Missing Data Recovery Based on Tensor-CUR Decomposition

Journal article

Authors/Editors

Semong, Thabo

Research Areas

No matching items found.

Publication Details

Author list: Wang LL, Xie K, Semong T, Zhou HB

Publisher: Institute of Electrical and Electronics Engineers (IEEE): OAJ / IEEE

Place: PISCATAWAY

Publication year: 2018

Journal: IEEE Access (2169-3536)

Journal acronym: IEEE ACCESS

Volume number: 6

Start page: 532

End page: 544

Number of pages: 13

ISSN: 2169-3536

eISSN: 2169-3536

Languages: English-Great Britain (EN-GB)

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Abstract

Tensor completion is a higher way analog of matrix completion, which has proven to be a powerful tool for data analysis. In this paper, we formulate the missing data recovery problem of a three-way tensor as a tensor completion problem. We propose a novel tensor completion method based on tensor-CUR decomposition to estimate the missing data from limited samples. Computational experiments demonstrate that the proposed method yields a superior performance over other existing approaches.

Keywords

Data recovery, tensor completion, tensor-CUR decomposition

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