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My ICASSP 2019 Schedule

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SS-P4: Tensor-based Machine Learning for Multi-dimensional Signal Processing

Session Type: Poster
Time: Thursday, May 16, 13:00 - 15:00
Location: Poster Area H, East Bar, First Floor
Session Chairs: Masashi Sugiyama, RIKEN Center for Advanced Intelligence Project/The University of Tokyo, Qibin Zhao, RIKEN Center for Advanced Intelligence Project and Guoxu Zhou, Guangdong University of Technology
 
  SS-P4.1: BRAIN CORRELATES OF TASK-LOAD AND DEMENTIA ELUCIDATION WITH TENSOR MACHINE LEARNING USING ODDBALL BCI PARADIGM
         Tomasz M. Rutkowski; RIKEN Center for Advanced Intelligence Project
         Marcin Koculak; Jagiellonian University
         Masato S. Abe; RIKEN Center for Advanced Intelligence Project
         Mihoko Otake-Matsuura; RIKEN Center for Advanced Intelligence Project
 
  SS-P4.2: CUTENSOR-TUBAL: OPTIMIZED GPU LIBRARY FOR LOW-TUBAL-RANK TENSORS
         Tao Zhang; Shanghai University
         Xiao-Yang Liu; Columbia University
 
  SS-P4.3: FAST IMPLEMENTATION OF DOUBLE-COUPLED NONNEGATIVE CANONICAL POLYADIC DECOMPOSITION
         Xiulin Wang; Dalian University of Technology/University of Jyväskylä
         Tapani Ristaniemi; University of Jyväskylä
         Fengyu Cong; Dalian University of Technology/University of Jyväskylä
 
  SS-P4.4: MEASURING THE TASK INDUCED OSCILLATORY BRAIN ACTIVITY USING TENSOR DECOMPOSITION
         Yongjie Zhu; University of Jyvaskyla
         Xueqiao Li; University of Jyvaskyla
         Tapani Ristaniemi; University of Jyvaskyla
         Fengyu Cong; Dalian University of Technology
 
  SS-P4.5: TENSOR SUPER-RESOLUTION FOR SEISMIC DATA
         Songjie Liao; University of Electronic Science and Technology of China
         Xiao-Yang Liu; Columbia University
         Feng Qian; University of Electronic Science and Technology of China
         Miao Yin; University of Electronic Science and Technology of China
         Guang-Min Hu; University of Electronic Science and Technology of China
 
  SS-P4.6: TOTAL-VARIATION-REGULARIZED TENSOR RING COMPLETION FOR REMOTE SENSING IMAGE RECONSTRUCTION
         Wei He; RIKEN
         Longhao Yuan; RIKEN
         Naoto Yokoya; RIKEN
 
  SS-P4.7: LEARNING EFFICIENT TENSOR REPRESENTATIONS WITH RING-STRUCTURED NETWORKS
         Qibin Zhao; RIKEN Center for Advanced Intelligence Project
         Masashi Sugiyama; RIKEN Center for Advanced Intelligence Project/The University of Tokyo
         Longhao Yuan; Saitama Institute of Technology/RIKEN Center for Advanced Intelligence Project
         Andrzej Cichocki; Skolkovo Institute of Science and Technology
 
  SS-P4.8: GRAPH REGULARIZED NONNEGATIVE TUCKER DECOMPOSITION FOR TENSOR DATA REPRESENTATION
         Yuning Qiu; Guangdong University of Technology
         Guoxu Zhou; Guangdong University of Technology
         Yu Zhang; Stanford University
         Shengli Xie; Guangdong University of Technology