most citedManifold Denoising by Nonlinear Robust Principal Component Analysis

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math.NA2020

Fast algorithms for robust principal component analysis with an upper bound on the rank

Ningyu Sha, Lei Shi, Ming Yan

The robust principal component analysis (RPCA) decomposes a data matrix into a low-rank part and a sparse part. There are mainly two types of algorithms for RPCA. The first type of…