Low-Rank and Sparse Enhanced Tucker Decomposition for Tensor Completion
Low-Rank and Sparse Enhanced Tucker Decomposition for Tensor Completion
Tensor completion refers to the task of estimating the missing data from an incomplete measurement or observation, which is a core problem frequently arising from the areas of big data analysis, computer vision, and network engineering. Due to the multidimensional nature of high-order tensors, the matrix approaches, e.g., matrix factorization …