Paper Abstract and Keywords |
Presentation |
2014-02-13 11:00
Face recognition using Support vector machine Shintaro Obayashi, Shota Funaki, Yuki Tsukagoshi, Takuya Kitamura (TNCT) PRMU2013-126 CNR2013-34 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we demonstrate the effectiveness of support vector machines (SVMs) for the facial recognition system.we use least squares SVMs (LS-SVMs), sparse LS-SVM (SLS-SVM), fast SLS-SVM (FSLS-SVM) as the types of SVMs. These can train faster than the standard SVMs. So, the face recognition system using these types of SVMs, performs faster than that using the standard SVMs. In computer experiments, we compare the performance of this systems with that using subspace methods which are widely-used for the face recognition systems. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
face recognition / support vector machine / subspace method / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 431, PRMU2013-126, pp. 31-34, Feb. 2014. |
Paper # |
PRMU2013-126 |
Date of Issue |
2014-02-06 (PRMU, CNR) |
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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PRMU2013-126 CNR2013-34 |
Conference Information |
Committee |
PRMU CNR |
Conference Date |
2014-02-13 - 2014-02-14 |
Place (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2014-02-PRMU-CNR |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Face recognition using Support vector machine |
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Keyword(1) |
face recognition |
Keyword(2) |
support vector machine |
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subspace method |
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1st Author's Name |
Shintaro Obayashi |
1st Author's Affiliation |
Toyama National College of Technology (TNCT) |
2nd Author's Name |
Shota Funaki |
2nd Author's Affiliation |
Toyama National College of Technology (TNCT) |
3rd Author's Name |
Yuki Tsukagoshi |
3rd Author's Affiliation |
Toyama National College of Technology (TNCT) |
4th Author's Name |
Takuya Kitamura |
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Toyama National College of Technology (TNCT) |
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Speaker |
Author-1 |
Date Time |
2014-02-13 11:00:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
PRMU2013-126, CNR2013-34 |
Volume (vol) |
vol.113 |
Number (no) |
no.431(PRMU), no.432(CNR) |
Page |
pp.31-34 |
#Pages |
4 |
Date of Issue |
2014-02-06 (PRMU, CNR) |
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