Wenjin Qin

Robust High-Order Tensor Recovery Via Nonconvex Low-Rank Approximation

The latest tensor recovery methods based on tensor Singular Value Decomposition (t-SVD) mainly utilize the tensor nuclear norm (TNN) as a convex surrogate of the rank function. However, TNN minimization treats each rank component equally and tends to over-shrink the dominant ones, thereby usually le…