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J-GLOBAL ID：202002231928566399   Reference number：20A0060669

Gaussian Mixture Reduction Methods Using Support Vector Machine

サポートベクトルマシンを用いたGauss混合低減法【JST・京大機械翻訳】
Author (2)：
Kazama Haruki

About Kazama Haruki

(NEC Corp.)

About NEC Corp.

, 
Tsukiyama Shuji

About Tsukiyama Shuji

(Chuo University,Department of Electrical, Electronic, and Communication Engineering,1-13-27 Kasuga, Bunkyo, Tokyo,112-8551)

About Chuo University,Department of Electrical, Electronic, and Communication Engineering,1-13-27 Kasuga, Bunkyo, Tokyo,112-8551


Material：
IEEE Conference Proceedings  (IEEE Conf Proc)

About IEEE Conference Proceedings


Volume： 2019  Issue： TENCON  Page： 411-416  Publication year： 2019 
JST Material Number： W2441A  Document type： Proceedings
Article type： 原著論文  Country of issue： United States (USA)  Language： ENGLISH (EN)
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CPU time

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, 
exponential function

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, 
*support vector machine

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, 
statistical method

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, 
nonlinear function

About nonlinear function


Semi thesaurus term：
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
Gauss混合モデル

About Gauss混合モデル

, 【Automatic Indexing@JST】
JST classification (2)：
JST classification
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Graphic and image processing in general 
(JE04010I)

About Graphic and image processing in general

,  Pattern recognition 
(JE07000S)

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サポートベクトルマシン

About サポートベクトルマシン


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