SPTM-P9: Sparsity and Low-Rank Models
Fri, 19 Apr, 13:10 - 15:10 (UTC +9)
Location: Poster Zone 4C
Session Type: Poster
Session Chair: Isao Yamada, Tokyo Institute of Technology
Track: Signal Processing Theory and Methods
Click the to view the manuscript on IEEE Xplore Open Preview
 

SPTM-P9.1: ROBUST LOW-RANK CORRELATION FITTING
Thu Ha Phi, University Paris Nanterre, France; Alexandre Hippert-Ferrer, University Gustave Eiffel, France; Florent Bouchard, University Paris-Saclay, France; Arnaud Breloy, University Paris Nanterre, France
 

SPTM-P9.2: PROVABLE RANDOMIZED COORDINATE DESCENT FOR MATRIX COMPLETION
Matthew Callahan, Oregon State University, United States of America; Trung Vu, University of Maryland, Baltimore County, United States of America; Raviv Raich, Oregon State University, United States of America
 

SPTM-P9.3: PROBABILISTIC SIMPLEX COMPONENT ANALYSIS VIA VARIATIONAL AUTO-ENCODING
Yuening Li, The Chinese University of Hong Kong, Hong Kong; Xiao Fu, Oregon State University, United States of America; Wing-Kin Ma, The Chinese University of Hong Kong, Hong Kong
 

SPTM-P9.4: Physically-constrained block-term tensor decomposition for polarimetric image recovery
Saulo Cardoso Barreto, Université de Lorraine, Centre de Recherche en Automatique de Nancy (CRAN), France; Julien Flamant, Centre national de la recherche scientifique (CNRS), Centre de Recherche en Automatique de Nancy (CRAN), France; Sebastian Miron, David Brie, Université de Lorraine, Centre de Recherche en Automatique de Nancy (CRAN), France
 

SPTM-P9.5: SKETCHED COLUMN-BASED MATRIX APPROXIMATION WITH SIDE INFORMATION
Jeongmin Chae, Praneeth Narayanamurthy, Selin Bac, Shaama Mallikarjun Sharada, Urbashi Mitra, University of Southern California, United States of America
 

SPTM-P9.6: Non-uniform Frequency Spacing for Regularization-free Gridless DOA
Yifan Wu, University of California, San Diego, United States of America; Michael Wakin, Colorado School of Mines, United States of America; Peter Gerstoft, Yongsung Park, University of California, San Diego, United States of America
 

SPTM-P9.7: GRAPH LOCAL-SMOOTH DICTIONARY LEARNING
Quentin LABORDE, Antoine MAZARGUIL, Laurent OUDRE, ENS Paris-Saclay, France
 

SPTM-P9.8: Unlabelled Sensing with Priors: Algorithm and Bounds
Garweet Sresth, Ajit Rajwade, Satish Mulleti, Indian Institute of Technology Bombay, India, India
 

SPTM-P9.9: Adaptive Sensor Selection With Deterministic Priors for DoA Tracking
Kaushani Majumder, Sibi Raj B. Pillai, Indian Institute of Technology Bombay, India, India; Yonina C. Eldar, Weizmann Institute of Science, Israel; Satish Mulleti, Indian Institute of Technology Bombay, India, India
 

SPTM-P9.10: A VARIABLE SMOOTHING FOR NONCONVEXLY CONSTRAINED NONSMOOTH OPTIMIZATION WITH APPLICATION TO SPARSE SPECTRAL CLUSTERING
Keita Kume, Isao Yamada, Tokyo Institute of Technology, Japan