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Paper Abstract and Keywords
Presentation 2022-12-03 10:20
ICA with SCAD penalty via DC algorithm
Yusuke Endo, Koujin Takeda (Ibaraki Univ.) MBE2022-31 NC2022-53
Abstract (in Japanese) (See Japanese page) 
(in English) In this work, we propose an improved method of ICA(Independent Component Analysis), which is used for identifying latent components or factors in multi-dimensional data. In our method, we attempt to enhance the interpretability of results from ICA by imposing a sparse constraint for the factorized matrix and by DC algorithm to separate cost functions into two convex functions. In addition, we apply our method to synthetic data for validation of the utility, and discuss the results.
Keyword (in Japanese) (See Japanese page) 
(in English) Independent Component Analysis / sparse matrix factorization / Difference of Convex functions Algorithm / non-convex optimization / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 292, NC2022-53, pp. 38-42, Dec. 2022.
Paper # NC2022-53 
Date of Issue 2022-11-26 (MBE, NC) 
ISSN Online edition: ISSN 2432-6380
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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 MBE2022-31 NC2022-53

Conference Information
Committee MBE NC  
Conference Date 2022-12-03 - 2022-12-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka Electro-Communication University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) NC, ME, etc. 
Paper Information
Registration To NC 
Conference Code 2022-12-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) ICA with SCAD penalty via DC algorithm 
Sub Title (in English)  
Keyword(1) Independent Component Analysis  
Keyword(2) sparse matrix factorization  
Keyword(3) Difference of Convex functions Algorithm  
Keyword(4) non-convex optimization  
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1st Author's Name Yusuke Endo  
1st Author's Affiliation Ibaraki University (Ibaraki Univ.)
2nd Author's Name Koujin Takeda  
2nd Author's Affiliation Ibaraki University (Ibaraki Univ.)
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Speaker Author-1 
Date Time 2022-12-03 10:20:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # MBE2022-31, NC2022-53 
Volume (vol) vol.122 
Number (no) no.291(MBE), no.292(NC) 
Page pp.38-42 
#Pages
Date of Issue 2022-11-26 (MBE, NC) 


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