GS-IVM-O.1.1: TRANSFORM DOMAIN DISTRIBUTED VIDEO CODING USING LARGER TRANSFORM BLOCKS
Asif Mahmood, Laurence S Dooley, Patrick Wong, The Open University, United Kingdom
GS-IVM-O.1.2: IMAGE ERROR CONCEALMENT BASED ON JOINT SPARSE REPRESENTATION AND NON-LOCAL SIMILARITY
Ali Akbari, Maria Trocan, Institut supérieur d'électronique de Paris, France; Bertrand Granado, Laboratoire d'Informatique de Paris 6, France
GS-IVM-O.1.3: HYBRID EYE CENTER LOCALIZATION USING CASCADED REGRESSION AND ROBUST CIRCLE FITTING
Alex Levinshtein, Edmund Phung, ModiFace Inc, Canada; Parham Aarabi, ModiFace Inc, Univesity of Toronto, Canada
GS-IVM-O.1.4: CASCADED IMAGE DEBLURRING WITH COMBINED IMAGE PRIOR
Xiaoyun Yuan, Hong Kong University of Science and Technology, China; Ziwei Xu, University of Science and Technology of China, China; Haoqian Wang, Yebin Liu, Tsinghua University, China; Lu Fang, Hong Kong University of Science and Technology, China
GS-IVM-O.1.5: SPARSE UNMIXING BASED ON FEATURE PIXELS FOR HYPERSPECTRAL IMAGERY
Xinrui Cui, Z. Jane Wang, University of British Columbia, Canada
GS-IVM-O.2.1: PARALLEL VIDEO PROCESSING USING EMBEDDED COMPUTERS
Bo Fu, Purdue University, United States; Anup Mohan, Intel Corporation, United States; Yifan Li, Sanghyun Cho, Kent Gauen, Yung-Hsiang Lu, Purdue University, United States
GS-IVM-O.2.2: A LINEAR REGRESSION FRAMEWORK FOR ASSESSING TIME-VARYING SUBJECTIVE QUALITY IN HTTP STREAMING
Nagabhushan Eswara, Dendi Sathya Veera Reddy, Indian Institute of Technology Hyderabad, India; Soumen Chakraborty, Hemanth Sethuram, Intel India Pvt. Ltd., India; Kiran Kuchi, Abhinav Kumar, Sumohana Channappayya, Indian Institute of Technology Hyderabad, India
GS-IVM-O.2.3: 2D VISUAL TRACKING FOR SPORTS UAV CINEMATOGRAPHY APPLICATIONS
Orestis Zachariadis, University of Bristol, United Kingdom; Vasileios Mygdalis, Ioannis Mademlis, Nikos Nikolaidis, Aristotle University of Thessaloniki, Greece; Ioannis Pitas, University of Bristol, United Kingdom
GS-IVM-O.2.4: DYNAMIC RANGE EXPANSION OF SINGLE IMAGES USING INTENSITY-INVARIANT PATCH CORRESPONDENCES
Mushfiqur Rouf, Rabab Ward, University of British Columbia, Canada
GS-IVM-O.2.5: RANDOM WALKS FOR IMAGE SEGMENTATION CONTAINING TRANSLUCENT OVERLAPPED OBJECTS
Tayebeh Lotfi Mahyari, Richard M. Dansereau, Carleton University, Canada
GS-SLP-O.1.1: A NEW APPROACH FOR ROBUST REPLAY SPOOF DETECTION IN ASV SYSTEMS
B Shaik Mohammad Rafi, K Sri Rama Murty, Shekhar Nayak, Indian Institute of Technology Hyderabad, India
GS-SLP-O.1.2: I-VECTOR KULLBACK-LEIBLER DIVISIVE NORMALIZATION FOR PLDA SPEAKER VERIFICATION
Yilin Pan, Tieran Zheng, Chen Chen, Harbin Institute of Technology, China
GS-SLP-O.1.3: INFLUENCE OF AUDIO BANDWIDTH ON SPEECH EMOTION RECOGNITION BY HUMAN SUBJECTS
Olivier Lahaie, Roch Lefebvre, Philippe Gournay, Université de Sherbrooke, Canada
GS-SLP-O.1.4: INVESTIGATION ON ADAPTIVE DATA CONDENSATION FOR EXEMPLAR BASED METHOD IN SPEECH TASK
Muhammad Rizwan, David V. Anderson, Georgia Institute of Technology, United States
GS-SLP-O.1.5: ADAPTIVE WAVELET PACKET THRESHOLDING WITH ITERATIVE KALMAN FILTER FOR SPEECH ENHANCEMENT
Mengjiao Zhao, Weiping Zhu, Concordia University, Canada
GS-SAM-O.1.1: CLOSED-FORM SOLUTION TO DIRECTLY DESIGN FREQUENCY MODULATED WAVEFORMS FOR BEAMPATTERNS
Sajid Ahmed, Information Technology University, Pakistan; Seifallah Jardak, Mohamed-Slim Alouini, King Abdullah University of Science and Technology, Saudi Arabia
GS-SAM-O.1.2: EFFICIENT CONSTRUCTION OF POLYPHASE SEQUENCES WITH OPTIMAL PEAK SIDELOBE LEVEL GROWTH
Arindam Bose, University of Illinois at Chicago, United States; Mojtaba Soltanalian, Assistant Professor, and Director of WaveOPT Laboratory, University of Illinois at Chicago, United States
GS-SAM-O.1.3: MEASUREMENTS AND MODELING OF IMPULSE NOISE AT THE 2.4 GHZ WIRELESS LAN BAND
Khodr Saaifan, Werner Henkel, Jacobs University Bremen, Germany
GS-SAM-O.1.4: LINEAR PREDICTIVE CODING FOR SONAR DATA
Vladimir Burstein, Jacobs University Bremen/ATLAS ELEKTRONIK GmbH, Germany; Werner Henkel, Jacobs University Bremen, Germany
GS-SAM-O.1.5: MULTIBAND TDOA ESTIMATION FROM SUB-NYQUIST SAMPLES WITH DISTRIBUTED WIDEBAND SENSING NODES
Anastasia Lavrenko, Florian Römer, Technische Universität Ilmenau, Germany; Giovanni Del Galdo, Reiner Thomä, Technische Universität Ilmenau/Fraunhofer IIS, Germany
GS-MLSP-O.1.1: PERFORMANCE BENCHMARKS FOR DETECTION PROBLEMS
Kelsie Larson, Mireille Boutin, Purdue University, United States
GS-MLSP-O.1.2: LEARNING FROM UNEQUALLY RELIABLE BLIND ENSEMBLES OF CLASSIFIERS
Panagiotis A. Traganitis, University of Minnesota, United States; Alba Pagès-Zamora, Universitat Politècnica de Catalunya BarcelonaTech, Spain; Georgios B. Giannakis, University of Minnesota, United States
GS-MLSP-O.1.3: COMBINATORIAL MULTI-ARMED BANDIT PROBLEM WITH PROBABILISTICALLY TRIGGERED ARMS: A CASE WITH BOUNDED REGRET
Anil Omer Saritac, Cem Tekin, Bilkent University, Turkey
GS-MLSP-O.1.4: ROBUST MULTIDIMENSIONAL SCALING EMPLOYING M-ESTIMATORS AND NUCLEAR NORM REGULARIZATION
Fotios Mandanas, Constantine Kotropoulos, Aristotle University of Thessaloniki, Greece
GS-MLSP-O.1.5: DATA CENSORING WITH SET-MEMBERSHIP ALGORITHMS
Paulo Sergio Ramirez Diniz, Hamed Yazdanpanah, Federal University of Rio de Janeiro, Brazil
GS-IFS-O.1.1: AN ALGORITHM FOR OPTIMAL SECURE SIGNALING OVER COGNITIVE RADIO MIMO CHANNELS
Limeng Dong, Northwestern Polytechnical University, China; Sergey Loyka, University of Ottawa, Canada; Yong Li, Northwestern Polytechnical University, China
GS-IFS-O.1.2: TRANSMITTER OPTIMIZATION FOR MISO SYSTEM WITH SERVICE INTEGRATION OF MULTICASTING AND CONFIDENTIAL BROADCASTING
Shiyu Chen, Zhi Chen, Weidong Mei, Shaoqian Li, University of Electronic Science and Technology of China, China
GS-IFS-O.1.3: STABILITY OF COMMUNICATION LINK CONNECTIVITY AGAINST HOSTILE INTERFERENCE
Andrey Garnaev, Wade Trappe, WINLAB, Rutgers University, United States
GS-IFS-O.1.4: MEDIAN FILTERING FORENSICS BASED ON DISCRIMINATIVE MULTI-SCALE SPARSE CODING
Zunli Hu, Shilin Wang, Shanghai Jiao Tong University, China
GS-IFS-O.1.5: ON THE INDISTINGUISHABILITY OF COMPRESSED ENCRYPTION WITH PARTIAL UNITARY SENSING MATRICES
Nam Yul Yu, Gwangju Institute of Science and Technology (GIST), Korea (South)
GS-IVM-O.3.1: FAST FRACTIONAL-PIXEL MOTION ESTIMATION USING LAGRANGIAN-BASED ERROR SURFACE INTERPOLATION
Emad Badry, Egypt-Japan University for Science and Technology(E-JUST), Egypt; Ahmed Shalaby, Benha University, Egypt; Mohammed Sayed, Egypt-Japan University for Science and Technology(E-JUST), Egypt
GS-IVM-O.3.2: FAST NEAR INFRARED FUSION-BASED ADAPTIVE ENHANCEMENT OF VISIBLE IMAGES
Ahmed Elliethy, Hussein A. Aly, Military Technical College, Egypt
GS-IVM-O.3.3: COLOR IMAGE SEGMENTATION USING ITERATIVE EDGE CUTTING, NUV-EM, AND GAUSSIAN MESSAGE PASSING
Boxiao Ma, Nour Zalmai, Ro´bert Torfason, ETH Zurich, Switzerland; Carina Stritt, EMPA Du¨bendorf, Switzerland; Hans-Andrea Loeliger, ETH Zurich, Switzerland
GS-IVM-O.3.4: A CODEBOOK OF BRIGHTNESS TRANSFER FUNCTIONS FOR IMPROVED TARGET RE-IDENTIFICATION ACROSS NON-OVERLAPPING CAMERA VIEWS
Yu Zheng, Syracuse University, United States; Koray Ozcan, Iowa State University, United States; Senem Velipasalar, Syracuse University, United States
GS-IVM-O.3.5: SELECTIVE PARTS-BASED TRACKING THROUGH OCCLUSIONS
Maria Cornacchia, Senem Velipasalar, Syracuse University, United States
GS-BISP-O.1.1: ASSESSING FUNCTIONAL CONNECTIVITY OF BRAINSTEM NUCLEI IN FMRI DATA
Jiayue Cai, Z. Jane Wang, Soojin Lee, Martin J. McKeown, University of British Columbia, Canada
GS-BISP-O.1.2: 3D SHAPE ASYMMETRY ANALYSIS USING CORRESPONDENCE BETWEEN PARTIAL GEODESIC CURVES
