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20092023
most citedRobust Low-rank Tensor Recovery: Models and Algorithms

425 citations · 1.1k across the 32 of their papers we have counts for

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Showing 2013 · math.OCShow all

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math.OC2013★ 1 cited

Efficient Algorithms for Robust and Stable Principal Component Pursuit Problems

Necdet Serhat Aybat, Donald Goldfarb, Shiqian Ma

The problem of recovering a low-rank matrix from a set of observations corrupted with gross sparse error is known as the robust principal component analysis (RPCA) and has many app…