLE ACCESS
Naeem Akl, Ahmed Tewfik, University of Texas at Austin, United States
SPCOM-P3.9: MULTIPLE PEER-TO-PEER BIDIRECTIONAL COOPERATIVE COMMUNICATIONS USING MASSIVE MIMO RELAYS
Razgar Rahimi, Shahram ShahbazPanahi, University of Ontario Institute of Technology, Canada
SPCOM-P3.10: JOINT TOPOLOGY AND RADIO RESOURCE OPTIMIZATION FOR DEVICE-TO-DEVICE BASED MOBILE SOCIAL NETWORKS
Mohamed Hamid, University of Agder/ Ericsson AB, Norway; Baltasar Beferull-Lozano, University of Agder, Norway
SPCOM-P4.1: JOINT TIME SYNCHRONIZATION AND LOCALIZATION FOR TARGET SENSORS USING A SINGLE MOBILE ANCHOR WITH POSITION UNCERTAINTIES
Fangling Yao, Yiyin Wang, Xinping Guan, Shanghai Jiao Tong University, China
SPCOM-P4.2: DNN-BASED WIRELESS POSITIONING IN AN OUTDOOR ENVIRONMENT
Jin-Young Lee, Chahyeon Eom, Yonsei University, Korea (South); Youngsu Kwak, Innowireless Co.Ltd, Korea (South); Hong-Goo Kang, Chungyong Lee, Yonsei University, Korea (South)
SPCOM-P4.3: UNDERWATER OPTICAL SENSOR NETWORKS LOCALIZATION WITH LIMITED CONNECTIVITY
Nasir Saeed, Abdulkadir Celik, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini, King abdullah University of science and Technology, Saudi Arabia
SPCOM-P4.4: ROBUST SEQUENCE-BASED LOCALIZATION IN ACOUSTIC SENSOR NETWORKS
Naigao Jin, Xin Zhou, Zihan Wang, Yu Liu, Lei Wang, Dalian University of Technology, China
SPCOM-P4.5: A MODIFIED SIGNAL PHASE UNWRAPPING ALGORITHM FOR RANGE ESTIMATION
Wenchao Li, University of Melbourne, Australia; Xuezhi Wang, RMIT University, Australia; Bill Moran, University of Melbourne, Australia
SPCOM-P4.6: JOINT PROBABILISTIC FORECASTS OF TEMPERATURE AND SOLAR IRRADIANCE
Raksha Ramakrishna, Arizona State University, United States; Andrey Bernstein, Emiliano Dall'Anese, National Renewable Energy Laboratory, United States; Anna Scaglione, Arizona State University, United States
SPCOM-P4.7: STOCHASTIC OPTIMIZATION OF POWER SYSTEMS WITH RISK CONSTRAINTS AND SPARSELY DISTRIBUTED STORAGE
Juan Andres Bazerque Giusto, Universidad de la Republica, Uruguay
SPCOM-P4.8: FAST DECENTRALIZED LEARNING VIA HYBRID CONSENSUS ADMM
Meng Ma, Athanasios N. Nikolakopoulos, Georgios B. Giannakis, University of Minnesota, United States
SPCOM-P4.9: DISTRIBUTED MAXIMUM LIKELIHOOD USING DYNAMIC AVERAGE CONSENSUS
Jemin George, U.S. Army Research Laboratory, United States
SPCOM-P4.10: AN ADAPTIVE COMBINATION RULE FOR DIFFUSION LMS BASED ON CONSENSUS PROPAGATION
Ayano Nakai, Kyoto University, Japan; Kazunori Hayashi, Osaka City University, Japan
SPCOM-P5.1: EFFICACY OF MULTIUSER MASSIVE MISO WIRELESS ENERGY TRANSFER UNDER IQ IMBALANCE AND CHANNEL ESTIMATION ERRORS OVER RICIAN FADING
Deepak Mishra, Hakan Johansson, Linkoping University, Sweden
SPCOM-P5.2: LOW-COMPLEXITY WEIGHTED MRT MULTICAST BEAMFORMING IN MASSIVE MIMO CELLULAR NETWORKS
Jiawei Yu, Min Dong, University of Ontario Institute of Technology, Canada
SPCOM-P5.3: PARALLEL BEAMFORMING DESIGN IN FULL DUPLEX SYSTEMS WITH PER-ANTENNA POWER CONSTRAINTS
Ruijin Sun, Ying Wang, Runcong Su, Yuanfei Liu, Beijing University of Posts and Telecommunications, China
SPCOM-P5.4: LOW-OVERHEAD RECEIVER-SIDE CHANNEL TRACKING FOR MMWAVE MIMO
Karthik Upadhya, Sergiy A. Vorobyov, Aalto University, Finland; Robert W. Heath, Jr., The University of Texas at Austin, United States
SPCOM-P5.5: A REFINED ANALYSIS OF THE GAP BETWEEN EXPECTED RATE FOR PARTIAL CSIT AND THE MASSIVE MIMO RATE LIMIT
Kalyana Gopala, Dirk Slock, EURECOM, France
SPCOM-P5.6: SYMBOL-LEVEL PRECODING IS SYMBOL-PERTURBED ZF WHEN ENERGY EFFICIENCY IS SOUGHT
Yatao Liu, Wing-Kin Ma, The Chinese University of Hong Kong, China
SPCOM-P5.7: ACHIEVING ACCOMPANYING BEAMPATTERN PEAK FOR HIGH-SPEED USERS VIA FREQUENCY DIVERSE ARRAY
Jingran Lin, Qiang Li, Dongmei Zhao, University of Electronic Science and Technology of China, China
SPCOM-P6.1: SEMI-BLIND CHANNEL ESTIMATION IN MASSIVE MIMO SYSTEMS WITH DIFFERENT PRIORS ON DATA SYMBOLS
Elina Nayebi, Bhaskar D. Rao, University of California, San Diego, United States
SPCOM-P6.2: TENSOR-BASED PARAMETER ESTIMATION OF DOUBLE DIRECTIONAL MASSIVE MIMO CHANNEL WITH DUAL-POLARIZED ANTENNAS
Cheng Qian, University of Virginia, United States; Xiao Fu, Oregon State University, United States; Nicholas D. Sidiropoulos, University of Virginia, United States; Ye Yang, WN Huawei Co., China
SPCOM-P6.3: IDENTIFICATION OF MULTIPLE-INPUT MULTIPLE-OUTPUT CHANNELS UNDER LINEAR SIDE CONSTRAINTS
Dae Gwan Lee, Götz E. Pfander, Katholische Universität Eichstätt-Ingolstadt, Germany; Volker Pohl, Technische Universität München, Germany; Weiqi Zhou, Katholische Universität Eichstätt-Ingolstadt, Germany
SPCOM-P6.4: SPARSITY AND RANK EXPLOITATION FOR TIME-VARYING NARROWBAND LEAKED OFDM CHANNEL ESTIMATION
Amr Elnakeeb, Urbashi Mitra, University of Southern California, United States
SPCOM-P6.5: EM-BASED SEMI-BLIND MIMO-OFDM CHANNEL ESTIMATION
Abdelhamid Ladaycia, Paris 13 University, France; Adel Belouchrani, Ecole Nationale Polytechnique, Alger, Algeria; Karim Abed-Meraim, Orleans University, France; Anissa Mokraoui, Paris 13 University, France
SPCOM-P6.6: SMALL-SAMPLE-SUPPORT CHANNEL ESTIMATION FOR MASSIVE MIMO SYSTEMS
George Sklivanitis, University at Buffalo, The State University of New York, United States; Konstantinos Tountas, Dimitris Pados, Stella Batalama, Florida Atlantic University, United States
SPCOM-P6.7: IMPORTANCE SAMPLING ESTIMATOR OF OUTAGE PROBABILITY UNDER GENERALIZED SELECTION COMBINING MODEL
Nadhir Ben Rached, King Abdullah University of Science and Technology, Saudi Arabia; Zdravko Botev, University of New South Wales, Australia; Abla Kammoun, Mohamed-Slim Alouini, Raul Tempone, King Abdullah University of Science and Technology, Saudi Arabia
SPCOM-P6.8: NARROWBAND CHANNEL ESTIMATION FOR HYBRID BEAMFORMING MILLIMETER WAVE COMMUNICATION SYSTEMS WITH ONE-BIT QUANTIZATION
Junmo Sung, Jinseok Choi, Brian L. Evans, The University of Texas at Austin, United States
SPTM-L1.1: SOMETIMES THEY COME BACK: TESTING TWO SIMPLE HYPOTHESES (IN THE REALM OF UNLABELED DATA)
Stefano Marano, University of Salerno, Italy; Peter Willett, university of connecticut, United States
SPTM-L1.2: ACTIVE ANOMALY DETECTION IN HETEROGENEOUS PROCESSES
Boshuang Huang, Cornell University, United States; Kobi Cohen, Ben-Gurion University of the Negev, Israel; Qing Zhao, Cornell University, United States
SPTM-L1.3: LOCALLY OPTIMAL INVARIANT DETECTOR FOR TESTING EQUALITY OF TWO POWER SPECTRAL DENSITIES
David Ramírez, University Carlos III of Madrid, Spain; Daniel Romero, University of Agder, Norway; Javier Vía, University of Cantabria, Spain; Roberto López-Valcarce, University of Vigo, Spain; Ignacio Santamaría, University of Cantabria, Spain
SPTM-L1.4: CHANGE-POINT DETECTION OF GAUSSIAN GRAPH SIGNALS WITH PARTIAL INFORMATION
Yanxi Chen, Xianghui Mao, Dan Ling, Yuantao Gu, Tsinghua University, China
SPTM-L1.5: ON THE HIGH-SNR RECEIVER OPERATING CHARACTERISTIC OF GLRT FOR THE CONDITIONAL SIGNAL MODEL
Simone Urbano, Airbus, France; Eric Chaumette, University of Toulouse / Isae-Supaero, France; Philippe Goupil, Airbus, France; Jean-Yves Tourneret, University of Toulouse / INP-ENSEEIHT, France
SPTM-L1.6: ON SEQUENTIAL RANDOM DISTORTION TESTING OF NON-STATIONARY PROCESSES
Prashant Khanduri, Syracuse University, United States; Dominique Pastor, IMT Atlantique, France; Vinod Sharma, Indian Institute of Science, India; Pramod K. Varshney, Syracuse University, United States
SPTM-L2.1: TOTAL VARIATION ITERATIVE LINEAR EXPANSION OF THRESHOLDS WITH APPLICATIONS IN CT
Shahar Tsiper, Oren Solomon, Yonina Eldar, Technion - Israel Institute of Technology, Israel
SPTM-L2.2: FAST PROJECTION-BASED SOLVERS FOR THE NON-CONVEX QUADRATICALLY CONSTRAINED FEASIBILITY PROBLEM
Konstantinos Slavakis, University at Buffalo, The State University of New York, United States; Aritra Konar, Nicholas D. Sidiropoulos, University of Virginia, United States
SPTM-L2.3: AN IMPROVED INITIALIZATION FOR LOW-RANK MATRIX COMPLETION BASED ON RANK-1 UPDATES
Ahmed Douik, Babak Hassibi, California Institute of Technology, United States
SPTM-L2.4: PHASE RETRIEVAL VIA SMOOTHING PROJECTED GRADIENT METHOD
Samuel Pinilla, Jorge Bacca, Jhon Angarita, Henry Arguello, Universidad Industrial de Santander, Colombia
SPTM-L2.5: A NONCONVEX VARIATIONAL APPROACH FOR ROBUST GRAPHICAL LASSO
Alessandro Benfenati, Universite' Paris Est, France; Emilie Chouzenoux, Universite' Paris Est Marne La Vallee', CentraleSupelec, Universite' Paris Saclay, France; Jean-Christophe Pesquet, CentraleSupelec, Universite Paris-Saclay, France
SPTM-L2.6: THE LANDSCAPE OF NON-CONVEX QUADRATIC FEASIBILITY
Amanda Bower, Lalit Jain, Laura Balzano, University of Michigan, United States
SPTM-L3.1: HYPERCOMPLEX TENSOR COMPLETION WITH CAYLEY-DICKSON SINGULAR VALUE DECOMPOSITION
Takehiko Mizoguchi, Isao Yamada, Tokyo Institute of Technology, Japan
SPTM-L3.2: GENERATIVE MODEL AND ASSOCIATED METRIC FOR COORDINATED-MOTION TARGET GROUPS
Leo Legrand, University of Bordeaux - Thales Airborne Systems, France; Audrey Giremus, University of Bordeaux, France; Eric Grivel, Bordeaux INP, France; Laurent Ratton, Bernard Joseph, Thales Airborne Systems, France
SPTM-L3.3: EXTENSION OF DECODING PROBLEM OF HMM BASED ON LP -NORM
Gen Hori, Asia University / RIKEN, Japan
SPTM-L3.4: EVOLUTIONARY SPECTRA BASED ON THE MULTITAPER METHOD WITH APPLICATION TO STATIONARITY TEST
Yu Xiang, Jie Ding, Vahid Tarokh, Harvard University, United States
SPTM-L3.5: COMPLEMENTARY COMPLEX-VALUED SPECTRUM FOR REAL-VALUED DATA: REAL TIME ESTIMATION OF THE PANORAMA THROUGH CIRCULARITY-PRESERVING DFT
Bruno Scalzo Dees, Imperial College London, United Kingdom; Scott C. Douglas, Southern Methodist University, United States; Danilo P. Mandic, Imperial College London, United Kingdom
SPTM-L3.6: A NOVEL THRESHOLDING TECHNIQUE FOR THE DENOISING OF MULTICOMPONENT SIGNALS
Duong-Hung Pham, Sylvain Meignen, Laboratoire Jean-Kuntzmann, France
SPTM-L4.1: ON APPROXIMATION OF BANDLIMITED FUNCTIONS WITH COMPRESSED SENSING
Adrian Huber, ETH Zurich, Switzerland; Shih-Chii Liu, University of Zurich/ ETH Zurich, Switzerland
SPTM-L4.2: SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION
Mario Coutino, Sundeep Prabhakar Chepuri, Geert Leus, Delft University of Technology, Netherlands
SPTM-L4.3: ON COMPRESSIVE SENSING OF SPARSE COVARIANCE MATRICES USING DETERMINISTIC SENSING MATRICES
Alihan Kaplan, Volker Pohl, Technische Universität München, Germany; Dae Gwan Lee, Katholische Universität Eichstätt-Ingolstadt, Germany
SPTM-L4.4: RECOVERY OF NOISY POINTS ON BANDLIMITED SURFACES: KERNEL METHODS RE-EXPLAINED
Sunrita Poddar, Mathews Jacob, University of Iowa, United States
SPTM-L4.5: ANALYSIS AND OPTIMIZATION OF APERTURE DESIGN IN COMPUTATIONAL IMAGING
Adam Yedidia, Christos Thrampoulidis, Gregory Wornell, Massachusetts Institute of Technology, United States
SPTM-L4.6: ACTIVE COVARIANCE ESTIMATION BY RANDOM SUB-SAMPLING OF VARIABLES
Eduardo Pavez, Antonio Ortega, University of Southern California, United States
SPTM-L5.1: MATRIX COMPLETION AS GRAPH BANDLIMITED RECONSTRUCTION
Weiyu Huang, University of Pennsylvania, United States; Antonio G. Marques, King Juan Carlos University, Spain; Alejandro Ribeiro, University of Pennsylvania, United States
SPTM-L5.2: COMMUNITY DETECTION FROM LOW-RANK EXCITATIONS OF A GRAPH FILTER
Hoi-To Wai, Arizona State University, United States; Santiago Segarra, Asuman Ozdaglar, Massachusetts Institute of Technology, United States; Anna Scaglione, Arizona State University, United States; Ali Jadbabaie, Massachusetts Institute of Technology, United States
SPTM-L5.3: IDENTIFYING UNDIRECTED NETWORK STRUCTURE VIA SEMIDEFINITE RELAXATION
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
SPTM-L5.4: CRITICALLY-SAMPLED GRAPH FILTER BANKS WITH SPECTRAL DOMAIN SAMPLING
Kana Watanabe, Akie Sakiyama, Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan; Antonio Ortega, University of Southern California, United States
SPTM-L5.5: THE ASYNCHRONOUS POWER ITERATION: A GRAPH SIGNAL PERSPECTIVE
Oguzhan Teke, P. P. Vaidyanathan, California Institute of Technology, United States
SPTM-L5.6: DISTRIBUTED ANALYTICAL GRAPH IDENTIFICATION
Sundeep Prabhakar Chepuri, Mario Coutino, Delft University of Technology, Netherlands; Antonio Garcia Marques, King Juan Carlos University, Spain; Geert Leus, Delft University of Technology, Spain
SPTM-L6.1: FASTER AND STILL SAFE: COMBINING SCREENING TECHNIQUES AND STRUCTURED DICTIONARIES TO ACCELERATE THE LASSO
Cassio F. Dantas, Rémi Gribonval, INRIA Rennes - Bretagne Atlantique, France
SPTM-L6.2: A TENSOR DECOMPOSITION TECHNIQUE FOR SOURCE LOCALIZATION FROM MULTIMODAL DATA
Junting Chen, Urbashi Mitra, University of Southern California, United States
SPTM-L6.3: NONCONVEX SPARSE LOGISTIC REGRESSION VIA PROXIMAL GRADIENT DESCENT
Xinyue Shen, Yuantao Gu, Tsinghua Univeristy, China
SPTM-L6.4: JOINT SCREENING TESTS FOR LASSO
Cedric Herzet, INRIA, France; Angelique Dremeau, ENSTA Bretagne - Lab-STICC, France
SPTM-L6.5: DYNAMIC MATRIX RECOVERY FROM PARTIALLY OBSERVED AND ERRONEOUS MEASUREMENTS
Pengzhi Gao, Meng Wang, Rensselaer Polytechnic Institute, United States
SPTM-L6.6: SEPARABLE DICTIONARY LEARNING FOR CONVOLUTIONAL SPARSE CODING VIA SPLIT UPDATES
Jorge Quesada Pacora, Paul Rodriguez Valderrama, Pontificia Universidad Catolica del Peru, Peru; Brendt Wohlberg, Los Alamos National Laboratory, United States
SPTM-L7.1: ROBUST DIFFUSION RECURSIVE LEAST SQUARES ESTIMATION WITH SIDE INFORMATION FOR NETWORKED AGENTS
Yi Yu, Haiquan Zhao, Southwest Jiaotong University, China; Rodrigo C. de Lamare, Yuriy Zakharov, University of York, United Kingdom
SPTM-L7.2: DISTRIBUTED APPROXIMATE MESSAGE PASSING WITH SUMMATION PROPAGATION
Ryo Hayakawa, Ayano Nakai, Kyoto University, Japan; Kazunori Hayashi, Osaka City University, Japan
SPTM-L7.3: OPTIMAL CROWDSOURCED CLASSIFICATION WITH A REJECT OPTION IN THE PRESENCE OF SPAMMERS
Qunwei Li, Pramod K. Varshney, Syracuse University, United States
SPTM-L7.4: IDENTIFYING SUSCEPTIBLE AGENTS IN TIME VARYING OPINION DYNAMICS THROUGH COMPRESSIVE MEASUREMENTS
Hoi-To Wai, Arizona State University, United States; Asuman Ozdaglar, Massachusetts Institute of Technology, United States; Anna Scaglione, Arizona State University, United States
SPTM-L7.5: TRAINING DEEP NEURAL NETWORKS VIA OPTIMIZATION OVER GRAPHS
Guoqiang Zhang, University of Technology Sydney, Australia; W. Bastiaan Kleijn, Victoria University of Wellington, New Zealand
SPTM-L7.6: ENERGY EFFICIENT CONSENSUS OVER DIRECTED GRAPHS
Cesar Asensio-Marco, Baltasar Beferull-Lozano, University of Agder, Norway
SPTM-L8.1: DISTRIBUTED DIFFUSION ADAPTATION OVER GRAPH SIGNALS
Roula Nassif, Ecole Polytechnique Fédérale de Lausanne, Switzerland; Cedric Richard, Universite Cote d'Azur, France; Jie Chen, Nortwestern Polytechnical University, China; Ali H. Sayed, Ecole Polytechnique Fédérale de Lausanne, Switzerland
SPTM-L8.2: IDENTIFICATION OF BILINEAR FORMS WITH THE KALMAN FILTER
Laura Dogariu, Constantin Paleologu, Silviu Ciochina, University Politehnica of Bucharest, Romania; Jacob Benesty, INRS-EMT, University of Quebec, Canada; Pablo Piantanida, CentraleSupelec - CNRS - Universite Paris-Sud, France
SPTM-L8.3: IMPROVED STEADY STATE ANALYSIS OF THE RECURSIVE LEAST SQUARES ALGORITHM
Muhammad Moinuddin, King Abduaziz University, Saudi Arabia; Tareq Y. Al-Naffouri, King Abdullah University of Science and Technology, Saudi Arabia; Khaled A. Al-Hujaili, Taibah University, Saudi Arabia
SPTM-L8.4: FEATURE LMS ALGORITHMS
Paulo Sergio Ramirez Diniz, Hamed Yazdanpanah, Markus Vinicius Santos Lima, Federal University of Rio de Janeiro, Brazil
SPTM-L8.5: A QUATERNION KERNEL MINIMUM ERROR ENTROPY ADAPTIVE FILTER
Tokunbo Ogunfunmi, Carlo Safarian, Santa Clara University, United States
SPTM-L8.6: AFFINE-PROJECTION LEAST-MEAN-MAGNITUDE-PHASE ALGORITHMS USING A POSTERIORI UPDATES
Scott C. Douglas, Southern Methodist University, United States; Danilo P. Mandic, Imperial College London, United Kingdom
SPTM-P1.1: RUMOR SOURCE DETECTION: A PROBABILISTIC PERSPECTIVE
Ting-Han Fan, I-Hsiang Wang, National Taiwan University, Taiwan
SPTM-P1.2: GRAPH ERROR EFFECT IN GRAPH SIGNAL PROCESSING
Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila, Aalto University, Finland
SPTM-P1.3: CONTROL OF GRAPH SIGNALS OVER RANDOM TIME-VARYING GRAPHS
Fernando Gama, University of Pennsylvania, United States; Elvin Isufi, Geert Leus, Delft University of Technology, Netherlands; Alejandro Ribeiro, University of Pennsylvania, United States
SPTM-P1.4: WHO IS MORE AT RISK IN HETEROGENOUS NETWORKS?