Ola Ahmad, Philippe Debanné, Ecole Polytechnique, Montreal, Canada; Stefan Parent, Hubert Labelle, Centre de recherche du CHU Sainte-Justine, Canada; Farida Cheriet, Ecole Polytechnique, Montreal, Canada
GS-BISP-O.1.3: COMPUTATIONAL SCRATCH ASSAY - A NEW FRONTIER FOR IMAGE ANALYSIS: PRELIMINARY STUDY OF MULTI-CELLULAR SEGMENTATION
Xingyu Li, Konstantinos Plataniotis, University of Tonronto, Canada
GS-BISP-O.1.4: DERIVING 3D SHAPE PROPERTIES BY USING BACKWARD WAVELET REMESHER
Hao-Chiang Shao, Wen-Liang Hwang, Inst. Information Science, Academia Sinica, Taiwan
GS-BISP-O.1.5: BLIND STEREOSCOPIC IMAGE QUALITY ASSESSMENT USING CYCLOPEAN VIEW AND NEURAL NETWORK
Oussama Messai, Fella Hachouf, University of Mentouri Constantine 1, Algeria; Zianou Ahmed Seghir, University of Abbes laghrour Khenchela,, Algeria
GS-SPTM-O.1.1: THE CASCADING HAAR WAVELET ALGORITHM FOR COMPUTING THE WALSH-HADAMARD TRANSFORM
Andrew Thompson, University of Oxford, United Kingdom
GS-SPTM-O.1.2: ROBUST ESTIMATION OF THE SAMPLE MEAN VARIANCE FOR GAUSSIAN PROCESSES WITH LONG-RANGE DEPENDENCE
Lenin Arango-Castillo, Glen Takahara, Queen's University, Canada
GS-SPTM-O.1.3: MODELING NONLINEARITY IN MULTI-DIMENSIONAL DEPENDENT DATA
Qiuyi Han, Jie Ding, Edoardo Airoldi, Vahid Tarokh, Harvard University, United States
GS-SPTM-O.1.4: USING MARGINAL MEDIAN AND BLOCK LEAST MEAN SQUARES IN MOBILE ADAPTIVE NETWORKS
Fotios Mandanas, Constantine Kotropoulos, Aristotle University of Thessaloniki, Greece
GS-SPTM-O.1.5: TIME BASED GAIN CONTROL FOR THE ANALOG TO PULSE CONVERTER
Gabriel Nallathambi, Pulsics, LLC, United States; Jose Principe, University of Florida, United States
GS-SPCOM-O.1.1: ON OPTIMAL SIGNALING OVER GAUSSIAN MIMO CHANNELS UNDER INTERFERENCE CONSTRAINTS
Sergey Loyka, University of Ottawa, Canada
GS-SPCOM-O.1.2: UNSUPERVISED FREQUENCY CLUSTERING ALGORITHM FOR NULL SPACE ESTIMATION IN WIDEBAND SPECTRUM SHARING NETWORKS
Shailesh Chaudhari, Danijela Cabric, University of California, Los Angeles, United States
GS-SPCOM-O.1.3: ALIGNING OR NOT ALIGNING IN MASSIVE MIMO DOWNLINK?
Penghao Cai, Fuqian Yang, Xiaoyu Zhang, ShanghaiTech University, China; Stefano Tomasin, University of Padova, Italy; Xiliang Luo, ShanghaiTech University, China
GS-SPCOM-O.1.4: PARAMETER ESTIMATION FOR HIERARCHICAL CHANNEL PROFILING
Anastasios Dimas, Rutgers, The State University of New Jersey, United States; Dionysios S. Kalogerias, Princeton University, United States; Chryssalenia Koumpouzi, Athina P. Petropulu, Rutgers, The State University of New Jersey, United States
GS-IVM-O.4.1: CNN ORIENTED FAST PU MODE DECISION FOR HEVC HARDWIRED INTRA ENCODER
Nan Song, Zhenyu Liu, Xiangyang Ji, Dongsheng Wang, Tsinghua University, China
GS-IVM-O.4.2: NUMERICAL DIFFERENTIATION OF NOISY, NONSMOOTH, MULTIDIMENSIONAL DATA
Rick Chartrand, Descartes Labs, United States
GS-IVM-O.4.3: SORTING CAMERA TRAP IMAGES
Agnieszka Miguel, Joshua Beard, Chleo Bales-Heisterkamp, Seattle University, United States; Rana Bayrakcismith, Panthera, United States
GS-IVM-O.4.4: HIERARCHICAL MULTINOMIAL LATENT MODEL WITH G0 DISTRIBUTION FOR REMOTE SENSING IMAGE SEMANTIC SEGMENTATION
Yiping Duan, Xiaoming Tao, Chaoyi Han, Jianhua Lu, Tsinghua University, China
GS-IVM-O.4.5: HAND SEGMENTATION FOR HAND-OBJECT INTERACTION FROM DEPTH MAP
Byeongkeun Kang, University of California, San Diego, United States; Kar-Han Tan, NovuMind Inc., United States; Nan Jiang, University of California, San Diego, United States; Hung-Shuo Tai, NovuMind Inc., United States; Daniel Tretter, Hewlett-Packard, Inc., United States; Truong Nguyen, University of California, San Diego, United States
GS-SPCOM-P.1.1: DESIGN OF UNIMODULAR SEQUENCES WITH GOOD AUTOCORRELATION AND GOOD COMPLEMENTARY AUTOCORRELATION PROPERTIES
Israel Alejandro Arriaga-Trejo, CONACYT - Autonomous University of Zacatecas, Mexico; Aldo Gustavo Orozco-Lugo, CINVESTAV, Mexico; Jorge Flores-Troncoso, Autonomous University of Zacatecas, Mexico
GS-SPCOM-P.1.2: ENERGY MINIMIZATION BASED RESOURCE SCHEDULING FOR STRICT DELAY CONSTRAINED WIRELESS COMMUNICATIONS
Ibrahim Fawaz, CEA, France; Philippe Ciblat, Telecom ParisTech, University Paris-Saclay, France; Mireille Sarkiss, CEA, France
GS-SPCOM-P.1.3: MASSIVE MIMO PERFORMANCE WITH TIMING & FREQUENCY ERRORS
Fuqian Yang, Xiaoyu Zhang, Penghao Cai, Xiliang Luo, ShanghaiTech University, China
GS-SPCOM-P.1.4: EXPLOITING THE CYCLOSTATIONARITY OF RADAR CHIRP SIGNALS WITH TIME-VARYING FILTERS
Matt Carrick, Jeffrey Reed, Virginia Tech, United States
GS-SPCOM-P.1.5: WIDEBAND SPECTRUM HOLES DETECTION IMPLEMENTATION FOR COGNITIVE RADIOS
Ian Frasch, Andres Kwasinski, Rochester Institute of Technology, United States
GS-IFS-P.1.1: DIFFERENTIALLY-PRIVATE CANONICAL CORRELATION ANALYSIS
Hafiz Imtiaz, Anand D. Sarwate, Rutgers, The State University of New Jersey, United States
GS-IFS-P.1.2: A WATERMARKING TECHNIQUE TO SECURE PRINTED QR CODES USING A STATISTICAL TEST
Hoai Phuong Nguyen, Agnès Delahaies, Université de Reims Champagne-Ardenne, France; Florent Retraint, Duc Huy Nguyen, Université de Technologie de Troyes, France; Marc Pic, Group SURYS, France; Frédéric Morain-Nicolier, Université de Reims Champagne-Ardenne, France
GS-IFS-P.1.3: RECOGNITION OF SPOOFED VOICE USING CONVOLUTIONAL NEURAL NETWORKS
Huixin Liang, Xiaodan Lin, Qiong Zhang, Xiangui Kang, Sun Yat-sen University, China
GS-IFS-P.1.4: MULTIBIOMETRIC SECURE SYSTEM BASED ON DEEP LEARNING
Veeru Talreja, Matthew Valenti, Nasser Nasrabadi, West Virginia University, United States
GS-SPTM-P.1.1: A MACHINE LEARNING METHOD TO DETERMINE INTRINSIC DIMENSION OF TIME SERIES DATA
Claudio Turchetti, Laura Falaschetti, Università Politecnica delle Marche, Italy
GS-SPTM-P.1.2: PERFORMANCE METRICS FOR ENERGY SPECTRUM ESTIMATION
Christopher Mclean, Michael Pauley, Jonathan Manton, The University of Melbourne, Australia
GS-SPTM-P.1.3: KUIPER TEST BASED MODULATION LEVEL CLASSIFICATION UNDER UNKNOWN FREQUENCY SELECTIVE CHANNELS
Shailesh Chaudhari, Danijela Cabric, University of California, Los Angeles, United States
GS-SPTM-P.1.4: PRINCIPAL ANGLES PRESERVING PROPERTY OF GAUSSIAN RANDOM PROJECTION FOR SUBSPACES
Yuchen Jiao, Gen Li, Yuantao Gu, Tsinghua University, China
GS-SPTM-P.1.5: HAMMERSLEY-CHAPMAN-ROBBINS LOWER BOUNDS ON POLE AND RESIDUE ESTIMATES FROM IMPULSE RESPONSE DATA
Abdullah Al Maruf, Sandip Roy, Washington State University, United States
GS-SPTM-P.1.6: A SINGLE SENSOR PASSIVE LOCALIZATION ALGORITHM USING SECOND DIFFERENCE OF TIME DELAY
Shangyu Zhang, Zhen Huang, Jiazhi He, Tsinghua University, China
GS-SPTM-P.1.7: MATRICES FOR GENERATING EIGENVECTORS OF NUMBER-THEORETIC TRANSFORMS
Jose Oliveira Neto, Juliano Lima, Federal University of Pernambuco, Brazil; Daniel Panario, Carleton University, Canada
GS-SPTM-P.1.8: THE ADAPTIVE COMPLEX SHOCK DIFFUSION FOR SEISMIC RANDOM NOISE ATTENUATION
Yushu Zhang, Hongbo Lin, Jilin University, China
GS-SPTM-P.1.9: WIHACS: LEVERAGING WIFI FOR HUMAN ACTIVITY CLASSIFICATION USING OFDM SUBCARRIERS' CORRELATION
Tahmid Chowdhury, Cyril Leung, University of British Columbia, Canada; Chun Yan Miao, Nanyang Technological University, Singapore
GS-SIPA-P.1.1: SEISMIC AMBIENT NOISE RECONSTRUCTION BASED ON THE MULTI-TAPER SPECTRAL METHOD: APPLICATION TO THE SEISMIC FULL WAVEFORM INVERSION
Pan Zhang, Liguo Han, Fengjiao Zhang, Jilin University, China
GS-SIPA-P.1.2: THE EFFECT OF EMBEDDED INTRAPULSE COMMUNICATIONS ON PULSED RADAR PROBABILITY OF DETECTION
Allison Hunt, Ric Romero, Zachary Staples, Naval Postgraduate School, United States
GS-SIPA-P.1.3: JOINT POWER, BANDWIDTH AND LINK SELECTION OPTIMIZATION FOR D2D MULTIMEDIA COMMUNICATIONS
Zheng Chang, Yang Hu, Yan Chen, Bing Zeng, University of Electronic Science and Technology of China, China
GS-SIPA-P.1.4: MEMORY-ASSISTED SEISMIC SIGNAL COMPRESSION BASED ON DICTIONARY LEARNING AND SPARSE CODING
