Estimating Structural Missing Values Via Low-Tubal-Rank Tensor Completion

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Estimating Structural Missing Values Via Low-Tubal-Rank Tensor Completion


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Estimating Structural Missing Values Via Low-Tubal-Rank Tensor Completion

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The recently proposed Tensor Nuclear Norm (TNN) minimization has been widely used for tensor completion. However, previous works didn't consider the structural difference between the observed data and missing data, which widely exists in many applications
The recently proposed Tensor Nuclear Norm (TNN) minimization has been widely used for tensor completion. However, previous works didn't consider the structural difference between the observed data and missing data, which widely exists in many applications