June Zhang, University of Hawaii at Manoa, United States; Jose' M.F. Moura, Carnegie Mellon University, United States
SPTM-P1.5: SAMPLING AND RECONSTRUCTION OF GRAPH SIGNALS VIA WEAK SUBMODULARITY AND SEMIDEFINITE RELAXATION
Abolfazl Hashemi, University of Texas at Austin, United States; Rasoul Shafipour, University of Rochester, United States; Haris Vikalo, University of Texas at Austin, United States; Gonzalo Mateos, University of Rochester, United States
SPTM-P1.6: A JOINT DETECTION AND RECONSTRUCTION METHOD FOR BLIND GRAPH SIGNAL RECOVERY
Xianghui Mao, Yuantao Gu, Tsinghua University, China
SPTM-P1.7: DEMIXING AND BLIND DECONVOLUTION OF GRAPH-DIFFUSED SPARSE SIGNALS
Fernando J. Iglesias, King Juan Carlos University, Spain; Santiago Segarra, Massachusetts Institute of Technology, United States; Samuel Rey-Escudero, Antonio G. Marques, King Juan Carlos University, Spain; David Ramírez, University Carlos III of Madrid, Spain
SPTM-P1.8: SMALL PERTURBATION ANALYSIS OF NETWORK TOPOLOGIES
Elena Ceci, Sergio Barbarossa, Sapienza University of Rome, Italy
SPTM-P1.9: THE NYSTROM EXTENSION FOR SIGNALS DEFINED ON A GRAPH
Ayelet Heimowitz, Princeton University, United States; Yonina Eldar, Technion - Israel Institute of Technology, Israel
SPTM-P2.1: COMPRESSIVE REGULARIZED DISCRIMINANT ANALYSIS OF HIGH-DIMENSIONAL DATA WITH APPLICATIONS TO MICROARRAY STUDIES
Muhammad Naveed Tabassum, Esa Ollila, Aalto University, Finland
SPTM-P2.2: CLASSIFYING PUMP-PROBE IMAGES OF MELANOCYTIC LESIONS USING THE WEYL TRANSFORM
Hyun Keun Ahn, Qiang Qiu, Duke University, United States; Edward Bosch, University of Maryland, United States; Andrew Thompson, University of Oxford, United Kingdom; Francisco Robles, Georgia Institute of Technology, United States; Guillermo Sapiro, Warren Warren, Robert Calderbank, Duke University, United States
SPTM-P2.3: A RANDOM MATRIX AND CONCENTRATION INEQUALITIES FRAMEWORK FOR NEURAL NETWORKS ANALYSIS
Cosme Louart, Romain Couillet, CentraleSupelec, Universite Paris-Saclay, France
SPTM-P2.4: 3D-HOG EMBEDDING FRAMEWORKS FOR SINGLE AND MULTI-VIEWPOINTS ACTION RECOGNITION BASED ON HUMAN SILHOUETTES
Federico Angelini, Zeyu Fu, Newcastle University, United Kingdom; Sergio A. Velastin, University Carlos III de Madrid, Spain; Jonathon Chambers, Syed Mohsen Naqvi, Newcastle University, United Kingdom
SPTM-P2.5: OPTIMAL POOLING OF COVARIANCE MATRIX ESTIMATES ACROSS MULTIPLE CLASSES
Elias Raninen, Esa Ollila, Aalto University, Finland
SPTM-P2.6: INTERPRETABLE CLUSTERING ENSEMBLES USING BINARY MATRIX FACTORIZATION
Sergey Sukhanov, Christian Debes, AGT International, Germany; Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SPTM-P2.7: DATA-DRIVEN NONPARAMETRIC HYPOTHESIS TESTING
Yixian Liu, Shanghai Institute of Microsystem & Information Technology; University of Chinese Academy of Sciences; School of Information Science and Technology, China; Yingbin Liang, The Ohio State University, United States; Shuguang Cui, University of California, Davis; Shenzhen Research Institute of Big Data, United States
SPTM-P2.8: MANIFOLD-BASED INFERENCE FOR A SUPERVISED GAUSSIAN PROCESS CLASSIFIER
Anis Fradi, University of Clermont Auvergne, France; Chafik Samir, Unviversity of Clermont Auvergne, France; Anne-Françoise Yao, University of Clermont Auvergne, France
SPTM-P3.1: SEGMENT PARAMETER LABELLING IN MCMC MEAN-SHIFT CHANGE DETECTION
Alireza Ahrabian, Shirin Enshaeifar, Clive Cheong-Took, Payam Barnaghi, University of Surrey, United Kingdom
SPTM-P3.2: PARTICLE FLOW PARTICLE FILTER FOR GAUSSIAN MIXTURE NOISE MODELS
Soumyasundar Pal, Mark Coates, McGill University, Canada
SPTM-P3.3: BAYESIAN INFERENCE FOR MULTI-LINE SPECTRA IN LINEAR SENSOR ARRAY
Viet Hung Tran, Wenwu Wang, University of Surrey, United Kingdom; Yuhui Luo, National Physical Laboratory, United Kingdom; Jonathon Chambers, Newcastle University, United Kingdom
SPTM-P3.4: BAYESIAN SPARSE SIGNAL DETECTION EXPLOITING LAPLACE PRIOR
Swatantra Kafle, Thakshila Wimalajeewa, Pramod K. Varshney, Syracuse University, United States
SPTM-P3.5: PARTICLE FILTERING AND INFERENCE FOR LIMIT ORDER BOOKS IN HIGH FREQUENCY FINANCE
Pinzhang Wang, Lin Li, Simon J. Godsill, University of Cambridge, United Kingdom
SPTM-P3.6: INFORMATION FUSION USING PARTICLES INTERSECTION
Or Tslil, Avishy Carmi, Ben-Gurion University of the Negev, Israel
SPTM-P3.7: NOVEL BAYESIAN CLUSTER ENUMERATION CRITERION FOR CLUSTER ANALYSIS WITH FINITE SAMPLE PENALTY TERM
Freweyni K. Teklehaymanot, Michael Muma, Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SPTM-P3.8: THE INCREMENTAL PROXIMAL METHOD: A PROBABILISTIC PERSPECTIVE
Omer Deniz Akyildiz, Universidad Carlos III de Madrid, Spain; Victor Elvira, IMT Lille Douai, France; Joaquin Miguez, Universidad Carlos III de Madrid, Spain
SPTM-P3.9: ILAPF: INCREMENTAL LEARNING ASSISTED PARTICLE FILTERING
Bin Liu, Nanjing University of Posts & Telecommunications, China
SPTM-P3.10: MARGINAL BAYESIAN BHATTACHARYYA BOUNDS FOR DISCRETE-TIME FILTERING
Carsten Fritsche, Linkoping University, Sweden; Umut Orguner, Emre Ozkan, Middle East Technical University, Turkey; Fredrik Gustafsson, Linkoping University, Sweden
SPTM-P4.1: ADAPTIVE PARAMETERS ADJUSTMENT FOR GROUP REWEIGHTED ZERO-ATTRACTING LMS
Danqi Jin, Jie Chen, Northwestern Polytechnical University, China; Cedric Richard, University of Cote d'Azur, France; Jingdong Chen, Northwestern Polytechnical University, China
SPTM-P4.2: GM-PHD FILTER BASED ONLINE MULTIPLE HUMAN TRACKING USING DEEP DISCRIMINATIVE CORRELATION MATCHING
Zeyu Fu, Federico Angelini, Syed Mohsen Naqvi, Jonathon Chambers, Newcastle University, United Kingdom
SPTM-P4.3: NON-ZERO DIFFUSION PARTICLE FLOW SMC-PHD FILTER FOR AUDIO-VISUAL MULTI-SPEAKER TRACKING
Yang Liu, Adrian Hilton, University of Surrey, United Kingdom; Jonathon Chambers, Newcastle University, United Kingdom; Yuxin Zhao, Harbin Engineering University, China; Wenwu Wang, University of Surrey, United Kingdom
SPTM-P4.4: KALMAN FILTERING AND CLUSTERING IN SENSOR NETWORKS
Sayed Pouria Talebi, Aalto University, Finland; Stefan Werner, Norwegian University of Science and Technology, Norway; Visa Koivunen, Aalto University, Finland
SPTM-P4.5: AUTOMATIC SHRINKAGE TUNING ROBUST TO INPUT CORRELATION FOR SPARSITY-AWARE ADAPTIVE FILTERING
Kwangjin Jeong, Masahiro Yukawa, Keio University, Japan; Masao Yamagishi, Isao Yamada, Tokyo Institute of Technology, Japan
SPTM-P4.6: MODELING AND DETECTION OF EVOLVING THREATS USING RANDOM FINITE SET STATISTICS
Zachariah Sutton, Peter Willett, Yaakov Bar-Shalom, University of Connecticut, United States
SPTM-P4.7: ZEROTH-ORDER DIFFUSION ADAPTATION OVER NETWORKS
Jie Chen, Northwestern Polytechnical University, China; Sijia Liu, IBM Research, United States; Pin-Yu Chen, IBM T.J. Watson Research Center, United States
SPTM-P4.8: WIDELY LINEAR CLMS BASED CANCELATION OF NONLINEAR SELF-INTERFERENCE IN FULL-DUPLEX DIRECT-CONVERSION TRANSCEIVERS
Zhe Li, Wenjiang Pei, Yili Xia, Kai Wang, Southeast University, China; Danilo P. Mandic, Imperial College London, United Kingdom
SPTM-P4.9: SPARSE DYNAMIC FILTERING VIA EARTH MOVER'S DISTANCE REGULARIZATION
Nicholas Bertrand, John Lee, Georgia Institute of Technology, United States; Adam Charles, Princeton University, United States; Pavel Dunn, Christopher Rozell, Georgia Institute of Technology, United States
SPTM-P4.10: CORRENTROPY-BASED ADAPTIVE FILTERING OF NONCIRCULAR COMPLEX DATA
Bruno Scalzo Dees, Imperial College London, United Kingdom; Yili Xia, Southeast University, China; Scott C. Douglas, Southern Methodist University, United States; Danilo P. Mandic, Imperial College London, United Kingdom
SPTM-P5.1: TWO-STAGE IDENTIFICATION OF LOCALLY STATIONARY AUTOREGRESSIVE PROCESSES AND ITS APPLICATION TO THE PARAMETRIC SPECTRUM ESTIMATION
Maciej Niedzwiecki, Marcin Ciolek, Gdansk University of Technology, Poland
SPTM-P5.2: DESIGNING SIGNALS WITH GOOD CORRELATION AND DISTRIBUTION PROPERTIES
Arindam Bose, Neshat Mohammadi, Mojtaba Soltanalian, University of Illinois at Chicago, United States
SPTM-P5.3: ADAPTIVE STFT WITH CHIRP-MODULATED GAUSSIAN WINDOW
Soo-Chang Pei, Shih-Gu Huang, National Taiwan University, Taiwan
SPTM-P5.4: A DISCRETE SIGNAL PROCESSING FRAMEWORK FOR SET FUNCTIONS
Markus Püschel, ETH Zurich, Switzerland
SPTM-P5.5: UNCERTAINTY PRINCIPLE FOR RATIONAL FUNCTIONS IN HARDY SPACE
Dan Xiong, Li Chai, Wuhan University of Science and Technology, China; Jingxin Zhang, Swinburne University of Technology, Australia
SPTM-P5.6: ON THE PERFORMANCE ANALYSIS OF WIFI BASED LOCALIZATION
Baoqi Huang, Minmin Liu, Zhendong Xu, Bing Jia, Inner Mongolia University, China
SPTM-P5.7: ENVELOPE ESTIMATION BY TANGENTIALLY CONSTRAINED SPLINE
Tsubasa Kusano, Kohei Yatabe, Yasuhiro Oikawa, Waseda University, Japan
SPTM-P5.8: A FAMILY OF MATRICES FOR GENERATING HERMITE-GAUSSIAN-LIKE DFT EIGENVECTORS
Jose Oliveira Neto, Juliano Lima, Federal University of Pernambuco, Brazil; Daniel Panario, Carleton University, Canada
SPTM-P5.9: PERMISSIBLE SUPPORT PATTERNS FOR IDENTIFYING THE SPREADING FUNCTION OF TIME-VARYING CHANNELS
Dae Gwan Lee, Katholische Universität Eichstätt-Ingolstadt, Germany; Alihan Kaplan, Volker Pohl, Technische Universität München, Germany
SPTM-P5.10: ALTERNATING MINIMIZATION APPROACH FOR IDENTIFICATION OF PIECEWISE CONTINUOUS HAMMERSTEIN SYSTEMS
Hiroki Kuroda, Masao Yamagishi, Isao Yamada, Tokyo Institute of Technology, Japan
SPTM-P6.1: ROBUST SEQUENTIAL TESTING OF MULTIPLE HYPOTHESES IN DISTRIBUTED SENSOR NETWORKS
Mark R. Leonard, Technische Universität Darmstadt, Germany; Maximilian Stiefel, Continental Engineering Services, Germany; Michael Fauss, Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SPTM-P6.2: ON THE EQUIVALENCE OF F-DIVERGENCE BALLS AND DENSITY BANDS IN ROBUST DETECTION
Michael Fauss, Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany; H. Vincent Poor, Princeton University, United States
SPTM-P6.3: QUICKEST CHANGE-POINT DETECTION OVER MULTIPLE DATA STREAMS VIA SEQUENTIAL OBSERVATIONS
Jun Geng, Harbin Institute of Technology, China; Lifeng Lai, University of California, Davis, United States
SPTM-P6.4: TENSOR SUBSPACE DETECTION WITH TUBAL-SAMPLING AND ELEMENTWISE-SAMPLING
Cuiping Li, Yue Sun, Xidian University, China; Xiao-Yang Liu, Columbia University, United States; Ying Li, Xidian University, China
SPTM-P6.5: PLUG-IN MEASURE-TRANSFORMED QUASI-LIKELIHOOD RATIO TEST FOR RANDOM SIGNAL DETECTION
Nir Halay, Koby Todros, Ben-Gurion University of the Negev, Israel
SPTM-P6.6: DETERMINING THE DIMENSION OF THE IMPROPER SIGNAL SUBSPACE IN COMPLEX-VALUED DATA
Tanuj Hasija, Christian Lameiro, Peter Schreier, Universität Paderborn, Germany
SPTM-P6.7: A PENALIZED METHOD FOR THE PREDICTIVE LIMIT OF LEARNING
Jie Ding, Enmao Diao, Jiawei Zhou, Vahid Tarokh, Harvard University, United States
SPTM-P6.8: CLOSED-FORM ORTHOGONAL RAMANUJAN INTEGER BASIS
Soo-Chang Pei, Kuo-Wei Chang, National Taiwan University, Taiwan
SPTM-P7.1: A DIMENSION-INDEPENDENT DISCRIMINANT BETWEEN DISTRIBUTIONS
Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero, University of Michigan, United States
SPTM-P7.2: UNEQUAL ERROR PROTECTION QUERYING POLICIES FOR THE NOISY 20 QUESTIONS PROBLEM
Hye Won Chung, Korea Advanced Institute of Science and Technology, Korea (South); Brian Sadler, U.S. Army Research Laboratory, United States; Lizhong Zheng, Massachusetts Institute of Technology, United States; Alfred O. Hero, University of Michigan, United States
SPTM-P7.3: OPTIMAL STOPPING TIMES FOR ESTIMATING BERNOULLI PARAMETERS WITH APPLICATIONS TO ACTIVE IMAGING
Safa Medin, Bogazici University, Turkey; John Murray-Bruce, Vivek Goyal, Boston University, United States
SPTM-P7.4: PRIVACY-AWARE KALMAN FILTERING
Yang Song, Chong Xiao Wang, Wee Peng Tay, Nanyang Technological University, Singapore
SPTM-P7.5: PARAMETER ESTIMATION OF HEAVY-TAILED RANDOM WALK MODEL FROM INCOMPLETE DATA
Junyan Liu, Sandeep Kumar, Daniel P. Palomar, Hong Kong University of Science and Technology, China
SPTM-P7.6: FINITE SAMPLE PERFORMANCE OF LINEAR LEAST SQUARES ESTIMATORS UNDER SUB-GAUSSIAN MARTINGALE DIFFERENCE NOISE
Michael Krikheli, Amir Leshem, Bar-Ilan University, Israel
SPTM-P7.7: ADA-PT: AN ADAPTIVE PARAMETER TUNING STRATEGY BASED ON THE WEIGHTED STEIN UNBIASED RISK ESTIMATOR
Rita Ammanouil, Andre Ferrari, Cedric Richard, Laboratoire Lagrange - OCA, France
SPTM-P7.8: GEOMETRIC INFORMATION BASED MONAURAL SPEECH SEPARATION USING DEEP NEURAL NETWORK
Yang Xian, Yang Sun, Jonathon Chambers, Syed Mohsen Naqvi, Newcastle University, United Kingdom
SPTM-P7.9: ON CONSISTENCY AND ASYMPTOTIC UNIQUENESS IN QUASI-MAXIMUM LIKELIHOOD BLIND SEPARATION OF TEMPORALLY-DIVERSE SOURCES
Amir Weiss, Arie Yeredor, Tel-Aviv University, Israel; Sher Ali Cheema, Martin Haardt, Technische Universität Ilmenau, Germany
SPTM-P7.10: FASTER ICA UNDER ORTHOGONAL CONSTRAINT
Pierre Ablin, Institut National de Recherche en Informatique et en Automatique, France; Jean-Francois Cardoso, Centre National de la Recherche Scientifique, France; Alexandre Gramfort, Institut National de Recherche en Informatique et en Automatique, France
SPTM-P8.1: USING OPTIMAL MASS TRANSPORT FOR TRACKING AND INTERPOLATION OF TOEPLITZ COVARIANCE MATRICES
Filip Elvander, Andreas Jakobsson, Lund University, Sweden; Johan Karlsson, KTH Royal Institute of Technology, Sweden
SPTM-P8.2: EFFICIENT ESTIMATION OF SCATTER MATRIX WITH CONVEX STRUCTURE UNDER T-DISTRIBUTION
Bruno Meriaux, Chengfang Ren, CentraleSupelec, France; Mohammed Nabil El Korso, Arnaud Breloy, Universite Paris-Ouest, France; Philippe Forster, ENS Paris-Saclay, France
SPTM-P8.3: CROSS-VALIDATED BANDWIDTH SELECTION FOR PRECISION MATRIX ESTIMATION
Jun Tong, Jiangtao Xi, Yanguang Yu, Philip Ogunbona, University of Wollongong, Australia
SPTM-P8.4: TRANSFORMED SPIKED COVARIANCE COMPLETION FOR TIME SERIES ESTIMATION
Benjamin Eng, Zhizhen Zhao, Farzad Kamalabadi, Lara Waldrop, University of Illinois at Urbana-Champaign, United States
SPTM-P8.5: A TOEPLITZ-TYLER ESTIMATION OF THE MODEL ORDER IN LARGE DIMENSIONAL REGIME
Eugenie Terreaux, CentraleSupelec, France; Jean-Philippe Ovarlez, Centralesupelec Onera, France; Frederic Pascal, CentraleSupelec, France
SPTM-P8.6: MAXIMUM-A-POSTERIORI SIGNAL RECOVERY WITH PRIOR INFORMATION: APPLICATIONS TO COMPRESSIVE SENSING
Ali Bereyhi, Ralf R. Müller, Friedrich-Alexander Universität Erlangen-Nürnberg, Germany
SPTM-P8.7: ROBUST OBJECT-AWARE SAMPLE CONSENSUS WITH APPLICATION TO LIDAR ODOMETRY
Hui Cheng, YongHeng Hu, Chongyu Chen, Liang Lin, Sun Yat-sen University, China
SPTM-P8.8: ROBUST ESTIMATION IN LINEAR ILL-POSED PROBLEMS WITH ADAPTIVE REGULARIZATION SCHEME
Mohamed A. Suliman, Houssem Sifaou, Tarig Ballal, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri, King abdullah University of science and Technology, Saudi Arabia
SPTM-P8.9: SNR ESTIMATION IN LINEAR SYSTEMS WITH GAUSSIAN MATRICES
Mohamed A. Suliman, Ayed M. Alrashdi, Tarig Ballal, Tareq Y. Al-Naffouri, King abdullah University of science and Technology, Saudi Arabia
SPTM-P8.10: PROXIMITY OPERATOR OF A SUM OF FUNCTIONS; APPLICATION TO DEPTH MAP ESTIMATION
Nelly Pustelnik, Laurent Condat, CNRS, France
SPTM-P9.1: SPECTRAL RADII OF ASYMPTOTIC MAPPINGS AND THE CONVERGENCE SPEED OF THE STANDARD FIXED POINT ALGORITHM
Renato L. G. Cavalcante, Slawomir Stanczak, Fraunhofer Heinrich Hertz Institute/TU Berlin, Germany
SPTM-P9.2: ASSESSING CROSS-DEPENDENCIES USING BIVARIATE MULTIFRACTAL ANALYSIS
Herwig Wendt, CNRS, University of Toulouse, France; Roberto Leonarduzzi, Hong Kong University of Science and Technology, China; Patrice Abry, Stephane Roux, Univ Lyon, ENS de Lyon, Univ Claude Bernard, CNRS, France; Stephane Jaffard, Stephane Seuret, University Paris-Est, France
SPTM-P9.3: DRIVER ESTIMATION IN NON-LINEAR AUTOREGRESSIVE MODELS
Tom Dupre la Tour, Yves Grenier, Telecom ParisTech, France; Alexandre Gramfort, Telecom ParisTech, Inria, France
SPTM-P9.4: HIGHER ORDER EXPONENTIAL SPLITTINGS FOR THE FAST NON-LINEAR FOURIER TRANSFORM OF THE KORTEWEG-DE VRIES EQUATION
Peter J. Prins, Sander Wahls, Delft University of Technology, Netherlands
SPTM-P9.5: IMPROVING MULTIKERNEL ADAPTIVE FILTERING WITH SELECTIVE BIAS
Magno Silva, Renato Candido, University of São Paulo, Brazil; Jeronimo Arenas-Garcia, Luis Azpicueta-Ruiz, Universidad Carlos III de Madrid, Spain
SPTM-P9.6: ASYMPTOTIC SIGNAL DETECTION RATES WITH 1-BIT ARRAY MEASUREMENTS
Manuel S. Stein, University of Bayreuth, Germany
SPTM-P9.7: AN L0 SOLUTION TO SPARSE APPROXIMATION PROBLEMS WITH CONTINUOUS DICTIONARIES
Megane Boudineau, Herve Carfantan, Institut de Recherche en Astrophyique et Planetologie, Universite de Toulouse/CNRS/CNES, France; Sebastien Bourguignon, Laboratoire des Sciences du Numerique de Nantes, Ecole Centrale de Nantes/CNRS, France
SPTM-P10.1: WHEN DOES PERIODICITY IN DISCRETE-TIME IMPLY THAT IN CONTINUOUS-TIME?