Xin Tian, Wuhan University, China; Afshin Abdi, Entao Liu, Faramarz Fekri, Georgia Institute of Technology, United States
GS-SIPA-P.1.5: AN INVESTIGATION INTO INSTANTANEOUS FREQUENCY ESTIMATION METHODS FOR IMPROVED SPEECH RECOGNITION FEATURES
Shekhar Nayak, Saurabhchand Bhati, K Sri Rama Murty, Indian Institute of Technology Hyderabad, India
GS-SIPA-P.1.6: VISUAL SPEECH RECOGNITION FOR ISOLATED DIGITS USING DISCRETE COSINE TRANSFORM AND LOCAL BINARY PATTERN FEATURES
Abhilash Jain, Rathna G. N., Indian Institute of Science, Bangalore, India
GS-SIPA-P.1.7: PHASE RETRIEVAL BASED DECONVOLUTION ALGORITHM IN OPTICAL SYSTEMS
Shaohua Qin, Shandong Normal University, China; Sebastian Berisha, David Mayerich, Zhu Han, University of Houston, United States
GS-IVM-P.1.1: SUPER-RESOLUTION FOR 2K/8K TELEVISION USING WAVELET-BASED IMAGE REGISTRATION
Yasutaka Matsuo, Shinichi Sakaida, NHK (Japan Broadcasting Corporation), Japan
GS-IVM-P.1.2: MOVING-OBJECT DETECTION METHOD FOR MOVING CAMERAS BY MERGING BACKGROUND SUBTRACTION AND OPTICAL FLOW METHODS
Kengo Makino, Takashi Shibata, Shoji Yachida, Takuya Ogawa, Katsuhiko Takahashi, NEC Corporation, Japan
GS-IVM-P.1.3: ROBUST MULTI-FRAME SUPER-RESOLUTION WITH ADAPTIVE NORM CHOICE AND DIFFERENCE CURVATURE BASED BTV REGULARIZATION
Xiaohong Liu, Jiying Zhao, University of Ottawa, Canada
GS-IVM-P.1.4: HEVC INTRA FEATURES FOR HUMAN DETECTION
Hyomin Choi, Ivan Bajic, Simon Fraser University, Canada
GS-IVM-P.1.5: A NOVEL APPROACH OF FACIAL EXPRESSION RECOGNITION BASED ON SHEARLET TRANSFORM
Yang Lu, Shigang Wang, Wenting Zhao, Yan Zhao, Jian Wei, Jilin University, China
GS-IVM-P.1.6: FACE DETECTION HINDERING
Panteleimon Chriskos, Aristotle University of Thessaloniki, Greece; Jonathan Munro, Vasileios Mygdalis, University of Bristol, Greece; Ioannis Pitas, Aristotle University of Thessaloniki, Greece
GS-IVM-P.1.7: RGB-D CAMERA POSE ESTIMATION USING DEEP NEURAL NETWORK
Fei Guo, Yifeng He, Ling Guan, Ryerson University, Canada
BIO-O.1.1: USING PORTABLE PHYSIOLOGICAL SENSORS TO ESTIMATE ENERGY COST FOR 'BODY-IN-THE-LOOP' OPTIMIZATION OF ASSISTIVE ROBOTIC DEVICES
Kimberly Ingraham, University of Michigan, United States; Daniel Ferris, University of Florida, United States; C. David Remy, University of Michigan, United States
BIO-O.1.2: GENERATING FORBIDDEN REGION VIRTUAL FIXTURES BY CLASSIFICATION OF MOVEMENT INTENTION BASED ON EVENT-RELATED DESYNCHRONIZATION
Isao Sakamaki, Mahdi Tavakoli, Kim Adams, University of Alberta, Canada
BIO-O.1.3: FUZZY LOGIC BASED ASSESSMENT ON THE ADAPTIVE LEVEL OF REHABILITATION EXERGAMES FOR THE ELDERLY
Hao Zhang, Interdisciplinary Graduate School, Nanyang Technological University, Singapore; Chunyan Miao, School of Computer Science and Engineering (SCSE), Nanyang Technological University, Singapore; Han Yu, Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, Singapore
BIO-O.1.4: BRAIN-COMPUTER INTERFACE AND FUNCTIONAL ELECTRICAL STIMULATION FOR UPPER LIMB REHABILITATION AFTER STROKE
Cesar Marquez-Chin, Aaron Marquis, Naaz Desai, Lorna Lo, Vera Zivanovic, Milos R Popovic, Toronto Rehabilitation Institute - University Health Network, Canada
BIO-O.1.5: A MULTI-RATE AND AUTO-ADJUSTABLE WAVELET DECOMPOSITION FRAMEWORK FOR PATHOLOGICAL HAND TREMOR EXTRACTION
Soroosh Shahtalebi, Arash Mohammadi, Concordia University, Canada; Seyed Farokh Atashzar, Rajni V. Patel, Western University, Canada
BIO-O.2.1: A WEARABLE MOTOR FUNCTION EVALUATION SYSTEM DESIGNED FOR HEMIPARETIC ARM BASED ON SURFACE EMG AND INERTIAL SENSORS
Le Wu, Yanan Gong, University of Science and Technology of China, China; Xiaoping Gao, First Af?liated Hospital of Anhui Medical University, China; Xiang Chen, Xu Zhang, University of Science and Technology of China, China
BIO-O.2.2: DYNAMIC ESTIMATION STRATEGY FOR E-BMFLC FILTERS IN ANALYZING PATHOLOGICAL HAND TREMORS
Vahid Khorasani Ghassab, Arash Mohammadi, Concordia University, Canada; Seyed Farokh Atashzar, Rajni V. Patel, Western University, Canada
BIO-O.2.3: OBJECTIVE ASSESSMENT OF ENVELOPE ENHANCEMENT ALGORITHMS FOR ASSISTIVE HEARING DEVICES
Farid Moshgelani, Vijay Parsa, Western University, Canada
BIO-O.2.4: SIGNAL ANALYSIS AND STOCHASTIC MODELING OF EVOKED RESPONSES IN BRAIN CIRCUITS GROWN IN CULTURE
Mengran Xue, Ping Taishi, Dinuka Sahabandu, Sandip Roy, James Krueger, Washington State University, United States
BIO-O.2.5: CEPSTRUM COEFFICIENTS BASED SLEEP STAGE CLASSIFICATION
Emin Argun Oral, ataturk university, Turkey; Muhammet Mustafa Codur, Erzurum Technical University, Turkey; Ibrahim Yucel Ozbek, ataturk university, Turkey
IOTHC-O.1.1: THE USE OF CO-OCCURRENCE PATTERNS IN SINGLE IMAGE BASED FOOD PORTION ESTIMATION
Shaobo Fang, Fengqing Zhu, Purdue University, United States; Carol J. Boushey, University of Hawaii Cancer Center, United States; Edward Delp, Purdue University, United States
IOTHC-O.1.2: A FRAMEWORK TO ENHANCE ASSISTIVE TECHNOLOGY BASED MOBILITY TRACKING IN INDIVIDUALS WITH SPINAL CORD INJURY
Amir Mohammad Amiri, Noor Shoaib, Shivayogi Hiremath, Temple University, United States
IOTHC-O.1.3: SMART FOG: FOG COMPUTING FRAMEWORK FOR UNSUPERVISED CLUSTERING ANALYTICS IN WEARABLE INTERNET OF THINGS
Debanjan Borthakur, University of Rhode Island, United States; Harishchandra Dubey, University of Texas at Dallas, United States; Nicholas Constant, Leslie Mahler, Kunal Mankodiya, University of Rhode Island, United States
IOTHC-O.1.4: SOA-FOG: SECURE SERVICE-ORIENTED EDGE COMPUTING ARCHITECTURE FOR SMART HEALTH BIG DATA ANALYTICS
Rabindra Barik, KIIT University, India; Harishchandra Dubey, University of Texas at Dallas, USA, United States; Kunal Mankodiya, University of Rhode Island, USA, United States
ITPS-O.1.1: SECURE PARAMETER ESTIMATION: FUNDAMENTAL TRADEOFFS
Saurabh Sihag, Ali Tajer, Rensselaer Polytechnic Institute, United States
ITPS-O.1.2: ON DIFFERENTIALLY PRIVATE KALMAN FILTERING
Kwassi Holali Degue, Jerome Le Ny, Ecole Polytechnique, Montreal, United States
ITPS-O.1.3: STEALTHY SECRET KEY GENERATION
Pin-Hsun Lin, Carsten Janda, Eduard Jorswieck, TU Dresden, Germany
ITPS-O.1.4: DEFENSE AGAINST STEALTHY JAMMING ATTACKS IN WIDE-BAND RADIOS: A PHYSICAL LAYER APPROACH
Tassadaq Nawaz, Lucio Marcenaro, Carlo S. Regazzoni, University of Genoa, Italy
ITPS-O.1.5: CLOSED-FORM SOLUTIONS FOR OPTIMAL SECURE SIGNALING OVER COGNITIVE RADIO MIMO CHANNELS
Limeng Dong, Northwestern Polytechnical University, China; Sergey Loyka, University of Ottawa, Canada; Yong Li, Northwestern Polytechnical University, China
ITPS-O.2.1: NETWORKED ESTIMATION-PRIVACY GAMES
Emrah Akyol, Cedric Langbort, Tamer Basar, University of Illinois at Urbana–Champaign, United States
ITPS-O.2.2: A DEPENDENCY GRAPH FORMALISM FOR THE DYNAMIC DEFENSE OF CYBER NETWORKS
Erik Miehling, Mohammad Rasouli, Demosthenis Teneketzis, University of Michigan, United States
ITPS-O.2.3: ON PRIVACY IN SMART METERING SYSTEMS WITH PERIODICALLY TIME-VARYING INPUT DISTRIBUTION
Yu Liu, Ashish Khisti, University of Toronto, Canada; Aditya Mahajan, McGill University, Canada
ITPS-O.2.4: A MEAN-FIELD STACKELBERG GAME APPROACH FOR OBFUSCATION ADOPTION IN EMPIRICAL RISK MINIMIZATION
Jeffrey Pawlick, Quanyan Zhu, New York University Tandon School of Engineering, United States
ITPS-O.2.5: REACTANCE PERTURBATION FOR ENHANCING DETECTION OF FDI ATTACKS IN POWER SYSTEM STATE ESTIMATION
Chensheng Liu, Min Zhou, Jing Wu, Chengnian Long, Shanghai Jiao Tong University, China; Abdallah Farraj, Eman Hammad, Deepa Kundur, University of Toronto, Canada
RMN-O.1.1: DIST-HEDGE: A PARTIAL INFORMATION SETTING BASED DISTRIBUTED NON-STOCHASTIC SEQUENCE PREDICTION ALGORITHM
Anit Kumar Sahu, Soummya Kar, Carnegie Mellon University, United States
