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Paper Abstract and Keywords
Presentation 2013-02-22 09:30
Extended separable lattice HMMs based on state duration control for recognition of images with variations
Takaya Makino, Shinji Takaki, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2012-164
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, an extension of separable lattice HMMs is described that (SL-HMM) introduces state duration control for dealing with images with various variations. SL-HMM are generative models that have size and location invariances based on state transition of HMMs. An extended model that has the structure of hidden semi Markov models (HSMMs) in which the state duration probability is explicitly modeled by parametric distributions is also proposed. However, in this model, each state duration in a Markov chain is independent. It is supposed that each state duration should have a correlation. Therefore, this paper proposes a novel model that solves this problem by introducing variables representing the correlation among the state durations. Face recognition experiments show that the proposed model improved the recognition performance for images with size, locational and rotational variations.
Keyword (in Japanese) (See Japanese page) 
(in English) image recognition / Hidden Markov models / separable lattice 2-d HMMs / state duration control / variational EM algorithm / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 441, PRMU2012-164, pp. 149-154, Feb. 2013.
Paper # PRMU2012-164 
Date of Issue 2013-02-14 (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)
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Conference Information
Committee PRMU  
Conference Date 2013-02-21 - 2013-02-22 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2013-02-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Extended separable lattice HMMs based on state duration control for recognition of images with variations 
Sub Title (in English)  
Keyword(1) image recognition  
Keyword(2) Hidden Markov models  
Keyword(3) separable lattice 2-d HMMs  
Keyword(4) state duration control  
Keyword(5) variational EM algorithm  
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Keyword(7)  
Keyword(8)  
1st Author's Name Takaya Makino  
1st Author's Affiliation Nagoya Institute of technology (Nagoya Inst. of Tech.)
2nd Author's Name Shinji Takaki  
2nd Author's Affiliation Nagoya Institute of technology (Nagoya Inst. of Tech.)
3rd Author's Name Kei Hashimoto  
3rd Author's Affiliation Nagoya Institute of technology (Nagoya Inst. of Tech.)
4th Author's Name Yoshihiko Nankaku  
4th Author's Affiliation Nagoya Institute of technology (Nagoya Inst. of Tech.)
5th Author's Name Keiichi Tokuda  
5th Author's Affiliation Nagoya Institute of technology (Nagoya Inst. of Tech.)
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Speaker Author-1 
Date Time 2013-02-22 09:30:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2012-164 
Volume (vol) vol.112 
Number (no) no.441 
Page pp.149-154 
#Pages 6 
Date of Issue 2013-02-14 (PRMU) 

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