P. P. Vaidyanathan, Srikanth Tenneti, California Institute of Technology, United States
SPTM-P10.2: THE NETWORK NULLSPACE PROPERTY FOR COMPRESSED SENSING OF BIG DATA OVER NETWORKS
Madelon Hulsebos, Delft University of Technology, Netherlands; Alexander Jung, Aalto University, Finland
SPTM-P10.3: KERNEL-INDUCED SAMPLING THEOREM FOR TRANSLATION-INVARIANT REPRODUCING KERNEL HILBERT SPACES WITH UNIFORM SAMPLING
Akira Tanaka, Hokkaido University, Japan
SPTM-P10.4: ON THE COMPUTABILITY OF SYSTEM APPROXIMATIONS UNDER CAUSALITY CONSTRAINTS
Holger Boche, Volker Pohl, Technische Universität München, Germany
SPTM-P10.5: GRAPH SAMPLING WITH AND WITHOUT INPUT PRIORS
Sundeep Prabhakar Chepuri, Delft University of Technology, Netherlands; Yonina Eldar, Technion - Israel Institute of Technology, Israel; Geert Leus, Delft University of Technology, Netherlands
SPTM-P10.6: UNLIMITED SAMPLING OF SPARSE SIGNALS
Ayush Bhandari, Massachusetts Institute of Technology, United States; Felix Krahmer, Technische Universität München, Germany; Ramesh Raskar, Massachusetts Institute of Technology, United States
SPTM-P10.7: BANDLIMITED SPATIOTEMPORAL FIELD SAMPLING WITH LOCATION AND TIME UNAWARE MOBILE SENSORS
Sudeep Salgia, Animesh Kumar, Indian Institute of Technology Bombay, India
SPTM-P10.8: SPATIALLY-LIMITED SAMPLING OF BAND-LIMITED SIGNALS ON THE SPHERE
Wajeeha Nafees, Zubair Khalid, Lahore University of Management Sciences, Pakistan; Rodney A. Kennedy, Australian National University, Australia
SPTM-P10.9: WAVELET-BASED RECONSTRUCTION FOR UNLIMITED SAMPLING
Sunil Rudresh, Aniruddha Adiga, Basty Ajay Shenoy, Chandra Sekhar Seelamantula, Indian Institute of Science, India
SPTM-P10.10: EFFICIENT SAMPLING ON HEALPIX GRID
Adeem Aslam, Zubair Khalid, School of Science and Engineering, Lahore University of Management Sciences, Pakistan; Rodney A. Kennedy, Australian National University, Australia
SPTM-P11.1: GENERALIZED UNCERTAINTY PRINCIPLES FOR THE TWO-SIDED QUATERNION LINEAR CANONICAL TRANSFORM
Yan-Na Zhang, Bing-Zhao Li, Beijing Institute of Technology, China
SPTM-P11.2: LEARNING-BASED DESIGN OF MEASUREMENT MATRIX WITH INTER-COLUMN CORRELATION FOR COMPRESSIVE SENSING
Mahdi Parchami, Hamidreza Amindavar, Amirkabir University of Technology, Iran; Wei-Ping Zhu, Concordia University, Canada
SPTM-P11.3: DESIGN OF OPTIMAL ENTROPY-CONSTRAINED UNRESTRICTED POLAR QUANTIZER FOR BIVARIATE CIRCULARLY SYMMETRIC SOURCES
Huihui Wu, Sorina Dumitrescu, McMaster University, Canada
SPTM-P11.4: SOLVING LINEAR INVERSE PROBLEMS USING GAN PRIORS: AN ALGORITHM WITH PROVABLE GUARANTEES
Viraj Shah, Chinmay Hegde, Iowa State University, United States
SPTM-P11.5: TARM: A TURBO-TYPE ALGORITHM FOR LOW-RANK MATRIX RECOVERY
Zhipeng Xue, ShanghaiTech University, China; Xiaojun Yuan, University of Electronic Science and Technology of China, China; Junjie Ma, Columbia University, United States
SPTM-P11.6: AN IMPROVED ITERATIVE ALGORITHM FOR BAND-LIMITED SIGNAL EXTRAPOLATION ON THE SPHERE
Usama Elahi, The Australian National University, Australia; Zubair Khalid, Lahore University of Management Sciences, Pakistan; Rodney A. Kennedy, The Australian National University, Australia
SPTM-P11.7: CONVERGENCE ANALYSIS ON A FAST ITERATIVE PHASE RETRIEVAL ALGORITHM WITHOUT INDEPENDENCE ASSUMPTION
Gen Li, Yuchen Jiao, Yuantao Gu, Tsinghua University, China
SPTM-P11.8: MULTI-SEGMENT RECONSTRUCTION USING INVARIANT FEATURES
Mona Zehni, Minh N. Do, Zhizhen Zhao, University of Illinois at Urbana-Champaign, United States
SPTM-P11.9: COHERENCE BOUNDS FOR SENSING MATRICES IN SPHERICAL HARMONICS EXPANSION
Arya Bangun, Arash Behboodi, Rudolf Mathar, RWTH Aachen University, Germany
SPTM-P11.10: ON THE SNR VARIABILITY IN NOISY COMPRESSED SENSING
Anastasia Lavrenko, Florian Roemer, Giovanni Del Galdo, Reiner Thomae, Technische Universität Ilmenau, Germany
SPTM-P12.1: FAST DISTRIBUTED SUBSPACE PROJECTION VIA GRAPH FILTERS
Thilina Weerasinghe, Daniel Romero, Cesar Asensio-Marco, Baltasar Beferull-Lozano, University of Agder, Norway
SPTM-P12.2: MULTI-KERNEL REGRESSION FOR GRAPH SIGNAL PROCESSING
Arun Venkitaraman, Saikat Chatterjee, Peter Handel, KTH Royal Institute of Technology, Sweden
SPTM-P12.3: OPTIMAL POWER AND BIT ALLOCATION FOR GRAPH SIGNAL INTERPOLATION
Paolo Di Lorenzo, Sergio Barbarossa, Sapienza University of Rome, Italy; Paolo Banelli, University of Perugia, Italy
SPTM-P12.4: GREEDY ALGORITHM WITH APPROXIMATION RATIO FOR SAMPLING NOISY GRAPH SIGNALS
Changlong Wu, Wenxin Chen, June Zhang, University of Hawaii at Manoa, United States
SPTM-P12.5: BEING LOW-RANK IN THE TIME-FREQUENCY PLANE
Valentin Emiya, Ronan Hamon, Aix Marseille Univ, CNRS, Centrale Marseille, LIS, France; Caroline Chaux, Aix Marseille Univ, CNRS, Centrale Marseille, I2M, France
SPTM-P12.6: GREEDY PURSUITS BASED GRADUAL WEIGHTING STRATEGY FOR WEIGHTED L1-MINIMIZATION
Sathiya Narayanan Sekar, Nanyang Technological University, Singapore; Sujit Kumar Sahoo, National University of Singapore, Singapore; Anamitra Makur, Nanyang Technological University, Singapore
SPTM-P12.7: DICTIONARY LEARNING FOR HIGH DIMENSIONAL GRAPH SIGNALS
Yael Yankelevsky, Michael Elad, Technion - Israel Institute of Technology, Israel
SPTM-P12.8: EFFICIENT CONVOLUTIONAL DICTIONARY LEARNING USING PARTIAL UPDATE FAST ITERATIVE SHRINKAGE-THRESHOLDING ALGORITHM
Gustavo Silva, Electrical Engineering Department, Pontificia Universidad Catolica del Peru, Lima, Peru, Peru; Paul Rodriguez Valderrama, Rodriguez Valderrama, Peru
SPTM-P12.9: STATISTICAL LEARNING OF RATIONAL WAVELET TRANSFORM FOR NATURAL IMAGES
Naushad Ansari, Anubha Gupta, IIIT Delhi, India
SPTM-P12.10: A FAST AND MEMORY-EFFICIENT ALGORITHM FOR ROBUST PCA (MEROP)
Praneeth Narayanamurthy, Namrata Vaswani, Iowa State University, United States
SPTM-P13.1: ON THE ROLE OF THE BOUNDED LEMMA IN THE SDP FORMULATION OF ATOMIC NORM PROBLEMS
Oguzhan Teke, P. P. Vaidyanathan, California Institute of Technology, United States
SPTM-P13.2: INSENSE: INCOHERENT SENSOR SELECTION FOR SPARSE SIGNALS
Amirali Aghazadeh, Stanford University, United States; Mohammad Golbabaee, University of Edinburgh, United Kingdom; Andrew Lan, Princeton University, United States; Richard Baraniuk, Rice University, United Kingdom
SPTM-P13.3: FAST PROJECTION ONTO THE L8;1-MIXED NORM BALL USING STEFFENSEN ROOT SEARCH
Gustavo Chau, Pontificia Universidad Catolica del Peru, Peru; Brendt Wohlberg, Los Alamos National Laboratory, United States; Paul Rodriguez Valderrama, Pontificia Universidad Catolica del Peru, Peru
SPTM-P13.4: ROBUST PCA VIA DICTIONARY BASED OUTLIER PURSUIT
Xingguo Li, Jineng Ren, Sirisha Rambhatla, University of Minnesota, United States; Yangyang Xu, Rensselaer Polytechnic Institute, United States; Jarvis Haupt, University of Minnesota, United States
SPTM-P13.5: PARAMETER SELECTION STRATEGY FOR SPARSITY ENFORCING PRIOR MODELS
Mircea Dumitru, CentraleSupelec, France
SPTM-P13.6: PHASESPLIT: A VARIABLE SPLITTING FRAMEWORK FOR PHASE RETRIEVAL
Subhadip Mukherjee, Suprosanna Shit, Chandra Sekhar Seelamantula, Indian Institute of Science, India
SPTM-P13.7: LARGE-SCALE HIGH-DIMENSIONAL CLUSTERING WITH FAST SKETCHING
Antoine Chatalic, Universite de Rennes 1, France; Rémi Gribonval, Inria Rennes, France; Nicolas Keriven, Universite de Rennes 1, France
SPTM-P13.8: LOW-RANK AND JOINT-SPARSE SIGNAL RECOVERY FOR SPATIALLY AND TEMPORALLY CORRELATED DATA USING SPARSE BAYESIAN LEARNING
Yanbin Zhang, Yangqing Li, Changchuan Yin, Kesen He, Beijing University of Posts and Telecommunications, China
SPTM-P14.1: CONSISTENT CHANGE POINT DETECTION FOR PIECEWISE CONSTANT SIGNALS WITH NORMALIZED FUSED LASSO
Arash Owrang, Mohammadreza Malek-Mohammadi, Alexandre Proutiere, Magnus Jansson, KTH Royal Institute of Technology, Sweden
SPTM-P14.2: INEXACT PROXIMAL OPERATORS FOR LP-QUASINORM MINIMIZATION
Cian O'Brien, Mark D. Plumbley, University of Surrey, United Kingdom
SPTM-P14.3: FPS-SFT: A MULTI-DIMENSIONAL SPARSE FOURIER TRANSFORM BASED ON THE FOURIER PROJECTION-SLICE THEOREM
Shaogang Wang, Vishal Patel, Athina Petropulu, Rutgers University, United States
SPTM-P14.4: LOW-RANK MATRIX RECOVERY FROM ONE-BIT COMPARISON INFORMATION
Arindam Bose, Aria Ameri, Matthew Klug, Mojtaba Soltanalian, University of Illinois at Chicago, United States
SPTM-P14.5: STRONG DUALITY OF SPARSE FUNCTIONAL OPTIMIZATION
Luiz Chamon, University of Pennsylvania, United States; Yonina Eldar, Technion - Israel Institute of Technology, Israel; Alejandro Ribeiro, University of Pennsylvania, United States
SPTM-P14.6: WEIGHTED BLOCK SPARSE BAYESIAN LEARNING FOR BASIS SELECTION
Ahmed Al Hilli, Rutgers University / Al furat Al Awsat Technical Collage, United States; Athina Petropulu, Rutgers University, United States
SP-L1.1: MULTI-DIALECT SPEECH RECOGNITION WITH A SINGLE SEQUENCE-TO-SEQUENCE MODEL
Bo Li, Tara Sainath, Khe Chai Sim, Michiel Bacchiani, Eugene Weinstein, Patrick Nguyen, Zhifeng Chen, Yonghui Wu, Kanishka Rao, Google Inc., United States
SP-L1.2: ON MODULAR TRAINING OF NEURAL ACOUSTICS-TO-WORD MODEL FOR LVCSR
Zhehuai Chen, Qi Liu, Hao Li, Kai Yu, Shanghai Jiao Tong University, China
SP-L1.3: BUILDING COMPETITIVE DIRECT ACOUSTICS-TO-WORD MODELS FOR ENGLISH CONVERSATIONAL SPEECH RECOGNITION
Kartik Audhkhasi, Brian Kingsbury, Bhuvana Ramabhadran, George Saon, Michael Picheny, IBM, United States
SP-L1.4: ATTENTION-BASED END-TO-END SPEECH RECOGNITION ON VOICE SEARCH
Changhao Shan, Northwestern Polytechnical University / Xiaomi Inc., China; Junbo Zhang, Yujun Wang, Xiaomi Inc., China; Lei Xie, Northwestern Polytechnical University, China
SP-L1.5: ADVANCING CONNECTIONIST TEMPORAL CLASSIFICATION WITH ATTENTION MODELING
Amit Das, University of Illinois, United States; Jinyu Li, Rui Zhao, Yifan Gong, Microsoft, United States
SP-L1.6: STATE-OF-THE-ART SPEECH RECOGNITION WITH SEQUENCE-TO-SEQUENCE MODELS
Chung-Cheng Chiu, Tara Sainath, Yonghui Wu, Rohit Prabhavalkar, Patrick Nguyen, Zhifeng Chen, Anjuli Kannan, Ron Weiss, Kanishka Rao, Ekaterina Gonina, Navdeep Jaitly, Bo Li, Jan Chorowski, Michiel Bacchiani, Google Inc., United States
SP-L2.1: NATURAL TTS SYNTHESIS BY CONDITIONING WAVENET ON MEL SPECTROGRAM PREDICTIONS
Jonathan Shen, Ruoming Pang, Ron Weiss, Mike Schuster, Navdeep Jaitly, Google Inc., United States; Zongheng Yang, University of California, Berkeley, United States; Zhifeng Chen, Yu Zhang, Yuxuan Wang, R. J. Skerry-Ryan, Rif A. Saurous, Yannis Agiomyrgiannakis, Yonghui Wu, Google Inc., United States
SP-L2.2: EFFICIENTLY TRAINABLE TEXT-TO-SPEECH SYSTEM BASED ON DEEP CONVOLUTIONAL NETWORKS WITH GUIDED ATTENTION
Hideyuki Tachibana, Katsuya Uenoyama, PKSHA Technology Inc., Japan; Shunsuke Aihara, Independent Researcher, Japan
SP-L2.3: FORWARD ATTENTION IN SEQUENCE-TO-SEQUENCE ACOUSTIC MODELING FOR SPEECH SYNTHESIS
Jing-Xuan Zhang, Zhen-Hua Ling, Li-Rong Dai, University of Science and Technology of China, China
SP-L2.4: DEEP FEED-FORWARD SEQUENTIAL MEMORY NETWORKS FOR SPEECH SYNTHESIS
Mengxiao Bi, Heng Lu, Shiliang Zhang, Ming Lei, Zhijie Yan, Alibaba Inc., China
SP-L2.5: CYBORG SPEECH: DEEP MULTILINGUAL SPEECH SYNTHESIS FOR GENERATING SEGMENTAL FOREIGN ACCENT WITH NATURAL PROSODY
Gustav Eje Henter, Jaime Lorenzo-Trueba, Xin Wang, National Institute of Informatics, Japan; Mariko Kondo, Waseda University, Japan; Junichi Yamagishi, National Institute of Informatics and The University of Edinburgh, Japan
SP-L2.6: A COMPARISON OF RECENT WAVEFORM GENERATION AND ACOUSTIC MODELING METHODS FOR NEURAL-NETWORK-BASED SPEECH SYNTHESIS
Xin Wang, Jaime Lorenzo-Trueba, Shinji Takaki, National Institute of Informatics, Japan; Lauri Juvela, Aalto University, Finland; Junichi Yamagishi, National Institute of Informatics, Japan
SP-L3.1: SEQUENCE MODELING IN UNSUPERVISED SINGLE-CHANNEL OVERLAPPED SPEECH RECOGNITION
Zhehuai Chen, Shanghai Jiao Tong University, China; Jasha Droppo, Microsoft AI and Research, United States
SP-L3.2: UTTERANCE-WISE RECURRENT DROPOUT AND ITERATIVE SPEAKER ADAPTATION FOR ROBUST MONAURAL SPEECH RECOGNITION
Peidong Wang, DeLiang Wang, The Ohio State University, United States
SP-L3.3: END-TO-END MULTI-SPEAKER SPEECH RECOGNITION
Shane Settle, TTI-Chicago, United States; Jonathan Le Roux, Takaaki Hori, Shinji Watanabe, John R. Hershey, Mitsubishi Electric Research Laboratories, United States
SP-L3.4: EXPLORING THE USE OF GROUP DELAY FOR GENERALISED VTS BASED NOISE COMPENSATION
Erfan Loweimi, Jon Barker, Thomas Hain, The University of Shefield, United Kingdom
SP-L3.5: COMPARATIVE EVALUATIONS OF VARIOUS FACTORED DEEP CONVOLUTIONAL RNN ARCHITECTURES FOR NOISE ROBUST SPEECH RECOGNITION
Masakiyo Fujimoto, Hisashi Kawai, NICT, Japan
SP-L3.6: MULTI SCALE FEEDBACK CONNECTION FOR NOISE ROBUST ACOUSTIC MODELING
Dung Tran, Ken-Ichi Iso, Motoi Omachi, Yuya Fujita, Yahoo Japan Corporation, Japan
SP-L4.1: MINIMUM WORD ERROR RATE TRAINING FOR ATTENTION-BASED SEQUENCE-TO-SEQUENCE MODELS
Rohit Prabhavalkar, Tara Sainath, Yonghui Wu, Patrick Nguyen, Zhifeng Chen, Chung-Cheng Chiu, Anjuli Kannan, Google Inc., United States
SP-L4.2: SEMI-SUPERVISED TRAINING OF ACOUSTIC MODELS USING LATTICE-FREE MMI
Vimal Manohar, Hossein Hadian, Daniel Povey, Sanjeev Khudanpur, Johns Hopkins University, United States
SP-L4.3: ACOUSTIC FEATURE LEARNING USING CROSS-DOMAIN ARTICULATORY MEASUREMENTS
Qingming Tang, Toyota Technological Institute at Chicago, United States; Weiran Wang, Amazon Alexa, United States; Karen Livescu, Toyota Technological Institute at Chicago, United States
SP-L4.4: DOMAIN ADVERSARIAL TRAINING FOR ACCENTED SPEECH RECOGNITION
Sining Sun, Northwestern Polytechnical University, China; Ching-Feng Yeh, Mei-Yuh Hwang, Mobvoi AI Lab, United States; Mari Ostendorf, University of Washington, United States; Lei Xie, Northwestern Polytechnical University, China
SP-L4.5: ACOUSTIC MODELING OF SPEECH WAVEFORM BASED ON MULTI-RESOLUTION, NEURAL NETWORK SIGNAL PROCESSING
Zoltan Tuske, Ralf Schlueter, Hermann Ney, RWTH Aachen University, Germany
SP-L4.6: IMPROVED TDNNS USING DEEP KERNELS AND FREQUENCY DEPENDENT GRID-RNNS
Florian Kreyssig, Chao Zhang, Philip Woodland, University of Cambridge, United Kingdom
SP-L5.1: JOINT I-VECTOR WITH END-TO-END SYSTEM FOR SHORT DURATION TEXT-INDEPENDENT SPEAKER VERIFICATION
Zili Huang, Shuai Wang, Yanmin Qian, Shanghai Jiao Tong University, China
SP-L5.2: END-TO-END DNN BASED SPEAKER RECOGNITION INSPIRED BY I-VECTOR AND PLDA
Johan Rohdin, Anna Silnova, Mireia Diez, Oldrich Plchot, Pavel Matejka, Lukas Burget, Brno University of Technology, Czech Republic
SP-L5.3: GENERALIZED END-TO-END LOSS FOR SPEAKER VERIFICATION
Li Wan, Quan Wang, Alan Papir, Ignacio Lopez Moreno, Google Inc., United States
SP-L5.4: TOWARDS DIRECTLY MODELING RAW SPEECH SIGNAL FOR SPEAKER VERIFICATION USING CNNS
Hannah Muckenhirn, Idiap Research Institute, Ecole Polytechnique Federale de Lausanne, Switzerland; Mathew Magimai Doss, Sebastien Marcel, Idiap Research Institute, Switzerland
SP-L5.5: UNSUPERVISED DOMAIN ADAPTATION VIA DOMAIN ADVERSARIAL TRAINING FOR SPEAKER RECOGNITION
Qing Wang, Northwestern Polytechnical University, China; Wei Rao, Nanyang Technological University, Singapore; Sining Sun, Lei Xie, Northwestern Polytechnical University, China; Eng Siong Chng, Nanyang Technological University, Singapore; Haizhou Li, National University of Singapore, Singapore
SP-L5.6: A CORRECTIVE LEARNING APPROACH FOR TEXT-INDEPENDENT SPEAKER VERIFICATION
Yandong Wen, Tianyan Zhou, Rita Singh, Bhiksha Raj, Carnegie Mellon University, United States
SP-L6.1: ADVERSARIAL MULTILINGUAL TRAINING FOR LOW-RESOURCE SPEECH RECOGNITION
Jiangyan Yi, Jianhua Tao, Zhengqi Wen, Ye Bai, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China
SP-L6.2: MULTILINGUAL SPEECH RECOGNITION WITH A SINGLE END-TO-END MODEL
Shubham Toshniwal, TTI-Chicago, United States; Tara Sainath, Ron Weiss, Bo Li, Pedro Moreno, Eugene Weinstein, Kanishka Rao, Google Inc., United States
SP-L6.3: SEQUENCE-BASED MULTI-LINGUAL LOW RESOURCE SPEECH RECOGNITION
Siddharth Dalmia, Ramon Sanabria, Florian Metze, Alan Black, Carnegie Mellon University, United States
SP-L6.4: TOWARDS LANGUAGE-UNIVERSAL END-TO-END SPEECH RECOGNITION
Suyoun Kim, Carnegie Mellon University, United States; Michael Seltzer, Microsoft Research, United States
SP-L6.5: AN END-TO-END LANGUAGE-TRACKING SPEECH RECOGNIZER FOR MIXED-LANGUAGE SPEECH
Hiroshi Seki, Toyohashi University of Technology, Japan; Shinji Watanabe, Johns Hopkins University, United States; Takaaki Hori, Jonathan Le Roux, John R. Hershey, Mitsubishi Electric Research Laboratories, United States
SP-L6.6: OPTIMIZING MULTILINGUAL KNOWLEDGE TRANSFER FOR TIME-DELAY NEURAL NETWORKS WITH LOW-RANK FACTORIZATION
Francis Keith, William Hartmann, Man-Hung Siu, Jeff Ma, Owen Kimball, Raytheon BBN Technologies, United States
SP-L7.1: DYNAMIC MULTI-RATER GAUSSIAN MIXTURE REGRESSION INCORPORATING TEMPORAL DEPENDENCIES OF EMOTION UNCERTAINTY USING KALMAN FILTERS
Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah, University of New South Wales, Australia
SP-L7.2: SMOOTHING MODEL PREDICTIONS USING ADVERSARIAL TRAINING PROCEDURES FOR SPEECH BASED EMOTION RECOGNITION
Saurabh Sahu, University of Maryland College Park, United States; Rahul Gupta, Amazon, United States; Ganesh Sivaraman, Carol Espy-Wilson, University of Maryland College Park, United States
SP-L7.3: MEASURING UNCERTAINTY IN DEEP REGRESSION MODELS: THE CASE OF AGE ESTIMATION FROM SPEECH
Nanxin Chen, Jesus Villalba, Johns Hopkins University, United States; Yishay Carmiel, IntelligentWire, United States; Najim Dehak, Johns Hopkins University, United States
SP-L7.4: TOWARDS PREDICTING PHYSIOLOGY FROM SPEECH DURING STRESSFUL CONVERSATIONS: HEART RATE AND RESPIRATORY SINUS ARRHYTHMIA
Arindam Jati, University of Southern California, United States; Paula Williams, Brian Baucom, University of Utah, United States; Panayiotis Georgiou, University of Southern California, United States
SP-L7.5: ATTITUDE CLASSIFICATION IN ADJACENCY PAIRS OF A HUMAN-AGENT INTERACTION WITH HIDDEN CONDITIONAL RANDOM FIELDS
Valentin Barriere, Chloe Clavel, Slim Essid, Telecom ParisTech, France
SP-L7.6: MULTIMODAL BAG-OF-WORDS FOR CROSS DOMAINS SENTIMENT ANALYSIS
Nicholas Cummins, Shahin Amiriparian, Sandra Ottl, University of Augsburg, Germany; Maurice Gerczuk, University of Passau, Germany; Maximilian Schmitt, Bjoern Schuller, University of Augsburg, Germany
SP-L8.1: SAMPLED CONNECTIONIST TEMPORAL CLASSIFICATION
Ehsan Variani, Tom Bagby, Google Inc., United States; Kamel Lahouel, Johns Hopkins University, United States; Erik McDermott, Michiel Bacchiani, Google Inc., United States
SP-L8.2: SOFT-TARGET TRAINING WITH AMBIGUOUS EMOTIONAL UTTERANCES FOR DNN-BASED SPEECH EMOTION CLASSIFICATION
Atsushi Ando, Satoshi Kobashikawa, Hosana Kamiyama, Ryo Masumura, Yusuke Ijima, Yushi Aono, NTT Corporation, Japan
SP-L8.3: VISION AS AN INTERLINGUA: LEARNING MULTILINGUAL SEMANTIC EMBEDDINGS OF UNTRANSCRIBED SPEECH
David Harwath, Galen Chuang, James Glass, Massachusetts Institute of Technology, United States
SP-L8.4: DEEP WORD EMBEDDINGS FOR VISUAL SPEECH RECOGNITION
Themos Stafylakis, Georgios Tzimiropoulos, University of Nottingham, United Kingdom
SP-L8.5: LINGUISTIC UNIT DISCOVERY FROM MULTI-MODAL INPUTS IN UNWRITTEN LANGUAGES: SUMMARY OF THE "SPEAKING ROSETTA" JSALT 2017 WORKSHOP
Odette Scharenborg, Radboud University, Nijmegen, Netherlands; Laurent Besacier, Université Grenoble Alpes, France; Alan Black, Carnegie Mellon University, United States; Mark Hasegawa-Johnson, University of Illinois at Urbana-Champaign, United States; Florian Metze, Graham Neubig, Carnegie Mellon University, United States; Sebastian Stüker, Karlsruhe Institute of Technology, Germany; Pierre Godard, LIMSI, France; Markus Müller, Karlsruhe Institute of Technology, Germany; Lucas Ondel, University of Brno, Czech Republic; Shruti Palaskar, Philip Arthur, Francesco Ciannella, Carnegie Mellon University, United States; Mingxing Du, Elin Larsen, ENS/CNRS/EHESS/INRIA, France; Danny Merkx, Radboud University, Nijmegen, Netherlands; Rachid Riad, ENS/CNRS/EHESS/INRIA, France; Liming Wang, University of Illinois at Urbana-Champaign, United States; Emmanuel Dupoux, ENS/CNRS/EHESS/INRIA, France
SP-L8.6: DYNAMIC FRAME SKIPPING FOR FAST SPEECH RECOGNITION IN RECURRENT NEURAL NETWORK BASED ACOUSTIC MODELS
