Reshaped tensor nuclear norms for higher order tensor completion

descriptionPublicationkeyboard_double_arrow_right Article 03 Jan 2021 Finland, Japan English Publisher:Springer Science and Business Media LLCJournal:Machine Learning, volume 110, pages 507-531 (issn: 0885-6125, eissn: 1573-0565,

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Authors: Kishan Wimalawarne; Hiroshi Mamitsuka;

doi: 10.1007/s10994-020-05927-y

handle: 2433/262422

Reshaped tensor nuclear norms for higher order tensor completion

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Abstract

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Finland, Japan

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Keywords

Tensor nuclear norm, Numerical optimization and variational techniques, Reshaping, Numerical methods for low-rank matrix approximation; matrix compression, reshaping, tensor nuclear norm, generalization bounds, Generalization bounds, Multilinear algebra, tensor calculus, CP rank

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