RMN-O.1.2: DECENTRALIZED EFFICIENT NONPARAMETRIC STOCHASTIC OPTIMIZATION
Alec Koppel, Santiago Paternain, University of Pennsylvania, United States; Cedric Richard, University of Nice Sophia-Antipolis, France; Alejandro Ribeiro, University of Pennsylvania, United States
RMN-O.1.3: DECENTRALIZED COMPUTATION OF EFFECTIVE RESISTANCES AND ACCELERATION OF CONSENSUS ALGORITHMS
Necdet Serhat Aybat, Penn State University, United States; Mert Gurbuzbalaban, Rutgers University, United States
RMN-O.1.4: A GUARANTEED COST LMI-BASED APPROACH FOR EVENT-TRIGGERED AVERAGE CONSENSUS IN MULTI-AGENT NETWORKS
Amir Amini, Arash Mohammadi, Amir Asif, Concordia University, Canada
RMN-O.1.5: CONVERGENCE ANALYSIS OF BELIEF PROPAGATION FOR PAIRWISE LINEAR GAUSSIAN MODELS
Jian Du, Carnegie Mellon University, United States; Shaodan Ma, University of Macau, China; Yik-Chung Wu, The University of Hong Kong, China; Soummya Kar, Jose Moura, Carnegie Mellon University, United States
RMN-O.2.1: BI-LEVEL DYNAMIC OPTIMIZATION WITH FEEDBACK
Andrey Bernstein, Emiliano Dall'Anese, National Renewable Energy Laboratory, United States
RMN-O.2.2: MULTI-AGENT CONSTRAINED OPTIMIZATION OF A STRONGLY CONVEX FUNCTION
Erfan Yazdandoost Hamedani, Necdet Serhat Aybat, Penn State University, United States
RMN-O.2.3: THE ROLE OF ASYMPTOTIC FUNCTIONS IN NETWORK OPTIMIZATION AND FEASIBILITY STUDIES
Renato L. G. Cavalcante, Slawomir Stanczak, Fraunhofer Heinrich Hertz Institute, Germany
RMN-O.2.4: DECENTRALIZED BUNDLE METHOD FOR NONSMOOTH CONSENSUS OPTIMIZATION
Zifeng Wang, Qing Ling, University of Science and Technology of China, China; Wotao Yin, University of California, Los Angeles, United States
RMN-O.2.5: AN EMPIRICAL COMPARISON OF MULTI-AGENT OPTIMIZATION ALGORITHMS
Mahmoud Assran, Michael Rabbat, McGill University, Canada
RMN-P.1.1: A THEORY OF GENERALIZED PROXIMITY FOR ADMM
François Côté, Ioannis Psaromiligkos, Warren Gross, McGill University, Canada
GSP-O.1.1: A DIGRAPH FOURIER TRANSFORM WITH SPREAD FREQUENCY COMPONENTS
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
GSP-O.1.2: SEMI-PARAMETRIC GRAPH KERNEL-BASED RECONSTRUCTION
Vassilis N. Ioannidis, Athanasios N. Nikolakopoulos, Georgios B. Giannakis, University of Minnesota, United States
GSP-O.1.3: AUTOREGRESSIVE MOVING AVERAGE GRAPH FILTER DESIGN
Jiani Liu, Elvin Isufi, Geert Leus, Delft University of Technology, Netherlands
GSP-O.1.4: LEARNING GRAPHS WITH MONOTONE TOPOLOGY PROPERTIES
Eduardo Pavez, Hilmi E. Egilmez, Antonio Ortega, University of Southern California, United States
GSP-O.1.5: FINITE-PRECISION EFFECTS ON GRAPH FILTERS
Luiz F. O. Chamon, Alejandro Ribeiro, University of Pennsylvania, United States
GSP-O.2.1: TOPOLOGY DESIGN TO REDUCE ENERGY CONSUMPTION OF DISTRIBUTED GRAPH FILTERING IN WSN
Leila Ben Saad, César Asensio-Marco, Baltasar Beferull-Lozano, University of Agder, Norway
GSP-O.2.2: OPTIMAL SAMPLING POLICY FOR QUICKEST CHANGE DETECTION
Tze Siong Lau, Wee Peng Tay, Nanyang Technological University, Singapore
GSP-O.2.3: EVALUATING GRAPH SIGNAL PROCESSING FOR NEUROIMAGING THROUGH CLASSIFICATION AND DIMENSIONALITY REDUCTION
Mathilde Ménoret, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon, IMT Atlantique, France
GSP-O.2.4: LEARNING LOCAL RECEPTIVE FIELDS AND THEIR WEIGHT SHARING SCHEME ON GRAPHS
Jean-Charles Vialatte, City Zen Data, IMT Atlantique, CNRS Lab-STICC, France; Vincent Gripon, Gilles Coppin, IMT Atlantique, CNRS Lab-STICC, France
GSP-O.2.5: SEMIBLIND SUBGRAPH RECONSTRUCTION IN GAUSSIAN GRAPHICAL MODELS
Tianpei Xie, Sijia Liu, Alfred O. Hero III, University of Michigan, Ann Arbor, United States
GSP-P.1.1: DESIGN OF POLYNOMIAL APPROXIMATED FILTERS FOR SIGNALS ON DIRECTED GRAPHS
Akie Sakiyama, Tatsuro Namiki, Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan
GSP-P.1.2: MULTIPLE SOURCES IDENTIFICATION IN NETWORKS WITH PARTIAL TIMESTAMPS
Wenchang Tang, Feng Ji, Wee Peng Tay, Nanyang Technological University, Singapore
GSP-P.1.3: DISTRIBUTED ESTIMATION OF SMOOTH GRAPH POWER SPECTRAL DENSITY
Fernando Gama, Alejandro Ribeiro, University of Pennsylvania, United States
GSP-P.1.4: ACTIVE SAMPLING FOR GRAPH-AWARE CLASSIFICATION
Dimitris Berberidis, Georgios B. Giannakis, University of Minnesota, United States
GSP-P.1.5: DESIGN OF SAMPLING SET FOR BANDLIMITED GRAPH SIGNAL ESTIMATION
Xuan Xie, Hui Feng, Junlian Jia, Bo Hu, Fudan University, China
GSP-P.1.6: DOWNSAMPLING ON BIPARTITE GRAPHS: AN ALGEBRAIC PERSPECTIVE
Nileshkumar Vaishnav, Aditya Tatu, Dhirubhai Ambani Institute Of Information Technologies, India
GSP-P.1.7: GRAPH-BASED EXTRACTION OF SHAPE FEATURES FOR LEAF CLASSIFICATION
Andrew Zhao, Denis Tsygankov, Peng Qiu, Georgia Institute of Technology, United States
GSP-P.1.8: GRAPH SIGNALS CLASSIFICATION USING TOTAL VARIATION AND GRAPH ENERGY INFORMATIONS
Hadj Ahmed Bay Ahmed, Delphine Dare, Abdel Boudraa, Ecole Navale, France
GSP-P.1.9: FRACTIONAL SHIFT OF GRAPH SIGNALS
Guilherme Ribeiro, Juliano Lima, Federal University of Pernambuco, Brazil
KBMC-O.1.1: LOMO3D DESCRIPTOR FOR VIDEO-BASED PERSON RE-IDENTIFICATION
Sutong Zheng, Beijing University of Posts and Telecommunications, China; Xiaoyu Li, Academy of Broadcasting Science, China; Zhuqing Jiang, Beijing University of Posts and Telecommunications, China; Xiaoqiang Guo, Academy of Broadcasting Science, China
KBMC-O.1.2: A PANORAMIC SURVEY METHOD BASED ON GESTURE RECOGNITION
Jiyang Jiang, Ya-Fei Li, Shuang Xu, Xin Zhang, Chenggang Yan, Hangzhou Dianzi University, China; Liang Li, Institute of Computing Technology, Chinese Academy of Sciences, China
KBMC-O.1.3: PERSON RE-IDENTIFICATION BY COMBINING SALIENCE AND COLOR
Lei Huang, Zhiqiang Wei, Jie Nie, Wenfeng Zhang, Guanqun Wei, Zhen Li, Ocean University of China, China
KBMC-O.1.4: INCREMENTAL CFS CLUSTERING ON LARGE DATA
Liang Zhao, Zhikui Chen, Dalian University of Technology, China; Yi Yang, Beihang University, China
KBMC-O.1.5: ONLINE MULTI-TARGET TRACKING VIA DEPTH RANGE SEGMENTATION
Hongyang Yu, Harbin Institute of Technology, China; Lei Qin, Qingming Huang, University of Chinese Academy of Sciences, China; Hongxun Yao, Harbin Institute of Technology, China; Liang Li, Institute of Computing Technology of the Chinese Academy of Sciences, China
KBMC-O.2.1: IMAGE CLASSIFICATION BY PRINCIPAL COMPONENT ANALYSIS OF MULTI-CHANNEL DEEP FEATURE
Ping Wang, Hangzhou Dianzi University, China; Liang Li, Institute of Computing Technology, Chinese Academy of Sciences, China; Chenggang Yan, Hangzhou Dianzi University, China
KBMC-O.2.2: AN EFFICIENT DEEP LEARNING HASHING NEURAL NETWORK FOR MOBILE VISUAL SEARCH
Heng Qi, Wu Liu, Liang Liu, Beijing University of Posts and Telecommunications, China
KBMC-O.2.3: SEMANTIC SENTENCE EMBEDDINGS FOR PARAPHRASING AND TEXT SUMMARIZATION
Chi Zhang, Shagan Sah, Thang Nguyen, Dheeraj Peri, Rochester Institute of Technology, United States; Alexander Loui, Kodak Alaris Inc., United States; Carl Salvaggio, Raymond Ptucha, Rochester Institute of Technology, United States
KBMC-O.2.4: RESEARCH AND DEVELOPMENT OF CAMERA SERIAL PORT CONTROL PROTOCOL
Shinan Xu, Chenggang Yan, Hangzhou Dianzi University, China; Hang Shao, Zhejiang Future Technology Institute (Jiaxing), China; Yaoqi Sun, Hangzhou Dianzi University, China
LMD-O.1.1: SEGMENTATION OF CORONARY ARTERIES FROM X-RAY ANGIOGRAPHY SEQUENCES DURING CONTRAST FLUID PROPAGATION BY IMAGE REGISTRATION
Mahdieh Khanmohammadi, Kjersti Engan, Trygve Eftestøl, University of Stavanger, Norway; Charlotte Sæland, Alf Inge Larsen, Stavanger University Hospital, Norway
LMD-O.1.2: ARTERY/VEIN CLASSIFICATION IN FUNDUS IMAGES USING CNN AND LIKELIHOOD SCORE PROPAGATION
Fantin Girard, Farida Cheriet, Polytechnique Montreal, Canada
LMD-O.1.3: MULTICLASS BAYESIAN FEATURE SELECTION
