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The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices
Low-rank matrix recovery or completion Robust principal component analysis Nuclear norm minimization
2010/12/13
This paper proposes scalable and fast algorithms for solving the Robust PCA problem, namely recovering a low-rank matrix with an unknown fraction of its entries being arbitrarily corrupted. This probl...