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Outlier-aware Tensor Robust Principal Component Analysis with Self-guided Data Augmentation

Outlier-aware Tensor Robust Principal Component Analysis with Self-guided Data Augmentation

Yangyang Xu
Kexin Li
Li Yang
You-wei Wen
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Papers citing "Outlier-aware Tensor Robust Principal Component Analysis with Self-guided Data Augmentation"

3 / 3 papers shown
Title
Efficient Tensor Robust PCA under Hybrid Model of Tucker and Tensor Train
Efficient Tensor Robust PCA under Hybrid Model of Tucker and Tensor Train
Yuning Qiu
Guoxu Zhou
Zhenhao Huang
Qibin Zhao
Shengli Xie
37
25
0
20 Dec 2021
Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm
Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm
Tai-Xiang Jiang
Tingzhu Huang
Xile Zhao
Liang-Jian Deng
51
107
0
15 Dec 2017
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization
Canyi Lu
Jiashi Feng
Yudong Chen
Wen Liu
Zhouchen Lin
Shuicheng Yan
36
482
0
14 Aug 2017