Ali Foroughi pour, Lori A. Dalton, The Ohio State University, United States
LMD-O.1.4: CLASSIFYING IMAGES IN A HISTOPATHOLOGICAL DATASET USING THE CUMULATIVE DISTRIBUTION TRANSFORM ON AN AUTOMATA ARCHITECTURE
Tiffany Ly, Rituparna Sarkar, Kevin Skadron, Scott Acton, University of Virginia, United States
LMD-O.1.5: ASSESSING THE PROGNOSTIC IMPACT OF 3D CT IMAGE TUMOUR RIND TEXTURE FEATURES ON LUNG CANCER SURVIVAL MODELLING
Alanna Vial, David Stirling, University of Wollongong, Australia; Matthew Field, Liverpool and Macarthar Cancer Therapy Centres and Ingham Institute, Australia; Montserrat Ros, Christian Ritz, University of Wollongong, Australia; Martin Carolan, Illawarra Cancer Care Centre, Australia; Lois Holloway, Liverpool and Macarthar Cancer Therapy Centres and Ingham Institute, Australia; Alexis A. Miller, Illawarra Cancer Care Centre, Australia
LMD-O.2.1: INCREMENTAL MODELLING OF TRANSCRIPTIONAL REGULATORY NETWORKS
Sachin Prabhu H. R., Hua-Liang Wei, The University of Sheffield, United Kingdom
LMD-O.2.2: SEGMENTATION AND TRACKING OF INFERIOR VENA CAVA IN ULTRASOUND IMAGES USING A NOVEL POLAR ACTIVE CONTOUR ALGORITHM
Ebrahim Karami, Mohamed Shehata, Andrew Smith, Memorial University, Canada
LMD-O.2.3: DETECTING STRUCTURAL CHANGES IN DEPENDENT DATA
Jie Ding, Yu Xiang, Lu Shen, Vahid Tarokh, Harvard University, United States
LMD-O.2.4: AUTOMATIC ACCURACY ASSESSMENT OF ULTRASOUND ELASTOGRAPHY USING CORRELATION PROFILE AND PRIOR INFORMATION OF DISPLACEMENT CONTINUITY
Mohamad Ghasemi Amidabadi, M. Omair Ahmad, Hassan Rivaz, Concordia University, Canada
LMD-O.2.5: AN AUTOMATED FRAMEWORK FOR EMOTIONAL FMRI DATA ANALYSIS USING COVARIANCE MATRIX
Vahab Youssofzadeh, Cincinnati Children’s Hospital Medical Center, United States; Zahid Akhtar, University of Quebec, Canada; Amir Mohammad Amiri, Temple University, United States; Tiago Falk, University of Quebec, Canada
ADL-O.1.1: PARALLEL COMPUTING HEURISTICS FOR LOW-RANK MATRIX COMPLETION
Charlie Hubbard, Chinmay Hegde, Iowa State University, United States
ADL-O.1.2: SENSITIVITY-BASED ACCELERATION AND COMPRESSION ALGORITHM FOR CONVOLUTION NEURAL NETWORK
Yue Niu, Northwestern Polytechnical University, China; Zhenyu Liu, Tsinghua University, China; Chunsheng Mei, Northwestern Polytechnical University, China; Xiangyang Ji, Tsinghua University, China; Wei Zhou, Northwestern Polytechnical University, China; Dongsheng Wang, Tsinghua University, China
ADL-O.1.3: FPGA ACCELERATION OF BAYESIAN MODEL BASED ANALYSIS FOR TIME-INDEPENDENT PROBLEMS
Humberto Trimino Mora, Sergey Bozhenkov, Jens Knauer, Petra Kornejew, Sehyun Kwak, Oliver Ford, Golo Fuchert, Ekkehard Pasch, Jakob Svensson, Andreas Werner, Robert Christian Wolf, Max-Planck-Institut für Plasmaphysik, Germany; Dirk Timmermann, Rostock University, Germany
ADL-O.1.4: A VIDEO DEHAZING SYSTEM BASED ON FAST AIRLIGHT ESTIMATION
Yongmin Park, Tae-Hwan Kim, Korea Aerospace University, Korea (South)
ADL-O.1.5: A 200MHZ 202.4GFLOPS@10.8W VGG16 ACCELERATOR IN XILINX VX690T
Chunsheng Mei, Northwestern Polytechnical University, China; Zhenyu Liu, Tsinghua University, China; Yue Niu, Northwestern Polytechnical University, China; Xiangyang Ji, Tsinghua University, China; Wei Zhou, Northwestern Polytechnical University, China; Dongsheng Wang, Tsinghua University, China
ADL-O.2.1: INCREMENTAL LEARNING ON CHIP
Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jezequel, IMT Atlantique, France
ADL-O.2.2: MOVING OBJECT DETECTION IN VIDEOS USING PRINCIPAL COMPONENT PURSUIT AND CONVOLUTIONAL NEURAL NETWORKS
Enrique D. Tejada, Paul A. Rodriguez, Pontificia Universidad Catolica del Peru, Peru
ADL-O.2.3: EFFICIENT SEGMENTATION-AIDED TEXT DETECTION FOR INTELLIGENT ROBOTS
Junting Zhang, Yuewei Na, Siyang Li, C.-C. Jay Kuo, University of Southern California, United States
ADL-O.2.4: EVALUATION OF SUPER-RESOLUTION ON BIRD DETECTION PERFORMANCE BASED ON DEEP CONVOLUTIONAL NETWORKS
Ce Li, China University of Mining & Technology, China; Hanwen Hu, Baochang Zhang, Beihang University, China
ADL-O.2.5: CNN-DETECTOR-BASED MULTIPLE HOMOGENEOUS OBJECTS TRACKING UNDER STOCHASTIC WIDE-RANGE OCCLUSIONS
Yan Li, Xianbin Cao, Junying Liu, Baochang Zhang, Beihang University, China
SCIOT-O.1.1: OCCUPANT-LOCATION-CATERED CONTROL OF IOT-ENABLED BUILDING HVAC SYSTEMS
Amirkhosro Vosughi, Mengran Xue, Sandip Roy, Washington State University, United States
SCIOT-O.1.2: OCCUPANT TRACKING IN SMART FACILITIES: AN EXPERIMENTAL STUDY
Dimitrios Sikeridis, Michael Devetsikiotis, The University of New Mexico, United States; Ioannis Papapanagiotou, Netflix, United States
SCIOT-O.1.3: PERFORMANCE EVALUATION OF BEACONS FOR INDOOR LOCALIZATION IN SMART BUILDINGS
Andrew Mackey, Petros Spachos, University of Guelph, Canada
SCIOT-O.1.4: MONITORING ROAD SURFACE ANOMALIES TOWARDS DYNAMIC ROAD MAPPING FOR FUTURE SMART CITIES
Amr S. El-Wakeel, Jin Li, Muhammed Tahsin Rahman, Aboelmagd Noureldin, Hossam S. Hassanein, Queen's University, Canada
SCIOT-O.1.5: PARTICIPATORY DETECTION OF IDENTITY THEFT ON MOBILE SOCIAL PLATFORMS
Philip A. K. Lorimer, Victor Ming-Fai Diec, Burak Kantarci, University of Ottawa, Canada
SCIOT-O.2.1: CONTEXT-AWARE FEATURE QUERY TO IMPROVE THE PREDICTION PERFORMANCE
Mohammad Kachuee, Anahita Hosseini, Babak Moatamed, Sajad Darabi, Majid Sarrafzadeh, University of California, Los Angeles, United States
SCIOT-O.2.2: SCATTERING FEATURES FOR MULTIMODAL GAIT RECOGNITION
Srdan Kitic, Gilles Puy, Patrick Pérez, Philippe Gilberton, Technicolor, France
SCIOT-O.2.3: PERFORMANCE ANALYSIS OF SMART AUDIO PRE-PROCESSING FOR NOISE-ROBUST TEXT-INDEPENDENT SPEAKER RECOGNITION
Igor Bisio, Chiara Garibotto, Fabio Lavagetto, Andrea Sciarrone, University of Genoa, Italy
SCIOT-O.2.4: MINIMAX GAME-THEORETIC APPROACH TO MULTISCALE H-INFINITY OPTIMAL FILTERING
Hamza Anwar, Quanyan Zhu, New York University, United States
SCIOT-O.2.5: AUTONOMOUS NAVIGATION OF UAV IN LARGE-SCALE UNKNOWN COMPLEX ENVIRONMENT WITH DEEP REINFORCEMENT LEARNING
Chao Wang, Jian Wang, Xudong Zhang, Xiao Zhang, Tsinghua University, China
FDX-O.1.1: GENERALIZED MATRIX COMPLETION FOR LOW COMPLEXITY TRANSCEIVER PROCESSING IN CACHE-AIDED FOG-RAN VIA THE BURER-MONTEIRO APPROACH
Kai Yang, Yuanming Shi, ShanghaiTech University, China; Zhi Ding, University of California, Davis, United States
FDX-O.1.2: SPARSE NEAR-EQUIANGULAR TIGHT FRAMES WITH APPLICATIONS IN FULL DUPLEX WIRELESS COMMUNICATION
Andrew Thompson, University of Oxford, United Kingdom; Robert Calderbank, Duke University, United States
FDX-O.1.3: PACKET SEPARATION IN RANDOM ACCESS CHANNELS VIA APPROXIMATE SPARSE RECOVERY
Gal Shulkind, Massachusetts Institute of Technology, United States; Milutin Pajovic, Philip Orlik, Mitsubishi Electric Research Laboratories, United States
FDX-O.1.4: DIGITAL PREDISTORTION OF HARDWARE IMPAIRMENTS FOR FULL-DUPLEX TRANSCEIVERS
Andrew Austin, The University of Auckland, New Zealand; Orion Afisiadis, Andreas Burg, Ecole Polytechnique Federale de Lausanne, Switzerland
FDX-O.1.5: ROBUST TIMING SYNCHRONIZATION FOR FULL DUPLEX COMMUNICATIONS: DESIGN AND IMPLEMENTATION
MinKeun Chung, Liang Liu, Ove Edfors, Lund University, Sweden; Dong Ku Kim, Chan-Byoung Chae, Yonsei University, Korea (South)
FDX-O.2.1: FULL-DUPLEX TWO-WAY MIMO RELAYING SYSTEM: TRANSCEIVER DESIGN AND REVIEW OF PHYSICAL LAYER SECURITY
Nachiket Ayir, Ubaidulla Pandarakkottilil, International Institute of Information Technology - Hyderabad, India
FIN-O.1.1: PROPENSITY MODELING FOR EMPLOYEE RE-SKILLING
Moninder Singh, Karthikeyan Ramamurthy, IBM Thomas J. Watson Research Center, United States; Shrihari Vasudevan, IBM Research, India
FIN-O.1.2: ONLINE LEARNING IN LIMIT ORDER BOOK TRADE EXECUTION
