2018年
Some issues in computing the CP decomposition of nonnegative Tensors
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
- ,
- ,
- 巻
- 10891 LNCS
- 号
- 開始ページ
- 57
- 終了ページ
- 66
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.1007/978-3-319-93764-9_6
- 出版者・発行元
- SPRINGER INTERNATIONAL PUBLISHING AG
© Springer International Publishing AG, part of Springer Nature 2018. Tensor decompositions are still in the process of study and development. In this paper, we point out a problem existing in nonnegative tensor decompositions, stemming from the representation of decomposable tensors by outer products of vectors, and propose approaches to solve it. In fact, a scaling indeterminacy appears whereas it is not inherent in the decomposition, and the choice of scaling factors has an impact during the execution of iterative algorithms and should not be overlooked. Computer experiments support the interest in the greedy algorithm proposed, in the case of the CP decomposition.
- リンク情報
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- DOI
- https://doi.org/10.1007/978-3-319-93764-9_6
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000521730400006&DestApp=WOS_CPL
- Scopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85048575222&origin=inward
- Scopus Citedby
- https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85048575222&origin=inward
- ID情報
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- DOI : 10.1007/978-3-319-93764-9_6
- ISSN : 0302-9743
- eISSN : 1611-3349
- SCOPUS ID : 85048575222
- Web of Science ID : WOS:000521730400006