SPTM-8.5
Robust Recovery of Jointly-Sparse Signals Using Minimax Concave Loss Function
Kyohei Suzuki, Masahiro Yukawa, Keio University, Japan
Session:
Sparsity-aware Processing
Track:
Signal Processing Theory and Methods
Location:
Gather Area M
Presentation Time:
Mon, 9 May, 23:00 - 23:45 China Time (UTC +8)
Mon, 9 May, 15:00 - 15:45 UTC
Mon, 9 May, 15:00 - 15:45 UTC
Session Chair:
Yi Zhou, National University of Singapore
Presentation
Discussion
Resources
No resources available.
Session SPTM-8
SPTM-8.1: LEARNING GAUSSIAN GRAPHICAL MODELS WITH DIFFERING PAIRWISE SAMPLE SIZES
Lili Zheng, Genevera Allen, Rice University, United States of America
SPTM-8.2: r-LOCAL UNLABELED SENSING: IMPROVED ALGORITHM AND APPLICATIONS
Ahmed Ali Abbasi, Shuchin Aeron, Tufts ECE, United States of America; Abiy Tasissa, Tufts Department of Mathematics, United States of America
SPTM-8.3: FEDERATED OVER-AIR ROBUST SUBSPACE TRACKING FROM MISSING DATA
Praneeth Narayanamurthy, Namrata Vaswani, Aditya Ramamoorthy, Iowa State University, United States of America
SPTM-8.4: ON CONTINUOUS-DOMAIN INVERSE PROBLEMS WITH SPARSE SUPERPOSITIONS OF DECAYING SINUSOIDS AS SOLUTIONS
Rahul Parhi, Robert Nowak, University of Wisconsin-Madison, United States of America
SPTM-8.5: Robust Recovery of Jointly-Sparse Signals Using Minimax Concave Loss Function
Kyohei Suzuki, Masahiro Yukawa, Keio University, Japan
SPTM-8.6: Multiplication-Avoiding Variant of Power Iteration with Applications
Hongyi Pan, Diaa Badawi, Runxuan Miao, Erdem Koyuncu, Ahmet Enis Cetin, Univerity of Illiniois at Chicago, United States of America