My ICASSP 2019 Schedule

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MLSP-L6: Matrix and Tensor Methods I

Session Type: Lecture

Time: Thursday, May 16, 08:00 - 10:00

Location: Ocean View

Session Chair: Anand Sarwate, Rutgers University

MLSP-L6.1: FAST AND GLOBAL OPTIMAL NONCONVEX MATRIX FACTORIZATION VIA PERTURBED ALTERNATING PROXIMAL POINT

Songtao Lu; University of Minnesota Twin Cities

Mingyi Hong; University of Minnesota Twin Cities

Zhengdao Wang; Iowa State University

MLSP-L6.2: STATISTICAL RANK SELECTION FOR INCOMPLETE LOW-RANK MATRICES

Rui Zhang; Georgia Institute of Technology

Alexander Shapiro; Georgia Institute of Technology

Yao Xie; Georgia Institute of Technology

MLSP-L6.3: ACCELERATING ITERATIVE HARD THRESHOLDING FOR LOW-RANK MATRIX COMPLETION VIA ADAPTIVE RESTART

Trung Vu; Oregon State University

Raviv Raich; Oregon State University

MLSP-L6.4: LATENT SCHATTEN TT NORM FOR 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-L6.5: COMMON MODE PATTERNS FOR SUPERVISED TENSOR SUBSPACE LEARNING

Konstantinos Makantasis; Technical University of Crete

Anastasios Doulamis; National Technical University of Athens

Nikolaos Doulamis; National Technical University of Athens

Athanasios Voulodimos; University of West Attica

MLSP-L6.6: REGULAR SAMPLING OF TENSOR SIGNALS: THEORY AND APPLICATION TO FMRI

Charilaos I. Kanatsoulis; University of Minnesota

Nicholas D. Sidiropoulos; University of Virginia

Mehmet Akcakaya; University of Minnesota

Xiao Fu; Oregon State University