Art

J-GLOBAL ID：201802277003851821   Reference number：18A1513311

Feature Selection for Composer Classification Method using Quantity of Information

情報量を用いた合成器分類法の特徴選択【JST・京大機械翻訳】

Author (4)： Takamoto Ayaka (Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan) ,  Yoshida Mitsuo (Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan) ,  Umemura Kyoji (Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan) ,  Ichikawa Yuko (General Education Department, National Institute of Technology, Tokyo College, Hachioji, Tokyo, Japan)
Material： IEEE Conference Proceedings  (IEEE Conf Proc)
Volume： 2018  Issue： KST  Page： 30-33  Publication year： 2018 
JST Material Number： W2441A  Document type： Proceedings
Article type： 原著論文  Country of issue： United States (USA)  Language： ENGLISH (EN)

Abstract/Point： This paper presents a method t...

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Thesaurus term： feature selection ,  information content ,  *Music ,  likelihood
Semi thesaurus term： フレーズ ,  句 ,  分類法 , 【Automatic Indexing@JST】

JST classification (5)： Code theory  (ND02030R) ,  Graphic and image processing in general  (JE04010I) ,  Special-purpose arithmetic and control units  (JC04030Y) ,  Pattern recognition  (JE07000S) ,  Speach processing  (JE05000E)

Terms in the title (4)： 情報量 ,  合成器 ,  分類法 ,  特徴選択