Nima Akbarzadeh, Cem Tekin, Bilkent University, Turkey; Mihaela Van der Schaar, Oxford University, United Kingdom
FIN-O.1.3: INTERACTIVE GAUSSIAN-SUM FILTERING FOR ESTIMATING SYSTEMATIC RISK IN FINANCIAL ECONOMETRICS
Arash Mohammadi, Concordia University, Canada; Xiao-Ping Zhang, Ryerson University, Canada; Konstantinos N. Plataniotis, University of Toronto, Canada
FIN-O.1.4: ROBUST ESTIMATION OF MEAN AND COVARIANCE MATRIX FOR INCOMPLETE DATA IN FINANCIAL APPLICATIONS
Junyan Liu, Daniel P. Palomar, Hong Kong University of Science and Technology, China
FIN-O.1.5: ROBUST MAXIMUM LIKELIHOOD ESTIMATION OF SPARSE VECTOR ERROR CORRECTION MODEL
Ziping Zhao, Daniel P. Palomar, The Hong Kong University of Science and Technology, China
FIN-P.1.1: THE IMPACT OF SPORTS SENTIMENT ON STOCK RETURNS: A CASE STUDY FROM PROFESSIONAL SPORTS LEAGUES
Qingliang Fan, Wenwen Lei, Xiamen University, China; Xiao-Ping Zhang, Rryerson University, Canada
FIN-P.1.2: AUTOMATIC QUESTION-ANSWERING USING A DEEP SIMILARITY NEURAL NETWORK
Shervin Minaee, New York University, United States; Zhu Liu, AT&T Research labs, United States
FIN-P.1.3: OPTIMAL PREDICTION OF DATA WITH UNKNOWN ABRUPT CHANGE POINTS
Jie Ding, Jiawei Zhou, Vahid Tarokh, Harvard University, United States
HCE-O.1.1: CONNECTIVITY-BASED PARCELLATION OF FUNCTIONAL SUB-REGIONS FROM BRAIN FMRI SIGNALS
Nandinee Fariah Haq, Sun Nee Tan, Martin J. McKeown, Z. Jane Wang, The University of British Columbia, Canada
HCE-O.1.2: MULTISCALE EVOLUTION OF ATTRACTOR-SHAPE DESCRIPTORS FOR ASSESSING PARKINSON'S DISEASE SEVERITY
Anirudh Som, Narayanan Krishnamurthi, Vinay Venkataraman, Arizona State University, United States; Karthikeyan Natesan Ramamurthy, IBM Thomas J. Watson Research Center, United States; Pavan Turaga, Arizona State University, United States
HCE-O.1.3: MULTI-MODAL FETAL ECG EXTRACTION USING MULTI-KERNEL GAUSSIAN PROCESSES
Bharathi Surisetti, Richard M. Dansereau, Carleton University, Canada
HCE-O.1.4: MODIFIED DYNAMIC TIME WARPING (MDTW) FOR ESTIMATING TEMPORAL DIETARY PATTERNS
Nitin Khanna, Indian Institute of Technology Gandhinagar, India, India; Heather A. Eicher-Miller, Purdue University, West Lafayette, United States; Hemant K. Verma, Indian Institute of Technology Gandhinagar, India, India; Carol J. Boushey, University of Hawaii Cancer Center, United States; Saul B. Gelfand, Edward Delp, Purdue University, West Lafayette, United States
HCE-O.1.5: HIGH PERFORMANCE EEG FEATURE EXTRACTION FOR FAST EPILEPTIC SEIZURE DETECTION
Ramy Hussein, Mohamed Elgendi, Rabab Ward, University of British Columbia, Canada; Amr Mohamed, Qatar University, Qatar
HCE-O.2.1: PROGRESSIVE TONE MAPPING OF BRAIN IMAGES AT SINGLE-NEURON RESOLUTION
Puning Zhao, Zhiwei Xiong, Dong Liu, Hao Wang, Chaoyu Yang, Lufeng Ding, Weiping Ding, Zheng-Jun Zha, Guoqiang Bi, Feng Wu, University of Science and Technology of China, China
HCE-O.2.2: DEEP LEARNING BASED AUTOMATIC DIAGNOSES OF ATTENTION DEFICIT HYPERACTIVE DISORDER
Liang Zou, Jiannan Zheng, Martin J. McKeown, The University of British Columbia, Canada
HCE-O.2.3: ENHANCED SLEEP SPINDLE DETECTOR BASED ON THE FUJIMORI METHOD
Yuka Kawashima, Takashi Yoshida, Tokyo University of Science, Japan; Mitsuo Hayashi, Hiroshima University, Japan; Naoyuki Aikawa, Tokyo University of Science, Japan
HCE-O.2.4: A NOVEL BCI BASED ON 3D STEREO STIMULI AND ITS APPLICATION FOR CLINICAL OBJECT RECOGNITION ASSESSMENT
Fei Wang, Yalin Liu, South China University of Technology, China; Yuan Cao, Guangzhou General Hospital of Guangzhou Military Command, China; Jun Qu, South China University of Technology, China; Yanbin He, Ronghao Yu, Guangzhou General Hospital of Guangzhou Military Command, China; Yuanqing Li, South China University of Technology, China
HCE-O.2.5: A NOVEL FEW-CHANNEL STRATEGY FOR REMOVING MUSCLE ARTIFACTS FROM MULTICHANNEL EEG DATA
Xueyuan Xu, Aiping Liu, Xun Chen, Hefei University of Technology, China
HCE-O.3.1: THE EFFECT OF ULTRASOUND SCATTERER SIZE ON TEMPORAL ENHANCED ULTRASOUND
Si Jia Li, Jack Barnes, Queen's University, Canada; Purang Abolmaesumi, University of British Columbia, Canada; Hans-Peter Loock, Parvin Mousavi, Queen's University, Canada
HCE-O.3.2: A UNIFIED FRAMEWORK OF THIRD ORDER TIME AND FREQUENCY DOMAIN ANALYSIS FOR NEURAL SPIKE TRAINS
Yaoru Yang, David Halliday, University of York, United Kingdom
HCE-O.3.3: CONSTRUCTING A FOUR-CLASS BCI BASED ON SEQUENTIAL MOTOR IMAGERY TASKS: AN ASYNCHRONOUS PARADIGM
Jun Jiang, Boxin Zhao, Peng Zhang, Aeronautical and Astronautical Engineering College, Air Force Engineering University, China
HCE-O.3.4: ADAPTIVE DIMENSIONALITY REDUCTION METHOD USING GRAPH-BASED SPECTRAL DECOMPOSITION FOR MOTOR IMAGERY-BASED BRAIN-COMPUTER INTERFACES
Golnar Kalantar, Hamidreza Sadreazami, Arash Mohammadi, Amir Asif, Concordia University, Canada
HCE-P.1.1: A MOBILE EEG SYSTEM FOR PRACTICAL APPLICATIONS
Xiaoshan Huang, Department of Biomedical Engineering, Tsinghua University; Neuracle Technology Co. Ltd, China; Erwei Yin, National Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Center, China; Yijun Wang, State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, China; Rami Saab, Xiaorong Gao, Department of Biomedical Engineering, Tsinghua University, Canada
HCE-P.1.2: HEART SOUND SEGMENTATION USING SWITCHING LINEAR DYNAMICAL MODELS
Fuad Noman, Sh-Hussain Salleh, Chee-Ming Ting, Hadri Hussain, Universiti Teknologi Malaysia, Malaysia
HCE-P.1.3: CLINICAL ACCURACY QRS DETECTOR WITH AUTOMATIC PARAMETER ADJUSTMENT IN AN AUTONOMOUS, REAL-TIME PHYSIOLOGIC MONITOR
Samuel Cerqueira Pinto, Technological Institute of Aeronautics, Brazil; Christopher Felton, Mayo Clinic, United States; Lukas Smital, Brno University of Technology, Czech Republic; Barry Gilbert, David Holmes III, Clifton Haider, Mayo Clinic, United States
HCE-P.1.4: SEQUENTIAL SOURCE LOCALIZATION ON GRAPHS: A CASE STUDY OF CHOLERA OUTBREAK
Sabina Zejnilovic, Joao Gomes, Institute for Systems and Robotics, Portugal; Bruno Sinopoli, Carnegie Mellon University, United States
SGI-O.1.1: MOTIF-BASED ANALYSIS OF POWER GRID ROBUSTNESS UNDER ATTACKS
Asim Dey, Yulia Gel, University of Texas at Dallas, United States; Vincent Poor, Princeton University, United States
SGI-O.1.2: DEMAND AND FLEXIBILITY OF RESIDENTIAL APPLIANCES: AN EMPIRICAL ANALYSIS
Yuting Ji, Ram Rajagopal, Stanford University, United States
SGI-O.1.3: A SIMPLE PAYOFF ALLOCATION MECHANISM ACHIEVES EFFICIENCY AND STABILITY IN RENEWABLE ENERGY AGGREGATION
Hossein Khazaei, Yue Zhao, Stony Brook University, United States
SGI-O.1.4: IMPROVING SOCIAL WELFARE BY DEMAND RESPONSE GENERAL FRAMEWORK AND QUANTITATIVE CHARACTERIZATION
Ding Xiang, Ermin Wei, Northwestern University, United States
SGI-O.1.5: MANAGING LOAD CONTRACT RESTRICTIONS WITH ONLINE LEARNING
Rodrigo Henriquez, Pontificia Universidad Catolica de Chile, Chile; Antoine Lesage-Landry, Joshua A. Taylor, University of Toronto, Canada; Daniel E. Olivares, Matias Negrete-Pincetic, Pontificia Universidad Catolica de Chile, Chile
SGI-O.2.1: FEEDBACK-BASED PROJECTED-GRADIENT METHOD FOR REAL-TIME OPTIMIZATION OF AGGREGATIONS OF ENERGY RESOURCES
Emiliano Dall'Anese, Andrey Bernstein, National Renewable Energy Laboratory, United States; Andrea Simonetto, IBM Ireland, Ireland
SGI-O.2.2: REAL-TIME OPTIMAL POWER FLOW
Yujie Tang, Steven Low, California Institute of Technology, United States
SGI-O.2.3: REAL-TIME ENERGY MANAGEMENT WITH IMPROVED COST-CAPACITY TRADEOFF
Bingcong Li, Fudan University, China; Tianyi Chen, University of Minnesota, United States; Xin Wang, Fudan University, China; Georgios B. Giannakis, University of Minnesota, United States
SGI-O.2.4: CHANCE CONSTRAINED OPTIMIZATION OF DISTRIBUTED ENERGY RESOURCES VIA AFFINE POLICIES