Inchul Song, Samsung Advanced Institute of Technology, Korea (South); Junyoung Chung, Taesup Kim, Yoshua Bengio, The University of Montreal, Canada
SP-L9.1: A NONLINEAR 3D GEOMETRIC TONGUE MODEL
Qiang Fang, Institute of Linguistics, Chinese Academy of Social Sciences, China; Hequn Li, Jianguo Wei, School of Software, Tianjin University, China; Jianrong Wang, School of Computer Science, Tianjin University, China; Xiyu Wu, Peking University, China
SP-L9.2: DIRECT, NEAR REAL TIME ANIMATION OF A 3D TONGUE MODEL USING NON-INVASIVE ULTRASOUND IMAGES
Shicheng Chen, Yifeng Zheng, Chengrui Wu, Guorui Sheng, Tianjin University, China; Pierre Roussel, Institut Langevin, France; Bruce Denby, Tianjin University, China
SP-L9.3: CONCATENATIVE ARTICULATORY VIDEO SYNTHESIS USING REAL-TIME MRI DATA FOR SPOKEN LANGUAGE TRAINING
Urvish Desai, Indian Institute of Technology (ISM), India; Chiranjeevi Yarra, Prasanta Kumar Ghosh, Indian Institute of Science, India
SP-L9.4: A SUPERVISED AIR-TISSUE BOUNDARY SEGMENTATION TECHNIQUE IN REAL-TIME MAGNETIC RESONANCE IMAGING VIDEO USING A NOVEL MEASURE OF CONTRAST AND DYNAMIC PROGRAMMING
Advait Koparkar, Birla Institute of Technology and Science, India; Prasanta Kumar Ghosh, Indian Institute of Science, India
SP-L9.5: HUMAN AND MACHINE SPEAKER RECOGNITION BASED ON SHORT TRIVIAL EVENTS
Miao Zhang, Xiaofei Kang, Yanqing Wang, Lantian Li, Zhiyuan Tang, Haisheng Dai, Dong Wang, Tsinghua University, China
SP-L9.6: METHOD OF ESTIMATING DIRECTION OF ARRIVAL OF SOUND SOURCE FOR MONAURAL HEARING BASED ON TEMPORAL MODULATION PERCEPTION
Nguyen Khanh Bui, Daisuke Morikawa, Masashi Unoki, Japan Advanced Institute of Science and Technology, Japan
SP-L10.1: LANGUAGE AND NOISE TRANSFER IN SPEECH ENHANCEMENT GENERATIVE ADVERSARIAL NETWORK
Santiago Pascual, Universitat Politecnica de Catalunya, Spain; Maruchan Park, Chungnam National University, Spain; Joan Serra, Telefonica Research, Spain; Antonio Bonafonte, Universitat Politecnica de Catalunya, Spain; Kang-Hun Ahn, Chungnam National University, Spain
SP-L10.2: EXPLORING SPEECH ENHANCEMENT WITH GENERATIVE ADVERSARIAL NETWORKS FOR ROBUST SPEECH RECOGNITION
Chris Donahue, University of California, San Diego, United States; Bo Li, Rohit Prabhavalkar, Google Inc., United States
SP-L10.3: SPEECH BANDWIDTH EXTENSION USING GENERATIVE ADVERSARIAL NETWORKS
Sen Li, Stephane Villette, Pravin Ramadas, Daniel Sinder, Qualcomm, United States
SP-L10.4: BOOSTING NOISE ROBUSTNESS OF ACOUSTIC MODEL VIA DEEP ADVERSARIAL TRAINING
Bin Liu, Shuai Nie, Yaping Zhang, Dengfeng Ke, Shan Liang, Wenju Liu, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China
SP-L10.5: TIME-FREQUENCY MASKING-BASED SPEECH ENHANCEMENT USING GENERATIVE ADVERSARIAL NETWORK
Meet H. Soni, Neil Shah, Hemant A. Patil, DA-IICT, India
SP-L10.6: GENERATIVE ADVERSARIAL NETWORKS BASED DATA AUGMENTATION FOR NOISE ROBUST SPEECH RECOGNITION
Hu Hu, Tian Tan, Yanmin Qian, Shanghai Jiao Tong University, China
SP-L11.1: SPEECH ENHANCEMENT USING MULTIPLE DEEP NEURAL NETWORKS
Pavan Karjol, Indian Institute of Science, India; Ajay Kumar M, National Institute of Technology Karnataka, Surathkal, India; Prasanta Kumar Ghosh, Indian Institute of Science, India
SP-L11.2: DENSELY CONNECTED PROGRESSIVE LEARNING FOR LSTM-BASED SPEECH ENHANCEMENT
Tian Gao, Jun Du, Li-Rong Dai, University of Science and Technology of China, China; Chin-Hui Lee, Georgia Institute of Technology, United States
SP-L11.3: MONAURAL SPEECH ENHANCEMENT USING DEEP NEURAL NETWORKS BY MAXIMIZING A SHORT-TIME OBJECTIVE INTELLIGIBILITY MEASURE
Morten Kolbæk, Zheng-Hua Tan, Jesper Jensen, Aalborg University, Denmark
SP-L11.4: LISTENING TO EACH SPEAKER ONE BY ONE WITH RECURRENT SELECTIVE HEARING NETWORKS
Keisuke Kinoshita, NTT Corporation, Japan; Lukas Drude, Paderborn University, Japan; Marc Delcroix, Tomohiro Nakatani, NTT Corporation, Japan
SP-L11.5: A WAVENET FOR SPEECH DENOISING
Dario Rethage, Jordi Pons, Xavier Serra, Music Technology Group, Universitat Pompeu Fabra, Spain
SP-L11.6: PERCEPTUALLY GUIDED SPEECH ENHANCEMENT USING DEEP NEURAL NETWORKS
Yan Zhao, The Ohio State University, United States; Buye Xu, Ritwik Giri, Tao Zhang, Starkey Hearing Technologies, United States
SP-P1.1: DEEP MULTIMODAL LEARNING FOR EMOTION RECOGNITION IN SPOKEN LANGUAGE
Yue Gu, Shuhong Chen, Ivan Marsic, Rutgers University, United States
SP-P1.2: STUDY OF DENSE NETWORK APPROACHES FOR SPEECH EMOTION RECOGNITION
Mohammed Abdelwahab, Carlos Busso, University of Texas at Dallas, United States
SP-P1.3: END-TO-END SPEECH EMOTION RECOGNITION USING DEEP NEURAL NETWORKS
Panagiotis Tzirakis, Jiehao Zhang, Bjoern Schuller, Imperial College London, United Kingdom
SP-P1.4: DEEP FACTORIZATION FOR SPEECH SIGNAL
Lantian Li, Dong Wang, Yixiang Chen, Ying Shi, Zhiyuan Tang, Thomas Fang Zheng, Tsinghua University, China
SP-P1.5: UNSUPERVISED LEARNING APPROACH TO FEATURE ANALYSIS FOR AUTOMATIC SPEECH EMOTION RECOGNITION
Sefik Emre Eskimez, Zhiyao Duan, Wendi Heinzelman, University of Rochester, United States
SP-P1.6: HUMAN-LIKE EMOTION RECOGNITION: MULTI-LABEL LEARNING FROM NOISY LABELED AUDIO-VISUAL EXPRESSIVE SPEECH
Yelin Kim, University at Albany, SUNY, United States; Jeesun Kim, Western Sydney University, Australia
SP-P1.7: SEMI-SUPERVISED AND TRANSFER LEARNING APPROACHES FOR LOW RESOURCE SENTIMENT CLASSIFICATION
Rahul Gupta, Amazon, United States; Saurabh Sahu, Carol Espy-Wilson, University of Maryland College Park, United States; Shrikanth Narayanan, University of Southern California, United States
SP-P2.1: MEASURING THE EFFECT OF LINGUISTIC RESOURCES ON PROSODY MODELING FOR SPEECH SYNTHESIS
Andrew Rosenberg, Raul Fernandez, Bhuvana Ramabhadran, IBM Research AI, United States
SP-P2.2: EMPHATIC SPEECH PROSODY PREDICTION WITH DEEP LSTM NETWORKS
Slava Shechtman, Moran Mordechay, IBM Research AI, Israel
SP-P2.3: MODELING THE ACQUISITION OF INTONATION: A FIRST STEP
Michael Fry, University of British Columbia, Canada
SP-P2.4: EMPHATIC SPEECH GENERATION WITH CONDITIONED INPUT LAYER AND BIDIRECTIONAL LSTMS FOR EXPRESSIVE SPEECH SYNTHESIS
Runnan Li, Tsinghua University, China; Zhiyong Wu, The Chinese University of Hong Kong, China; Yuchen Huang, Jia Jia, Tsinghua University, China; Helen Meng, Lianhong Cai, The Chinese University of Hong Kong, China
SP-P2.5: WHAT IS MY DOG TRYING TO TELL ME? THE AUTOMATIC RECOGNITION OF THE CONTEXT AND PERCEIVED EMOTION OF DOG BARKS
Simone Hantke, Nicholas Cummins, Bjoern Schuller, University of Augsburg, Germany
SP-P2.6: CROWDSOURCING EMOTIONAL SPEECH
Jennifer Smith, Andreas Tsiartas, Valerie Wagner, SRI International, United States; Elizabeth Shriberg, Ellipsis Health, United States; Nikoletta Bassiou, SRI International, United States
SP-P2.7: EFFECT OF PROSODY MODIFICATION ON CHILDREN'S ASR
Syed Shahnawazuddin, National Institute of Technology of Patna, India; Nagaraj Adiga, University of Crete, Greece; Hemant Kumar Kathania, National Institute of Technology of Sikkim, India
SP-P3.1: UNSUPERVISED CROSS-CORPUS SPEECH EMOTION RECOGNITION USING DOMAIN-ADAPTIVE SUBSPACE LEARNING
Na Liu, Tianjin University of Technology, China; Yuan Zong, Southeast University, China; Baofeng Zhang, Tianjin University of Technology, China; Li Liu, Jie Chen, Guoying Zhao, University of Oulu, China; Junchao Zhu, Tianjin University of Technology, China
SP-P3.2: IMPROVING SEMI-SUPERVISED CLASSIFICATION FOR LOW-RESOURCE SPEECH INTERACTION APPLICATIONS
Manoj Kumar, Pavlos Papadopoulos, Ruchir Travadi, Daniel Bone, Shrikanth Narayanan, University of Southern California, United States
SP-P3.3: ENHANCEMENT AND ANALYSIS OF CONVERSATIONAL SPEECH: JSALT 2017
Neville Ryant, University of Pennsylvania, United States; Elika Bergelson, Duke University, United States; Kenneth Church, IBM, United States; Alejandrina Cristia, Laboratoire de Sciences Cognitives et Psycholinguistique, France; Jun Du, University of Science and Technology of China, China; Sriram Ganapathy, Indian Institute of Science, India; Sanjeev Khudanpur, Johns Hopkins University, United States; Diana Kowalski, University of Illinois, United States; Mahesh Krishnamoorthy, Apple, Inc., United States; Rajat Kulshreshta, Carnegie Mellon University, United States; Mark Liberman, University of Pennsylvania, United States; Yu-Ding Lu, Academia Sinica, Taiwan; Matthew Maciejewski, Johns Hopkins University, United States; Florian Metze, Carnegie Mellon University, United States; Jan Profant, Brno University of Technology, Czech Republic; Lei Sun, University of Science and Technology of China, China; Yu Tsao, Academia Sinica, Taiwan; Zhou Yu, University of California, Davis, United States
SP-P3.4: A DEEPER LOOK AT GAUSSIAN MIXTURE MODEL BASED ANTI-SPOOFING SYSTEMS
Bhusan Chettri, Bob L. Sturm, Queen Mary University of London, United Kingdom
SP-P3.5: BINAURAL SPEECH SOURCE LOCALIZATION USING TEMPLATE MATCHING OF INTERAURAL TIME DIFFERENCE PATTERNS
Karthik Girija Ramesan, Prasanta Kumar Ghosh, Indian Institute of Science, India
SP-P3.6: PHONEME BASED EMBEDDED SEGMENTAL K-MEANS FOR UNSUPERVISED TERM DISCOVERY
Saurabhchand Bhati, Indian institute of Technology Hyderabad, India; Herman Kamper, Stellenbosch University, South Africa; K Sri Rama Murty, Indian institute of Technology Hyderabad, India
SP-P3.7: JOINT BAYESIAN ESTIMATION OF TIME-VARYING LP PARAMETERS AND EXCITATION FOR SPEECH
Srikanth Raj Chetupalli, Sreenivas V Thippur, Indian Institute of Science, India
SP-P4.1: EXPLOITING CONVOLUTIONAL NEURAL NETWORKS FOR PHONOTACTIC BASED DIALECT IDENTIFICATION
Maryam Najafian, Sameer Khurana, Suwon Shon, Massachusetts Institute of Technology, United States; Ahmed Ali, Qatar Computing Research Institute, Qatar; James Glass, Massachusetts Institute of Technology, United States
SP-P4.2: A GENERATIVE AUDITORY MODEL EMBEDDED NEURAL NETWORK FOR SPEECH PROCESSING
Yu-Wen Lo, Yih-Liang Shen, National Chiao Tung University, Taiwan; Yuan-Fu Liao, National Taipei University of Technology, Taiwan; Tai-Shih Chi, National Chiao Tung University, Taiwan
SP-P4.3: DNN BASED EMBEDDINGS FOR LANGUAGE RECOGNITION
Alicia Lozano-Diez, Universidad Autonoma de Madrid, Spain; Oldrich Plchot, Pavel Matejka, Brno University of Technology, Czech Republic; Joaquin Gonzalez-Rodriguez, Universidad Autonoma de Madrid, Spain
SP-P4.4: A NOVEL LEARNABLE DICTIONARY ENCODING LAYER FOR END-TO-END LANGUAGE IDENTIFICATION
Weicheng Cai, Zexin Cai, Sun Yat-sen University, China; Xiang Zhang, Tencent Inc., China; Xiaoqi Wang, Jiangsu Jinling Science and Technology Group Limited, China; Ming Li, Duke Kunshan University, China
SP-P4.5: ON THE IMPORTANCE OF ANALYTIC PHASE OF SPEECH SIGNALS IN SPOKEN LANGUAGE RECOGNITION
Karthika Vijayan, Haizhou Li, National University of Singapore, Singapore; Hanwu Sun, Kong Aik Lee, Institute for Infocomm Research, Singapore
SP-P4.6: END-TO-END HIERARCHICAL LANGUAGE IDENTIFICATION SYSTEM
Saad Irtza, Vidhyasaharan Sethu, Eliathamby Ambikairajah, University of New South Wales Sydney, Australia; Haizhou Li, National University of Singapore, Singapore
SP-P4.7: FACTORIZED HIDDEN VARIABILITY LEARNING FOR ADAPTATION OF SHORT DURATION LANGUAGE IDENTIFICATION MODELS
Sarith Fernando, Vidhyasaharan Sethu, Eliathamby Ambikairajah, University of New South Wales, Australia
SP-P4.8: INSIGHTS INTO END-TO-END LEARNING SCHEME FOR LANGUAGE IDENTIFICATION
Weicheng Cai, Zexin Cai, Sun Yat-sen University, China; Wenbo Liu, Carnegie Mellon University, China; Xiaoqi Wang, Jiangsu Jinling Science and Technology Group Limited, China; Ming Li, Duke Kunshan University, China
SP-P4.9: AN OPEN-SOURCE SPEAKER GENDER DETECTION FRAMEWORK FOR MONITORING GENDER EQUALITY
David Doukhan, Jean Carrive, French National Institute of Audiovisual (Ina), France; Félicien Vallet, Commission Nationale de l'Informatique et des Libertés (CNIL), France; Anthony Larcher, Sylvain Meignier, LIUM - Université du Maine, France
SP-P4.10: MULTILINGUAL ADAPTATION OF RNN BASED ASR SYSTEMS
Markus Mueller, Sebastian Stüker, Alex Waibel, Karlsruhe Institute of Technology, Germany
SP-P5.1: MULTISTREAM DIARIZATION FUSION USING THE MINIMUM VARIANCE BAYESIAN INFORMATION CRITERION
Taejin Park, Panayiotis Georgiou, University of Southern California, United States
SP-P5.2: SAYS WHO? DEEP LEARNING MODELS FOR JOINT SPEECH RECOGNITION, SEGMENTATION AND DIARIZATION
Amitrajit Sarkar, Surajit Dasgupta, Sudip Kumar Naskar, Sivaji Bandyopadhyay, Jadavpur University, India
SP-P5.3: A NOVEL LSTM-BASED SPEECH PREPROCESSOR FOR SPEAKER DIARIZATION IN REALISTIC MISMATCH CONDITIONS
Lei Sun, Jun Du, Tian Gao, University of Science and Technology of China, China; Yu-Ding Lu, Yu Tsao, Academia Sinica, Taiwan; Chin-Hui Lee, Georgia Institute of Technology, United States; Neville Ryant, University of Pennsylvania, United States
SP-P5.4: SPEAKER DIARIZATION WITH LSTM
Quan Wang, Google Inc., United States; Carlton Downey, Carnegie Mellon University, United States; Li Wan, Philip Andrew Mansfield, Ignacio Lopez Moreno, Google Inc., United States
SP-P5.5: CHARACTERIZING PERFORMANCE OF SPEAKER DIARIZATION SYSTEMS ON FAR-FIELD SPEECH USING STANDARD METHODS
Matthew Maciejewski, David Snyder, Vimal Manohar, Najim Dehak, Sanjeev Khudanpur, Johns Hopkins University, United States
SP-P5.6: LEVERAGING LSTM MODELS FOR OVERLAP DETECTION IN MULTI-PARTY MEETINGS
Neeraj Sajjan, Shobhana Ganesh, Neeraj Sharma, Sriram Ganapathy, Indian Institute of Science, India; Neville Ryant, Linguistic Data Consortium, United States
SP-P5.7: DEREVERBERATION AND BEAMFORMING IN FAR-FIELD SPEAKER RECOGNITION
Ladislav Mosner, Pavel Matejka, Ondrej Novotny, Jan Cernocky, Brno University of Technology, Czech Republic
SP-P5.8: SUFFICIENCY QUANTIFICATION FOR SEAMLESS TEXT-INDEPENDENT SPEAKER ENROLLMENT
Gokcen Cilingir, Jonathan Huang, Mandar S. Joshi, Narayan Biswal, Intel corporation, United States
SP-P5.9: SPEAKER-PHONETIC VECTOR ESTIMATION FOR SHORT DURATION SPEAKER VERIFICATION
Jianbo Ma, Vidhyasaharan Sethu, Eliathamby Ambikairajah, University of New South Wales, Australia; Kong Aik Lee, Data Science Research Laboratories, NEC Corporation, Japan, Japan
SP-P5.10: UNSUPERVISED DOMAIN ADAPTATION FOR GENDER-AWARE PLDA MIXTURE MODELS
Longxin Li, Man-Wai Mak, The Hong Kong Polytechnic University, China
SP-P6.1: NON-PARALLEL VOICE CONVERSION USING VARIATIONAL AUTOENCODERS CONDITIONED BY PHONETIC POSTERIORGRAMS AND D-VECTORS
Yuki Saito, The University of Tokyo, Japan; Yusuke Ijima, Kyosuke Nishida, NTT Corporation, Japan; Shinnosuke Takamichi, The University of Tokyo, Japan
SP-P6.2: HIGH-QUALITY NONPARALLEL VOICE CONVERSION BASED ON CYCLE-CONSISTENT ADVERSARIAL NETWORK
Fuming Fang, Junichi Yamagishi, Isao Echizen, Jaime Lorenzo-Trueba, National Institute of Informatics, Japan
SP-P6.3: VOICE CONVERSION THROUGH RESIDUAL WARPING IN A SPARSE, ANCHOR-BASED REPRESENTATION OF SPEECH
Christopher Liberatore, Guanlong Zhao, Ricardo Gutierrez-Osuna, Texas A&M University, United States
SP-P6.4: STATISTICAL VOICE CONVERSION BASED ON WAVENET
Jumpei Niwa, Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda, Nagoya Institute of Technology, Japan
SP-P6.5: PARALLEL-DATA-FREE DICTIONARY LEARNING FOR VOICE CONVERSION USING NON-NEGATIVE TUCKER DECOMPOSITION
Yuki Takashima, Hajime Yano, Kobe University, Japan; Toru Nakashika, The University of Electro-Communications, Japan; Tetsuya Takiguchi, Yasuo Ariki, Kobe University, Japan
SP-P6.6: TEXT-TO-SPEECH SYNTHESIS USING STFT SPECTRA BASED ON LOW-/MULTI-RESOLUTION GENERATIVE ADVERSARIAL NETWORKS
Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari, The University of Tokyo, Japan
SP-P6.7: FEATURE BASED ADAPTATION FOR SPEAKING STYLE SYNTHESIS
Xixin Wu, Lifa Sun, The Chinese University of Hong Kong, China; Shiyin Kang, Tencent AI Lab, China; Songxiang Liu, The Chinese University of Hong Kong, China; Zhiyong Wu, Graduate School at Shenzhen, Tsinghua University, China; Xunying Liu, Helen Meng, The Chinese University of Hong Kong, China
SP-P6.8: ADAPTATION OF AN EXPRESSIVE SINGLE SPEAKER DEEP NEURAL NETWORK SPEECH SYNTHESIS SYSTEM
Jonathan Parker, University of Cambridge; Toshiba Research Europe Ltd, Cambridge, UK, United Kingdom; Yannis Stylianou, Toshiba Research Europe Ltd, United Kingdom; Roberto Cipolla, University of Cambridge; Toshiba Research Europe Ltd, Cambridge, UK, United Kingdom
SP-P6.9: ACCENT CONVERSION USING PHONETIC POSTERIORGRAMS
Guanlong Zhao, Texas A&M University, United States; Sinem Sonsaat, John Levis, Evgeny Chukharev-Hudilainen, Iowa State University, United States; Ricardo Gutierrez-Osuna, Texas A&M University, United States
SP-P6.10: LINEAR NETWORKS BASED SPEAKER ADAPTATION FOR SPEECH SYNTHESIS
Zhiying Huang, Heng Lu, Ming Lei, Zhijie Yan, Alibaba Inc., China
SP-P7.1: GENERALISED DISCRIMINATIVE TRANSFORM VIA CURRICULUM LEARNING FOR SPEAKER RECOGNITION
Erik Marchi, Stephen Shum, Kyuyeon Hwang, Sachin Kajarekar, Siddharth Sigtia, Hywel Richards, Rob Haynes, Yoon Kim, John Bridle, Apple, Inc., United Kingdom
SP-P7.2: X-VECTORS: ROBUST DNN EMBEDDINGS FOR SPEAKER RECOGNITION
David Snyder, Daniel Garcia-Romero, Gregory Sell, Daniel Povey, Sanjeev Khudanpur, The Johns Hopkins University, United States
SP-P7.3: DEEP CNN BASED FEATURE EXTRACTOR FOR TEXT-PROMPTED SPEAKER RECOGNITION
Sergey Novoselov, STC-innovation Ltd., ITMO University, Russia; Oleg Kudashev, STC-innovation Ltd., Russia; Vadim Shchemelinin, ITMO University, Russia; Ivan Kremnev, STC Ltd., Russia; Galina Lavrentyeva, ITMO University, Russia
SP-P7.4: FOCAL KL-DIVERGENCE BASED DILATED CONVOLUTIONAL NEURAL NETWORKS FOR CO-CHANNEL SPEAKER IDENTIFICATION
Shuai Wang, Yanmin Qian, Kai Yu, Shanghai Jiao Tong University, China
SP-P7.5: DNN BASED SPEAKER EMBEDDING USING CONTENT INFORMATION FOR TEXT-DEPENDENT SPEAKER VERIFICATION
Subhadeep Dey, Idiap Research Institute and EPFL, Switzerland; Takafumi Koshinaka, NEC Corporation, Japan; Petr Motlicek, Srikanth Madikeri, Idiap Research Institute, Switzerland
SP-P7.6: A COMPLETE END-TO-END SPEAKER VERIFICATION SYSTEM USING DEEP NEURAL NETWORKS: FROM RAW SIGNALS TO VERIFICATION RESULT
Jee-Weon Jung, Hee-Soo Heo, Il-Ho Yang, Hye-Jin Shim, Ha-Jin Yu, University of Seoul, Korea (South)
SP-P7.7: DEEP NEURAL NETWORK BASED DISCRIMINATIVE TRAINING FOR I-VECTOR/PLDA SPEAKER VERIFICATION
Tieran Zheng, Jiqing Han, Guibin Zheng, Harbin Institute of Technology, China
SP-P7.8: ATTENTION-BASED MODELS FOR TEXT-DEPENDENT SPEAKER VERIFICATION
F. A. Rezaur Rahman Chowdhury, Washington State University, United States; Quan Wang, Ignacio Lopez Moreno, Li Wan, Google Inc., United States
SP-P7.9: EXPLORING SEQUENTIAL CHARACTERISTICS IN SPEAKER BOTTLENECK FEATURE FOR TEXT-DEPENDENT SPEAKER VERIFICATION
Liping Chen, Yong Zhao, Shi-Xiong Zhang, Jie Li, Guoli Ye, Frank Soong, Microsoft, China
SP-P7.10: FULL-INFO TRAINING FOR DEEP SPEAKER FEATURE LEARNING
Lantian Li, Zhiyuan Tang, Dong Wang, Thomas Fang Zheng, Tsinghua University, China
SP-P8.1: TRAINING SUPERVISED SPEECH SEPARATION SYSTEM TO IMPROVE STOI AND PESQ DIRECTLY
Hui Zhang, Xueliang Zhang, Guanglai Gao, Inner Mongolia University, China
SP-P8.2: MULTI-SCENARIO DEEP LEARNING FOR MULTI-SPEAKER SOURCE SEPARATION
Jeroen Zegers, Hugo Van hamme, KU Leuven, Belgium
SP-P8.3: EFFICIENT INTEGRATION OF FIXED BEAMFORMERS AND SPEECH SEPARATION NETWORKS FOR MULTI-CHANNEL FAR-FIELD SPEECH SEPARATION
Zhuo Chen, Takuya Yoshioka, Xiong Xiao, Jinyu Li, Mike Seltzer, Yifan Gong, Microsoft, United States
SP-P8.4: DEEP LEARNING BASED SPEECH BEAMFORMING
Kaizhi Qian, University of Illinois at Urbana-Champaign, United States; Yang Zhang, Shiyu Chang, IBM T.J. Watson Research Center, United States; Xuesong Yang, University of Illinois at Urbana-Champaign, United States; Dinei Florencio, Microsoft Research, United States; Mark Hasegawa-Johnson, University of Illinois at Urbana-Champaign, United States
SP-P8.5: SPEECH PREDICTION USING AN ADAPTIVE RECURRENT NEURAL NETWORK WITH APPLICATION TO PACKET LOSS CONCEALMENT
Reza Lotfidereshgi, Philippe Gournay, Universite de Sherbrooke, Canada
SP-P8.6: A CASA APPROACH TO DEEP LEARNING BASED SPEAKER-INDEPENDENT CO-CHANNEL SPEECH SEPARATION
Yuzhou Liu, DeLiang Wang, The Ohio State University, United States
SP-P8.7: RECURRENT NEURAL NETWORKS FOR COCHANNEL SPEECH SEPARATION IN REVERBERANT ENVIRONMENTS
Masood Delfarah, DeLiang Wang, The Ohio State University, United States
