ICNNM reformulates CNNM using pre-learned shared convolution eigenvectors to bypass SVD computations, significantly reducing time while improving recovery performance for tensor completion with arbitrary sampling.
The augmented lagrange multiplier method for exact recovery of corrupted low-rank matrices,
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Inductive Convolution Nuclear Norm Minimization for Tensor Completion with Arbitrary Sampling
ICNNM reformulates CNNM using pre-learned shared convolution eigenvectors to bypass SVD computations, significantly reducing time while improving recovery performance for tensor completion with arbitrary sampling.