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Paper Abstract and Keywords
Presentation 2011-09-06 15:50
Canonical Dependency Analysis based on Squared-loss Mutual Information
Masayuki Karasuyama, Masashi Sugiyama (Tokyo Inst. of Tech.) PRMU2011-79 IBISML2011-38
Abstract (in Japanese) (See Japanese page) 
(in English) Canonical correlation analysis (CCA) is a classical technique to iteratively find projection directions for two sets of variables such that their correlation is maximized. In this paper, we propose an extension of CCA based on a squared-loss variant of mutual information. The proposed method, which we call least-squares canonical dependency analysis (LSCDA), has various useful properties, for example, it can capture higher-order correlations, it can simultaneously find multiple projection directions (i.e., subspaces), it does not involve density estimation, and it is equipped with a model selection strategy. We illustrate the usefulness of LSCDA through experiments.
Keyword (in Japanese) (See Japanese page) 
(in English) Canonical Correlation Analysis / Squared-loss Mutual Information / Direct Density-ratio Estimation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 194, IBISML2011-38, pp. 173-180, Sept. 2011.
Paper # IBISML2011-38 
Date of Issue 2011-08-29 (PRMU, IBISML) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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 IBISML IPSJ-CVIM  
Conference Date 2011-09-05 - 2011-09-06 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To IBISML 
Conference Code 2011-09-PRMU-IBISML-CVIM 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Canonical Dependency Analysis based on Squared-loss Mutual Information 
Sub Title (in English)  
Keyword(1) Canonical Correlation Analysis  
Keyword(2) Squared-loss Mutual Information  
Keyword(3) Direct Density-ratio Estimation  
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1st Author's Name Masayuki Karasuyama  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
2nd Author's Name Masashi Sugiyama  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
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Speaker
Date Time 2011-09-06 15:50:00 
Presentation Time 30 
Registration for IBISML 
Paper # IEICE-PRMU2011-79,IEICE-IBISML2011-38 
Volume (vol) IEICE-111 
Number (no) no.193(PRMU), no.194(IBISML) 
Page pp.173-180 
#Pages IEICE-8 
Date of Issue IEICE-PRMU-2011-08-29,IEICE-IBISML-2011-08-29 


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