SP-P8.8: A STUDY OF TRAINING TARGETS FOR DEEP NEURAL NETWORK-BASED SPEECH ENHANCEMENT USING NOISE PREDICTION
Babafemi Odelowo, David Anderson, Georgia Institute of Technology, United States
SP-P8.9: ON ADVERSARIAL TRAINING AND LOSS FUNCTIONS FOR SPEECH ENHANCEMENT
Ashutosh Pandey, Deliang Wang, The Ohio State University, United States
SP-P8.10: SPEECH SEGMENT CLUSTERING FOR REAL-TIME EXEMPLAR-BASED SPEECH ENHANCEMENT
David Nesbitt, Danny Crookes, Ji Ming, Queen's University Belfast, United Kingdom
SP-P9.1: MODEL-BASED NOISE PSD ESTIMATION FROM SPEECH IN NON-STATIONARY NOISE
Jesper Kjær Nielsen, Mathew Shaji Kavalekalam, Mads Græsbøll Christensen, Aalborg University, Denmark; Jesper Boldt, GN ReSound, Denmark
SP-P9.2: EFFICIENT SUPER-WIDE BANDWIDTH EXTENSION USING LINEAR PREDICTION BASED ANALYSIS-SYNTHESIS
Pramod Bachhav, Massimiliano Todisco, Nicholas Evans, EURECOM, France
SP-P9.3: LATE REVERBERATION SUPPRESSION USING RECURRENT NEURAL NETWORKS WITH LONG SHORT-TERM MEMORY
Yan Zhao, DeLiang Wang, The Ohio State University, United States; Buye Xu, Tao Zhang, Starkey Hearing Technologies, United States
SP-P9.4: COMPLEX-VALUED GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR PHASE-INCORPORATING SPEECH ENHANCEMENT
Sih-Huei Chen, Yuan-Shan Lee, Jia-Ching Wang, National Central University, Taiwan
SP-P9.5: BLIND BANDWIDTH EXTENSION BASED ON CONVOLUTIONAL AND RECURRENT DEEP NEURAL NETWORKS
Konstantin Schmidt, Bernd Edler, International Audio Laboratories Erlangen, Germany
SP-P9.6: SPECTRO-TEMPORAL NEURAL FACTORIZATION FOR SPEECH DEREVERBERATION
Jen-Tzung Chien, Kuan-Ting Kuo, National Chiao Tung University, Taiwan
SP-P9.7: SPEECH DEREVERBERATION BASED ON INTEGRATED DEEP AND ENSEMBLE LEARNING ALGORITHM
Wei-Jen Lee, Syu-Siang Wang, Research Center for Information Technology Innovation, Academia Sinica, Taiwan; Fei Chen, Southern University of Science and Technology, China; Xugang Lu, National Institute of Information and Communications Technology, Japan; Shao-Yi Chien, National Taiwan University., Taiwan; Yu Tsao, Research Center for Information Technology Innovation, Academia Sinica, Taiwan
SP-P9.8: EXPLOITING EXPLICIT MEMORY INCLUSION FOR ARTIFICIAL BANDWIDTH EXTENSION
Pramod Bachhav, Massimiliano Todisco, Nicholas Evans, EURECOM, France
SP-P9.9: A STUDY OF NOISE PSD ESTIMATORS FOR SINGLE CHANNEL SPEECH ENHANCEMENT
Mathew Shaji Kavalekalam, Jesper Kjaer Nielsen, Mads Græsbøll Christensen, Aalborg University, Denmark; Jesper Bunsow Boldt, GN Hearing, Denmark
SP-P9.10: A SIMPLE CEPSTRAL DOMAIN DNN APPROACH TO ARTIFICIAL SPEECH BANDWIDTH EXTENSION
Johannes Abel, Maximilian Strake, Tim Fingscheidt, Technische Universitaet Braunschweig, Germany
SP-P10.1: SUPERVISED NOISE REDUCTION FOR MULTICHANNEL KEYWORD SPOTTING
Yiteng (Arden) Huang, Thad Hughes, Turaj Shabestary, Taylor Applebaum, Google Inc., United States
SP-P10.2: AN EXPERIMENTAL ANALYSIS OF THE POWER CONSUMPTION OF CONVOLUTIONAL NEURAL NETWORKS FOR KEYWORD SPOTTING
Raphael Tang, Weijie Wang, Zhucheng Tu, Jimmy Lin, University of Waterloo, Canada
SP-P10.3: DEEP RESIDUAL LEARNING FOR SMALL-FOOTPRINT KEYWORD SPOTTING
Raphael Tang, Jimmy Lin, University of Waterloo, Canada
SP-P10.4: TIME-DELAYED BOTTLENECK HIGHWAY NETWORKS USING A DFT FEATURE FOR KEYWORD SPOTTING
Jinxi Guo, University of California, Los Angeles, United States; Kenichi Kumatani, Ming Sun, Wu Minhua, Anirudh Raju, Nikko Strom, Arindam Mandal, Amazon, United States
SP-P10.5: MONOPHONE-BASED BACKGROUND MODELING FOR TWO-STAGE ON-DEVICE WAKE WORD DETECTION
Minhua Wu, Amazon, United States; Sankaran Panchapagesan, Google Inc., United States; Ming Sun, Jiacheng Gu, Ryan Thomas, Shiv Naga Prasad Vitaladevuni, Björn Hoffmeister, Arindam Mandal, Amazon, United States
SP-P10.6: 3-D CNN MODELS FOR FAR-FIELD MULTI-CHANNEL SPEECH RECOGNITION
Sriram Ganapathy, Indian Institute of Science, India; Vijayaditya Peddinti, Google Inc., United States
SP-P10.7: JOINT TRANSFER SUBSPACE LEARNING AND FEATURE SELECTION FOR CROSS-CORPUS SPEECH EMOTION RECOGNITION
Peng Song, Yantai University, China; Wenming Zheng, Southeast University, China; Shifeng Ou, Yantai University, China; Yun Jin, Southeast University, China; Wenming Ma, Yanwei Yu, Yantai University, China
SP-P10.8: LEARNING FILTERBANKS FROM RAW SPEECH FOR PHONE RECOGNITION
Neil Zeghidour, Facebook A.I. Research / ENS / INRIA, France; Nicolas Usunier, Iasonas Kokkinos, Facebook A.I. Research, France; Thomas Schatz, ENS/EHESS/INRIA, France; Gabriel Synnaeve, Facebook A.I. Research, France; Emmanuel Dupoux, ENS/EHESS/INRIA, France
SP-P10.9: MULTI-VIEW AUDIO-ARTICULATORY FEATURES FOR PHONETIC RECOGNITION ON RTMRI-TIMIT DATABASE
Ioannis Douros, Athanasios Katsamanis, Petros Maragos, National Technical University of Athens, Greece
SP-P10.10: ROLE OF PROSODIC FEATURES ON CHILDREN'S SPEECH RECOGNITION
Hemant Kumar Kathania, National Institute of Technology Sikkim, India; Syed Shahnawazuddin, National Institute of Technology Patna, India; Nagaraj Adiga, University of Crete, Greece; Waquar Ahmad, National Institute of Technology Sikkim, India
SP-P11.1: VOICE ACTIVITY DETECTION USING NEUROGRAMS
Wissam Jassim, Naomi Harte, ADAPT Center (Sigmedia), Ireland
SP-P11.3: DNN-BASED VOICE ACTIVITY DETECTION USING AUXILIARY SPEECH MODELS IN NOISY ENVIRONMENTS
Yuuki Tachioka, Denso IT Laboratory, Japan
SP-P11.4: USE OF PITCH CONTINUITY FOR ROBUST SPEECH ACTIVITY DETECTION
Yiwen Shao, Johns Hopkins University, United States; Qiguang Lin, Baihu Technology Co., Ltd., China
SP-P11.5: MULTICHANNEL SPEAKER ACTIVITY DETECTION FOR MEETINGS
Patrick Meyer, Rolf Jongebloed, Tim Fingscheidt, Technische Universitaet Braunschweig, Germany
SP-P11.6: COMBINING ACOUSTIC EMBEDDINGS AND DECODING FEATURES FOR END-OF-UTTERANCE DETECTION IN REAL-TIME FAR-FIELD SPEECH RECOGNITION SYSTEMS
Roland Maas, Ariya Rastrow, Chengyuan Ma, Guitang Lan, Kyle Goehner, Gautam Tiwari, Shaun Joseph, Björn Hoffmeister, Amazon, United States
SP-P11.7: TEMPORAL MODELING USING DILATED CONVOLUTION AND GATING FOR VOICE-ACTIVITY-DETECTION
Shuo-Yiin Chang, Bo Li, Gabor Simko, Tara Sainath, Anshuman Tripathi, Google Inc., United States; Aaron Oord, Oriol Vinyals, Google DeepMind, UK, United Kingdom
SP-P11.8: SINGLE CHANNEL TARGET SPEAKER EXTRACTION AND RECOGNITION WITH SPEAKER BEAM
Marc Delcroix, NTT Corporation, Japan; Katerina Zmolikova, Brno University of Technology, Czech Republic; Keisuke Kinoshita, Atsunori Ogawa, Tomohiro Nakatani, NTT Corporation, Japan
SP-P11.9: SOUND SOURCE SEPARATION USING PHASE DIFFERENCE AND RELIABLE MASK SELECTION
Chanwoo Kim, Google Speech, Korea (South); Anjali Menon, Carnegie Mellon University, United States; Michiel Bacchiani, Google Inc., United States; Richard Stern, Carnegie Mellon University, United States
SP-P11.10: FILTER-AND-CONVOLVE: A CNN BASED MULTICHANNEL COMPLEX CONCATENATION ACOUSTIC MODEL
Peidong Wang, DeLiang Wang, The Ohio State University, United States
SP-P12.1: STATISTICAL PHRASE/ACCENT COMMAND ESTIMATION ALGORITHM UTILIZING LINGUISTIC INFORMATION
Ryotaro Sato, Kunio Kashino, The University of Tokyo, Japan
SP-P12.2: NASAL SPEECH SOUNDS DETECTION USING CONNECTIONIST TEMPORAL CLASSIFICATION
Milos Cernak, Sibo Tong, Idiap Research Institute, Switzerland
SP-P12.3: SENSORY MAPPING ADAPTATION UNDER MULTIPLE TASK SCENARIOS
Ashwin Bellur, Mounya Elhilali, Johns Hopkins University, United States
SP-P12.4: ROBUST DETECTION OF GLOTTAL ACTIVITY USING UNWRAPPED PHASE ELECTROGLOTTOGRAPHIC SIGNAL
Tanumay Mandal, Krothapalli Sreenivasa Rao, Indian Institute of Technology Kharagpur, India
SP-P12.5: A TIME-WEIGHTED METHOD FOR PREDICTING THE INTELLIGIBILITY OF SPEECH IN THE PRESENCE OF INTERFERING SOUNDS
Mingjie Song, Peking University, China; Fei Chen, Southern University of Science and Technology, China; Xihong Wu, Jing Chen, Peking University, China
SP-P12.6: PERMUTATION INVARIANT TRAINING FOR SPEAKER-INDEPENDENT MULTI-PITCH TRACKING
Yuzhou Liu, DeLiang Wang, The Ohio State University, United States
SP-P13.1: MULTI-TASK AUTOENCODER FOR NOISE-ROBUST SPEECH RECOGNITION
Haoyi Zhang, Conggui Liu, Nakamasa Inoue, Koichi Shinoda, Tokyo Institute of Technology, Japan
SP-P13.2: NOISE ROBUST SPEECH RECOGNITION ON AURORA4 BY HUMANS AND MACHINES
Yanmin Qian, Tian Tan, Hu Hu, Qi Liu, Shanghai Jiao Tong University, China
SP-P13.3: SPECTRAL FEATURE MAPPING WITH MIMIC LOSS FOR ROBUST SPEECH RECOGNITION
Deblin Bagchi, Peter Plantinga, Adam Stiff, Eric Fosler-Lussier, The Ohio State University, United States
SP-P13.4: EXTRACTING DOMAIN INVARIANT FEATURES BY UNSUPERVISED LEARNING FOR ROBUST AUTOMATIC SPEECH RECOGNITION
Wei-Ning Hsu, James Glass, Massachusetts Institute of Technology, United States
SP-P13.5: MASK WEIGHTED STFT RATIOS FOR RELATIVE TRANSFER FUNCTION ESTIMATION AND ITS APPLICATION TO ROBUST ASR
Zhong-Qiu Wang, DeLiang Wang, The Ohio State University, United States
SP-P13.6: ROBUST RECOGNITION OF SPEECH WITH BACKGROUND MUSIC IN ACOUSTICALLY UNDER-RESOURCED SCENARIOS
Jiri Malek, Jindrich Zdansky, Petr Cerva, Technical University of Liberec, Czech Republic
SP-P13.7: SPECTRAL SMOOTHING BY VARIATIONAL MODE DECOMPOSITION AND ITS EFFECT ON NOISE AND PITCH ROBUSTNESS OF ASR SYSTEM
Ishwar Chandra Yadav, Syed Shahnawazuddin, National Institute of Technology Patna, India; D. Govind, Amrita University, India; Gayadhar Pradhan, National Institute of Technology Patna, India
SP-P13.8: ARTICULATORY INFORMATION AND MULTIVIEW FEATURES FOR LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION
Vikramjit Mitra, Apple, Inc., United States; Wen Wang, Chris Bartels, Horacio Franco, Dimitra Vergyri, SRI International, United States
SP-P13.9: ROBUST SPEECH RECOGNITION USING GENERATIVE ADVERSARIAL NETWORKS
Anuroop Sriram, Heewoo Jun, Yashesh Gaur, Sanjeev Satheesh, Baidu Research, United States
SP-P13.10: A SIMPLE AND EFFECTIVE FRAMEWORK FOR A PRIORI SNR ESTIMATION
Johannes Stahl, Pejman Mowlaee, Graz University of Technology, Austria
SP-P14.1: B-SPLINE PDF: A GENERALIZATION OF HISTOGRAMS TO CONTINUOUS DENSITY MODELS FOR GENERATIVE AUDIO NETWORKS
Ioannis Agiomyrgiannakis, Google Inc., United Kingdom
SP-P14.2: AN INVESTIGATION OF SUBBAND WAVENET VOCODER COVERING ENTIRE AUDIBLE FREQUENCY RANGE WITH LIMITED ACOUSTIC FEATURES
Takuma Okamoto, Kentaro Tachibana, National Institute of Information and Communications Technology, Japan; Tomoki Toda, Nagoya University, Japan; Yoshinori Shiga, Hisashi Kawai, National Institute of Information and Communications Technology, Japan
SP-P14.3: SAMPLERNN-BASED NEURAL VOCODER FOR STATISTICAL PARAMETRIC SPEECH SYNTHESIS
Yang Ai, Hong-Chuan Wu, Zhen-Hua Ling, University of Science and Technology of China, China
SP-P14.4: AN INVESTIGATION OF NOISE SHAPING WITH PERCEPTUAL WEIGHTING FOR WAVENET-BASED SPEECH GENERATION
Kentaro Tachibana, National Institute of Information and Communications Technology, Japan; Tomoki Toda, Nagoya University, Japan; Yoshinori Shiga, Hisashi Kawai, National Institute of Information and Communications Technology, Japan
SP-P14.5: MODELING-BY-GENERATION-STRUCTURED NOISE COMPENSATION ALGORITHM FOR GLOTTAL VOCODING SPEECH SYNTHESIS SYSTEM
Min-Jae Hwang, Yonsei University, Korea (South); Eunwoo Song, Naver Corp., Korea (South); Kyungguen Byun, Hong-Goo Kang, Yonsei University, Korea (South)
SP-P14.6: ON THE USE OF WAVENET AS A STATISTICAL VOCODER
Nagaraj Adiga, Vassilis Tsiaras, Yannis Stylianou, University of Crete, Greece
SP-P14.7: SPEECH WAVEFORM SYNTHESIS FROM MFCC SEQUENCES WITH GENERATIVE ADVERSARIAL NETWORKS
Lauri Juvela, Bajibabu Bollepalli, Aalto University, Finland; Xin Wang, National Institute of Informatics, Japan; Hirokazu Kameoka, NTT Corporation, Japan; Manu Airaksinen, Aalto University, Finland; Junichi Yamagishi, National Institute of Informatics, Japan; Paavo Alku, Aalto University, Finland
SP-P14.8: ON THE ANALYSIS OF TRAINING DATA FOR WAVENET-BASED SPEECH SYNTHESIS
Jakub Vit, Zdenek Hanzlicek, Jindrich Matousek, University of West Bohemia, Czech Republic
SP-P14.9: GMM-BASED ITERATIVE ENTROPY CODING FOR SPECTRAL ENVELOPES OF SPEECH AND AUDIO
Srikanth Korse, Fraunhofer IIS, Germany; Guillaume Fuchs, International Audio Laboratories, Friedrich-Alexander University (FAU), Erlangen, Germany, Fraunhofer IIS, Erlangen, Germany, Germany; Tom Baeckstroem, Aalto University, Helsinki, Germany
SP-P14.10: PERSONALIZED SPONTANEOUS SPEECH SYNTHESIS USING A SMALL-SIZED UNSEGMENTED SEMISPONTANEOUS SPEECH
Yi-Chin Huang, Feng Chia University, Taiwan; Chung-Hsien Wu, Yan-You Chen, Ming-Ge Shie, Jhing-Fa Wang, National Cheng Kung University, Taiwan
SP-P15.1: MEETING RECOGNITION WITH ASYNCHRONOUS DISTRIBUTED MICROPHONE ARRAY USING BLOCK-WISE REFINEMENT OF MASK-BASED MVDR BEAMFORMER
Shoko Araki, NTT Communication Science Laboratories, Japan; Nobutaka Ono, Tokyo Metropolitan University, Japan; Keisuke Kinoshita, Marc Delcroix, NTT Communication Science Laboratories, Japan
SP-P15.2: DEVELOPING FAR-FIELD SPEAKER SYSTEM VIA TEACHER-STUDENT LEARNING
Jinyu Li, Rui Zhao, Zhuo Chen, Changliang Liu, Xiong Xiao, Guoli Ye, Yifan Gong, Microsoft, United States
SP-P15.3: IMPROVING MULTICHANNEL SPEECH RECOGNITION WITH GENERALIZED CROSS CORRELATION INPUTS AND MULTITASK LEARNING
Yu Zhang, Wenjie Li, Pengyuan Zhang, Yonghong Yan, Institute of Acoustics, Chinese Academy of Sciences, China
SP-P15.4: ON SPATIAL FEATURES FOR SUPERVISED SPEECH SEPARATION AND ITS APPLICATION TO BEAMFORMING AND ROBUST ASR
Zhong-Qiu Wang, DeLiang Wang, The Ohio State University, United States
SP-P15.5: KNOWLEDGE TRANSFER IN PERMUTATION INVARIANT TRAINING FOR SINGLE-CHANNEL MULTI-TALKER SPEECH RECOGNITION
Tian Tan, Yanmin Qian, Shanghai Jiao Tong University, China; Dong Yu, Tencent AI Lab, Tencent, United States
SP-P15.6: BRIDGENETS: STUDENT-TEACHER TRANSFER LEARNING BASED ON RECURSIVE NEURAL NETWORKS AND ITS APPLICATION TO DISTANT SPEECH RECOGNITION
Jaeyoung Kim, Mostafa El-Khamy, Jungwon Lee, Samsung Semiconductor, Inc. USA, United States
SP-P15.7: INTERPRETING DNN OUTPUT LAYER ACTIVATIONS: A STRATEGY TO COPE WITH UNSEEN DATA IN SPEECH RECOGNITION
Vikramjit Mitra, Apple, Inc., United States; Horacio Franco, SRI International, United States
SP-P15.8: SPECTRAL DISTORTION MODEL FOR TRAINING PHASE-SENSITIVE DEEP-NEURAL NETWORKS FOR FAR-FIELD SPEECH RECOGNITION
Chanwoo Kim, Google Speech, Korea (South); Tara Sainath, Arun Narayanan, Ananya Misra, Rajeev Nongpiur, Michiel Bacchiani, Google Inc., United States
SP-P15.9: UNSUPERVISED BEAMFORMING BASED ON MULTICHANNEL NONNEGATIVE MATRIX FACTORIZATION FOR NOISY SPEECH RECOGNITION
Kazuki Shimada, Yoshiaki Bando, Masato Mimura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara, Kyoto University, Japan
SP-P15.10: MULTI-MICROPHONE NEURAL SPEECH SEPARATION FOR FAR-FIELD MULTI-TALKER SPEECH RECOGNITION
Takuya Yoshioka, Hakan Erdogan, Zhuo Chen, Fil Alleva, Microsoft, United States
SP-P16.1: JOINT GENDER-, TONE-, VOWEL- CLASSIFICATION VIA NOVEL HIERARCHICAL CLASSIFICATION FOR ANNOTATION OF MONOSYLLABIC MANDARIN WORD TOKENS
Saurabh Garg, Pacific Parkinson’s Research Centre, Canada; Ghassan Hamarneh, Medical Image Analysis Lab, Canada; Allard Jongman, Joan Sereno, KU Phonetics and Psycholinguistics Lab, United States; Yue Wang, Language and Brain Lab, Canada
SP-P16.2: TRANSCRIBING LYRICS FROM COMMERCIAL SONG AUDIO: THE FIRST STEP TOWARDS SINGING CONTENT PROCESSING
Che-Ping Tsai, Yi-Lin Tuan, Lin-Shan Lee, National Taiwan University, Taiwan
SP-P16.3: TOWARDS END-TO-END SPOKEN LANGUAGE UNDERSTANDING
Dmitriy Serdyuk, Facebook, Montreal Institute for Learning Algorithms, United States; Yongqiang Wang, Christian Fuegen, Anuj Kumar, Baiyang Liu, Facebook, United States; Yoshua Bengio, Montreal Institute for Learning Algorithms, United States
SP-P16.4: REINFORCEMENT LEARNING OF SPEECH RECOGNITION SYSTEM BASED ON POLICY GRADIENT AND HYPOTHESIS SELECTION
Taku Kato, Takahiro Shinozaki, Tokyo Institute of Technology,, Japan
SP-P16.5: PREDICTING TONGUE MOTION IN UNLABELED ULTRASOUND VIDEO USING 3D CONVOLUTIONAL NEURAL NETWORKS
Chengrui Wu, Shicheng Chen, Guorui Sheng, Tianjin University, China; Pierre Roussel, ESPCI ParisTech, France; Bruce Denby, Tianjin University, China
SP-P16.6: CROSS-LINGUAL AND MULTILINGUAL SPEECH EMOTION RECOGNITION ON ENGLISH AND FRENCH
Michael Neumann, Ngoc Thang Vu, University of Stuttgart, Germany
SP-P16.7: END-TO-END MULTIMODAL SPEECH RECOGNITION
Shruti Palaskar, Ramon Sanabria, Florian Metze, Carnegie Mellon University, United States
SP-P16.8: VAE-SPACE: DEEP GENERATIVE MODEL OF VOICE FUNDAMENTAL FREQUENCY CONTOURS
Kou Tanaka, Hirokazu Kameoka, NTT Corporation, Japan; Kazuho Morikawa, Nagoya University, Japan
SP-P16.9: A CONVERSATIONAL NEURAL LANGUAGE MODEL FOR SPEECH RECOGNITION IN DIGITAL ASSISTANTS
Eunjoon Cho, Shankar Kumar, Google Inc., United States
SP-P16.10: ANALYSIS OF MULTILINGUAL BLSTM ACOUSTIC MODEL ON LOW AND HIGH RESOURCE LANGUAGES
Martin Karafiat, Murali Karthick Baskar, Karel Vesely, Frantisek Grezl, Lukas Burget, Jan Cernocky, Brno University of Technology, Czech Republic
SP-P17.1: ADVANCING ACOUSTIC-TO-WORD CTC MODEL
Jinyu Li, Guoli Ye, Microsoft, United States; Amit Das, University of Illinois at Urbana-Champaign, United States; Rui Zhao, Yifan Gong, Microsoft, United States
SP-P17.2: LEARNING HARD ALIGNMENTS WITH VARIATIONAL INFERENCE
Dieterich Lawson, Chung-Cheng Chiu, George Tucker, Colin Raffel, Kevin Swersky, Navdeep Jaitly, Google Brain, United States
SP-P17.3: ACOUSTIC-TO-WORD ATTENTION-BASED MODEL COMPLEMENTED WITH CHARACTER-LEVEL CTC-BASED MODEL
Sei Ueno, Hirofumi Inaguma, Masato Mimura, Tatsuya Kawahara, Graduate School of Informatics, Kyoto University, Japan
SP-P17.4: AN INVESTIGATION OF A KNOWLEDGE DISTILLATION METHOD FOR CTC ACOUSTIC MODELS
Ryoichi Takashima, Sheng Li, Hisashi Kawai, National Institute of Information and Communications Technology, Japan
SP-P17.5: A STUDY OF ALL-CONVOLUTIONAL ENCODERS FOR CONNECTIONIST TEMPORAL CLASSIFICATION
Kalpesh Krishna, Indian Institute of Technology Bombay, India; Liang Lu, Microsoft, United States; Kevin Gimpel, Karen Livescu, Toyota Technological Institute at Chicago, United States
SP-P17.6: IMPROVING END-TO-END SPEECH RECOGNITION WITH POLICY LEARNING
Yingbo Zhou, Caiming Xiong, Richard Socher, Salesforce Research, United States
SP-P17.7: AN ANALYSIS OF INCORPORATING AN EXTERNAL LANGUAGE MODEL INTO A SEQUENCE-TO-SEQUENCE MODEL
Anjuli Kannan, Yonghui Wu, Patrick Nguyen, Tara Sainath, Zhifeng Chen, Rohit Prabhavalkar, Google Inc., United States
SP-P17.8: SEQUENCE-TO-SEQUENCE ASR OPTIMIZATION VIA REINFORCEMENT LEARNING
Andros Tjandra, Sakriani Sakti, Satoshi Nakamura, Nara Institute of Science and Technology, Japan
SP-P17.9: SIMULTANEOUS SPEECH RECOGNITION AND ACOUSTIC EVENT DETECTION USING AN LSTM-CTC ACOUSTIC MODEL AND A WFST DECODER
Hiroshi Fujimura, Manabu Nagao, Takashi Masuko, Toshiba, Japan
SP-P17.10: SEQUENCE TRAINING OF ENCODER-DECODER MODEL USING POLICY GRADIENT FOR END-TO-END SPEECH RECOGNITION
Shigeki Karita, Atsunori Ogawa, Marc Delcroix, Tomohiro Nakatani, NTT Communication Science Laboratories, Japan
SP-P18.1: HYBRID LSTM-FSMN NETWORKS FOR ACOUSTIC MODELING
Asa Oines, Eugene Weinstein, Pedro Moreno, Google Inc., United States
SP-P18.2: HIGH ORDER RECURRENT NEURAL NETWORKS FOR ACOUSTIC MODELLING
Chao Zhang, Philip Woodland, University of Cambridge, United Kingdom
SP-P18.3: COMPLEX EVOLUTION RECURRENT NEURAL NETWORKS
Izhak Shafran, Tom Bagby, R. J. Skerry-Ryan, Google Inc., United States
SP-P18.4: NO NEED FOR A LEXICON? EVALUATING THE VALUE OF THE PRONUNCIATION LEXICA IN END-TO-END MODELS
Tara Sainath, Rohit Prabhavalkar, Shankar Kumar, Seungji Lee, Anjuli Kannan, David Rybach, Vlad Schogol, Patrick Nguyen, Bo Li, Yonghui Wu, Zhifeng Chen, Chung-Cheng Chiu, Google Inc., United States
SP-P18.5: IMPROVING THE PERFORMANCE OF ONLINE NEURAL TRANSDUCER MODELS
Tara Sainath, Chung-Cheng Chiu, Rohit Prabhavalkar, Anjuli Kannan, Yonghui Wu, Patrick Nguyen, Zhifeng Chen, Google Inc., United States
SP-P18.6: DEEP-FSMN FOR LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION
Shiliang Zhang, Ming Lei, Zhijie Yan, Alibaba Inc., China; Li-Rong Dai, NELSLIP, USTC, China
SP-P18.7: A TIME-RESTRICTED SELF-ATTENTION LAYER FOR ASR
Daniel Povey, Hossein Hadian, Pegah Ghahremani, Ke Li, Sanjeev Khudanpur, Johns Hopkins University, United States
SP-P18.8: DROPOUT APPROACHES FOR LSTM BASED SPEECH RECOGNITION SYSTEMS
