Principal Component Analysis with Contaminated Data: The High Dimensional Case

Huan Xu, Constantine Caramanis, Shie Mannor

We consider the dimensionality-reduction problem (finding a subspace approximation of observed data) for contaminated data in the high dimensional regime, where the number of obser…