| Paper Abstract and Keywords |
| Presentation |
2020-03-17 17:05
Experimental Evaluation on Bayes Error Estimation Capability of Kernel Minimum Classification Error Training Koji Yamada (Doshisha Univ.), Hideyuki Watanabe (ATR), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.) PRMU2019-100 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
A pattern classifier incorporating kernel mapping, which is trained by the Kernel Minimum Classification Error (KMCE) training method, is shown to achieve the almost same high classification accuracy as an alternative kernel-mapping-based classifier, Support Vector Machine (SVM). However, previous evaluations for these classifiers were simply conducted in the Hold-Out scheme, and their results are not necessarily sufficient from the viewpoint of Bayes error estimation. In the paper, we compare them using four real-life datasets in the Cross-Validation scheme, and show that the KMCE-training-based classifier can accurately estimate the Bayes error with a much smaller classifier size than that of SVM. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Kernel Minimum Classification Error training / Kernel mapping / Support Vector Machine / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 119, no. 481, PRMU2019-100, pp. 237-242, March 2020. |
| Paper # |
PRMU2019-100 |
| Date of Issue |
2020-03-09 (PRMU) |
| ISSN |
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 |
PRMU2019-100 |
| Conference Information |
| Committee |
PRMU IPSJ-CVIM |
| Conference Date |
2020-03-16 - 2020-03-17 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
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| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
PRMU |
| Conference Code |
2020-03-PRMU-CVIM |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Experimental Evaluation on Bayes Error Estimation Capability of Kernel Minimum Classification Error Training |
| Sub Title (in English) |
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| Keyword(1) |
Kernel Minimum Classification Error training |
| Keyword(2) |
Kernel mapping |
| Keyword(3) |
Support Vector Machine |
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| 1st Author's Name |
Koji Yamada |
| 1st Author's Affiliation |
Doshisha University (Doshisha Univ.) |
| 2nd Author's Name |
Hideyuki Watanabe |
| 2nd Author's Affiliation |
Advanced Telecommunications Research Institute International (ATR) |
| 3rd Author's Name |
Shigeru Katagiri |
| 3rd Author's Affiliation |
Doshisha University (Doshisha Univ.) |
| 4th Author's Name |
Miho Ohsaki |
| 4th Author's Affiliation |
Doshisha University (Doshisha Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2020-03-17 17:05:00 |
| Presentation Time |
15 minutes |
| Registration for |
PRMU |
| Paper # |
PRMU2019-100 |
| Volume (vol) |
vol.119 |
| Number (no) |
no.481 |
| Page |
pp.237-242 |
| #Pages |
6 |
| Date of Issue |
2020-03-09 (PRMU) |