Technical Program

SPTM-P5: Compressed Sensing and Sparsity III

Session Type: Poster
Time: Wednesday, March 28, 16:30 - 18:30
Location: Poster Area G
Session Chairs: Takayuki Nakachi, NTT Network Innovation Laboratories and Wing-Kin (Ken) Ma, The Chinese University of Hong Kong
 
SPTM-P5.1: SPARSE LOADING NOISY PCA USING AN $L_0$ PENALTY
         Magnus Ulfarsson; University of Iceland
         Victor Solo; University of New South Wales
 
SPTM-P5.2: A SPARSE RECONSTRUCTION BASED ALGORITHM FOR IMAGE AND VIDEO CLASSIFICATION
         Tanaya Guha; University of British Columbia
         Rabab Ward; University of British Columbia
 
SPTM-P5.3: DYNAMIC SUBSPACE PURSUIT
         Dave Zachariah; Royal Institute of Technology
         Saikat Chatterjee; Royal Institute of Technology
         Magnus Jansson; Royal Institute of Technology
 
SPTM-P5.4: ON COMPRESSED SENSING AND THE ESTIMATION OF CONTINUOUS PARAMETERS FROM NOISY OBSERVATIONS
         Jesper Kjær Nielsen; Aalborg University
         Mads Græsbøll Christensen; Aalborg University
         Søren Holdt Jensen; Aalborg University
 
SPTM-P5.5: ON VECTOR L0 PENALIZED MULTIVARIATE REGRESSION
         Akila J. Seneviratne; The University of New South Wales
         Victor Solo; The University of New South Wales
 
SPTM-P5.6: PROJECTED $\ELL_1$-MINIMIZATION FOR COMPRESSED SENSING
         Amin Khajehnejad; California Institute of Technology
         Matthew Thill; California Institute of Technology
         Babak Hassibi; California Institute of Technology
 
SPTM-P5.7: A SIMPLER APPROACH TO WEIGHTED $\ELL_1$ MINIMIZATION
         Anilesh K. Krishnaswamy; Indian Institute of Technology, Madras
         Samet Oymak; California Institute of Technology
         Babak Hassibi; California Institute of Technology
 
SPTM-P5.8: STRUCTURED BAYESIAN ORTHOGONAL MATCHING PURSUIT
         Angélique Drémeau; Télécom ParisTech
         Cedric Herzet; Institut National de Recherche en Informatique et Automatique (INRIA)
         Laurent Daudet; Institut Langevin, ESPCI ParisTech
 
SPTM-P5.9: BAYESIAN DENOISING OF GENERALIZED POISSON PROCESSES WITH FINITE RATE OF INNOVATION
         Arash Amini; Biomedical Imaging Group (BIG) / École Polytechnique Fédérale de Lausanne
         Ulugbek Kamilov; Biomedical Imaging Group (BIG) / École Polytechnique Fédérale de Lausanne
         Michael Unser; Biomedical Imaging Group (BIG) / École Polytechnique Fédérale de Lausanne
 
SPTM-P5.10: SPARSE COVARIANCE ESTIMATION UNDER KRONECKER PRODUCT STRUCTURE
         Theodoros Tsiligkaridis; University of Michigan at Ann Arbor
         Alfred O. Hero III; University of Michigan at Ann Arbor
 
SPTM-P5.11: MMSE DENOISING OF SPARSE LEVY PROCESSES VIA MESSAGE PASSING
         Ulugbek Kamilov; École Polytechnique Fédérale de Lausanne
         Arash Amini; École Polytechnique Fédérale de Lausanne
         Michael Unser; École Polytechnique Fédérale de Lausanne
 
SPTM-P5.12: COMPRESSED BEAMFORMING WITH APPLICATIONS TO ULTRASOUND IMAGING
         Noam Wagner; Technion – Israel Institute of Technology
         Yonina C. Eldar; Technion – Israel Institute of Technology
         Arie Feuer; Technion – Israel Institute of Technology
         Zvi Friedman; GE Health-care