Presentation 2006-10-20
Effect of Shifting Decision Boundaries in Pattern Recognition with Supplementary Information : Experimental Research Using Artificial Samples From Normal Distributions
Yoshio FURUYA, Masakazu IWAMURA, Koichi KISE, Shinichiro OMACHI, Seiichi UCHIDA,
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Abstract(in English) Pattern recognition with supplementary information which differs from the conventional pattern recognition has been proposed. This framework is capable of decreasing error rates by using not only a pattern itself but also its supplementary information that assists recognition. In the previous report, we confirmed a better recognition rate is achievable by the shift of the decision boundaries from the Bayesian ones in the experiment using a character data set. However, it was not the strict proof of the existence of the achievability because the Bayesian decision boundaries are estimates. In this report, to confirm the achievability in the strict sense, we make use of the artificial samples following the normal distributions. This enables us to obtain the Bayesian decision boundaries precisely.
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Keyword(in English) supplementary information / confusion matrix / Bayesian decision boundary / Mahalanobis distace
Paper # PRMU2006-113
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Conference Information
Committee PRMU
Conference Date 2006/10/13(1days)
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Paper Information
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) Effect of Shifting Decision Boundaries in Pattern Recognition with Supplementary Information : Experimental Research Using Artificial Samples From Normal Distributions
Sub Title (in English)
Keyword(1) supplementary information
Keyword(2) confusion matrix
Keyword(3) Bayesian decision boundary
Keyword(4) Mahalanobis distace
1st Author's Name Yoshio FURUYA
1st Author's Affiliation Graduate School of Engineering, Osaka Prefecture University()
2nd Author's Name Masakazu IWAMURA
2nd Author's Affiliation Graduate School of Engineering, Osaka Prefecture University
3rd Author's Name Koichi KISE
3rd Author's Affiliation Graduate School of Engineering, Osaka Prefecture University
4th Author's Name Shinichiro OMACHI
4th Author's Affiliation Graduate School of Engineering, Tohoku University
5th Author's Name Seiichi UCHIDA
5th Author's Affiliation Faculty of Information Science and Electrical Engineering, Kyushu University
Date 2006-10-20
Paper # PRMU2006-113
Volume (vol) vol.106
Number (no) 301
Page pp.pp.-
#Pages 6
Date of Issue