HIGHLIGHTS
- who: Siqi Liu and collaborators from the School of Information Science and Technology, ShanghaiTech University, Shanghai, China have published the article: Rank-Adaptive Tensor Completion Based on Tucker Decomposition, in the Journal: Entropy 2023, 25, 225. of /2023/
- what: To tackle this problem the authors design an alternative iterating method that breaks the original problem into several matrix completion subproblems and adaptively adjusts the multilinear rank of the model during optimization procedures. Through numerical experiments on synthetic data and authentic images the authors show that the proposed method can effectively estimate the tensor ranks and . . .
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