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Multi-classifier ensemble based on dynamic weights
https://tokushima-u.repo.nii.ac.jp/records/2008533
https://tokushima-u.repo.nii.ac.jp/records/20085333be84a3e-a169-431a-bde3-94f8126c01d4
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
mta_77_16_21083.pdf (2.03 MB)
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| Item type | 文献 / Documents(1) | |||||||||||||||
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| 公開日 | 2021-04-15 | |||||||||||||||
| アクセス権 | ||||||||||||||||
| アクセス権 | open access | |||||||||||||||
| 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 | |||||||||||||||
| 出版社版DOI | ||||||||||||||||
| 識別子タイプ | DOI | |||||||||||||||
| 関連識別子 | https://doi.org/10.1007/s11042-017-5480-5 | |||||||||||||||
| 言語 | ja | |||||||||||||||
| 関連名称 | 10.1007/s11042-017-5480-5 | |||||||||||||||
| 出版タイプ | ||||||||||||||||
| 出版タイプ | VoR | |||||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||||
| タイトル | ||||||||||||||||
| タイトル | Multi-classifier ensemble based on dynamic weights | |||||||||||||||
| 言語 | en | |||||||||||||||
| 著者 |
任, 福継
× 任, 福継
WEKO
401
× Li, Yanqiu
× Hu, Min
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| 抄録 | ||||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||||
| 内容記述 | In this study, a novel multi-classifier ensemble method based on dynamic weights is proposed to reduce the interference of unreliable decision information and improve the accuracy of fusion decision. The algorithm defines decision credibility to describe the real-time importance of the classifier to the current target, combines this credibility with the reliability calculated by the classifier on the training data set and dynamically assigns the fusion weight to the classifier. Compared with other methods, the contribution of different classifiers to fusion decision in acquiring weights is fully evaluated in consideration of the capability of the classifier to not only identify different sample regions but also output decision information when identifying specific targets. Experimental results on public face databases show that the proposed method can obtain higher classification accuracy than that of single classifier and some popular fusion algorithms. The feasibility and effectiveness of the proposed method are verified. | |||||||||||||||
| 言語 | en | |||||||||||||||
| キーワード | ||||||||||||||||
| 言語 | en | |||||||||||||||
| 主題Scheme | Other | |||||||||||||||
| 主題 | Dynamic weights | |||||||||||||||
| キーワード | ||||||||||||||||
| 言語 | en | |||||||||||||||
| 主題Scheme | Other | |||||||||||||||
| 主題 | Multi-classifier ensemble | |||||||||||||||
| キーワード | ||||||||||||||||
| 言語 | en | |||||||||||||||
| 主題Scheme | Other | |||||||||||||||
| 主題 | Reliability | |||||||||||||||
| キーワード | ||||||||||||||||
| 言語 | en | |||||||||||||||
| 主題Scheme | Other | |||||||||||||||
| 主題 | Decision credibility | |||||||||||||||
| キーワード | ||||||||||||||||
| 言語 | en | |||||||||||||||
| 主題Scheme | Other | |||||||||||||||
| 主題 | Face recognition | |||||||||||||||
| 書誌情報 |
en : Multimedia Tools and Applications 巻 77, 号 16, p. 21083-21107, 発行日 2017-12-30 |
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| 収録物ID | ||||||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||||||
| 収録物識別子 | 13807501 | |||||||||||||||
| 収録物ID | ||||||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||||||
| 収録物識別子 | 15737721 | |||||||||||||||
| 収録物ID | ||||||||||||||||
| 収録物識別子タイプ | NCID | |||||||||||||||
| 収録物識別子 | AA11043871 | |||||||||||||||
| 出版者 | ||||||||||||||||
| 出版者 | Springer Nature | |||||||||||||||
| 言語 | en | |||||||||||||||
| 権利情報 | ||||||||||||||||
| 言語 | en | |||||||||||||||
| 権利情報 | This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. | |||||||||||||||
| EID | ||||||||||||||||
| 識別子 | 335647 | |||||||||||||||
| 識別子タイプ | URI | |||||||||||||||
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| 言語 | eng | |||||||||||||||
