Low-Tubal-Rank Tensor Completion Using Alternating Minimization

DOI10.1109/TIT.2019.2959980zbMath1446.65023arXiv1610.01690OpenAlexW2996534391MaRDI QIDQ5123815

Shuchin Aeron, Vaneet Aggarwal, Xiaoyang Liu, Xiaodong Wang

Publication date: 29 September 2020

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1610.01690

zbMATH Keywords

tensor completionalternating minimization methodlow-rank tensor approximation

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of mathematical programming (90C90) Multilinear algebra, tensor calculus (15A69) Matrix completion problems (15A83) Numerical methods for low-rank matrix approximation; matrix compression (65F55)

Related Items (4)

Regularized high dimension low tubal-rank tensor regression ⋮ Proximal gradient algorithm for nonconvex low tubal rank tensor recovery ⋮ Tensor completion based on triple tubal nuclear norm ⋮ Robust tensor recovery with nonconvex and nonsmooth regularization

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