Multi-Directional Tensor Average Rank Regularization for High-Order Tensor Completion

Recently, the high-order tensor Singular Value Decomposition (t-SVD) and the t-SVD rank has achieved great success in tensor completion. However, the t-SVD rank lacks the flexibility to capture the correlations between different modes of a high-order tensor. In addition, the Tensor Nuclear Norm (TNN...

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Principais autores:	Zixuan Han, Mingjian Gu, Yong Hu
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2026-01-01
סדרה:	IEEE Access
נושאים:	Low-rank high-order tensor completion (LRHOTC) multi-directional tensor average rank multi-directional tensor φ Norm (MDTN) alternating direction method of multipliers (ADMM)
גישה מקוונת:	https://ieeexplore.ieee.org/document/11370855/
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