2 papers
math.NA2025
Tensor robust principal component analysis via the tensor nuclear over Frobenius norm
Huiwen Zheng, Yifei Lou, Guoliang Tian +1
We address the problem of tensor robust principal component analysis (TRPCA), which entails decomposing a given tensor into the sum of a low-rank tensor and a sparse tensor. By lev…
math.NA2024
Variational Bayesian Inference for Tensor Robust Principal Component Analysis
Chao Wang, Huiwen Zheng, Raymond Chan +1
Tensor Robust Principal Component Analysis (TRPCA) holds a crucial position in machine learning and computer vision. It aims to recover underlying low-rank structures and to charac…