笔记：Tensor RPCA: Exact recovery of corrupted low-rank tensors via convex optimization简介符号与标记实验
Lu, C., et al., Tensor robust principal component analysis: Exact recovery of corrupted low-rank tensors via convex optimization, in IEEE Conference on Computer Vision and Pattern Recognition. 2016. p
