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

K Li, Y Wen, X Xiao, M Zhao - arXiv preprint arXiv:2412.14629, 2024 - arxiv.org
Robust Principal Component Analysis (RPCA) is a fundamental technique for decomposing
data into low-rank and sparse components, which plays a critical role for applications such …