Presentation 2010-12-09
Revisiting CLAFIC and Well Balanced Perceptoron : Are we on the closed loop?
Hitoshi SAKANO, Seiji HOTTA,
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Abstract(in English) Recent half century, the pattern recognition technology developed very well. However sometimes we can find a rivivals of old ideas. In this article, we pooint out two examples. First example is called dead zone maximization (DZM) (or well balanced perceptron) that has the same structure of support vector machine. On the other hand, CLAFIC is regarded as a statistical classifier, but original paper derives it from information theoretic recognizer. We would like to discuss direction of our future from these examples.
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Paper # PRMU2010-137
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Committee PRMU
Conference Date 2010/12/2(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
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Title (in English) Revisiting CLAFIC and Well Balanced Perceptoron : Are we on the closed loop?
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1st Author's Name Hitoshi SAKANO
1st Author's Affiliation NTT Communication Science Lab.()
2nd Author's Name Seiji HOTTA
2nd Author's Affiliation The Graduate School of Engineering, Tokyo University of Agriculture and Technology
Date 2010-12-09
Paper # PRMU2010-137
Volume (vol) vol.110
Number (no) 330
Page pp.pp.-
#Pages 5
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