Technical Program

SPTM-P9: Dictionary Learning and Low Rank Matrix Approximation

Session Type: Poster
Time: Wednesday, March 8, 08:30 - 10:30
Location: Churchill: Poster Area F
Session Chair: Andreas Jakobsson, Lund University, Sweden
 
SPTM-P9.1: A NEW FRAMEWORK FOR DESIGNING INCOHERENT SPARSIFYING DICTIONARIES
         Gang Li; Zhejiang University of Science and Technology
         Zhihui Zhu; Colorado School of Mines
         Huang Bai; Zhejiang University of Technology
         Aihua Yu; Zhejiang University of Technology
 
SPTM-P9.2: STRUCTURE-AWARE CLASSIFICATION USING SUPERVISED DICTIONARY LEARNING
         Yael Yankelevsky; Technion - Israel Institute of Technology
         Michael Elad; Technion - Israel Institute of Technology
 
SPTM-P9.3: ESTIMATING SPARSE SIGNALS USING INTEGRATED WIDE-BAND DICTIONARIES
         Maksim Butsenko; Tallinn University of Technology
         Johan Swärd; Lund University
         Andreas Jakobsson; Lund University
 
SPTM-P9.4: SPARSITY REGULARIZED PRINCIPAL COMPONENT PURSUIT
         Jing Liu; University of California, San Diego
         Pamela Cosman; University of California, San Diego
         Bhaskar D. Rao; University of California, San Diego
 
SPTM-P9.5: FAST EXEMPLAR SELECTION ALGORITHM FOR MATRIX APPROXIMATION AND REPRESENTATION: A VARIANT OASIS ALGORITHM
         Vinayak Abrol; Indian Institute of Technology Mandi
         Pulkit Sharma; Indian Institute of Technology Mandi
         Anil Kumar Sao; Indian Institute of Technology Mandi
 
SPTM-P9.6: MATRIX COMPLETION OF NOISY GRAPH SIGNALS VIA PROXIMAL GRADIENT MINIMIZATION
         Pere Giménez-Febrer; Universitat Politècnica de Catalunya
         Alba Pagès-Zamora; Universitat Politècnica de Catalunya
 
SPTM-P9.7: LOW RANK PHASE RETRIEVAL
         Seyedehsara Nayer; Iowa State University
         Namrata Vaswani; Iowa State University
         Yonina C. Eldar; Technion - Israel Institute of Technology
 
SPTM-P9.8: FAST AND PRIVACY PRESERVING DISTRIBUTED LOW-RANK REGRESSION
         Hoi-To Wai; Arizona State University
         Anna Scaglione; Arizona State University
         Jean Lafond; Télécom ParisTech
         Eric Moulines; École Polytechnique
 
SPTM-P9.9: BLIND DECONVOLUTION FROM MULTIPLE SPARSE INPUTS
         Liming Wang; The Ohio State University
         Yuejie Chi; The Ohio State University
 
SPTM-P9.10: OPTIMAL LOW-RANK DYNAMIC MODE DECOMPOSITION
         Patrick Héas; INRIA - Centre de Rennes, Bretagne Atlantique
         Cédric Herzet; INRIA - Centre de Rennes, Bretagne Atlantique