Technical Program

SPTM-L5: Sparsity-Aware Processing and Learning I

Session Type: Lecture
Time: Thursday, March 24, 08:30 - 10:30
Location: Room 3H+3I+3J
Session Chair: Yuantao Gu, Tsinghua University
 
SPTM-L5.1: FAST SPARSE 2-D DFT COMPUTATION USING SPARSE-GRAPH ALIAS CODES
         Frank Ong; University of California, Berkeley
         Sameer Pawar; University of California, Berkeley
         Kannan Ramchandran; University of California, Berkeley
 
SPTM-L5.2: LOW-RANK MATRICES RECOVERY VIA ENTROPY FUNCTION
         Dung Tran; Johns Hopkins University
         Shuai Huang; Johns Hopkins University
         Sang Chin; Boston University
         Trac Tran; Johns Hopkins University
 
SPTM-L5.3: OUTLIER-ROBUST RECOVERY OF LOW-RANK POSITIVE SEMIDEFINITE MATRICES FROM MAGNITUDE MEASUREMENTS
         Yue Sun; Tsinghua University
         Yuanxin Li; The Ohio State University
         Yuejie Chi; The Ohio State University
 
SPTM-L5.4: ONLINE LOW-RANK + SPARSE STRUCTURE LEARNING FOR DYNAMIC NETWORK TRACKING
         Alp Ozdemir; Michigan State University
         Selin Aviyente; Michigan State University
 
SPTM-L5.5: BEYOND UNION OF SUBSPACES: SUBSPACE PURSUIT ON GRASSMANN MANIFOLD FOR DATA REPRESENTATION
         Xinyue Shen; Tsinghua University
         Hamid Krim; North Carolina State University
         Yuantao Gu; Tsinghua University
 
SPTM-L5.6: PROSPARSE DENOISE: PRONY'S BASED SPARSE PATTERN RECOVERY IN THE PRESENCE OF NOISE
         Jon OƱativia; Imperial College London
         Yue M. Lu; Harvard University
         Pier Luigi Dragotti; Imperial College London
 

ICASSP 2016 Patrons