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cs.CV2022
Low-Rank Tensor Completion Based on Bivariate Equivalent Minimax-Concave Penalty
Hongbing Zhang, Xinyi Liu, Hongtao Fan +2
Low-rank tensor completion (LRTC) is an important problem in computer vision and machine learning. The minimax-concave penalty (MCP) function as a non-convex relaxation has achieve…
cs.CV2021
Tensor Full Feature Measure and Its Nonconvex Relaxation Applications to Tensor Recovery
Hongbing Zhang, Xinyi Liu, Hongtao Fan +2
Tensor sparse modeling as a promising approach, in the whole of science and engineering has been a huge success. As is known to all, various data in practical application are often…