2016
A Pseudo-Bayesian Algorithm for Robust PCA
NeurIPS 2016poster
Commonly used in many applications, robust PCA represents an algorithmic attempt to reduce the sensitivity of classical PCA to outliers. The basic idea is to learn a decomposition of some data matrix of interest into low rank and sparse components, the latter representing unwanted outliers. Althou…