Technical Program

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WQ.P1: Sparsity Based Processing

Session Type: Poster
Time: Wednesday, October 10, 16:20 - 18:00
Location: Poster Area 1
Session Chair: Ulugbek Kamilov, Washington University in St. Louis
 
 WQ.P1.1: A NEW SPARSE SUBSPACE CLUSTERING BY ROTATED ORTHOGONAL MATCHING PURSUIT
         Li Zhong; Shenzhen Graduate School, Peking University
         Yuesheng Zhu; Shenzhen Graduate School, Peking University
         Guibo Luo; Shenzhen Graduate School, Peking University
 
 WQ.P1.2: MATCHING PURSUIT BASED ON KERNEL NON-SECOND ORDER MINIMIZATION
         Miaohua Zhang; Griffith University
         Yongsheng Gao; Griffith University
         Changming Sun; CSIRO Data61
         Michael Blumenstein; University of Technology Sydney
 
 WQ.P1.3: COMPRESSIVE 4D LIGHT FIELD RECONSTRUCTION USING ORTHOGONAL FREQUENCY SELECTION
         Fatma Hawary; Technicolor/INRIA
         Guillaume Boisson; Technicolor
         Christine Guillemot; INRIA
         Philippe Guillotel; Technicolor
 
 WQ.P1.4: LEARNING PARSEVAL FRAMES FOR SPARSE REPRESENTATION WITH FRAME PERSPECTIVE
         Ping-Tzan Huang; National Synchrotron Radiation Research Center
         Wen-Liang Hwang; Academia Sinica
         Tai-Lang Jong; National Tsing Hua University
 
 WQ.P1.5: REGULARIZED GRADIENT DESCENT TRAINING OF STEERED MIXTURE OF EXPERTS FOR SPARSE IMAGE REPRESENTATION
         Erik Bochinski; TU Berlin
         Rolf Jongebloed; TU Berlin
         Michael Tok; TU Berlin
         Thomas Sikora; TU Berlin
 
 WQ.P1.6: JOINT SPARSITY BASED SPARSE SUBSPACE CLUSTERING FOR HYPERSPECTRAL IMAGES
         Shaoguang Huang; Ghent University
         Hongyan Zhang; Wuhan University
         Aleksandra Pizurica; Ghent University
 
 WQ.P1.7: DEEP NEURAL NETWORK BASED SPARSE MEASUREMENT MATRIX FOR IMAGE COMPRESSED SENSING
         Wenxue Cui; Harbin Institute of Technology
         Feng Jiang; Harbin Institute of Technology
         Xinwei Gao; Wechat Business Group
         Wen Tao; Harbin Institute of Technology
         Debin Zhao; Harbin Institute of Technology
 
WQ.P1.8: A PARALLEL PROXIMAL ALGORITHM FOR ANISOTROPIC TOTAL VARIATION MINIMIZATION
         Ulugbek Kamilov; Washington University in St. Louis