| Paper Abstract and Keywords |
| Presentation |
2007-11-19 14:15
Constructing error correcting output coding using latent variable models Nobuhiko Yamaguchi (Saga Univ.) NC2007-70 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
The object of this paper is to construct a multi-class classifier by Error-Correcting Output Coding (ECOC) approach. The algorithm of the ECOC approach is divided into three steps: 1) dividing K classes into two super groups, 2) constructing multiple binary classifiers which separate the two super groups, and 3) combining the multiple binary classifiers. The ECOC approach constructs a classifier by sequentially performing the three steps. However, since these three steps are mutually related to each other, it is desirable to simultaneously perform the three steps
with considering each other's steps. We therefore propose ECOC-LVM (ECOC using Latent Variable Models) which simultaneously performs the three steps. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Error-correcting output coding / Neural networks / Pattern classification / Latent variable models / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 107, no. 328, NC2007-70, pp. 89-93, Nov. 2007. |
| Paper # |
NC2007-70 |
| Date of Issue |
2007-11-11 (NC) |
| 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 |
NC2007-70 |
| Conference Information |
| Committee |
NC |
| Conference Date |
2007-11-18 - 2007-11-19 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Saga Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
neuro-hardware, and general |
| Paper Information |
| Registration To |
NC |
| Conference Code |
2007-11-NC |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Constructing error correcting output coding using latent variable models |
| Sub Title (in English) |
|
| Keyword(1) |
Error-correcting output coding |
| Keyword(2) |
Neural networks |
| Keyword(3) |
Pattern classification |
| Keyword(4) |
Latent variable models |
| Keyword(5) |
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| Keyword(6) |
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| Keyword(7) |
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| 1st Author's Name |
Nobuhiko Yamaguchi |
| 1st Author's Affiliation |
Saga University (Saga Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2007-11-19 14:15:00 |
| Presentation Time |
25 minutes |
| Registration for |
NC |
| Paper # |
NC2007-70 |
| Volume (vol) |
vol.107 |
| Number (no) |
no.328 |
| Page |
pp.89-93 |
| #Pages |
5 |
| Date of Issue |
2007-11-11 (NC) |