Sep 2026
Low-Rankness Enhanced Robust Tensor Principal Component Analysis: A Nonlinear Monotonic Function Approach.
Low-rankness, recognized as an intrinsic property of high-dimensional data, plays a central role in many data recovery tasks, such as robust tensor principal component analysis (RTPCA). The main idea of RTPCA is to employ an appropriate convex or nonconvex tensor nuclear norm (TNN) to emphasize significant singular val...
Wei-Dong Zhang, Yan Song, De-Rui Ding et al.
· IEEE Transactions on Neural... · 0 citations