Tensor completion using enhanced multiple modes low-rank prior and total variation

19 Apr 2020Haijin ZengXiaozhen XieJifeng Ning

In this paper, we propose a novel model to recover a low-rank tensor by simultaneously performing double nuclear norm regularized low-rank matrix factorizations to the all-mode matricizations of the underlying tensor. An block successive upper-bound minimization algorithm is applied to solve the model... (read more)

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