Jayadev Billa, University of Southern California, United States
SP-P18.9: SPEECH-TRANSFORMER: A NO-RECURRENCE SEQUENCE-TO-SEQUENCE MODEL FOR SPEECH RECOGNITION
Linhao Dong, Shuang Xu, Bo Xu, Institute of Automation, Chinese Academy of Sciences, China
SP-P18.10: PYKALDI: A PYTHON WRAPPER FOR KALDI
Dogan Can, Victor Martinez, Pavlos Papadopoulos, Shrikanth Narayanan, University of Southern California, United States
SP-P19.1: ASR PERFORMANCE PREDICTION ON UNSEEN BROADCAST PROGRAMS USING CONVOLUTIONAL NEURAL NETWORKS
Zied Elloumi, LNE, France; Laurent Besacier, LIG, France; Olivier Galibert, Juliette Kahn, LNE, France; Benjamin Lecouteux, LIG, France
SP-P19.2: PHONETIC AND GRAPHEMIC SYSTEMS FOR MULTI-GENRE BROADCAST TRANSCRIPTION
Yu Wang, Xie Chen, Mark Gales, Anton Ragni, Jeremy Wong, University of Cambridge, United Kingdom
SP-P19.3: ACCELERATING RECURRENT NEURAL NETWORK LANGUAGE MODEL BASED ONLINE SPEECH RECOGNITION SYSTEM
Kyungmin Lee, Chiyoun Park, Namhoon Kim, Jaewon Lee, Samsung Electronics, Korea (South)
SP-P19.4: CTC LOSS FUNCTION WITH A UNIT-LEVEL AMBIGUITY PENALTY
Ryoichi Takashima, Sheng Li, Hisashi Kawai, National Institute of Information and Communications Technology, Japan
SP-P19.5: APPLICATION OF PROGRESSIVE NEURAL NETWORKS FOR MULTI-STREAM WFST COMBINATION IN ONE-PASS DECODING
Sirui Xu, Eric Fosler-Lussier, The Ohio State University, United States
SP-P19.6: OUT-OF-VOCABULARY WORD RECOVERY USING FST-BASED SUBWORD UNIT CLUSTERING IN A HYBRID ASR SYSTEM
Ekaterina Egorova, Lukas Burget, Brno University of Technology, Czech Republic
SP-P19.7: CROSS-LINGUAL PHONEME MAPPING FOR LANGUAGE ROBUST CONTEXTUAL SPEECH RECOGNITION
Ami Patel, David Li, Eunjoon Cho, Petar Aleksic, Google Inc., United States
SP-P19.8: A PRUNED RNNLM LATTICE-RESCORING ALGORITHM FOR AUTOMATIC SPEECH RECOGNITION
Hainan Xu, Tongfei Chen, Dongji Gao, Yiming Wang, Ke Li, Johns Hopkins University, United States; Nagendra Goel, Go-Vivace Inc, United States; Yishay Carmiel, IntelligentWire, United States; Daniel Povey, Sanjeev Khudanpur, Johns Hopkins University, United States
SP-P19.9: THE MICROSOFT 2017 CONVERSATIONAL SPEECH RECOGNITION SYSTEM
Wayne Xiong, Lingfeng Wu, Fil Alleva, Jasha Droppo, Xuedong Huang, Andreas Stolcke, Microsoft, United States
SP-P19.10: BAYESIAN MODELS FOR UNIT DISCOVERY ON A VERY LOW RESOURCE LANGUAGE
Lucas Ondel, Brno University of Technology, Czech Republic; Pierre Godard, LIMSI, France; Laurent Besacier, Université Grenoble Alpes, France; Elin Larsen, Laboratory of Cognitive Science and Psycholinguistics, France; Mark Hasegawa-Johnson, University of Illinois, United States; Odette Scharenborg, Centre for Language Studies, Radboud University,, Netherlands; Emmanuel Dupoux, Laboratory of Cognitive Science and Psycholinguistics, France; Lukas Burget, Brno University of Technology, Czech Republic; François Yvon, LIMSI, France; Sanjeev Khudanpur, Johns Hopkins University, United States
SP-P20.1: FAST ADAPTATION ON DEEP MIXTURE GENERATIVE NETWORK BASED ACOUSTIC MODELING
Wen Ding, Tian Tan, Yanmin Qian, Shanghai Jiao Tong University, China
SP-P20.2: ADVERSARIAL TEACHER-STUDENT LEARNING FOR UNSUPERVISED DOMAIN ADAPTATION
Zhong Meng, Georgia Institute of Technology, United States; Jinyu Li, Yifan Gong, Microsoft, United States; Biing-Hwang (Fred) Juang, Georgia Institute of Technology, United States
SP-P20.3: LEARNING EFFECTIVE FACTORIZED HIDDEN LAYER BASES USING STUDENT-TEACHER TRAINING FOR LSTM ACOUSTIC MODEL ADAPTATION
Lahiru Samarakoon, Brian Mak, Hong Kong University of Science and Technology, China; Khe Chai Sim, Google Inc., United States
SP-P20.4: ADVERSARIAL LEARNING OF RAW SPEECH FEATURES FOR DOMAIN INVARIANT SPEECH RECOGNITION
Aditay Tripathi, Indraprastha Institute of Information Technology, India; Aanchan Mohan, Synaptitude Brain Health, Canada; Saket Anand, Indraprastha Institute of Information Technology, India; Maneesh Singh, Verisk Analytics, United States
SP-P20.5: SEQUENCE DISTILLATION FOR PURELY SEQUENCE TRAINED ACOUSTIC MODELS
Naoyuki Kanda, Yusuke Fujita, Kenji Nagamatsu, Hitachi Ltd., Japan
SP-P20.6: SPEAKER-INVARIANT TRAINING VIA ADVERSARIAL LEARNING
Zhong Meng, Georgia Institute of Technology, United States; Jinyu Li, Zhuo Chen, Yong Zhao, Vadim Mazalov, Yifan Gong, Microsoft, United States; Biing-Hwang (Fred) Juang, Georgia Institute of Technology, United States
SP-P20.7: ADAPTIVE PERMUTATION INVARIANT TRAINING WITH AUXILIARY INFORMATION FOR MONAURAL MULTI-TALKER SPEECH RECOGNITION
Xuankai Chang, Yanmin Qian, Shanghai Jiao Tong University, China; Dong Yu, Tencent AI Lab, Tencent, China
SP-P20.8: RECOGNIZING ZERO-RESOURCED LANGUAGES BASED ON MISMATCHED MACHINE TRANSCRIPTIONS
Wenda Chen, Mark Hasegawa-Johnson, Backman Institute, UIUC, United States; Nancy F. Chen, Institute for Infocomm Research, A*STAR, Singapore
SP-P20.9: DOMAIN AND SPEAKER ADAPTATION FOR CORTANA SPEECH RECOGNITION
Yong Zhao, Jinyu Li, Shi-Xiong Zhang, Liping Chen, Yifan Gong, Microsoft, United States
SP-P20.10: JOINT MODELING OF ACCENTS AND ACOUSTICS FOR MULTI-ACCENT SPEECH RECOGNITION
Xuesong Yang, University of Illinois at Urbana-Champaign, United States; Kartik Audhkhasi, Andrew Rosenberg, Samuel Thomas, Bhuvana Ramabhadran, IBM T.J. Watson Research Center, United States; Mark Hasegawa-Johnson, University of Illinois at Urbana-Champaign, United States
SP-P21.1: AUTOMATIC SPEECH ASSESSMENT FOR APHASIC PATIENTS BASED ON SYLLABLE-LEVEL EMBEDDING AND SUPRA-SEGMENTAL DURATION FEATURES
Ying Qin, Tan Lee, The Chinese University of Hong Kong, China; Anthony Pak Hin Kong, University of Central Florida, United States
SP-P21.2: LINEAR CLASSIFICATION IN SPEECH-BASED OBJECTIVE DIFFERENTIAL DIAGNOSIS OF PARKINSONISM
Gongfeng Li, Khalid Daoudi, INRIA, France; Jiri Klempir, Charles University, Czech Republic; Jan Rusz, Czech Technical University in Prague, Czech Republic
SP-P21.3: UNOBTRUSIVE MONITORING OF SPEECH IMPAIRMENTS OF PARKINSON'S DISEASE PATIENTS THROUGH MOBILE DEVICES
Tomas Arias-Vergara, Juan-Camilo Vasquez-Correa, Juan-Rafael Orozco-Arroyave, Universidad de Antioquia, Colombia; Philipp Klumpp, Elmar Noeth, Friedrich-Alexander-Universitat Erlangen-Nurnberg, Germany
SP-P21.4: SIMULATING DYSARTHRIC SPEECH FOR TRAINING DATA AUGMENTATION IN CLINICAL SPEECH APPLICATIONS
Yishan Jiao, Ming Tu, Visar Berisha, Julie Liss, Arizona State University, United States
SP-P21.5: COMPARISON OF SPEECH TASKS FOR AUTOMATIC CLASSIFICATION OF PATIENTS WITH AMYOTROPHIC LATERAL SCLEROSIS AND HEALTHY SUBJECTS
Aravind Illa, Deep Patel, Indian Institute of Science, India; Yamini Bk, Meera Ss, Shivashankar N, Preethish-Kumar Veeramani, Seena Vengalil, Kiran Polavarapu, Saraswati Nashi, Atchayaram Nalini, NIMHANS, India; Prasanta Kumar Ghosh, Indian Institute of Science, India
SP-P21.6: A TRIPLET-LOSS EMBEDDED DEEP REGRESSOR NETWORK FOR ESTIMATING BLOOD PRESSURE CHANGES USING PROSODIC FEATURES
Hao-Chun Yang, Fu-Sheng Tsai, National Tsing Hua University, Taiwan; Yi-Ming Weng, Tao-Yuan General Hospital, Taiwan; Chip-Jin Ng, Chang Gung Memorial Hospital, Taiwan; Chi-Chun Lee, National Tsing Hua University, Taiwan
SP-P21.7: PREDICTION OF NEGATIVE SYMPTOMS OF SCHIZOPHRENIA FROM EMOTION RELATED LOW-LEVEL SPEECH SIGNALS
Debsubhra Chakraborty, Nanyang Technological University, Singapore; Zixu Yang, Institute of Mental Health, Singapore; Yasir Tahir, Tomasz Maszczyk, Justin Dauwels, Nadia Thalmann, Jianmin Zheng, Nanyang Technological University, Singapore; Yogeswari Maniam, Nur Amirah, Bhing Leet Tan, Jimmy Lee, Institute of Mental Health, Singapore
SP-P21.8: LEARNING LEXICAL COHERENCE REPRESENTATION USING LSTM FORGET GATE FOR CHILDREN WITH AUTISM SPECTRUM DISORDER DURING STORY-TELLING
Yu-Shuo Liu, Chin-Po Chen, National Tsing Hua University, Taiwan; Susan Shur-Fen Gau, National Taiwan University Hospital and College of Medicine, Taiwan; Chi-Chun Lee, National Tsing Hua University, Taiwan
SP-P21.9: ARTICULATION ENTROPY: AN UNSUPERVISED MEASURE OF ARTICULATORY PRECISION
Yishan Jiao, Visar Berisha, Julie Liss, Arizona State University, United States; Sih-Chiao Hsu, Erika Levy, Columbia University, United States; Megan McAuliffe, University of Canterbury, New Zealand
HLT-L1.1: (ALMOST) ZERO-SHOT CROSS-LINGUAL SPOKEN LANGUAGE UNDERSTANDING
Shyam Upadhyay, University of Pennsylvania, United States; Manaal Faruqui, Gokhan Tur, Dilek Hakkani-Tur, Google Research, United States; Larry Heck, Samsung Research, United States
HLT-L1.2: NEURAL CONFNET CLASSIFICATION: FULLY NEURAL NETWORK BASED SPOKEN UTTERANCE CLASSIFICATION USING WORD CONFUSION NETWORKS
Ryo Masumura, Yusuke Ijima, Taichi Asami, Hirokazu Masataki, Ryuichiro Higashinaka, NTT Corporation, Japan
HLT-L1.3: DOMAIN INDEPENDENT KEY TERM EXTRACTION FROM SPOKEN CONTENT BASED ON CONTEXT AND TERM LOCATION INFORMATION IN THE UTTERANCES
Hsien-Chin Lin, Chi-Yu Yang, Hung-Yi Lee, Lin-Shan Lee, National Taiwan University, Taiwan
HLT-L1.4: SEMI-SUPERVISED TRAINING USING ADVERSARIAL MULTI-TASK LEARNING FOR SPOKEN LANGUAGE UNDERSTANDING
Ouyu Lan, Su Zhu, Kai Yu, Shanghai Jiao Tong University, China
HLT-L1.5: A JOINT MULTI-TASK LEARNING FRAMEWORK FOR SPOKEN LANGUAGE UNDERSTANDING
Changliang Li, Cunliang Kong, Yan Zhao, Institute of Automation, Chinese Academy of Sciences, China
HLT-L1.6: INCORPORATING ASR ERRORS WITH ATTENTION-BASED, JOINTLY TRAINED RNN FOR INTENT DETECTION AND SLOT FILLING
Raphael Schumann, Heidelberg University, Germany; Pongtep Angkititrakul, Robert Bosch LLC, United States
HLT-L2.1: TOWARDS SCALABLE INFORMATION-SEEKING MULTI-DOMAIN DIALOGUE
Alexandros Papangelis, Margarita Kotti, Yannis Stylianou, Toshiba Research Europe, United Kingdom
HLT-L2.2: BENCHMARKING UNCERTAINTY ESTIMATES WITH DEEP REINFORCEMENT LEARNING FOR DIALOGUE POLICY OPTIMISATION
Christopher Tegho, Pawel Budzianowski, Milica Gasic, University of Cambridge, United Kingdom
HLT-L2.3: POLICY ADAPTATION FOR DEEP REINFORCEMENT LEARNING-BASED DIALOGUE MANAGEMENT
Lu Chen, Cheng Chang, Zhi Chen, Bowen Tan, Shanghai Jiao Tong University, China; Milica Gasic, Cambridge University, United Kingdom; Kai Yu, Shanghai Jiao Tong University, China
HLT-L2.4: RADMM: RECURRENT ADAPTIVE MIXTURE MODEL WITH APPLICATIONS TO DOMAIN ROBUST LANGUAGE MODELING
Kazuki Irie, RWTH Aachen University, Germany; Shankar Kumar, Michael Nirschl, Hank Liao, Google Inc., United States
HLT-L2.5: LANGUAGE MODEL DOMAIN ADAPTATION VIA RECURRENT NEURAL NETWORKS WITH DOMAIN-SHARED AND DOMAIN-SPECIFIC REPRESENTATIONS
Tsuyoshi Morioka, Naohiro Tawara, Tetsuji Ogawa, Waseda University, Japan; Atsunori Ogawa, Tomoharu Iwata, NTT Communication Science Laboratories, Japan; Tetsunori Kobayashi, Waseda University, Japan
HLT-L2.6: WHOLE SENTENCE NEURAL LANGUAGE MODELS
Yinghui Huang, Abhinav Sethy, Kartik Audhkhasi, Bhuvana Ramabhadran, IBM, United States
HLT-P1.1: MODELING NON-LINGUISTIC CONTEXTUAL SIGNALS IN LSTM LANGUAGE MODELS VIA DOMAIN ADAPTATION
Min Ma, Graduate Center, United States; Shankar Kumar, Fadi Biadsy, Michael Nirschl, Tomas Vykruta, Pedro Moreno, Google Inc., United States
HLT-P1.2: RESCORING N-BEST SPEECH RECOGNITION LIST BASED ON ONE-ON-ONE HYPOTHESIS COMPARISON USING ENCODER-CLASSIFIER MODEL
Atsunori Ogawa, Marc Delcroix, Shigeki Karita, Tomohiro Nakatani, NTT Corporation, Japan
HLT-P1.3: PREDICTION OF LSTM-RNN FULL CONTEXT STATES AS A SUBTASK FOR N-GRAM FEEDFORWARD LANGUAGE MODELS
Kazuki Irie, Zhihong Lei, Ralf Schlueter, Hermann Ney, RWTH Aachen University, Germany
HLT-P1.4: NEURAL NETWORK LANGUAGE MODELING WITH LETTER-BASED FEATURES AND IMPORTANCE SAMPLING
Hainan Xu, Ke Li, Yiming Wang, Johns Hopkins University, United States; Jian Wang, Toutiao AI Lab, China; Shiyin Kang, Tencent AI Lab, China; Xie Chen, Cambridge University, United Kingdom; Daniel Povey, Sanjeev Khudanpur, Johns Hopkins University, United States
HLT-P1.5: LIMITED-MEMORY BFGS OPTIMIZATION OF RECURRENT NEURAL NETWORK LANGUAGE MODELS FOR SPEECH RECOGNITION
Xunying Liu, Shansong Liu, The Chinese University of Hong Kong, China; Jinze Sha, Cambridge University Engineering Department, China; Jianwei Yu, The Chinese University of Hong Kong, China; Zhiyuan Xu, Xie Chen, Cambridge University Engineering Department, China; Helen Meng, The Chinese University of Hong Kong, China
HLT-P1.6: FAST OOV WORDS INCORPORATION USING STRUCTURED WORD EMBEDDINGS FOR NEURAL NETWORK LANGUAGE MODEL
Ruinian Chen, Kai Yu, Shanghai Jiao Tong University, China
HLT-P1.7: GEOGRAPHIC LANGUAGE MODELS FOR AUTOMATIC SPEECH RECOGNITION
Xiaoqiang Xiao, Hong Chen, Mark Zylak, Daniela Sosa, Suma Desu, Mahesh Krishnamoorthy, Daben Liu, Matthias Paulik, Yuchen Zhang, Apple, Inc., United States
HLT-P1.8: ENTROPY BASED PRUNING OF BACKOFF MAXENT LANGUAGE MODELS WITH CONTEXTUAL FEATURES
Tongzhou Chen, Georgia Institute of Technology, United States; Diamantino Caseiro, Pat Rondon, Google Inc., United States
HLT-P1.9: LEARNING NEURAL TRANS-DIMENSIONAL RANDOM FIELD LANGUAGE MODELS WITH NOISE-CONTRASTIVE ESTIMATION
Bin Wang, Zhijian Ou, Tsinghua University, China
HLT-P2.1: TRACKING OF ENRICHED DIALOG STATES FOR FLEXIBLE CONVERSATIONAL INFORMATION ACCESS
Yinpei Dai, Zhijian Ou, Dawei Ren, Pengfei Yu, Tsinghua University, China
HLT-P2.2: ATTENTION-BASED DIALOG STATE TRACKING FOR CONVERSATIONAL INTERVIEW COACHING
Ming-Hsiang Su, Chung-Hsien Wu, Kun-Yi Huang, Chu-Kwang Chen, National Cheng Kung University, Taiwan
HLT-P2.4: ADVERSARIAL ADVANTAGE ACTOR-CRITIC MODEL FOR TASK-COMPLETION DIALOGUE POLICY LEARNING
Baolin Peng, The Chinese University of Hong Kong, China; Xiujun Li, Jianfeng Gao, Jingjing Liu, Microsoft Research Redmond, United States; Yun-Nung Chen, National Taiwan University, Taiwan; Kam-Fai Wong, The Chinese University of Hong Kong, China
HLT-P2.5: END-TO-END DYNAMIC QUERY MEMORY NETWORK FOR ENTITY-VALUE INDEPENDENT TASK-ORIENTED DIALOG
Chien-Sheng Wu, Andrea Madotto, Genta Winata, Pascale Fung, The Hong Kong University of Science and Technology, Hong Kong SAR of China
HLT-P2.6: IMPROVING END-OF-TURN DETECTION IN SPOKEN DIALOGUES BY DETECTING SPEAKER INTENTIONS AS A SECONDARY TASK
Zakaria Aldeneh, University of Michigan, United States; Dimitrios Dimitriadis, Microsoft, United States; Emily Mower Provost, University of Michigan, United States
HLT-P2.7: SCALABLE SENTIMENT FOR SEQUENCE-TO-SEQUENCE CHATBOT RESPONSE WITH PERFORMANCE ANALYSIS
Chih-Wei Lee, Yau-Shian Wang, Tsung-Yuan Hsu, Kuan-Yu Chen, Hung-Yi Lee, Lin-Shan Lee, National Taiwan University, Taiwan
HLT-P2.8: NOVEL REALIZATIONS OF SPEECH-DRIVEN HEAD MOVEMENTS WITH GENERATIVE ADVERSARIAL NETWORKS
Najmeh Sadoughi, Carlos Busso, University of Texas at Dallas, United States
HLT-P2.9: CONVOLUTIONAL NEURAL NETWORKS AND MULTITASK STRATEGIES FOR SEMANTIC MAPPING OF NATURAL LANGUAGE INPUT TO A STRUCTURED DATABASE
Mandy Korpusik, James Glass, Massachusetts Institute of Technology, United States
HLT-P3.1: ROBUST SPOKEN LANGUAGE UNDERSTANDING WITH UNSUPERVISED ASR-ERROR ADAPTATION
Su Zhu, Ouyu Lan, Kai Yu, Shanghai Jiao Tong University, China
HLT-P3.2: PSEUDO-SUPERVISED APPROACH FOR TEXT CLUSTERING BASED ON CONSENSUS ANALYSIS
Peixin Chen, Wu Guo, Li-Rong Dai, Zhen-Hua Ling, University of Science and Technology of China, China
HLT-P3.3: SPOKEN LANGUAGE UNDERSTANDING WITHOUT SPEECH RECOGNITION
Yuan-Ping Chen, University of California, Santa Cruz, United States; Ryan Price, Srinivas Bangalore, Interactions, LLC., United States
HLT-P3.4: LEXICO-ACOUSTIC NEURAL-BASED MODELS FOR DIALOG ACT CLASSIFICATION
Daniel Ortega, Ngoc Thang Vu, University of Stuttgart, Germany
HLT-P3.5: JOINT VERIFICATION-IDENTIFICATION IN END-TO-END MULTI-SCALE CNN FRAMEWORK FOR TOPIC IDENTIFICATION
Raghavendra Pappagari, Jesus Villalba, Najim Dehak, Johns Hopkins University, United States
HLT-P3.6: ATTENTION-BASED LSTM FOR PSYCHOLOGICAL STRESS DETECTION FROM SPOKEN LANGUAGE USING DISTANT SUPERVISION
Genta Indra Winata, Onno Pepijn Kampman, Pascale Fung, Hong Kong University of Science and Technology, China
HLT-P3.7: AN ENSEMBLE FRAMEWORK OF VOICE-BASED EMOTION RECOGNITION SYSTEM FOR FILMS AND TV PROGRAMS
Fei Tao, The University of Texas at Dallas, United States; Gang Liu, Alibaba Group (U.S.) Inc., United States; Qingen Zhao, Alibaba Inc., China
HLT-P3.8: AN END-TO-END APPROACH TO JOINT SOCIAL SIGNAL DETECTION AND AUTOMATIC SPEECH RECOGNITION
Hirofumi Inaguma, Masato Mimura, Koji Inoue, Kazuyoshi Yoshii, Tatsuya Kawahara, Graduate School of Informatics, Kyoto University, Japan
HLT-P3.9: VISUAL-ONLY RECOGNITION OF NORMAL, WHISPERED AND SILENT SPEECH
Stavros Petridis, Jie Shen, Doruk Cetin, Maja Pantic, Imperial College London, United Kingdom
HLT-P3.10: END-TO-END AUTOMATIC SPEECH TRANSLATION OF AUDIOBOOKS
Alexandre Berard, Laurent Besacier, Alican Kocabiyikoglu, Université Grenoble Alpes, France; Olivier Pietquin, University Lille, France
HLT-P4.1: NON-NATIVE CHILDREN SPEECH RECOGNITION THROUGH TRANSFER LEARNING
Marco Matassoni, Roberto Gretter, Daniele Falavigna, Diego Giuliani, Fondazione Bruno Kessler, Italy
HLT-P4.2: END-TO-END NEURAL NETWORK BASED AUTOMATED SPEECH SCORING
Lei Chen, Liulishuo, United States; Jidong Tao, Midea American Corporation, United States; Shabnam Ghaffarzadegan, Robert Bosch Corporation, United States; Yao Qian, Educational Testing Service (ETS), United States
HLT-P4.3: EFFICIENT LEARNING OF ARTICULATORY MODELS BASED ON MULTI-LABEL TRAINING AND LABEL CORRECTION FOR PRONUNCIATION LEARNING
Richeng Duan, Tatsuya Kawahara, Masatake Dantsuji, Hiroaki Nanjo, Kyoto University, Japan
HLT-P4.4: UNSUPERVISED DISCOVERY OF AN EXTENDED PHONEME SET IN L2 ENGLISH SPEECH FOR MISPRONUNCIATION DETECTION AND DIAGNOSIS
Shaoguang Mao, Tsinghua University, China; Xu Li, Kun Li, The Chinese University of Hong Kong, China; Zhiyong Wu, Tsinghua University, China; Xunying Liu, Helen Meng, The Chinese University of Hong Kong, China
HLT-P4.5: IMPROVING MANDARIN TONE MISPRONUNCIATION DETECTION FOR NON-NATIVE LEARNERS WITH SOFT-TARGET TONE LABELS AND BLSTM-BASED DEEP MODELS
Wei Li, Georgia Institute of Technology, United States; Nancy F. Chen, Institute for Infocomm Research, Singapore; Sabato Marco Siniscalchi, Kore University of Enna, Italy; Chin-Hui Lee, Georgia Institute of Technology, United States
HLT-P4.6: APPLYING MULTITASK LEARNING TO ACOUSTIC-PHONEMIC MODEL FOR MISPRONUNCIATION DETECTION AND DIAGNOSIS IN L2 ENGLISH SPEECH
Shaoguang Mao, Zhiyong Wu, Runnan Li, Tsinghua University, China; Xu Li, Helen Meng, The Chinese University of Hong Kong, China; Lianhong Cai, Tsinghua University, China
HLT-P4.7: ON THE USE OF GRAPHEME MODELS FOR SEARCHING IN LARGE SPOKEN ARCHIVES
Jan Svec, Josef V. Psutka, University of West Bohemia, Czech Republic; Jan Trmal, Johns Hopkins University, United States; Lubos Smidl, Pavel Ircing, University of West Bohemia, Czech Republic; Jan Sedmidubsky, Masaryk University, Czech Republic
HLT-P4.8: QUERY-BY-EXAMPLE SPOKEN TERM DETECTION USING ATTENTION-BASED MULTI-HOP NETWORKS
Chia-Wei Ao, Hung-Yi Lee, National Taiwan University, Taiwan
HLT-P4.9: SEGMENTAL AUDIO WORD2VEC: REPRESENTING UTTERANCES AS SEQUENCES OF VECTORS WITH APPLICATIONS IN SPOKEN TERM DETECTION
Yu-Hsuan Wang, Hung-Yi Lee, Lin-Shan Lee, National Taiwan University, Taiwan
HLT-P4.10: ESSENCE VECTOR-BASED QUERY MODELING FOR SPOKEN DOCUMENT RETRIEVAL
Kuan-Yu Chen, National Taiwan University of Science and Technology, Taiwan; Shih-Hung Liu, Academia Sinica, Taiwan; Berlin Chen, National Taiwan Normal University, Taiwan; Hsin-Min Wang, Academia Sinica, Taiwan
BD-L1.1: A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION
Yingxue Zhang, Michael Rabbat, McGill University, Canada
BD-L1.2: DIGRAPH FOURIER TRANSFORM VIA SPECTRAL DISPERSION MINIMIZATION
Rasoul Shafipour, University of Rochester, United States; Ali Khodabakhsh, University of Texas at Austin, United States; Gonzalo Mateos, University of Rochester, United States; Evdokia Nikolova, University of Texas at Austin, United States
BD-L1.3: ONLINE MULTI-KERNEL LEARNING WITH ORTHOGONAL RANDOM FEATURES
Yanning Shen, Tianyi Chen, Georgios B. Giannakis, University of Minnesota, United States
BD-L1.4: NOVEL ALGORITHMS FOR EXACT AND EFFICIENT L1-NORM-BASED TUCKER2 DECOMPOSITION
Dimitris Chachlakis, Panos Markopoulos, Rochester Institute of Technology, United States
BD-L1.5: COMMON AND INDIVIDUAL FEATURE EXTRACTION USING TENSOR DECOMPOSITIONS: A REMEDY FOR THE CURSE OF DIMENSIONALITY?
