Chang-Long Li

Bayesian Robust Fully-Connected Tensor Network Decomposition for Visual Data Denoising

Tensor Robust Principal Component Analysis (TRPCA) aims to recover low-rank and sparse components from the noisy tensor data, which has attracted significant attention in visual data denoising. However, existing CANDECOMP/PARAFAC (CP) and Tucker decomposition methods fail to fully exploit inter-dimensional correlations...