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Rough winner-take-all for hardware oriented vector quantization algorithm
http://hdl.handle.net/10228/0002001360
http://hdl.handle.net/10228/00020013600d4bfd16-5d82-4f8f-84e4-059ab3b2ac22
| 名前 / ファイル | ライセンス | アクション |
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| アイテムタイプ | 共通アイテムタイプ(1) | |||||||||||||||
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| 公開日 | 2025-02-19 | |||||||||||||||
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| タイトル | Rough winner-take-all for hardware oriented vector quantization algorithm | |||||||||||||||
| 言語 | en | |||||||||||||||
| 著者 |
田向, 権
× 田向, 権
WEKO
6059
× 堀尾, 恵一
WEKO
6199
× 山川, 烈× Sekine, Masatoshi
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| 著作権関連情報 | ||||||||||||||||
| 権利情報 | Copyright (c) IEICE 2011 | |||||||||||||||
| 抄録 | ||||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||||
| 内容記述 | In this paper, we propose a hardware oriented vector quantization algorithm employing rough-winner-take-all neural network. The proposed algorithm is almost same as K-means clustering which is the simplest vector quantization. The only different point is that the proposed method employs rough-winner-take-all as the substitute of ordinary winner-take-all. In a rough-winner-take-all strategy, the winner is roughly selected in the early learning stage and is strictly assigned in the later stage. The simulation results show that the quantization performance of the proposed method is nearly equal to Neural Gas which is an excellent vector quantization. Besides, the proposed method can be realized as an extra mode of existing K-means or Self-Organizing Map hardware by changing its winner-take-all controlling. | |||||||||||||||
| 言語 | en | |||||||||||||||
| 書誌情報 |
en : IEICE Electronics Express 巻 8, 号 11, p. 773-779, 発行日 2011-06-20 |
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| 出版者 | 電子情報通信学会 | |||||||||||||||
| 言語 | ja | |||||||||||||||
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| 言語 | eng | |||||||||||||||
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| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||||
| 資源タイプ | journal article | |||||||||||||||
| 出版タイプ | ||||||||||||||||
| 出版タイプ | VoR | |||||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||||
| DOI | ||||||||||||||||
| 識別子タイプ | DOI | |||||||||||||||
| 関連識別子 | https://doi.org/10.1587/elex.8.773 | |||||||||||||||
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| 識別子タイプ | URI | |||||||||||||||
| 関連識別子 | https://cir.nii.ac.jp/crid/1390282680188681600 | |||||||||||||||
| ISSN | ||||||||||||||||
| 収録物識別子タイプ | EISSN | |||||||||||||||
| 収録物識別子 | 1349-2543 | |||||||||||||||
| 研究者情報 | ||||||||||||||||
| URL | https://hyokadb02.jimu.kyutech.ac.jp/html/100000641_ja.html | |||||||||||||||
| 論文ID(連携) | ||||||||||||||||
| 値 | 10444505 | |||||||||||||||
| 連携ID | ||||||||||||||||
| 値 | 12770 | |||||||||||||||