Nonnegative Tensor Completion via Low-Rank Tucker Decomposition: Model and Algorithm
Nonnegative Tensor Completion via Low-Rank Tucker Decomposition: Model and Algorithm
We consider the problem of low-rank tensor decomposition of incomplete tensors that has applications in many data analysis problems, such as recommender systems, signal processing, machine learning, and image inpainting. In this paper, we focus on nonnegative tensor completion via low-rank Tucker decomposition for dealing with it. The specialty of …