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SPTM-P10: Sparsity-Aware Processing and Learning II

Session Type: Poster
Time: Thursday, March 24, 13:30 - 15:30
Location: Poster Area F
Session Chair: Daniel Palomar, Hong Kong University of Science and Technology
 
  SPTM-P10.1: DICTIONARY LEARNING FOR POISSON COMPRESSED SENSING
         Sukanya Patil; Indian Institute of Technology Bombay
         Rajbabu Velmurugan; Indian Institute of Technology Bombay
         Ajit Rajwade; Indian Institute of Technology Bombay
 
  SPTM-P10.2: INDEPENDENT VERSUS REPEATED MEASUREMENTS: A PERFORMANCE QUANTIFICATION VIA STATE EVOLUTION
         Yang Lu; Imperial College London
         Wei Dai; Imperial College London
 
  SPTM-P10.3: NONCONVEX COMPRESSIVE SENSING RECONSTRUCTION FOR TENSOR USING STRUCTURES IN MODES
         Xin Ding; University of Cambridge
         Wei Chen; Beijing Jiaotong University
         Ian Wassell; University of Cambridge
 
  SPTM-P10.4: BEYOND LOW RANK + SPARSE: MULTI-SCALE LOW RANK MATRIX DECOMPOSITION
         Frank Ong; University of California, Berkeley
         Michael Lustig; University of California, Berkeley
 
  SPTM-P10.5: PCA USING GRAPH TOTAL VARIATION
         Nauman Shahid; École Polytechnique Fédérale de Lausanne
         Nathanael Perraudin; École Polytechnique Fédérale de Lausanne
         Vassilis Kalofolias; École Polytechnique Fédérale de Lausanne
         Benjamin Ricaud; École Polytechnique Fédérale de Lausanne
         Pierre Vandergheynst; École Polytechnique Fédérale de Lausanne
 
  SPTM-P10.6: MANIFOLD DENOISING BASED ON SPECTRAL GRAPH WAVELETS
         Shay Deutsch; University of Southern California
         Antonio Ortega; University of Southern California
         Gerard Medioni; University of Southern California
 
  SPTM-P10.7: SPARSE CANONICAL CORRELATION ANALYSIS BASED ON RANK-1 MATRIX APPROXIMATION AND ITS APPLICATION FOR FMRI SIGNALS
         Abdeldjalil Aïssa-El-Bey; Institut Mines-Télécom; Telecom Bretagne
         Abd-Krim Seghouane; University of Melbourne
 
  SPTM-P10.8: ORTHOGONAL SPARSE EIGENVECTORS: A PROCRUSTES PROBLEM
         Konstantinos Benidis; Hong Kong University of Science and Technology
         Ying Sun; Hong Kong University of Science and Technology
         Prabhu Babu; Hong Kong University of Science and Technology
         Daniel P. Palomar; Hong Kong University of Science and Technology
 
  SPTM-P10.9: REFERENCE-BASED COMPRESSED SENSING: A SAMPLE COMPLEXITY APPROACH
         Joao Mota; University College London
         Lior Weizman; Technion - Israel Institute of Technology
         Nikos Deligiannis; Vrije Universiteit Brussel
         Yonina C. Eldar; Technion - Israel Institute of Technology
         Miguel Rodrigues; University College London
 
  SPTM-P10.10: BEYOND L2-LOSS FUNCTIONS FOR LEARNING SPARSE MODELS
         Karthikeyan Natesan Ramamurthy; IBM Thomas J. Watson Research Center
         Aleksandr Aravkin; University of Washington
         Jayaraman J. Thiagarajan; Lawrence Livermore National Laboratory
 

ICASSP 2016 Patrons