Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers

Quanming Yao, James T. Kwok, Taifeng Wang +1

Low-rank modeling has many important applications in computer vision and machine learning. While the matrix rank is often approximated by the convex nuclear norm, the use of noncon…