SPTM-L6: Compressive Sensing: Theory and Methods |
Session Type: Lecture |
Time: Thursday, March 18, 13:30 - 15:30 |
Location: Room D1 |
Session Chair: Yonina Eldar, Technion, Israel Institute of Technology |
SPTM-L6.1: EFFICIENT SPARSE BAYESIAN LEARNING VIA GIBBS SAMPLING |
Xing Tan; University of Florida |
Jian Li; University of Florida |
Peter Stoica; Uppsala University |
SPTM-L6.2: ALTERNATING MINIMIZATION TECHNIQUES FOR THE EFFICIENT RECOVERY OF A SPARSELY CORRUPTED LOW-RANK MATRIX |
Silvia Gandy; Tokyo Institute of Technology |
Isao Yamada; Tokyo Institute of Technology |
SPTM-L6.3: LOW DENSITY FRAMES FOR COMPRESSIVE SENSING |
Mehmet Akcakaya; Harvard University |
Jinsoo Park; Harvard University |
Vahid Tarokh; Harvard University |
SPTM-L6.4: SET: AN ALGORITHM FOR CONSISTENT MATRIX COMPLETION |
Wei Dai; University of Illinois at Urbana-Champaign |
Olgica Milenkovic; University of Illinois at Urbana-Champaign |
SPTM-L6.5: KRONECKER PRODUCT MATRICES FOR COMPRESSIVE SENSING |
Marco Duarte; Princeton University |
Richard Baraniuk; Rice University |
SPTM-L6.6: ITERATIVE ALGORITHMS FOR COMPRESSED SENSING WITH PARTIALLY KNOWN SUPPORT |
Rafael Carrillo; University of Delaware |
Luisa F. Polania; University of Delaware |
Kenneth Barner; University of Delaware |