LAUSR

Simultaneously Sparse and Low-Rank Matrix Reconstruction via Nonconvex and Nonseparable Regularization

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0 Published in 2018 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2018.2867995

Abstract: Many real-world problems involve the recovery of a matrix from linear measurements, where the matrix lies close to some low-dimensional structure. This paper considers the problem of reconstructing a matrix with a simultaneously sparse and… read more here.

Keywords: sparse low; simultaneously sparse; matrix; rank matrix ... See more keywords