Krishna Sandeep Ayyagari, Nikolaos Gatsis, Ahmad F. Taha, The University of Texas at San Antonio, United States
SGI-O.2.5: A GAME-THEORETIC APPROACH FOR COMMUNICATION-FREE VOLTAGE-VAR OPTIMIZATION
Kaiqing Zhang, Hao Zhu, University of Illinois at Urbana–Champaign, United States
SGI-O.3.1: DECENTRALIZED POWER SYSTEM STATE ESTIMATION VIA NON-CONVEX MULTI-AGENT OPTIMIZATION
Aritra Konar, Ahmed Zamzam, Nicholas Sidiropoulos, University of Minnesota - Twin Cities, United States
SGI-O.3.2: QUICKEST LINE OUTAGE LOCALIZATION UNDER UNKNOWN MODEL
Javad Heydari, Rensselaer Polytechnic Institute, United States; Zeyu Sun, Peking University, China; Ali Tajer, Rensselaer Polytechnic Institute, United States
SGI-O.3.3: POWER DISTRIBUTION SYSTEM OBSERVABILITY WITH SMART METER DATA
Siddharth Bhela, Vassilis Kekatos, Virginia Tech, United States; Sriharsha Veeramachaneni, Windlogics Inc., United States
SGI-O.3.4: STATE AND NOISE COVARIANCE ESTIMATION IN POWER GRIDS USING LIMITED NODAL PMUS
Deepjyoti Deka, Los Alamos National Laboratory, United States; Armin Zare, University of Southern California, United States; Andrey Lokhov, Los Alamos National Laboratory, United States; Mihailo Jovanovic, University of Southern California, United States; Michael Chertkov, Los Alamos National Laboratory, United States
SGI-O.3.5: BLIND ESTIMATION OF STATES AND TOPOLOGY (BEST) IN POWER SYSTEMS
Idan Gera, Yair Yakoby, Tirza Routtenberg, Ben-Gurion University of the Negev, Israel
SGI-P.1.1: DYNAMIC ADMM FOR REAL-TIME OPTIMAL POWER FLOW
Yijian Zhang, Iowa State University, United States; Emiliano Dall'Anese, National Renewable Energy Laboratory, United States; Mingyi Hong, Iowa State University, United States
SGI-P.1.2: DELAY AWARE MEASUREMENTS GATHERING IN WAMS COMMUNICATION NETWORK
Reem Kateb, Parisa Akaber, Mosaddek H.K. Tushar, Mourad Debbabi, Chadi Assi, Concordia University, Canada
SGI-P.1.3: DATA INJECTION ATTACKS IN ELECTRICITY MARKETS: STOCHASTIC ROBUSTNESS
Ali Tajer, Rensselaer Polytechnic Institute, United States
SGI-P.1.4: IEC-61850 GOOSE TRAFFIC MODELING AND GENERATION
Omar Hegazi, Eman Hammad, Abdallah Farraj, Deepa Kundur, University of Toronto, Canada
SGI-P.1.5: SIMPLIFIED IMPLEMENTATION AND CONTROL OF A FLYWHEEL ENERGY SYSTEM FOR MICROGRID APPLICATIONS
Pranav Pattabi, Eman Hammad, Abdallah Farraj, Deepa Kundur, University of Toronto, Canada
SGI-P.1.6: INCORPORATING TIME-OF-DAY USAGE PATTERNS INTO NON-INTRUSIVE LOAD MONITORING
Chinthaka Dinesh, Stephen Makonin, Ivan Bajic, Simon Fraser University, Canada
SGI-P.1.7: COLLABORATIVE APPROACH FOR ENERGY COST MINIMIZATION IN SMART GRID COMMUNITIES
Adriana Chis, Visa Koivunen, Aalto University, Finland
SSP-O.1.1: DESIGN OF BINARY LDPC CODES FOR SLEPIAN-WOLF CODING OF CORRELATED INFORMATION SOURCES
Saeed Eleruja, Umar-Faruk Abdu-Aguye, Marcel Ambroze, Martin Tomlinson, Mohammed Zaki, Plymouth University, United Kingdom
SSP-O.1.2: DEEP LEARNING SPARSE TERNARY PROJECTIONS FOR COMPRESSED SENSING OF IMAGES
Duc Minh Nguyen, Evaggelia Tsiligianni, Nikos Deligiannis, Vrije Universiteit Brussel, Belgium
SSP-O.1.3: FIELD OF EXPERTS: OPTIMAL STRUCTURED BAYESIAN COMPRESSED SENSING
Xinjie Lan, Kenneth Barner, University of Delaware, United States
SSP-O.1.4: LAPPED CONVOLUTIONAL NEURAL NETWORKS FOR EMBEDDED SYSTEMS
Xing Wang, Him Wai Ng, AltumView Systems Inc., Canada; Jie Liang, Simon Fraser University, Canada
SSP-O.1.5: AIRCRAFT FUSELAGE DEFECT DETECTION USING DEEP NEURAL NETWORKS
Touba Malekzadeh, Milad Abdollahzadeh, Hossein Nejati, Ngai-Man Cheung, Singapore University of Technology and Design, Singapore
SSP-O.2.1: FAST ADMM SOLVER FOR REWEIGHTED TOTAL VARIATION IMAGE DECONVOLUTION AND INPAINTING
John Lee, Christopher Rozell, Georgia Institute of Technology, United States
SSP-O.2.2: HOW TO DEAL WITH MULTI-SOURCE DATA FOR TREE DETECTION BASED ON DEEP LEARNING
Lionel Pibre, LIRMM laboratory, University of Montpellier / Berger-Levrault Company, France; Marc Chaumont, LIRMM laboratory, University of Montpellier / University of Nîmes, France; Gérard Subsol, LIRMM laboratory, University of Montpellier / CNRS, France; Dino Ienco, IRSTEA, France; Mustapha Derras, Berger-Levrault Company, France
SSP-O.2.3: HYPERSPECTRAL IMAGE FUSION BASED ON NON-FACTORIZATION SPARSE REPRESENTATION AND ERROR MATRIX ESTIMATION
Xiaolin Han, Tsinghua University, China; Jiqiang Luo, Beijing Institute of Technology, China; Jing Yu, Beijing University of Technology, China; Weidong Sun, Tsinghua University, China
SSP-O.2.4: JOINT-SPARSE DICTIONARY LEARNING: DENOISING MULTIPLE MEASUREMENT VECTORS
Prerna Singh, IIITD, India; Ramy Hussein, University of British Columbia, Canada; Angshul Majumdar, IIITD, India; Rabab Ward, University of British Columbia, Canada
SSP-O.2.5: DEMIXING STRUCTURED SUPERPOSITION SIGNALS FROM PERIODIC AND APERIODIC NONLINEAR OBSERVATIONS
Mohammadreza Soltani, Chinmay Hegde, Iowa State University, United States
SSP-O.3.1: INFERENCE WITH MODEL UNCERTAINTY ON INDOOR SCENE FOR SEMANTIC SEGMENTATION
Shuya Isobe, Shuichi Arai, Tokyo City University Graduate School of Engineering, Japan
SSP-O.3.2: MULTIPLE-IMAGE SUPER RESOLUTION USING BOTH RECONSTRUCTION OPTIMIZATION AND DEEP NEURAL NETWORK
Jie Wu, NanJing University, China; Tao Yue, Qiu Shen, Xun Cao, Zhan Ma, Nanjing University, China
SSP-O.3.3: ONLINE DYNAMIC MRI RECONSTRUCTION VIA ROBUST SUBSPACE TRACKING
Greg Ongie, Saket Dewangan, Jeffrey Fessler, Laura Balzano, University of Michigan, United States
SSP-O.3.4: DOMAIN SPECIFIC INPAINTING WITH CONCURRENTLY PRETRAINED GENERATIVE ADVERSARIAL NETWORKS
Xiao Zhou, Chengchen Wang, Yiteng Xu, Xiao Wang, Peter Chin, Boston University, United States
SSP-O.3.5: SPARSE BAYESIAN LEARNING WITH MULTIPLE DICTIONARIES
Santosh Nannuru, Kay Gemba, Peter Gerstoft, University of California, San Diego, United States
SSP-O.4.1: A FEATURE EMBEDDING STRATEGY FOR HIGH-LEVEL CNN REPRESENTATIONS FROM MULTIPLE CONVNETS
Thangarajah Akilan, Jonathan Wu, University of Windsor, Canada; Wei Jiang, Zhejiang University, China
SSP-O.4.2: A NONPARAMETRIC BAYESIAN METHOD OF STRUCTURAL SALIENCY DICTIONARY LEARNING FOR IMAGE COMPRESSION
Juan Wang, Xiaoming Tao, Chunxiao Jiang, Shaoyang Li, Jianhua Lu, Tsinghua University, China
SSP-O.4.3: ESTIMATION OF FREQUENCY UNSYNCHRONIZED MILLIMETER-WAVE CHANNELS
Milutin Pajovic, Pu Wang, Toshiaki Koike-Akino, Philip Orlik, Mitsubishi Electric Research Laboratories, United States
SSP-O.4.4: TEXT EXTRACTION FROM TEXTURE IMAGES USING MASKED SIGNAL DECOMPOSITION
Shervin Minaee, Yao Wang, New York University, United States
SSP-O.4.5: LOW-RANK MATRIX RECOVERY OF DYNAMIC EVENTS
Salman Asif, University of California, Riverside, United States
SSP-O.5.1: MODELING SPARSE SPATIO-TEMPORAL REPRESENTATIONS FOR NO-REFERENCE VIDEO QUALITY ASSESSMENT
Muhammed Shabeer P, Saurabhchand Bhati, Sumohana Channappayya, Indian Institute of Technology Hyderabad, India
SSP-O.5.2: EFFICIENT SPARSITY-BASED INVERSION FOR PHOTON-SIEVE SPECTRAL IMAGERS WITH TRANSFORM LEARNING
Ulas Kamaci, Fatih C. Akyon, Tunc Alkanat, Figen S. Oktem, METU, Turkey
SSP-O.5.3: MERGING RECOVERY FEATURE NETWORK TO FASTER RCNN FOR LOW-RESOLUTION IMAGES DETECTION
Ruyi Zhang, Yujiu Yang, Tsinghua University, Shenzhen Key Laboratory of Broad-band Network & Multimedia, China
SSP-O.5.4: THE NONCONVEX GEOMETRY OF LOW-RANK MATRIX OPTIMIZATIONS WITH GENERAL OBJECTIVE FUNCTIONS
Qiuwei Li, Gongguo Tang, Colorado School of Mines, United States
SSP-O.5.5: AUGMENTED ROBUST PCA FOR FOREGROUND-BACKGROUND SEPARATION ON NOISY, MOVING CAMERA VIDEO
Chen Gao, Brian Moore, Raj Rao Nadakuditi, University of Michigan, United States
SSP-P.1.1: IMAGE SUPER-RESOLUTION USING NONLOCALLY CENTRALIZED SPARSE REPRESENTATION AND FIELDS OF EXPERTS PRIORS
Xiu Zhang, Wei Zhou, Zhemin Duan, Northwestern Polytechnical University, China
