Tensor completion via nonconvex tensor ring rank minimization with guaranteed convergence

14 May 2020Meng DingTing-Zhu HuangXi-Le ZhaoTian-Hui Ma

In recent studies, the tensor ring (TR) rank has shown high effectiveness in tensor completion due to its ability of capturing the intrinsic structure within high-order tensors. A recently proposed TR rank minimization method is based on the convex relaxation by penalizing the weighted sum of nuclear norm of TR unfolding matrices... (read more)

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