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IEEE Transactions on Pattern Analysis and Machine Intelligence· 2019Q1

Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm

Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu et al.

Short summary

A new tensor nuclear norm, derived from the tensor-tensor product (t-product), is proven to be the convex envelope of the tensor average rank, enabling exact recovery of low-rank and sparse components in Tensor Robust Principal Component Analysis (TRPCA).

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Field: Computational Mechanics

Computational MechanicsEngineering