| Paper Abstract and Keywords |
| Presentation |
2009-02-20 14:30
Visualization of Steepest Descent Method of LVQ Yoshiaki Kurosawa (Toshiba Solution) PRMU2008-237 |
| 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. On the other hand, the phenomenon of slow learning or collapse when the learning strength is set to be igher is well known in the field of steepest descent method, for example the field of neural networks. This phenomenon is also observed in the learning process of LVQ. The method to avoid this is applicable to LVQ as same as the field of steepest descent. This report describes the method to observe the learning process of LVQ and shows the actual observation result as the basic research before considering the method to avoid above mentioned slow leaning or collapse. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
LVQ / probabilistic descent / steepest descent / learning / OCR / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 108, no. 432, PRMU2008-237, pp. 175-180, Feb. 2009. |
| Paper # |
PRMU2008-237 |
| Date of Issue |
2009-02-12 (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 |
PRMU2008-237 |
| Conference Information |
| Committee |
PRMU |
| Conference Date |
2009-02-19 - 2009-02-20 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Univ. of Tokyo (IIS) |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
PRMU |
| Conference Code |
2009-02-PRMU |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Visualization of Steepest Descent Method of LVQ |
| Sub Title (in English) |
|
| Keyword(1) |
LVQ |
| Keyword(2) |
probabilistic descent |
| Keyword(3) |
steepest descent |
| Keyword(4) |
learning |
| Keyword(5) |
OCR |
| Keyword(6) |
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| Keyword(7) |
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| 1st Author's Name |
Yoshiaki Kurosawa |
| 1st Author's Affiliation |
Toshiba Solution (Toshiba Solution) |
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| Speaker |
Author-1 |
| Date Time |
2009-02-20 14:30:00 |
| Presentation Time |
30 minutes |
| Registration for |
PRMU |
| Paper # |
PRMU2008-237 |
| Volume (vol) |
vol.108 |
| Number (no) |
no.432 |
| Page |
pp.175-180 |
| #Pages |
6 |
| Date of Issue |
2009-02-12 (PRMU) |