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Found 4 papers, 0 papers with code
Tensor Recovery Based on A Novel Non-convex Function Minimax Logarithmic Concave Penalty Function
The proposed function is generalized to tensor cases, yielding tensor MLCP and weighted tensor $L\gamma$-norm.
Low-Rank Tensor Completion Based on Bivariate Equivalent Minimax-Concave Penalty
To makes all the constant parameters of the MCP function as variables so that futherly improving the adaptability to the change of singular values in the LRTC problem, we propose the bivariate equivalent minimax-concave penalty (BEMCP) theorem.
Tensor Full Feature Measure and Its Nonconvex Relaxation Applications to Tensor Recovery
Tensor sparse modeling as a promising approach, in the whole of science and engineering has been a huge success.
Two New Low Rank Tensor Completion Methods Based on Sum Nuclear Norm
This paper proposes a new tensor $L_{2, 1}$ norm minimization model (TLNM) that integrates sum nuclear norm (SNN) method, differing from the classical tensor nuclear norm (TNN)-based tensor completion method, with $L_{2, 1}$ norm and Qatar Riyal decomposition for solving the LRTC problem.
