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

Kexin Li, You-wei Wen, Xu Xiao +1

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 as…