Paper Abstract and Keywords |
Presentation |
2014-11-18 15:00
[Poster Presentation]
Denoising High-dimensional Sequences with the Bidirectional Recurrent Restricted Boltzmann Machine Shoken Kaneko (Yamaha Co.) IBISML2014-62 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We propose a probabilistic neural network for modeling high-dimensional sequences with complex non-linearities.
Our model is an extension of the previously introduced Recurrent Neural Network-Restricted Boltzmann Machine.
We extend the model by adding a backward recurrent chain, which makes bidirectional propagation of information possible
and allowing our model to incorporate knowledge of future observations.
Our model can be readily applied for tasks such as denoising of high-dimensional sequences.
We show that our model outperforms the unidirectional model in the task of denoising moving pictures of balls bouncing in a box,
reconstructing much smoother sequences. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Machine Learning / Neural Networks / Recurrent Neural Network - Restricted Boltzmann Machines / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 114, no. 306, IBISML2014-62, pp. 207-212, Nov. 2014. |
Paper # |
IBISML2014-62 |
Date of Issue |
2014-11-10 (IBISML) |
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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IBISML2014-62 |
Conference Information |
Committee |
IBISML |
Conference Date |
2014-11-17 - 2014-11-19 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Nagoya Univ. |
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(See Japanese page) |
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Paper Information |
Registration To |
IBISML |
Conference Code |
2014-11-IBISML |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Denoising High-dimensional Sequences with the Bidirectional Recurrent Restricted Boltzmann Machine |
Sub Title (in English) |
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Keyword(1) |
Machine Learning |
Keyword(2) |
Neural Networks |
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Recurrent Neural Network - Restricted Boltzmann Machines |
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1st Author's Name |
Shoken Kaneko |
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Yamaha Corporation (Yamaha Co.) |
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Speaker |
Author-1 |
Date Time |
2014-11-18 15:00:00 |
Presentation Time |
180 minutes |
Registration for |
IBISML |
Paper # |
IBISML2014-62 |
Volume (vol) |
vol.114 |
Number (no) |
no.306 |
Page |
pp.207-212 |
#Pages |
6 |
Date of Issue |
2014-11-10 (IBISML) |