SSP-P.1.3: IMPULSE DENOISING VIA TRANSFORM LEARNING
Jyoti Maggu, Indraprastha Institute of Information Technology, India; Ramy Hussein, University of British Columbia, Canada; Angshul Majumdar, IIITD, India; Rabab Ward, University of British Columbia, Canada
SSP-P.1.4: A NEW WEIGHTED LP-NORM FOR SPARSE HYPERSPECTRAL UNMIXING
Yaser Esmaeili Salehani, École de technologie supérieure (ETS), Canada; Saeed Gazor, Queen's University, Canada; Mohamed Cheriet, École de technologie supérieure (ETS), Canada
SSP-P.1.5: COMPRESSIVE ONLINE ROBUST PRINCIPAL COMPONENT ANALYSIS WITH MULTIPLE PRIOR INFORMATION
Huynh Van Luong, University of Erlangen-Nuremberg, Germany; Nikos Deligiannis, Vrije Universiteit Brussel, Belgium; Jürgen Seiler, University of Erlangen-Nuremberg, Germany; Soren Forchhammer, Technical University of Denmark, Denmark; Andre Kaup, University of Erlangen-Nuremberg, Germany
SSP-P.1.6: SINGLE CHANNEL AUDIO SOURCE SEPARATION USING CONVOLUTIONAL DENOISING AUTOENCODERS
Emad M. Grais, Mark D. Plumbley, University of Surrey, United Kingdom
SSP-P.1.7: DICTIONARY LEARNING IN THE ANALYSIS SPARSE REPRESENTATION WITH OPTIMIZATION ON STIEFEL MANIFOLD
Yujie Li, National Institute of Advanced Industrial Science and Technology (AIST), Japan; Shuxue Ding, Zhenni Li, Xiang Li, Benying Tan, University of Aizu, Japan
SSP-P.2.1: GLOBAL OPTIMALITY IN LOW-RANK MATRIX OPTIMIZATION
Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael Wakin, Colorado School of Mines, United States
SSP-P.2.2: PT-NET: IMPROVE OBJECT AND FACE DETECTION VIA A PRE-TRAINED CNN MODEL
Yingxin Lou, Beijing University of Posts and Telecommunications, China; Guangtao Fu, Academy of Broadcasting Science, China; Zhuqing Jiang, Aidong Men, Beijing University of Posts and Telecommunications, China; Yun Zhou, Academy of Broadcasting Science, China
SSP-P.2.4: ADAPTIVE BASIS SELECTION FOR COMPRESSED SENSING IN ROBOTIC TACTILE SKINS
Brayden Hollis, Stacy Patterson, Jeff Trinkle, Rensselear Polytechnic Institute, United States
SSP-P.2.5: PRECISE PERFORMANCE ANALYSIS OF THE LASSO UNDER MATRIX UNCERTAINTIES
Ayed M. Alrashdi, Ismail Ben Atitallah, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini, King Abdullah University of Science and Technology, Saudi Arabia
SSP-P.2.6: NEAR-OPTIMAL PARAMETER SELECTION METHODS FOR L2 REGULARIZATION
Tarig Ballal, Mohamed Suliman, Tareq Y. Al-Naffouri, King Abdullah University of Science and Technology, Saudi Arabia
SAC-P.1.1: EVOLUTIONARY APPROXIMATION OF GRADIENT ORIENTATION MODULE IN HOG-BASED HUMAN DETECTION SYSTEM
Michal Wiglasz, Lukas Sekanina, Brno University of Technology, Czech Republic
SAC-P.1.2: EXPLOITING THE STRUCTURE VIA SKETCHED GRADIENT ALGORITHMS
Junqi Tang, Mohammad Golbabaee, Mike Davies, The University of Edinburgh, United Kingdom
SAC-P.1.3: A FAST BAYESIAN ALGORITHMIC ENHANCEMENT FOR REAL TIME BIT ERROR RATIO TEST (BERT)
Shu-Yi Jack Wong, Jianwen Zhu, University of Toronto, Canada
SAC-P.1.4: DESIGN OF STOCHASTIC ASYMMETRIC COMPENSATION FILTERS FOR AUDITORY SIGNAL PROCESSING
Naoya Onizawa, Shunsuke Koshita, Shuichi Sakamoto, Masayuki Kawamata, Takahiro Hanyu, Tohoku University, Japan
SAC-P.1.5: ACHIEVING PROGRESSIVE PRECISION IN STOCHASTIC COMPUTING
Te-Hsuan Chen, Synopsys Inc., United States; Paishun Ting, John Hayes, University of Michigan, United States
SAC-P.1.6: ACTIVATION PRUNING OF DEEP CONVOLUTIONAL NEURAL NETWORKS
Arash Ardakani, Carlo Condo, Warren Gross, McGill University, Canada
SAC-P.1.7: HARDWARE IMPLEMENTATION OF ADDER FOR PULSE SIGNAL PROCESSING
Gabriel Nallathambi, Pulsics LLC, United States; Lei Rao, Xi'an Jiaotong University, China; Jose Principe, University of Florida, United States
SAC-P.1.8: UNARY POSITIONAL COMPUTING
McKenzie van der Hagen, Marc D. Riedel, University of Minnesota, United States
SAC-P.1.9: ON THE CONVERGENCE OF CONSTRAINED PARTICLE FILTERS
Nesrine Amor, University of Tunis, Tunisia; Nidhal Carla Bouaynaya, Rowan University, United States; Roman Shterenberg, University of Alabama at Birmingham, United States; Souad Chebbi, University of Tunis, Tunisia
DL-O.1.1: KNOWLEDGE ACQUISITION FROM TEXT BASED ON SENTENCE REWRITING
Xiujuan Ma, Muran Su, Zhen Wu, Luchen Zhang, National Computer Network Emergency Response Technical Team/Coordination Center of China, China
DL-O.1.2: COUNTING PLANTS USING DEEP LEARNING
Javier Ribera, Yuhao Chen, Christopher Boomsma, Edward Delp, Purdue University, United States
DL-O.1.3: A MULTI-SUBNET DEEP MODEL FOR PEDESTRIAN ATTRIBUTE RECOGNITION
Hui Hao, Guiguang Ding, Qiang Liu, Tsinghua University, China; Sheng Tang, Chinese Academy of Sciences, China
DL-O.1.4: TRANSFER KNOWLEDGE FOR HIGH SPARSITY IN DEEP NEURAL NETWORKS
Wenran Liu, Xiaogang Chen, Xiangyang Ji, Tsinghua University, China
DL-O.1.5: STEREOSCOPIC VISUALIZATION OF 3D MODEL USING OPENGL
Zunjie Zhu, Chenggang Yan, Hangzhou Dianzi University, China; Liang Li, Chinese Academy of Sciences, China; Yongning Ren, Qiqi Luo, Jun Li, Hangzhou Dianzi University, China
DL-O.2.1: A HYBRID ENCRYPTION SCHEME BASED ON THE SATISFIABILITY PROBLEM
Rui Sun, Qiao Peng, Youliang Tian, Guizhou University, China
DL-O.2.2: MULTIMODAL SMARTPHONE USER AUTHENTICATION USING TOUCHSTROKE, PHONE-MOVEMENT AND FACE PATTERNS
Zahid Akhtar, University of Quebec, Canada; Attaullah Buriro, Bruno Crispo, University of Trento, Italy; Tiago H. Falk, University of Quebec, Canada
DL-O.2.3: IMPROVING ADVERSARIAL NEURAL MACHINE TRANSLATION WITH PRIOR KNOWLEDGE
Yating Yang, Xiao Li, Tonghai Jiang, Jinying Kong, Bo Ma, Xi Zhou, Lei Wang, The Xinjing Technical Institute of Physics & Chemistry, CAS, China
DL-O.2.4: UTILIZING HIGH-LEVEL VISUAL FEATURE FOR INDOOR SHOPPING MALL LOCALIZATION
Ziwei Xu, National University of Singapore, Singapore; Haitian Zheng, Graduate School at Shenzhen, Tsinghua University, China; Minjian Pang, Xiongfei Su, Hong Kong University of Science and Technology, China; Guyue Zhou, Lu Fang, Graduate School at Shenzhen, Tsinghua University, China
DL-O.2.5: VIRTUAL REALITY REALIZATION TECHNOLOGY AND ITS APPLICATION BASED ON AUGMENTED REALITY
Ning Li, Chenggang Yan, Hangzhou Dianzi University, China; Feng Xu, Tsinghua University, China; Liang Li, Chinese Academy of Sciences, China; Zunjie Zhu, Biyao Shao, Bingjian Gong, Hangzhou Dianzi University, China
DL-O.3.1: A NEW DATASET FOR HAND GESTURE ESTIMATION
Biyao Shao, Yifeng Xie, Hongnan Yang, Yatong Jiang, Chenggang Yan, Hangzhou Dianzi University, China; Hongtao Xie, Institute of Information Engineering, Chinese Academy of Sciences, China; Yangang Wang, Southeast University, China
DL-O.3.2: SINGLE IMAGE DENSITY MAP ESTIMATION BASED ON MULTI-COLUMN CNN AND BOOSTING
Xiaoyu Liu, Simon Fraser University, Canada; Denning Campbell, Zhenyu Guo, Sengled Canada, Canada
DL-O.3.3: BIMODAL CODEBOOKS BASED ADULT VIDEO DETECTION
Yizhi Liu, Junlin Ouyang, Jianxun Liu, School of Computer Science and Engineering, Hunan University of Science and Technology, China
DL-O.3.4: A CNN BASED FRAMEWORK FOR STABLE IMAGE FEATURE SELECTION
Chaoyi Han, Xiaoming Tao, Yiping Duan, Xijia Liu, Jianhua Lu, Tsinghua University, China
DL-O.3.5: END-TO-END CHINESE TEXT RECOGNITION
Jie Hu, Tszhang Guo, Tsinghua University, China; Ji Cao, Beijing SinoVoice Technology Co.,Ltd., China; Changshui Zhang, Tsinghua University, China
DL-P.1.1: A CO-TRAINING METHOD FOR IDENTIFYING THE SAME PERSON ACROSS SOCIAL NETWORKS
Zheng Fang, University of Chinese Academy of Sciences, China; Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Li Guo, Institute of Information Engineering, Chinese Academy of Sciences, China
DL-P.1.2: DEEP INDEPENDENT AUDIO-VISUAL AFFECT ANALYSIS
Titus Thomas, Miguel Dominguez, Raymond Ptucha, Rochester Institute of Technology, United States