Low-Rank Tensor Completion by Truncated Nuclear Norm Regularization

3 Dec 2017 Shengke Xue Wenyuan Qiu Fan Liu Xinyu Jin

Currently, low-rank tensor completion has gained cumulative attention in recovering incomplete visual data whose partial elements are missing. By taking a color image or video as a three-dimensional (3D) tensor, previous studies have suggested several definitions of tensor nuclear norm... (read more)

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