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Paper Abstract and Keywords
Presentation 2009-02-20 09:30
Document Classification by Local Fisher Discriminant Analysis
Masashi Sugiyama (Tokyo Inst. of Tech.) PRMU2008-225
Abstract (in Japanese) (See Japanese page) 
(in English) Dimensionality reduction is one of the important preprocessing steps
in practical pattern recognition.
SEmi-supervised Local Fisher discriminant analysis (SELF)---which
is a semi-supervised and local extension of Fisher discriminant analysis---was
shown to work excellently in experiments.
However, when data dimensionality is very high,
a naive use of SELF is prohibited
due to high computational costs and large memory requirement.
In this paper, we introduce computational tricks
for making SELF applicable to large-scale problems.
Keyword (in Japanese) (See Japanese page) 
(in English) dimensionality reduction / semi-supervised learning / semi-supervised local Fisher discriminant analysis / sparsity / generalized eigenvalue problem / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 432, PRMU2008-225, pp. 103-108, Feb. 2009.
Paper # PRMU2008-225 
Date of Issue 2009-02-12 (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 PRMU2008-225

Conference Information
Committee PRMU  
Conference Date 2009-02-19 - 2009-02-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Univ. of Tokyo (IIS) 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2009-02-PRMU 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Document Classification by Local Fisher Discriminant Analysis 
Sub Title (in English)  
Keyword(1) dimensionality reduction  
Keyword(2) semi-supervised learning  
Keyword(3) semi-supervised local Fisher discriminant analysis  
Keyword(4) sparsity  
Keyword(5) generalized eigenvalue problem  
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Keyword(7)  
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1st Author's Name Masashi Sugiyama  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
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Speaker Author-1 
Date Time 2009-02-20 09:30:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2008-225 
Volume (vol) vol.108 
Number (no) no.432 
Page pp.103-108 
#Pages 6 
Date of Issue 2009-02-12 (PRMU) 

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