| Paper Abstract and Keywords |
| Presentation |
2011-03-10 15:30
Learning Process Visualization of LVQ for Observation at Place where Error Rate Steeply Changes Yoshiaki Kurosawa (Toshiba Solutions) PRMU2010-253 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
LVQ is the method well known in the field of character recognition and speech recognition. This can be described by the concept of probabilistic descent method and it becomes one of steepest descent method applications. By this concept, the movement of the recognition parameter which is the set of reference vectors of LVQ is observable during learning. This observation technique was applied to the case of steep error rate decrease that happened to be found in a handwritten numerical character recognition experiment. As a result, streams were found in the terrain of evaluation function defined in the probabilistic descent method, and the learning process were trapped by this stream in a long interval. After passing the exit of this stream, it was found that the learning process moved down on a steep and wide slope. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
LVQ / probabilistic descent / steepest descent / learning / OCR / visualization / / |
| Reference Info. |
IEICE Tech. Rep., vol. 110, no. 467, PRMU2010-253, pp. 93-98, March 2011. |
| Paper # |
PRMU2010-253 |
| Date of Issue |
2011-03-03 (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 |
PRMU2010-253 |
| Conference Information |
| Committee |
PRMU |
| Conference Date |
2011-03-10 - 2011-03-11 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
|
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
PRMU |
| Conference Code |
2011-03-PRMU |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Learning Process Visualization of LVQ for Observation at Place where Error Rate Steeply Changes |
| Sub Title (in English) |
|
| Keyword(1) |
LVQ |
| Keyword(2) |
probabilistic descent |
| Keyword(3) |
steepest descent |
| Keyword(4) |
learning |
| Keyword(5) |
OCR |
| Keyword(6) |
visualization |
| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Yoshiaki Kurosawa |
| 1st Author's Affiliation |
Toshiba Solutions (Toshiba Solutions) |
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| Speaker |
Author-1 |
| Date Time |
2011-03-10 15:30:00 |
| Presentation Time |
30 minutes |
| Registration for |
PRMU |
| Paper # |
PRMU2010-253 |
| Volume (vol) |
vol.110 |
| Number (no) |
no.467 |
| Page |
pp.93-98 |
| #Pages |
6 |
| Date of Issue |
2011-03-03 (PRMU) |