Informed Non-convex Robust Principal Component Analysis with Features

The dataset used in this paper is a low-rank matrix M, which can be decomposed into a low-rank component L∗ and a sparse error matrix S∗. The authors use this dataset to test their proposed algorithm for robust principal component analysis with features.