My CAMSAP 2019 Schedule

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WM1: Structured Matrix and Tensor Methods

Session Type: Lecture
Time: Wednesday, December 18, 10:20 - 12:20
Location: Salle Fort Royal
Session Chairs: Xiao Fu, Oregon State University and Kejun Huang, University of Florida
 
  WM1.1: OCTEN: ONLINE COMPRESSION-BASED TENSOR DECOMPOSITION
         Ekta Gujral; University of California, Riverside
         Ravdeep Pasricha; University of California, Riverside
         Tianxiong Yang; University of California, Riverside
         Evangelos E. Papalexakis; University of California, Riverside
 
  WM1.2: UNIQUENESS OF TENSOR TRAIN DECOMPOSITION WITH LINEAR DEPENDENCIES
         Yassine Zniyed; L2S, CentraleSupelec
         Sebastian Miron; CRAN, Université de Lorraine
         Rémy Boyer; CRIStAL, Université de Lille
         David Brie; CRAN, Université de Lorraine
 
  WM1.3: STRUCTURED EGONET TENSORS FOR ROBUST NODE EMBEDDING
         Fatemeh Sheikholeslami; University of Minnesota
         Georgios B. Giannakis; University of Minnesota
 
  WM1.4: HYPERSPECTRAL SUPER-RESOLUTION: A COUPLED NONNEGATIVE BLOCK-TERM TENSOR DECOMPOSITION APPROACH
         Guoyong Zhang; University of Electronic Science and Technology of China
         Xiao Fu; Oregon State University
         Kejun Huang; University of Florida
         Jun Wang; University of Electronic Science and Technology of China
 
  WM1.5: ALGEBRAIC AND OPTIMIZATION BASED ALGORITHMS FOR MULTIVARIATE REGRESSION USING SYMMETRIC TENSOR DECOMPOSITION
         Stijn Hendrikx; KU Leuven
         Martijn Boussé; KU Leuven
         Nico Vervliet; KU Leuven
         Lieven De Lathauwer; KU Leuven Kulak
 
  WM1.6: IS THERE ANY RECOVERY GUARANTEE WITH COUPLED STRUCTURED MATRIX FACTORIZATION FOR HYPERSPECTRAL SUPER-RESOLUTION?
         Huikang Liu; Chinese University of Hong Kong
         Ruiyuan Wu; Chinese University of Hong Kong
         Wing-Kin Ma; Chinese University of Hong Kong