Ilia Kisil, Giuseppe G. Calvi, Imperial College London, United Kingdom; Andrzej Cichocki, RIKEN Brain Science Institute Wako-shi, United Kingdom; Danilo P. Mandic, Imperial College London, United Kingdom
BD-L1.6: TWITTER USER GEOLOCATION USING DEEP MULTIVIEW LEARNING
Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis, Vrije Universiteit Brussel, Belgium
BD-P1.1: GRAPH LEARNING BASED ON TOTAL VARIATION MINIMIZATION
Peter Berger, Manfred Buchacher, Gabor Hannak, Gerald Matz, Technische Universität Wien, Austria
BD-P1.2: ON THE SAMPLE COMPLEXITY OF GRAPHICAL MODEL SELECTION FROM NON-STATIONARY SAMPLES
Nguyen Q. Tran, Alexander Jung, Aalto University, Finland
BD-P1.3: A DISTANCE-BASED FORMULATION FOR SAMPLING SIGNALS ON GRAPHS
Ajinkya Jayawant, Antonio Ortega, University of Southern California, United States
BD-P1.4: A PARALLEL BEST-RESPONSE ALGORITHM WITH EXACT LINE SEARCH FOR NONCONVEX SPARSITY-REGULARIZED RANK MINIMIZATION
Yang Yang, University of Luxembourg, Luxembourg; Marius Pesavento, Technische Universität Darmstadt, Germany
BD-P1.5: EXTENDABLE NEURAL MATRIX COMPLETION
Duc Minh Nguyen, Evaggelia Tsiligianni, Nikos Deligiannis, Vrije Universiteit Brussel, Belgium
BD-P1.6: NON-NEGATIVE ONLINE ESTIMATION FOR HAWKES PROCESS NETWORKS
Marc Piggott, Victor Solo, University of New South Wales, Australia
BD-P1.7: STOCHASTIC VARIANCE REDUCED MULTIPLICATIVE UPDATE FOR NONNEGATIVE MATRIX FACTORIZATION
Hiroyuki Kasai, The University of Electro-Communications, Japan
BD-P1.8: LOW-RANK OPTIMIZATION FOR DATA SHUFFLING IN WIRELESS DISTRIBUTED COMPUTING
Kai Yang, Yuanming Shi, ShanghaiTech University, China; Zhi Ding, University of California, Davis, United States
BD-P1.9: COMIC ALGORITHM: COMPRESSED SENSING MEETS COUNT-MIN APPLIED TO HEAVY HITTER DETECTION
Symeon Chouvardas, Capital Fund Management, France; Moez Draief, Huawei Technologies Co., Ltd, France
BD-P1.10: SPATIAL RANDOM SAMPLING: A STRUCTURE-PRESERVING DATA SKETCHING TOOL
Mostafa Rahmani, George Atia, University of Central Florida, United States
BD-P2.1: DISTRIBUTED COUPLED LEARNING OVER ADAPTIVE NETWORKS
Sulaiman A. Alghunaim, University of California, Los Angeles, United States; Ali H. Sayed, Ecole Polytechnique Fédérale de Lausanne, Switzerland
BD-P2.2: DISTRIBUTED SOLUTION OF LARGE-SCALE LINEAR SYSTEMS VIA ACCELERATED PROJECTION-BASED CONSENSUS
Navid Azizan-Ruhi, Farshad Lahouti, California Institute of Technology, United States; Salman Avestimehr, University of Southern California, United States; Babak Hassibi, California Institute of Technology, United States
BD-P2.3: LARGE-SCALE REGULARIZED SUMCOR GCCA VIA PENALTY-DUAL DECOMPOSITION
Charilaos I. Kanatsoulis, University of Minnesota, United States; Xiao Fu, Oregon State University, United States; Nicholas D. Sidiropoulos, University of Virginia, United States; Mingyi Hong, University of Minnesota, United States
BD-P2.5: CPD UPDATING USING LOW-RANK WEIGHTS
Michiel Vandecappelle, Martijn Bousse, Nico Vervliet, Lieven De Lathauwer, KU Leuven, Belgium
BD-P2.7: ROBUST DISTRIBUTED GRADIENT DESCENT WITH ARBITRARY NUMBER OF BYZANTINE ATTACKERS
Xinyang Cao, Lifeng Lai, University of California, Davis, United States
BD-P2.8: STREAMING INFLUENCE MAXIMIZATION IN SOCIAL NETWORKS BASED ON MULTI-ACTION CREDIT DISTRIBUTION
Qilian Yu, Hang Li, University of California, Davis, United States; Yun Liao, University of California, San Diego, United States; Shuguang Cui, University of California, Davis, United States
BD-P2.9: FAIRNESS IN MULTITERMINAL DATA COMPRESSION: A SPLITTING METHOD FOR THE EGALITARIAN SOLUTION
Ni Ding, David Smith, Data61, The Commonwealth Scientific and Industrial Research Organisation, Australia; Parastoo Sadeghi, Research School of Engineering, The Australian National University, Australia; Thierry Rakotoarivelo, Data61, The Commonwealth Scientific and Industrial Research Organisation, Australia
BD-P2.10: PRIMA: PROBABILISTIC RANKING WITH INTER-ITEM COMPETITION AND MULTI-ATTRIBUTE UTILITY FUNCTION
Qingming Li, Zhanjiang Chen, H. Vicky Zhao, Tsinghua University, China; Yan Lindsay Sun, University of Rhode Island, United States
IOT-L1.1: REAL-TIME INDOOR EVENT MONITORING USING CSI TIME SERIES
Qinyi Xu, University of Maryland College Park, United States; Yi Han, Origin Wireless, Inc., United States; Beibei Wang, Min Wu, K. J. Ray Liu, University of Maryland College Park, United States
IOT-L1.2: WIDETECT: A ROBUST AND LOW-COMPLEXITY WIRELESS MOTION DETECTOR
Feng Zhang, Chen Chen, Beibei Wang, UMD/Origin Wireless, Inc., United States; Hung-Quoc Lai, Yi Han, Origin Wireless, Inc., United States; K. J. Ray Liu, UMD/Origin Wireless, Inc., United States
IOT-L1.3: OPPORTUNISTIC SENSING WITH MIC ARRAYS ON SMART SPEAKERS FOR DISTAL INTERACTION AND EXERCISE TRACKING
Anup Agarwal, Indian Institute of Technology Guwahati, India; Mohit Jain, University of Washington, United States; Pratyush Kumar, IBM Research, India; Shwetak Patel, University of Washington, United States
IOT-L1.4: LOW-COMPLEXITY SECURE WATERMARK ENCRYPTION FOR COMPRESSED SENSING-BASED PRIVACY PRESERVING
Kai-Ni Hou, Ting-Sheng Chen, Hung-Chi Kuo, Tzu-Hsuan Chen, Anyeu Wu, National Taiwan University, Taiwan
IOT-L1.5: CHANNEL DEPENDENT CODEBOOK DESIGN IN SPATIAL MODULATION
Baptiste Cavarec, Mats Bengtsson, Royal Institute of Technology, Sweden
IOT-L1.6: HARNESSING BANDIT ONLINE LEARNING TO LOW-LATENCY FOG COMPUTING
Tianyi Chen, Georgios B. Giannakis, University of Minnesota, United States
IOT-P1.1: CONTINUOUS SECURITY IN IOT USING BLOCKCHAIN
Rahul Agrawal, Pratik Verma, Rahul Sonanis, Umang Goel, Aloknath De, Sai Anirudh Kondaveeti, Suman Shekhar, Samsung Research Institute Bangalore, India
IOT-P1.2: DISTRIBUTED CENSORING WITH ENERGY CONSTRAINT IN WIRELESS SENSOR NETWORKS
Liu Yang, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China; Hongbin Zhu, ShanghaiTech University, China; Kai Kang, Shanghai Advanced Research Institute, CAS, China; Xiliang Luo, ShanghaiTech University, China; Hua Qian, Shanghai Advanced Research Institute, CAS, China; Yang Yang, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China
IOT-P1.3: TIME REVERSAL INDOOR TRACKING WITH CENTIMETER ACCURACY
Qinyi Xu, Feng Zhang, Beibei Wang, K. J. Ray Liu, University of Maryland College Park, United States
IOT-P1.4: JOINT MOBILE SINK SCHEDULING AND DATA AGGREGATION IN ASYNCHRONOUS WIRELESS SENSOR NETWORKS USING Q-LEARNING
Surender Redhu, Pratyush Garg, Rajesh Hegde, Indian Institute of Technology Kanpur, India
IOT-P1.5: COMPRESSIVE NETWORKED STORAGE WITH LAZY-ENCODING
Siwang Zhou, Shuzhen Xiang, Xingting Liu, Hunan University, China; Yonghe Liu, the University of Texas at Arlington, China
SPED-P1.1: GAMIFICATION OF DSP: ELECTRONIC VS PEN-AND-PAPER
Richard Martin, The Air Force Institute of Technology, United States; Kirsten Basinet, Jacob Rosenblum, Western Washington University, United States; Alexander Schwartz, The Air Force Institute of Technology, United States; Andrew Klein, Western Washington University, United States
SPED-P1.2: HAND-RAISING GESTURE DETECTION IN REAL CLASSROOM
Jiaojiao Lin, Fei Jiang, Ruimin Shen, Shanghai Jiao Tong University, China
SPED-P1.4: ONLINE EDUCATION EVALUATION FOR SIGNAL PROCESSING COURSE THROUGH STUDENT LEARNING PATHWAYS
H R Kelvin Ng, Sivanagaraja Tatinati, Andy W. H. Khong, Nanyang Technological University, Singapore
SPED-P1.5: PROJECT HANDOVER IN UNDERGRADUATE PROJECTS - EFFICIENT HANDOVER FOR INCREASED LEARNING OPPORTUNITIES
Scott Tancock, Naim Dahnoun, University of Bristol, United Kingdom
SPED-P1.6: USING THE ARDUINO DUE FOR TEACHING DIGITAL SIGNAL PROCESSING
Joakim Jalden, Xavier Casas Moreno, KTH Royal Institute of Technology, Sweden; Isaac Skog, Linkoping University,, Sweden
CIM-L1.1: ACCELERATED IMAGE RECONSTRUCTION FOR NONLINEAR DIFFRACTIVE IMAGING
Yanting Ma, North Carolina State University, United States; Hassan Mansour, Dehong Liu, Petros Boufounos, Mitsubishi Electric Research Laboratories, United States; Ulugbek Kamilov, Washington University in St. Louis, United States
CIM-L1.2: FUSION OF MULTIPLE MULTIBAND IMAGES WITH COMPLEMENTARY SPATIAL AND SPECTRAL RESOLUTIONS
Reza Arablouei, Commonwealth Scientific and Industrial Research Organisation, Australia
CIM-L1.3: DEVELOPING A GEOMETRIC DEFORMABLE MODEL FOR RADAR SHAPE INVERSION
Alper Yildirim, Anthony Yezzi, Georgia Institute of Technology, United States
CIM-L1.4: REAL-TIME TOTAL FOCUSING METHOD FOR ULTRASONIC IMAGING OF MULTILAYERED OBJECT
Wenkai Cui, Kaihuai Qin, Tsinghua University, China
CIM-L1.5: SUB-DIFFRACTION IMAGING USING FOURIER PTYCHOGRAPHY AND STRUCTURED SPARSITY
Gauri Jagatap, Zhengyu Chen, Chinmay Hegde, Namrata Vaswani, Iowa State University, United States
CIM-L1.6: LENSLESS 3D IMAGING USING MASK-BASED CAMERAS
Salman Asif, University of California, Riverside, United States
CIM-P1.1: DEEPCASD: AN END-TO-END APPROACH FOR MULTI-SPECTRAL IMAGE SUPER-RESOLUTION
Bihan Wen, University of Illinois at Urbana-Champaign, United States; Ulugbek Kamilov, Dehong Liu, Hassan Mansour, Petros Boufounos, Mitsubishi Electric Research Laboratories, United States
CIM-P1.2: SLOW-TIME CODING FOR MUTUAL INTERFERENCE MITIGATION
Bo Tang, Wenjie Huang, Jian Li, University of Science and Technology of China, China
CIM-P1.3: REAL-TIME TOTAL FOCUSING METHOD IMAGING FOR ULTRASONIC INSPECTION OF THREE-DIMENSIONAL MULTILAYERED MEDIA
Wenkai Cui, Kaihuai Qin, Tsinghua University, China
CIM-P1.4: A MULTI-RESOLUTION APPROACH TO COMPLEXITY REDUCTION IN TOMOGRAPHIC RECONSTRUCTION
Boxiao Ma, Nour Zalmai, Hans-Andrea Loeliger, ETH Zurich, Switzerland
CIM-P1.5: HIGH-SPEED LIGHT FIELD IMAGE FORMATION ANALYSIS USING WAVEFIELD MODELING WITH FLEXIBLE SAMPLING
Yanqin Chen, Xin Jin, Li Liu, Qionghai Dai, Tsinghua University, China
CIM-P1.6: CONVOLUTIONAL SPARSE REPRESENTATIONS WITH GRADIENT PENALTIES
Brendt Wohlberg, Los Alamos National Laboratory, United States
CIM-P1.7: MODEL-BASED FREE-BREATHING CARDIAC MRI RECONSTRUCTION USING DEEP LEARNED & STORM PRIORS: MODL-STORM
Sampurna Biswas, Hemant K. Aggarwal, Sunrita Poddar, Mathews Jacob, University of Iowa, United States
CIM-P1.8: LOW RANK FOURIER PTYCHOGRAPHY
Zhengyu Chen, Gauri Jagatap, Seyedehsara Nayer, Chinmay Hegde, Namrata Vaswani, Iowa State University, United States
CIM-P1.9: IMAGE RECONSTRUCTION FOR QUANTA IMAGE SENSORS USING DEEP NEURAL NETWORKS
Joon Choi, Omar Elgendy, Stanley Chan, Purdue University, United States
SS-L1.1: END-TO-END AUDIOVISUAL SPEECH RECOGNITION
Stavros Petridis, Imperial College London, United Kingdom; Themos Stafylakis, Nottingham University, United Kingdom; Pingchuan Ma, Feipeng Cai, Imperial College London, United Kingdom; Georgios Tzimiropoulos, Nottingham University, United Kingdom; Maja Pantic, Imperial College London, United Kingdom
SS-L1.2: ACCOUNTING FOR ROOM ACOUSTICS IN AUDIO-VISUAL MULTI-SPEAKER TRACKING
Yutong Ban, Xiaofei Li, Xavier Alameda-Pineda, INRIA, France; Laurent Girin, GIPSA-Lab, Grenoble-INP, France; Radu Horaud, INRIA, France
SS-L1.3: USING AUDIO-VISUAL INFORMATION TO UNDERSTAND SPEAKER ACTIVITY: TRACKING ACTIVE SPEAKERS ON AND OFF SCREEN
Kenneth Hoover, University of California, San Diego, United States; Sourish Chaudhuri, Caroline Pantofaru, Ian Sturdy, Malcolm Slaney, Google Inc., United States
SS-L1.4: INTELLIGENT SIGNAL PROCESSING MECHANISMS FOR NUANCED ANOMALY DETECTION IN ACTION AUDIO-VISUAL DATA STREAMS
Josef Kittler, University of Surrey, United Kingdom; Ioannis Kaloskampis, Cardiff University, United Kingdom; Cemre Zor, Yong Xu, University of Surrey, United Kingdom; Yulia Hicks, Cardiff University, United Kingdom; Wenwu Wang, University of Surrey, United Kingdom
SS-L1.5: FAR-FIELD AUDIO-VISUAL SCENE PERCEPTION OF MULTI-PARTY HUMAN-ROBOT INTERACTION FOR CHILDREN AND ADULTS
Antigoni Tsiami, Panagiotis Paraskevas Filntisis, Niki Efthymiou, Petros Koutras, National Technical University of Athens, Greece; Gerasimos Potamianos, University of Thessaly, Greece; Petros Maragos, National Technical University of Athens, Greece
SS-L1.6: AUDIO-VISUAL CONVERSATION ANALYSIS BY SMART POSTERBOARD AND HUMANOID ROBOT
Tatsuya Kawahara, Koji Inoue, Divesh Lala, Katsuya Takanashi, Kyoto University, Japan
SS-L2.1: EVENT-TRIGGERED PARTICLE FILTERING VIA DIFFUSION STRATEGIES FOR DISTRIBUTED ESTIMATION IN AUTONOMOUS SYSTEMS
Somayeh Davar, Arash Mohammadi, Concordia University, Canada; Konstantinos N. Plataniotis, University of Toronto, Canada
SS-L2.2: A NOVEL EGO-NOISE SUPPRESSION ALGORITHM FOR ACOUSTIC SIGNAL ENHANCEMENT IN AUTONOMOUS SYSTEMS
Alexander Schmidt, Heinrich Loellmann, Walter Kellermann, Friedrich-Alexander University Erlangen-Nuernberg, Germany
SS-L2.3: AN ARCHITECTURE FOR SELF-AWARE IOT APPLICATIONS
Lukas Esterle, Aston University, United Kingdom; Bernhard Rinner, Alpen-Adria-Universitaet Klagenfurt, Austria
SS-L2.4: SHARED HUMAN-MACHINE CONTROL FOR SELF-AWARE PROSTHESES
Henrique Dantas, Oregon State University, United States; Jacob Nieven, Tyler Davis, University of Utah, United States; Xiao Fu, Oregon State University, United States; Gregory Clark, David Warren, University of Utah, United States; V John Mathews, Oregon State University, United States
SS-L2.5: A MULTI-PERSPECTIVE APPROACH TO ANOMALY DETECTION FOR SELF-AWARE EMBODIED AGENTS
Mohamad Baydoun, Mahdyar Ravanbakhsh, Damian Campo, University of Genoa, Italy; Pablo Marin, David Martin, Carlos III University of Madrid, Spain; Lucio Marcenaro, University of Genoa, Italy; Andrea Cavallaro, Queen Mary University of London, United Kingdom; Carlo Regazzoni, University of Genoa, Italy
SS-L2.6: CONCURRENT TARGET FOLLOWING WITH ACTIVE DIRECTIONAL SENSORS
Yiming Wang, Andrea Cavallaro, Queen Mary University of London, United Kingdom
SS-L3.1: SHORT PACKET STRUCTURE FOR ULTRA-RELIABLE MACHINE-TYPE COMMUNICATION: TRADEOFF BETWEEN DETECTION AND DECODING
Alexandru-Sabin Bana, Kasper Fløe Trillingsgaard, Petar Popovski, Elisabeth de Carvalho, Aalborg University, Denmark
SS-L3.2: HUMAN AND MACHINE TYPE COMMUNICATIONS CAN COEXIST IN UPLINK MASSIVE MIMO SYSTEMS
Kamil Senel, Emil Bjornson, Erik G. Larsson, Linkoping University, Sweden
SS-L3.3: SPARSE ACTIVITY DETECTION FOR MASSIVE CONNECTIVITY IN CELLULAR NETWORKS: MULTI-CELL COOPERATION VS LARGE-SCALE ANTENNA ARRAYS
Zhilin Chen, Foad Sohrabi, Wei Yu, University of Toronto, Canada
SS-L3.4: A COMPRESSIVE SENSING-BASED ACTIVE USER AND SYMBOL DETECTION TECHNIQUE FOR MASSIVE MACHINE-TYPE COMMUNICATIONS
Byeong Kook Jeong, Byonghyo Shim, Kwang Bok Lee, Seoul National University, Korea (South)
SS-L3.5: A COUPLED COMPRESSIVE SENSING SCHEME FOR UNSOURCED MULTIPLE ACCESS
Vamsi Amalladinne, Avinash Vem, Dileep Kumar Soma, Krishna Narayanan, Jean-Francois Chamberland, Texas A&M University, United States
SS-L3.6: SPARSE SUPPORT RECOVERY VIA COVARIANCE ESTIMATION
Lekshmi Ramesh, Chandra Murthy, Indian Institute of Science, Bangalore, India
SS-L4.1: TOMOGRAPHY OF ADAPTIVE MULTI-AGENT NETWORKS UNDER LIMITED OBSERVATION
Vincenzo Matta, University of Salerno, Italy; Ali H. Sayed, Ecole Polytechnique Fédérale de Lausanne, Switzerland
SS-L4.2: QUICKEST CHANGE DETECTION UNDER A NUISANCE CHANGE
Tze Siong Lau, Wee Peng Tay, Nanyang Technological University, Singapore
SS-L4.3: A TWO-LAYER REINFORCEMENT LEARNING SOLUTION FOR ENERGY HARVESTING DATA DISSEMINATION SCENARIOS
Andrea Ortiz, Technische Universität Darmstadt, Germany; Tobias Weber, Universitaet Rostock, Germany; Anja Klein, Technische Universität Darmstadt, Germany
SS-L4.4: REINFORCEMENT LEARNING FOR 5G CACHING WITH DYNAMIC COST
Alireza Sadeghi, Fatemeh Sheikholeslami, University of Minnesota, United States; Antonio G. Marques, King Juan Carlos University, Spain; Georgios B. Giannakis, University of Minnesota, United States
SS-L4.5: DEEP LEARNING FOR FRAME ERROR PROBABILITY PREDICTION IN BICM-OFDM SYSTEMS
Vidit Saxena, Joakim Jalden, Mats Bengtsson, KTH Royal Institute of Technology, Sweden; Hugo Tullberg, Ericsson, Sweden
SS-L4.6: CONSTRAINED BAYESIAN ACTIVE LEARNING OF A LINEAR CLASSIFIER
Anestis Tsakmalis, Symeon Chatzinotas, Bjorn Ottersten, SnT, University of Luxembourg, Luxembourg
SS-L5.1: DEEP RESIDUAL LEARNING FOR MODEL-BASED ITERATIVE CT RECONSTRUCTION USING PLUG-AND-PLAY FRAMEWORK
Dong Hye Ye, Purdue University, United States; Somesh Srivastava, Jean-Baptiste Thibault, GE Healthcare, United States; Ken Sauer, University of Notre Dame, United States; Charles Bouman, Purdue University, United States
SS-L5.2: DEEP LEARNING FOR ACCELERATED ULTRASOUND IMAGING
Yeo Hun Yoon, Jong Chul Ye, Bio Imaging & Signal Processing Lab., Dept. of Bio and Brain Engineering, KAIST, Korea (South)
SS-L5.3: FULLY AUTOMATIC SEGMENTATION OF THE RIGHT VENTRICLE VIA MULTI-TASK DEEP NEURAL NETWORKS
Liang Zhang, Georgios Vasileios Karanikolas, Mehmet Akcakaya, Georgios B. Giannakis, University of Minnesota, United States
SS-L5.4: BREAST DENSITY CLASSIFICATION WITH DEEP CONVOLUTIONAL NEURAL NETWORKS
Nan Wu, Krzysztof J. Geras, Yiqiu Shen, Jingyi Su, S. Gene Kim, Eric Kim, Stacey Wolfson, Linda Moy, Kyunghyun Cho, New York University, United States
SS-L5.5: VARIATIONAL DEEP LEARNING FOR LOW-DOSE COMPUTED TOMOGRAPHY
Erich Kobler, Graz University of Technology, Austria; Matthew Muckley, Baiyu Chen, Florian Knoll, Center for Advanced Imaging Innovation and Research, United States; Kerstin Hammernik, Thomas Pock, Graz University of Technology, Austria; Daniel Sodickson, Ricardo Otazo, Center for Advanced Imaging Innovation and Research, United States
SS-L5.6: SYNTHETIC CT GENERATION USING MRI WITH DEEP LEARNING: HOW DOES THE SELECTION OF INPUT IMAGES AFFECT THE RESULTING SYNTHETIC CT?
