Paper Abstract and Keywords |
Presentation |
2015-11-01 14:30
The hierarchical visualizing and learning method in the generative topographic mapping Takehito Oshita (BCI), Mikio Hasegawa (Tokyo Univ. of Science) NLP2015-124 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Generative Topographic Mapping(GTM) is the latent variable model which is formalized Kohonen’s Self-Organization Map in the field of the probability theory. In this paper, We introduce the basic theory of GTM and the hierarchical visualization of MNIST(which is handwritten 10 numbers 0-9) dataset, and discuss the efficiency for the learning accuracy. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
GTM / Generative Model / Latent Variable / RBF Network / Visualization / Manifold Learning / SOM / Self Organization Mapping |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 284, NLP2015-124, pp. 99-103, Oct. 2015. |
Paper # |
NLP2015-124 |
Date of Issue |
2015-10-24 (NLP) |
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) |
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NLP2015-124 |
Conference Information |
Committee |
NLP |
Conference Date |
2015-10-31 - 2015-11-01 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Nobumoto Ohama Memorial Hall |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Nonlinear Problems, etc. |
Paper Information |
Registration To |
NLP |
Conference Code |
2015-10-NLP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
The hierarchical visualizing and learning method in the generative topographic mapping |
Sub Title (in English) |
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Keyword(1) |
GTM |
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Generative Model |
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Latent Variable |
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RBF Network |
Keyword(5) |
Visualization |
Keyword(6) |
Manifold Learning |
Keyword(7) |
SOM |
Keyword(8) |
Self Organization Mapping |
1st Author's Name |
Takehito Oshita |
1st Author's Affiliation |
Brains Consulting, Inc. (BCI) |
2nd Author's Name |
Mikio Hasegawa |
2nd Author's Affiliation |
Tokyo University of Science (Tokyo Univ. of Science) |
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Speaker |
Author-1 |
Date Time |
2015-11-01 14:30:00 |
Presentation Time |
25 minutes |
Registration for |
NLP |
Paper # |
NLP2015-124 |
Volume (vol) |
vol.115 |
Number (no) |
no.284 |
Page |
pp.99-103 |
#Pages |
5 |
Date of Issue |
2015-10-24 (NLP) |
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