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Paper Abstract and Keywords
Presentation 2013-03-14 09:00
Validation of Dimension Reduction Methods for Two-Dimensional Image Pattern Classification
Hayato Itoh, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) PRMU2012-183
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we experimentally evaluate the validity of
topology-preserving dimension-reduction methods for image pattern recognition.
Image pattern recognition uses pattern recognition techniques for the classification of image data.
For the numerical achievement of image pattern recognition techniques, images are sampled using an array of pixels.
This sampling procedure derives vectors in a
higher-dimensional metric space from image patterns.
For the accurate achievement of pattern recognition techniques, the dimension reduction of data vectors is an essential methodology,
since the time and space complexities of data processing depend on the dimension of data.
However, the dimension reduction causes information loss of geometrical and topological features of image patterns.
The desired dimension-reduction method selects an appropriate low-dimensional subspace that preserves
the topological information of the classification space.
Keyword (in Japanese) (See Japanese page) 
(in English) dimension reduction / principle component analysis / discrete cosine transform / random projection / topological structure / discriminant space / image pattern recognition /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 495, PRMU2012-183, pp. 19-24, March 2013.
Paper # PRMU2012-183 
Date of Issue 2013-03-07 (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 PRMU2012-183

Conference Information
Committee PRMU  
Conference Date 2013-03-14 - 2013-03-15 
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 2013-03-PRMU 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Validation of Dimension Reduction Methods for Two-Dimensional Image Pattern Classification 
Sub Title (in English)  
Keyword(1) dimension reduction  
Keyword(2) principle component analysis  
Keyword(3) discrete cosine transform  
Keyword(4) random projection  
Keyword(5) topological structure  
Keyword(6) discriminant space  
Keyword(7) image pattern recognition  
Keyword(8)  
1st Author's Name Hayato Itoh  
1st Author's Affiliation Chiba University (Chiba Univ.)
2nd Author's Name Atsushi Imiya  
2nd Author's Affiliation Chiba University (Chiba Univ.)
3rd Author's Name Tomoya Sakai  
3rd Author's Affiliation Nagasaki University (Nagasaki Univ.)
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Speaker Author-1 
Date Time 2013-03-14 09:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2012-183 
Volume (vol) vol.112 
Number (no) no.495 
Page pp.19-24 
#Pages 6 
Date of Issue 2013-03-07 (PRMU) 

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