Incremental learning method of simple-PCA

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages403-410
Number of pages8
Volume5178 LNAI
EditionPART 2
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008 - Zagreb, Croatia
Duration: 2008 Sep 32008 Sep 5

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5178 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

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

Fingerprint

Incremental Learning
Eigenvalues and eigenfunctions
Eigenvector
Approximation algorithms
Principal component analysis
Authentication
Learning algorithms
Incremental Algorithm
Principal Component Analysis
Discrimination
Approximation Algorithms
Learning Algorithm
Computer Simulation
Update
Computer simulation
Face
Verify
Motion
Computing

Keywords

  • Face recognition
  • Incremental learning
  • Incremental PCA
  • Incremental simple-PCA
  • PCA
  • Simple-PCA

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Oyama, T., Karungaru, S., Tsuge, S., Mitsukura, Y., & Fukumi, M. (2008). Incremental learning method of simple-PCA. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 5178 LNAI, pp. 403-410). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5178 LNAI, No. PART 2). https://doi.org/10.1007/978-3-540-85565-1-50

Incremental learning method of simple-PCA. / Oyama, Tadahiro; Karungaru, Stephen; Tsuge, Satoru; Mitsukura, Yasue; Fukumi, Minoru.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5178 LNAI PART 2. ed. 2008. p. 403-410 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5178 LNAI, No. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Oyama, T, Karungaru, S, Tsuge, S, Mitsukura, Y & Fukumi, M 2008, Incremental learning method of simple-PCA. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 5178 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 5178 LNAI, pp. 403-410, 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008, Zagreb, Croatia, 08/9/3. https://doi.org/10.1007/978-3-540-85565-1-50
Oyama T, Karungaru S, Tsuge S, Mitsukura Y, Fukumi M. Incremental learning method of simple-PCA. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 5178 LNAI. 2008. p. 403-410. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-540-85565-1-50
Oyama, Tadahiro ; Karungaru, Stephen ; Tsuge, Satoru ; Mitsukura, Yasue ; Fukumi, Minoru. / Incremental learning method of simple-PCA. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5178 LNAI PART 2. ed. 2008. pp. 403-410 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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