Higher-dimension Tensor Completion via Low-rank Tensor Ring Decomposition
Higher-dimension Tensor Completion via Low-rank Tensor Ring Decomposition
The problem of incomplete data is common in signal processing and machine learning. Tensor completion algorithms aim to recover the incomplete data from its partially observed entries. In this paper, taking advantages of high compressibility and flexibility of recently proposed tensor ring (TR) decomposition, we propose a new tensor completion …