Technical Program

SPTM-L6: Sparsity-Aware Learning I

Session Type: Lecture
Time: Tuesday, March 7, 16:00 - 18:00
Location: Grand Salon 9
Session Chair: Namrata Vaswani, Iowa State University, USA
 
SPTM-L6.1: MULTIPLE ILLUMINATION PHASELESS SUPER-RESOLUTION (MIPS) WITH APPLICATIONS TO PHASELESS DOA ESTIMATION AND DIFFRACTION IMAGING
         Fariborz Salehi; California Institute of Technology
         Kishore Jaganathan; California Institute of Technology
         Babak Hassibi; California Institute of Technology
 
SPTM-L6.2: A GENERALIZATION OF THE SPARSE ITERATIVE COVARIANCE-BASED ESTIMATOR
         Johan Swärd; Lund University
         Stefan Ingi Adalbjörnsson; Lund University
         Andreas Jakobsson; Lund University
 
SPTM-L6.3: DISTANCE-PRESERVING PROPERTY OF RANDOM PROJECTION FOR SUBSPACES
         Gen Li; Tsinghua University
         Yuantao Gu; Tsinghua University
 
SPTM-L6.4: SPARSE BAYESIAN LEARNING WITH UNCERTAIN SENSING MATRIX
         Santosh Nannuru; University of California, San Diego
         Peter Gerstoft; University of California, San Diego
         Kay Gemba; University of California, San Diego
 
SPTM-L6.5: AN EFFICIENT ONLINE ADAPTIVE SAMPLING STRATEGY FOR MATRIX COMPLETION
         Lucas Claude; Huawei Technologies France
         Symeon Chouvardas; Huawei Technologies France
         Moez Draief; Huawei Technologies France
 
SPTM-L6.6: SPARTA: SPARSE PHASE RETRIEVAL VIA TRUNCATED AMPLITUDE FLOW
         Gang Wang; University of Minnesota – Twin Cities
         Georgios B. Giannakis; University of Minnesota – Twin Cities
         Jie Chen; Beijing Institute of Technology
         Mehmet Akcakaya; University of Minnesota – Twin Cities