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
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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 |
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MLSP-P9.2: MODEL SELECTION FOR NONNEGATIVE MATRIX FACTORIZATION BY SUPPORT UNION RECOVERY |
Zhaoqiang Liu; National University of Singapore |
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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 |
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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 |
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MLSP-P9.5: TENSOR-TRAIN DISCRIMINANT ANALYSIS |
Seyyid Emre Sofuoğlu; Michigan State University |
Selin Aviyente; Michigan State University |
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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 |
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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 |
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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 |
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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 |
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MLSP-P9.10: A NOVEL RESOURCE-AWARE TENSOR DECOMPOSITION DESIGN BASED ON REINFORCEMENT LEARNING |
Behnaz Ghoraani; Florida Atlantic University |
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MLSP-P9.11: TENSOR MATCHED KRONECKER-STRUCTURED SUBSPACE DETECTION FOR MISSING INFORMATION |
Ishan Jindal; Wayne State University |
Matthew Nokleby; Wayne State University |
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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 |
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