Outlier based Robust Principal Component Analysis (RPCA) requires centering of the non-outliers. We show a "bias trick" that automatically centers these non-outliers. Using this bias trick we obtain the first RPCA algorithm that is optimal with respect to centering.
@article{arxiv.1911.08024,
title = {A Bias Trick for Centered Robust Principal Component Analysis},
author = {Baokun He and Guihong Wan and Haim Schweitzer},
journal= {arXiv preprint arXiv:1911.08024},
year = {2019}
}