Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm

10 Apr 2018Canyi LuJiashi FengYudong ChenWei LiuZhouchen LinShuicheng Yan

In this paper, we consider the Tensor Robust Principal Component Analysis (TRPCA) problem, which aims to exactly recover the low-rank and sparse components from their sum. Our model is based on the recently proposed tensor-tensor product (or t-product)... (read more)

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