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Improving the Generalization of Fisherface by Training Class Selection Using SOM2
http://hdl.handle.net/10228/387
http://hdl.handle.net/10228/38784086fd9-a2f2-4689-be89-420395029e34
名前 / ファイル | ライセンス | アクション |
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Improving_the_Generalization_of_Fisherface.pdf (175.5 kB)
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Item type | 学術雑誌論文 = Journal Article(1) | |||||||||||
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公開日 | 2007-11-22 | |||||||||||
資源タイプ | ||||||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||
資源タイプ | journal article | |||||||||||
タイトル | ||||||||||||
タイトル | Improving the Generalization of Fisherface by Training Class Selection Using SOM2 | |||||||||||
言語 | ||||||||||||
言語 | eng | |||||||||||
著者 |
Jiang, Jiayan
× Jiang, Jiayan× Zhang, Liming× 古川, 徹生
WEKO
661
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抄録 | ||||||||||||
内容記述タイプ | Abstract | |||||||||||
内容記述 | Fisherface is a popular subspace algorithm used in face recognition,and it is commonly believed superior to another technique, Eigenface, due to itsattempt to maximize the separability of training classes. However, the deriveddiscriminant subspace of the training set may not easily extend to unseenclasses, as in the case of enrollment of new subjects. In this paper, we selectsome “representative” classes for Fisherface training using a recently proposedneural network architecture SOM2. The experiment on ORL face databaseshows the proposed method can effectively reduce the performance varianceand improve the generalization of Fisherface. | |||||||||||
書誌情報 |
Lecture Notes in Computer Science 巻 4233, p. 278-285, 発行日 2006 |
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出版社 | ||||||||||||
出版者 | Springer Berlin / Heidelberg | |||||||||||
DOI | ||||||||||||
関連タイプ | isVersionOf | |||||||||||
識別子タイプ | DOI | |||||||||||
関連識別子 | https://doi.org/10.1007/11893257_31 | |||||||||||
ISSN | ||||||||||||
収録物識別子タイプ | ISSN | |||||||||||
収録物識別子 | 0302-9743 | |||||||||||
ISSN | ||||||||||||
収録物識別子タイプ | ISSN | |||||||||||
収録物識別子 | 1611-3349 | |||||||||||
著作権関連情報 | ||||||||||||
権利情報 | Copyright (c) Springer-Verlag Berlin Heidelberg 2006. The original publication is available at www.springerlink.com | |||||||||||
出版タイプ | ||||||||||||
出版タイプ | AM | |||||||||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||||
査読の有無 | ||||||||||||
値 | yes | |||||||||||
資料タイプ | ||||||||||||
内容記述タイプ | Other | |||||||||||
内容記述 | Journal Article | |||||||||||
著者別名 | ||||||||||||
姓名 | Furukawa, Tetsuo | |||||||||||
言語 | en | |||||||||||
姓名 | 古川, 徹生 | |||||||||||
言語 | ja | |||||||||||
姓名 | フルカワ, テツオ | |||||||||||
言語 | ja-Kana | |||||||||||
著者所属 | ||||||||||||
E.E. Dept. Fudan University, 220 Handan Road, Shanghai, China | ||||||||||||
著者所属 | ||||||||||||
E.E. Dept. Fudan University, 220 Handan Road, Shanghai, China | ||||||||||||
著者所属 | ||||||||||||
Kyushu Institute of Technology, Kitakyushu 808-0196, Japan |