Better Decision Boundary for Pattern Recognition with Supplementary Information(Pattem Recognition)
スポンサーリンク
概要
- 論文の詳細を見る
Pattern recognition with supplementary information which differs from the conventional pattern recognition has been proposed. This framework decreases misrecognition rates by using not only a pattern itself but also supplementary information that assists recognition. In the framework, a classifier suitable for the conventional pattern recognition has simply been used. Thus, there is room for improvement in the classifier. In this research, in order to improve the recognition performance with supplementary information, we attempt to change the recognition results of the classifier by the shift of decision boundary from the Bayesian one. Though this reduces recognition rates in the conventional pattern recognition, this increases those in the pattern recognition with supplementary information. We have confirmed this by recognition experiments.
- 社団法人電子情報通信学会の論文
- 2006-11-17
著者
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Omachi Shinichiro
Graduate School Of Engineering Tohoku University
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KISE Koichi
Department of Computer Science and Intelligent Systems, Osaka Prefecture University
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IWAMURA Masakazu
Department of Computer Science and Intelligent Systems, Osaka Prefecture University
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Kise Koichi
Department Of Computer Science And Intelligent Systems Osaka Prefecture University
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Kise Koichi
Graduate School Of Engineering Osaka Prefecture University
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Iwamura Masakazu
Graduate School Of Engineering Osaka Prefecture University
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Iwamura Masakazu
Department Of Computer Science And Intelligent Systems Osaka Prefecture University
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Uchida Seiichi
Faculty Of Information Science And Electrical Engineering Kyushu University
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Furuya Yoshio
Graduate School Of Engineering Osaka Prefecture University
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