ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2504.18323
  4. Cited By
Outlier-aware Tensor Robust Principal Component Analysis with Self-guided Data Augmentation

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

25 April 2025
Yangyang Xu
Kexin Li
Li Yang
You-wei Wen
ArXivPDFHTML

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
44
482
0
14 Aug 2017
1