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06/25/2022
Tensor Recovery Based on A Novel Non-convex Function Minimax Logarithmic Concave Penalty Function
Non-convex relaxation methods have been widely used in tensor recovery p...
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01/30/2022
Tensor Recovery Based on Tensor Equivalent Minimax-Concave Penalty
Tensor recovery is an important problem in computer vision and machine l...
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09/25/2021
Tensor Full Feature Measure and Its Nonconvex Relaxation Applications to Tensor Recovery
Tensor sparse modeling as a promising approach, in the whole of science ...
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08/17/2021
Deep neural network methods for solving forward and inverse problems of time fractional diffusion equations with conformable derivative
Physics-informed neural networks (PINNs) show great advantages in solvin...
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08/06/2021
Fast and Accurate Low-Rank Tensor Completion Methods Based on QR Decomposition and L_2,1 Norm Minimization
More recently, an Approximate SVD Based on Qatar Riyal (QR) Decompositio...
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11/16/2019
