Efficient Implementation of Truncated Reweighting Low-Rank Matrix Approximation

The weighted nuclear norm minimization and truncated nuclear norm minimization are two well-known low-rank constraint for visual applications. In this paper, by integrating their advantages into a unified formulation, we find a better weighting strategy, namely truncated reweighting norm minimizatio...

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