Multimodal Pattern Classifiers with Feedback of Class Memberships
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概要
- 論文の詳細を見る
Feedback of class memberships is incorporated into multimodal pattern classifiers and their unsupervised learning algorithm is presented. Classification decision at low levels is revised by the feedback information which also enables the reconstruction of patterns at low levels. The effects of the feedback are examined for the McGurk effect by using a simple model.
- 社団法人電子情報通信学会の論文
- 1999-03-25
著者
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Inoue Kohei
Faculty Of Design Kyushu University
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Inoue Kohei
Faculty Of Visual Communication Design Kyushu Institute Of Design
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Urahama Kiichi
Faculty Of Visual Communication Design Kyushu Institute Of Design
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Urahama Kiichi
Faculty Of Computer Science And Systems Engineering Kyushu Institute Of Technology
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