Andrew Leynes, Peder Larson, University of California San Francisco, United States
SS-L9.1: EXPLORING PRACTICAL ASPECTS OF NEURAL MASK-BASED BEAMFORMING FOR FAR-FIELD SPEECH RECOGNITION
Christoph Boeddeker, Paderborn University, Germany; Hakan Erdogan, Takuya Yoshioka, Microsoft, United States; Reinhold Haeb-Umbach, Paderborn University, Germany
SS-L9.2: OPTIMIZATION OF SPEAKER-AWARE MULTICHANNEL SPEECH EXTRACTION WITH ASR CRITERION
Katerina Zmolikova, Brno University of Technology, Czech Republic; Marc Delcroix, Keisuke Kinoshita, Takuya Higuchi, Tomohiro Nakatani, NTT Communication Science Laboratories, Japan; Jan Cernocky, Brno University of Technology, Czech Republic
SS-L9.3: SPEAKER ADAPTATION FOR MULTICHANNEL END-TO-END SPEECH RECOGNITION
Tsubasa Ochiai, Doshisha University, Japan; Shinji Watanabe, Mitsubishi Electric Research Laboratories, United States; Shigeru Katagiri, Doshisha University, Japan; Takaaki Hori, John R. Hershey, Mitsubishi Electric Research Laboratories, United States
SS-L9.4: DNN-BASED CONCURRENT SPEAKERS DETECTOR AND ITS APPLICATION TO SPEAKER EXTRACTION WITH LCMV BEAMFORMING
Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot, Bar-Ilan University, Israel
SS-L9.5: NEURAL NETWORK BASED TIME-FREQUENCY MASKING AND STEERING VECTOR ESTIMATION FOR TWO-CHANNEL MVDR BEAMFORMING
Yuzhou Liu, The Ohio State University, United States; Anshuman Ganguly, The University of Texas at Dallas, United States; Krishna Kamath, Trausti Kristjansson, Amazon Lab 126, United States
SS-L9.6: PERFORMANCE OF MASK BASED STATISTICAL BEAMFORMING IN A SMART HOME SCENARIO
Jahn Heymann, Paderborn University, Germany; Michiel Bacchiani, Tara Sainath, Google Inc., United States
SS-L6.1: DEEP BLIND IMAGE QUALITY ASSESSMENT BY LEARNING SENSITIVITY MAP
Jongyoo Kim, Woojae Kim, Sanghoon Lee, Yonsei University, Korea (South)
SS-L6.2: GEOMETRIC TRANSFORMATION INVARIANT IMAGE QUALITY ASSESSMENT USING CONVOLUTIONAL NEURAL NETWORKS
Kede Ma, Zhengfang Duanmu, Zhou Wang, University of Waterloo, Canada
SS-L6.3: VR IQA NET: DEEP VIRTUAL REALITY IMAGE QUALITY ASSESSMENT USING ADVERSARIAL LEARNING
Heoun-Taek Lim, Hak Gu Kim, Yong Man Ro, KAIST, Korea (South)
SS-L6.4: IMAGE QUALITY ASSESSMENT BASED LABEL SMOOTHING IN DEEP NEURAL NETWORK LEARNING
Zhuo Chen, Weisi Lin, Nanyang Technological University, Singapore; Shiqi Wang, City University of Hong Kong, China; Long Xu, Chinese Academy of Sciences, China; Leida Li, China University of Mining and Technology, China
SS-L6.5: PREDICTION OF SATISFIED USER RATIO FOR COMPRESSED VIDEO
Haiqiang Wang, University of Southern California, United States; Ioannis Katsavounidis, Netflix, United States; Qin Huang, University of Southern California, United States; Xin Zhou, Northwestern Polytechnical University, China; C.-C. Jay Kuo, University of Southern California, United States
SS-L6.6: STATISTICAL EVALUATION OF VISUAL QUALITY METRICS FOR IMAGE DENOISING
Karen Egiazarian, Mykola Ponomarenko, Tampere University of Technology, Finland; Vladimir Lukin, Oleg Ieremeiev, National Aerospace University, Ukraine
SS-L7.1: PROJECTING ONTO THE MULTI-LAYER CONVOLUTIONAL SPARSE CODING MODEL
Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad, Technion - Israel Institute of Technology, Israel
SS-L7.2: RED-UCATION: A NOVEL CNN ARCHITECTURE BASED ON DENOISING NONLINEARITIES
Yaniv Romano, Michael Elad, The Technion - Israel Institute of Technology, Israel; Peyman Milanfar, Google Inc., United States
SS-L7.3: THE LEARNED INEXACT PROJECT GRADIENT DESCENT ALGORITHM
Raja Giryes, Tel-Aviv University, Israel; Yonina Eldar, Alex M. Bronstein, Technion - Israel Institute of Technology, Israel; Guillermo Sapiro, Duke University, United States
SS-L7.4: IMAGE RESTORATION WITH DEEP GENERATIVE MODELS
Raymond Yeh, Teck Yian Lim, Chen Chen, Alexander Schwing, Mark Hasegawa-Johnson, Minh N. Do, University of Illinois at Urbana-Champaign, United States
SS-L7.5: A DEEP DICTIONARY MODEL FOR IMAGE SUPER-RESOLUTION
Junjie Huang, Pier Luigi Dragotti, Imperial College London, United Kingdom
SS-L7.6: UNSUPERVISED DEEP TRANSFORM LEARNING
Jyoti Maggu, Angshul Majumdar, IIIT Delhi, India
SS-L11.1: CONSIDERATIONS REGARDING INDIVIDUALIZATION OF HEAD-RELATED TRANSFER FUNCTIONS
Craig T. Jin, Reza Zolfaghari, Xian Long, Arun Sebastian, Shayikh Hossain, The University of Sydney, Australia; Alexis Glaunes, Universite Paris Descartes, France; Anthony Tew, The University of York, United Kingdom; Muhammad Shahnawaz, Augusto Sarti, Politecnico di Milano, Italy
SS-L11.2: SPARSE HEAD-RELATED TRANSFER FUNCTION REPRESENTATION WITH SPATIAL ALIASING CANCELLATION
David Lou Alon, Oculus & Facebook, United States; Zamir Ben-Hur, Boaz Rafaely, Ben-Gurion University of the Negev, Israel; Ravish Mehra, Oculus & Facebook, United States
SS-L11.3: SPATIAL AUDIO FEATURE DISCOVERY WITH CONVOLUTIONAL NEURAL NETWORKS
Etienne Thuillier, Aalto University, Finland; Hannes Gamper, Ivan Tashev, Microsoft, United States
SS-L11.4: COMPASS: CODING AND MULTIDIRECTIONAL PARAMETERIZATION OF AMBISONIC SOUND SCENES
Archontis Politis, Sakari Tervo, Ville Pulkki, Aalto University, Finland
SS-L11.5: SEQUENTIAL DIRECTION DETECTION FOR SOUND SCENE ANALYSIS
Nail Gumerov, VisiSonics Corporation, United States; Bowen Zhi, University of Maryland, United States; Ramani Duraiswami, VisiSonics Corporation, United States
SS-L11.6: A WEIGHTED LEAST SQUARES BEAM SHAPING TECHNIQUE FOR SOUND FIELD CONTROL
Antonio Canclini, Dejan Markovic, Politecnico di Milano, Italy; Martin Schneider, International Audio Laboratories Erlangen / Fraunhofer Institute for Integrated Circuits, Germany; Fabio Antonacci, Politecnico di Milano, Italy; Emanuel A. P. Habets, International Audio Laboratories Erlangen / Fraunhofer Institute for Integrated Circuits, Germany; Andreas Walther, Fraunhofer Institute for Integrated Circuits, Germany; Augusto Sarti, Politecnico di Milano, Italy
SS-L8.1: TOWARDS LEARNING NUISANCE-FREE REPRESENTATIONS OF SPEECH
Lixing Liu, Sayan Ghosh, Stefan Scherer, University of Southern California, United States
SS-L8.2: TOWARDS CONDITIONAL ADVERSARIAL TRAINING FOR PREDICTING EMOTIONS FROM SPEECH
Jing Han, University of Augsburg, Germany; Zixing Zhang, Imperial College London, United Kingdom; Zhao Ren, University of Augsburg, Germany; Fabien Ringeval, Université Grenoble Alpes, France; Bjoern Schuller, University of Augsburg, Germany
SS-L8.3: SHAKING ACOUSTIC SPECTRAL SUB-BANDS CAN BETTER REGULARIZE LEARNING IN AFFECTIVE COMPUTING
Che-Wei Huang, Shrikanth Narayanan, University of Southern California, United States
SS-L8.4: A LIGHT-WEIGHT MULTIMODAL FRAMEWORK FOR IMPROVED ENVIRONMENTAL AUDIO TAGGING
Juncheng Li, Yun Wang, Carnegie Mellon University, United States; Joseph Szurley, Robert Bosch LLC, United States; Florian Metze, Carnegie Mellon University, United States; Samarjit Das, Robert Bosch LLC, United States
SS-L8.5: END-TO-END CONTINUOUS EMOTION RECOGNITION FROM VIDEO USING 3D CONVLSTM NETWORKS
Jian Huang, Ya Li, Jianhua Tao, Zheng Lian, Jiangyan Yi, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China
SS-L8.6: DEPRESSION SPEAKS: AUTOMATIC DISCRIMINATION BETWEEN DEPRESSED AND NON-DEPRESSED SPEAKERS BASED ON NONVERBAL SPEECH FEATURES
Filomena Scibelli, University' degli Studi della Campania, Italy; Giorgio Roffo, Mohammad Tayarani, University of Glasgow, United Kingdom; Luca Bartoli, UOSM Angri-Scafati, Asl Salerno, Italy; Gaetano De Mattia, Santa Maria Capua Vetere, Asl Caserta, Italy; Anna Esposito, Universita' degli Studi della Campania, Italy; Alessandro Vinciarelli, University of Glasgow, United Kingdom
SS-L10.1: MATCHING PURSUIT BASED CONVOLUTIONAL SPARSE CODING
Elad Plaut, Raja Giryes, Tel-Aviv University, Israel
SS-L10.2: DEEP GEOMETRIC MATRIX COMPLETION: A NEW WAY FOR RECOMMENDER SYSTEMS
Federico Monti, Michael Bronstein, Universita' della Svizzera italiana, Switzerland; Xavier Bresson, Nanyang Technological University, Singapore
SS-L10.3: DEMYSTIFYING DEEP LEARNING: A GEOMETRIC APPROACH TO ITERATIVE PROJECTIONS
Ashkan Panahi, Hamid Krim, North Carolina State University, United States; Liyi Dai, Army Research Office, United States
SS-L10.4: NON-EUCLIDEAN VECTOR PRODUCT FOR NEURAL NETWORKS
Arman Afrasiyabi, Universite Laval, Canada; Diaa Badawi, Bilkent University, Turkey; Baris Nasir, Ozan Yildiz, Fatos Yarman-Vural, Middle East Technical University, Canada; Ahmet Enis Cetin, University of Illinois at Chicago, United States
SS-L10.5: STRUCTURED PREDICTION OF DENSE MAPS BETWEEN GEOMETRIC DOMAINS
Emanuele Rodola, Sapienza University of Rome, Italy
SS-L10.6: DEFORMATION STABILITY OF DEEP CONVOLUTIONAL NEURAL NETWORKS ON SOBOLEV SPACES
Michael Koller, Johannes Grossmann, Ullrich Moenich, Holger Boche, Technical University of Munich, Germany
SS-L12.1: ROOM REFLECTORS ESTIMATION FROM SOUND BY GREEDY ITERATIVE APPROACH
Marco Crocco, Visual Geometry and Modelling (VGM) Lab, Istituto Italiano di Tecnologia (IIT), Via Morego 30, 16163 Genova, Italy, Italy; Andrea Trucco, DITEN, University of Genova, Italy; Alessio del Bue, Visual Geometry and Modelling (VGM) Lab, Istituto Italiano di Tecnologia (IIT), Via Morego 30, 16163 Genova, Italy, Italy
SS-L12.2: JOINT ESTIMATION OF THE ROOM GEOMETRY AND MODES WITH COMPRESSED SENSING
Helena Peic Tukuljac, Thach Pham Vu, Herve Lissek, Pierre Vandergheynst, Ecole Polytechnique Fédérale de Lausanne, Switzerland
SS-L12.3: DISTRIBUTED TDOA-BASED INDOOR SOURCE LOCALISATION
Wangyang Yu, Delft University of Technology, Netherlands; Nikolay Dian Gaubitch, Pindrop, United Kingdom; Richard Heusdens, Delft University of Technology, Netherlands
SS-L12.4: JOINT SOURCE LOCALIZATION AND DEREVERBERATION BY SOUND FIELD INTERPOLATION USING SPARSE REGULARIZATION
Niccolo' Antonello, KU Leuven, Belgium; Enzo De Sena, University of Surrey, United Kingdom; Marc Moonen, KU Leuven, Belgium; Patrick A. Naylor, Imperial College London, United Kingdom; Toon van Waterschoot, KU Leuven, Belgium
SS-L12.5: SEPARAKE: SOURCE SEPARATION WITH A LITTLE HELP FROM ECHOES
Robin Scheibler, Tokyo Metropolitan University, Japan; Diego Di Carlo, Antoine Deleforge, INRIA Rennes - Bretagne Atlantique, France; Ivan Dokmanic, University of Illinois at Urbana-Champaign, France
SS-L12.6: ROOM IDENTIFICATION USING FREQUENCY DEPENDENCE OF SPECTRAL DECAY STATISTICS
Alastair H. Moore, Patrick A. Naylor, Mike Brookes, Imperial College London, United Kingdom
SS-L13.1: QUICKEST DETECTION OF DYNAMIC EVENTS IN SENSOR NETWORKS
Shaofeng Zou, Venugopal Veeravalli, University of Illinois at Urbana-Champaign, United States
SS-L13.2: FIRST-ORDER BIFURCATION DETECTION FOR DYNAMIC COMPLEX NETWORKS
Sijia Liu, IBM Research, Cambridge, United States; Pin-Yu Chen, IBM T.J. Watson Research Center, United States; Indika Rajapakse, Alfred O. Hero, University of Michigan, United States
SS-L13.3: HIERARCHICAL HEAVY HITTER DETECTION UNDER UNKNOWN MODELS
Sattar Vakili, Princeton University, United States; Qing Zhao, Cornell University, United States; Chang Liu, Chen-Nee Chuah, University of California, Davis, United States
SS-L13.4: SCALABLE NETWORK PARAMETER ESTIMATION IN THE PRESENCE OF ANOMALIES
Saurabh Sihag, Ali Tajer, Rensselaer Polytechnic Institute, United States
SS-L13.5: LINEAR QUANTIZATION BY EFFECTIVE-RESISTANCE SAMPLING
Yining Wang, Aarti Singh, Carnegie Mellon University, United States
SS-L13.6: TWO-SAMPLE TESTING CAN BE AS HARD AS STRUCTURE LEARNING IN ISING MODELS: MINIMAX LOWER BOUNDS
Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama, Boston University, United States
SS-L14.1: TOWARD SECURE IMAGE DENOISING: A MACHINE LEARNING BASED REALIZATION
Yifeng Zheng, Cong Wang, City University of Hong Kong, City University of Hong Kong Shenzhen Research Institute, China; Jiantao Zhou, University of Macau, China
SS-L14.2: PRIVACY PRESERVING AND COLLUSION RESISTANT ENERGY SHARING
Yuan Hong, Han Wang, Shangyu Xie, Bingyu Liu, Illinois Institute of Technology, United States
SS-L14.3: SELF-ADAPTIVE MACHINE LEARNING OPERATING SYSTEMS FOR SECURITY APPLICATIONS
Kyeong Seon Kim, Dohyun Kwon, Yejin Kim, Junhui Kim, Chugn-Ang University/Republic of Korea, Korea (South); Joongheon Kim, Chung-Ang University/Republic of Korea, Korea (South)
SS-L14.4: QOI: ASSESSING PARTICIPATION IN THREAT INFORMATION SHARING
Jeman Park, Hisham Alasmary, Omar Al-Ibrahim, University of Central Florida, United States; Charles Kamhoua, U.S. Army Research Laboratory, United States; Kevin Kwiat, Laurent Njilla, Air Force Research Laboratory, United States; Aziz Mohaisen, University of Central Florida, United States
SS-L14.5: DIGITALSEAL: A TRANSACTION AUTHENTICATION TOOL FOR ONLINE AND OFFLINE TRANSACTIONS
Changhun Jung, Inha University, Korea (South); Jeonil Kang, theVaulters, Korea (South); Aziz Mohaisen, University of Central Florida, United States; DaeHun Nyang, Inha University, Korea (South)
SS-L15.1: HUMAN-MACHINE INFERENCE NETWORKS FOR SMART DECISION MAKING: OPPORTUNITIES AND CHALLENGES
Aditya Vempaty, IBM T.J. Watson Research Center, United States; Bhavya Kailkhura, Lawrence Livermore National Laboratories, United States; Pramod K. Varshney, Syracuse University, United States
SS-L15.2: PROBABILITY REWEIGHTING IN SOCIAL LEARNING: OPTIMALITY AND SUBOPTIMALITY
Daewon Seo, Ravi Kiran Raman, Lav R. Varshney, University of Illinois at Urbana-Champaign, United States
SS-L15.3: TEAM DECISION MAKING WITH SOCIAL LEARNING: HUMAN SUBJECT EXPERIMENTS
Joong Bum Rhim, GroupM, United States; Vivek Goyal, Boston University, United States
SS-L15.4: AUGMENTING CLASSROOMS WITH AI FOR PERSONALIZED EDUCATION
Ravi Kokku, Sharad Sundararajan, Prasenjit Dey, Renuka Sindhgatta, Satya Nitta, Bikram Sengupta, IBM Research, United States
SS-L15.5: MACHINE ASSISTED HUMAN DECISION MAKING
Sara Mourad, Ahmed Tewfik, The University of Texas at Austin, United States
SS-L15.6: MULTI-ARMED BANDITS FOR HUMAN-MACHINE DECISION MAKING
Paul Reverdy, University of Arizona, United States; Vaibhav Srivastava, Michigan State University, United States
SS-L16.1: A STEM REU SITE ON THE INTEGRATED DESIGN OF SENSOR DEVICES AND SIGNAL PROCESSING ALGORITHMS
Andreas Spanias, Jennifer Blain Christen, Arizona State University, United States
SS-L16.2: AUTOMATICALLY LINKING DIGITAL SIGNAL PROCESSING ASSESSMENT QUESTIONS TO KEY ENGINEERING LEARNING OUTCOMES
S. Supraja, Sivanagaraja Tatinati, Kevin Hartman, Andy W. H. Khong, Nanyang Technological University, Singapore
SS-L16.3: IMAGE FUSION: AN INTRODUCTION TO MULTISPECTRAL SIGNAL PROCESSING
Cameron Wright, University of Wyoming, United States; Thad Welch, Boise State University, United States
SS-L16.4: FLIPPING LARGE CLASSES ON A SHOESTRING BUDGET
Waheed Bajwa, Rutgers University, United States
SS-L16.5: HANDS-ON IN SIGNAL PROCESSING EDUCATION AT TECHNISCHE UNIVERSITÄT DARMSTADT
Tim Schäck, Michael Muma, Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SS-L16.6: ON TEACHING SIGNALS & SYSTEMS IN A PROJECT-BASED LEARNING ENVIRONMENT
Robert Sleezer, Eleanor Leung, Rebecca Bates, Minnesota State University, Mankato, United States