Technical Program
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 |