Sparse Additive Matrix Factorization for Robust PCA and Its Generalization

Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan

Abstract: Principal component analysis (PCA) can be regarded as approximating a data matrix with a low-rank one by imposing sparsity on its singular values, and its robust variant further captures sparse noi...