19 citations · 59 across the 22 of their papers we have counts for
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math.OC2018
A Nonconvex Projection Method for Robust PCA
Aritra Dutta, Filip Hanzely, Peter Richtárik
Robust principal component analysis (RPCA) is a well-studied problem with the goal of decomposing a matrix into the sum of low-rank and sparse components. In this paper, we propose…
cs.CV2018★ 7 cited
Weighted Low-Rank Approximation of Matrices and Background Modeling
Aritra Dutta, Xin Li, Peter Richtarik
We primarily study a special a weighted low-rank approximation of matrices and then apply it to solve the background modeling problem. We propose two algorithms for this purpose: o…