Incremental learning method of Simple-PCA

被引：0

作者：

Oyama, Tadahiro ^{[1
]}

Karungaru, Stephen ^{[1
]}

Tsuge, Satoru ^{[1
]}

Mitsukura, Yasue ^{[2
]}

Fukumi, Minoru ^{[1
]}

机构：

[1] Univ Tokushima, Dept Informat Sci & Intelligent Syst, 2-1 Minami Josanjima, Tokushima 7708506, Japan

[2] Tokyo Univ Agr & Technol, Grad Sch Bio Applicat & Syst Engn, Koganei, Tokyo 1848588, Japan

来源：

KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS | 2008年 / 5178卷

关键词：

PCA; Simple-PCA; Incremental PCA; Incremental Simple-PCA; incremental learning; face recognition;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 call 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.

引用

页码：403 / +

页数：2

共 11 条

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