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Robust feature extractions from geometric data using geometric algebra
http://hdl.handle.net/2237/13896
http://hdl.handle.net/2237/1389696d3b9a3-5e1a-45b1-a754-afaaf9055dab
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
Robust_feature_extractions.pdf (690.7 kB)
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| アイテムタイプ | 学術雑誌論文 / Journal Article(1) | |||||
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| 公開日 | 2010-07-30 | |||||
| タイトル | ||||||
| タイトル | Robust feature extractions from geometric data using geometric algebra | |||||
| 言語 | en | |||||
| 著者 |
Minh, Tuan Pham
× Minh, Tuan Pham× Yoshikawa, Tomohiro× Furuhashi, Takeshi× Tachibana, Kaita |
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| アクセス権 | ||||||
| アクセス権 | open access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
| 権利 | ||||||
| 権利情報 | ©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | |||||
| 言語 | en | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Feature extraction | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Gaussian mixture model | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Geometric Algebra | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Pattern recognition | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Most conventional methods of feature extraction for pattern recognition do not pay sufficient attention to inherent geometric properties of data, even in the case where the data have spatial features. This paper introduces geometric algebra to extract invariant geometric features from spatial data given in a vector space. Geometric algebra is a multidimensional generalization of complex numbers and of quaternions, and it ables to accurately describe oriented spatial objects and relations between them. This paper proposes to combine several geometric features using Gaussian mixture models. It applies the proposed method to the classification of hand-written digits. | |||||
| 言語 | en | |||||
| 出版者 | ||||||
| 出版者 | IEEE | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプresource | http://purl.org/coar/resource_type/c_6501 | |||||
| タイプ | journal article | |||||
| 出版タイプ | ||||||
| 出版タイプ | AM | |||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
| DOI | ||||||
| 関連タイプ | isVersionOf | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.1109/ICSMC.2009.5346869 | |||||
| ISSN | ||||||
| 収録物識別子タイプ | PISSN | |||||
| 収録物識別子 | 1062-922X | |||||
| 書誌情報 |
en : IEEE International Conference on Systems, Man and Cybernetics (SMC 2009) p. 529-533, 発行日 2009-10-11 |
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| フォーマット | ||||||
| 値 | application/pdf | |||||
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| 値 | author | |||||
| URI | ||||||
| 識別子 | http://hdl.handle.net/2237/13896 | |||||
| 識別子タイプ | HDL | |||||
| URI | ||||||
| 識別子 | http://dx.doi.org/10.1109/ICSMC.2009.5346869 | |||||
| 識別子タイプ | DOI | |||||
