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MLSP-P9: Matrix and Tensor Methods II

Session Type: Poster
Time: Wednesday, May 15, 16:00 - 18:00
Location: Poster Area G, East Landing, First Floor
Session Chair: P P Vaidyanathan, CalTech
 
  MLSP-P9.1: MINIMUM-VOLUME RANK-DEFICIENT NONNEGATIVE MATRIX FACTORIZATIONS
         Valentin Leplat; University of Mons
         Andersen Man Shun Ang; University of Mons
         Nicolas Gillis; University of Mons
 
  MLSP-P9.2: MODEL SELECTION FOR NONNEGATIVE MATRIX FACTORIZATION BY SUPPORT UNION RECOVERY
         Zhaoqiang Liu; National University of Singapore
 
  MLSP-P9.3: GENERALIZED INTERVAL VALUED NONNEGATIVE MATRIX FACTORIZATION
         Masahiro Kohjima; Nippon Telegraph and Telephone Corporation
         Tatsushi Matsubayashi; Nippon Telegraph and Telephone Corporation
         Hiroyuki Toda; Nippon Telegraph and Telephone Corporation
 
  MLSP-P9.4: LOCAL CONVERGENCE OF THE HEAVY BALL METHOD IN ITERATIVE HARD THRESHOLDING FOR LOW-RANK MATRIX COMPLETION
         Trung Vu; Oregon State University
         Raviv Raich; Oregon State University
 
  MLSP-P9.5: TENSOR-TRAIN DISCRIMINANT ANALYSIS
         Seyyid Emre Sofuoğlu; Michigan State University
         Selin Aviyente; Michigan State University
 
  MLSP-P9.6: GENERALIZED DANTZIG SELECTOR FOR LOW-TUBAL-RANK TENSOR RECOVERY
         Andong Wang; School of Computer Science and Engineering, Nanjing University of Science and Technology; RIKEN Center for Advanced Intelligence Project
         Xulin Song; Nanjing University of Science and Technology
         Xiyin Wu; Nanjing University of Science and Technology
         Zhihui Lai; Shenzhen University
         Zhong Jin; School of Computer Science and Engineering, Nanjing University of Science and Technology; Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology
 
  MLSP-P9.7: ROBUST LOW-TUBAL-RANK TENSOR COMPLETION
         Andong Wang; School of Computer Science and Engineering, Nanjing University of Science and Technology; RIKEN Center for Advanced Intelligence Project
         Xulin Song; Nanjing University of Science and Technology
         Xiyin Wu; Nanjing University of Science and Technology
         Zhihui Lai; Shenzhen University
         Zhong Jin; School of Computer Science and Engineering, Nanjing University of Science and Technology; Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology
 
  MLSP-P9.8: LINEARIZED KERNEL REPRESENTATION LEARNING FROM VIDEO TENSORS BY EXPLOITING MANIFOLD GEOMETRY FOR GESTURE RECOGNITION
         Krishan Sharma; Indian Institute of Technology Mandi
         Renu Rameshan; Indian Institute of Technology Mandi
 
  MLSP-P9.9: CO-CLUSTERING OF HIGH-ORDER DATA VIA REGULARIZED TUCKER DECOMPOSITIONS
         Pedro Forero; SSC Pacific
         Paul Baxley; SSC Pacific
         Matthew Capella; SSC Pacific
 
  MLSP-P9.10: A NOVEL RESOURCE-AWARE TENSOR DECOMPOSITION DESIGN BASED ON REINFORCEMENT LEARNING
         Behnaz Ghoraani; Florida Atlantic University
 
  MLSP-P9.11: TENSOR MATCHED KRONECKER-STRUCTURED SUBSPACE DETECTION FOR MISSING INFORMATION
         Ishan Jindal; Wayne State University
         Matthew Nokleby; Wayne State University
 
  MLSP-P9.12: HIGHER-ORDER NONNEGATIVE CANDECOMP/PARAFAC TENSOR DECOMPOSITION USING PROXIMAL ALGORITHM
         Deqing Wang; Dalian University of Technology
         Fengyu Cong; Dalian University of Technology
         Tapani Ristaniemi; University of Jyväskylä