Incremental learning method of simple-PCA

Tadahiro Oyama, Stephen Karungaru, Satoru Tsuge, Yasue Mitsukura, Minoru Fukumi

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

In this paper, we propose an incremental learning algorithm named Incremental Simple-PCA. This algorithm is added an incremental learning function to the Simple-PCA that is an approximation algorithm of the principal component analysis where an eigenvector can be calculated by a simple repeated calculation. Using the proposed algorithm, it allows to update faster the eigenvector by using incremental data. To verify the effectiveness of this algorithm, we carry out computer simulations on personal authentication that uses face images and wrist motion discrimination using wrist EMG by incremental learning. As a result, we can confirm the effectiveness from the aspects of accuracy and a computing time by comparing the Incremental PCA that gave the incremental learning function to the conventional PCA.

本文言語English
ホスト出版物のタイトルKnowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings
出版社Springer Verlag
ページ403-410
ページ数8
PART 2
ISBN(印刷版)3540855645, 9783540855644
DOI
出版ステータスPublished - 2008
外部発表はい
イベント12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008 - Zagreb, Croatia
継続期間: 2008 9月 32008 9月 5

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 2
5178 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008
国/地域Croatia
CityZagreb
Period08/9/308/9/5

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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