most citedRobust PCA Based on Adaptive Weighted Least Squares and Low-Rank Matrix Factorization

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math.NA2025

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

Yangyang Xu, Kexin Li, Li Yang +1

Tensor Robust Principal Component Analysis (TRPCA) is a fundamental technique for decomposing multi-dimensional data into a low-rank tensor and an outlier tensor, yet existing meth…