Presentation 2013-03-14
Correction Term of Fisher Discriminant Analysis Based on Normal Distribution
Tatsuya YOKOTA, Toru WAKAHARA, Hitoshi SAKANO, Yukihiko YAMASHITA,
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Abstract(in English) Fisher's linear discriminant is one of the most basic feature extraction methods for pattern recognition. However, even if the distributions of patters is normal but if the correlation matrices of patterns are not the same among categories, it does not provide the best features to classify the patterns. In this paper, we assume that the distributions of patterns are normal and provide two criteria, the one using the distribution of the rival categories as weight and the other based on the Chernoff distance of distributions. We derive corrections terms for the generalized eigenvalue problem for the case of one feature extraction in two class classification. Furthermore, we evaluate its performance by using 2-dimensional normal distributions and MNIST database.
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Keyword(in English) Fisher's linear discriminant analysis / correction term / Chernoff distance / Bhattacharyya distance
Paper # PRMU2012-185
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Committee PRMU
Conference Date 2013/3/7(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Correction Term of Fisher Discriminant Analysis Based on Normal Distribution
Sub Title (in English)
Keyword(1) Fisher's linear discriminant analysis
Keyword(2) correction term
Keyword(3) Chernoff distance
Keyword(4) Bhattacharyya distance
1st Author's Name Tatsuya YOKOTA
1st Author's Affiliation Graduate School of Science and Engineering, Tokyo Institute of Technology()
2nd Author's Name Toru WAKAHARA
2nd Author's Affiliation Faculty of Computer and Information Sciences, Hosei University
3rd Author's Name Hitoshi SAKANO
3rd Author's Affiliation NTT Communication Science Laboratories, NTT Corporation
4th Author's Name Yukihiko YAMASHITA
4th Author's Affiliation Graduate School of Science and Engineering, Tokyo Institute of Technology
Date 2013-03-14
Paper # PRMU2012-185
Volume (vol) vol.112
Number (no) 495
Page pp.pp.-
#Pages 6
Date of Issue