Multilayer Sparsity-Based Tensor Decomposition for Low-Rank Tensor Completion
Multilayer Sparsity-Based Tensor Decomposition for Low-Rank Tensor Completion
Existing methods for tensor completion (TC) have limited ability for characterizing low-rank (LR) structures. To depict the complex hierarchical knowledge with implicit sparsity attributes hidden in a tensor, we propose a new multilayer sparsity-based tensor decomposition (MLSTD) for the low-rank tensor completion (LRTC). The method encodes the structured sparsity of …