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 |