Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery

Namrata Vaswani, Thierry Bouwmans, Sajid Javed +1

PCA is one of the most widely used dimension reduction techniques. A related easier problem is "subspace learning" or "subspace estimation". Given relatively clean data, both are e…