A proposal of l1 regularized distance metric learning for high dimensional sparse vector space

Kenta Mikawa, Manabu Kobayashi, Masayuki Goto, Shigeichi Hirasawa

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

In this paper, we focus on pattern recognition based on the vector space model with the high dimensional and sparse data. One of the pattern recognition methods is metric learning which learns a metric matrix by using the iterative optimization procedure. However most of the metric learning methods tend to cause overfitting and increasing computational time for high dimensional and sparse settings. To avoid these problems, we propose the method of l1 regularized metric learning by using the algorithm of alternating direction method of multiplier (ADMM) in the supervised setting. The effectiveness of our proposed method is clarified by classification experiments by using the Japanese newspaper article and UCI machine learning repository. And we show proposed method is the special case of the statistical sparse covariance selection.

元の言語English
ホスト出版物のタイトルProceedings - 2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014
出版者Institute of Electrical and Electronics Engineers Inc.
ページ1985-1990
ページ数6
エディションJanuary
ISBN(電子版)9781479938407
DOI
出版物ステータスPublished - 2014 1 1
イベント2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014 - San Diego, United States
継続期間: 2014 10 52014 10 8

出版物シリーズ

名前Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
番号January
2014-January
ISSN(印刷物)1062-922X

Other

Other2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014
United States
San Diego
期間14/10/514/10/8

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

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  • これを引用

    Mikawa, K., Kobayashi, M., Goto, M., & Hirasawa, S. (2014). A proposal of l1 regularized distance metric learning for high dimensional sparse vector space. : Proceedings - 2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014 (January 版, pp. 1985-1990). [6974212] (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; 巻数 2014-January, 番号 January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/smc.2014.6974212