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Paper Abstract and Keywords
Presentation 2015-09-15 10:45
Improvement of nonnegative matrix factorization for probabilistic latent semantic analysis
Toshio Uchiyama (HIU) PRMU2015-83 IBISML2015-43
Abstract (in Japanese) (See Japanese page) 
(in English) Nonnegative Matrix Factorization (NMF) is equivalent to PLSA
(Probabilistic Latent Semantic Analysis), when it uses generarized KL
divergence as target function. This paper proposes a novel method for
initializing base matrix using smoothing to improve
algorithms for NMF and PLSA. It also shows that perplexity of training
data and test data are correlated.
Keyword (in Japanese) (See Japanese page) 
(in English) NMF(Nonnegative Matrix Factorization) / competitive learning / clustering / topic model / PLSA / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 225, IBISML2015-43, pp. 117-122, Sept. 2015.
Paper # IBISML2015-43 
Date of Issue 2015-09-07 (PRMU, IBISML) 
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF PRMU2015-83 IBISML2015-43

Conference Information
Committee PRMU IBISML IPSJ-CVIM  
Conference Date 2015-09-14 - 2015-09-15 
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 2015-09-PRMU-IBISML-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of nonnegative matrix factorization for probabilistic latent semantic analysis 
Sub Title (in English)  
Keyword(1) NMF(Nonnegative Matrix Factorization)  
Keyword(2) competitive learning  
Keyword(3) clustering  
Keyword(4) topic model  
Keyword(5) PLSA  
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1st Author's Name Toshio Uchiyama  
1st Author's Affiliation Hokkaido Information University (HIU)
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Speaker
Date Time 2015-09-15 10:45:00 
Presentation Time 30 
Registration for IBISML 
Paper # IEICE-PRMU2015-83,IEICE-IBISML2015-43 
Volume (vol) IEICE-115 
Number (no) no.224(PRMU), no.225(IBISML) 
Page pp.117-122 
#Pages IEICE-6 
Date of Issue IEICE-PRMU-2015-09-07,IEICE-IBISML-2015-09-07 


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