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| Presentation | 2010-12-10 15:20 Comparison between Minimum Classification Error Training and Support Vector Machine in Prototype-based Classifier Design Mamoru Adachi (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.)  PRMU2010-146 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we experimentally compared the size of trained classifier class models (prototypes) between Support Vector Machine (SVM) and a newly proposed discriminative training method called Large Geometric Margin Minimum Classification Error (LGM-MCE) training. We first clarify that SVM often requires a large number of prototypes (i.e., support vectors), which result in a scalability problem. Next we show the insufficiency of SVM when the number of support vectors is limited and clearly demonstrate that LGM-MCE is much more useful for realizing a small-size but highly-discriminative classifier than SVM. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Minimum classification error training / Support Vector Machine / Prototype-based classifier / K-means clustering / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 110, no. 330, PRMU2010-146, pp. 107-112, Dec. 2010. | |
| Paper # | PRMU2010-146 | |
| Date of Issue | 2010-12-02 (PRMU) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | PRMU2010-146 |
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| Conference Information | |
| Committee | PRMU FM |
| Conference Date | 2010-12-09 - 2010-12-10 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2010-12-PRMU |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Comparison between Minimum Classification Error Training and Support Vector Machine in Prototype-based Classifier Design |
| Sub Title (in English) | |
| Keyword(1) | Minimum classification error training |
| Keyword(2) | Support Vector Machine |
| Keyword(3) | Prototype-based classifier |
| Keyword(4) | K-means clustering |
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| 1st Author's Name | Mamoru Adachi |
| 1st Author's Affiliation | Graduate School, Doshisha University (Doshisha Univ.) |
| 2nd Author's Name | Hideyuki Watanabe |
| 2nd Author's Affiliation | National Institute of Information and Communications Technology (NICT) |
| 3rd Author's Name | Shigeru Katagiri |
| 3rd Author's Affiliation | Graduate School, Doshisha University (Doshisha Univ.) |
| 4th Author's Name | Miho Ohsaki |
| 4th Author's Affiliation | Graduate School, Doshisha University (Doshisha Univ.) |
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| Speaker | Author-1 |
| Date Time | 2010-12-10 15:20:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2010-146 |
| Volume (vol) | vol.110 |
| Number (no) | no.330 |
| Page | pp.107-112 |
| #Pages | 6 |
| Date of Issue | 2010-12-02 (PRMU) |
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