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Paper Abstract and Keywords
Presentation 2008-12-18 16:35
Robust Simultaneous Low Rank Approximation of Tensors
Kohei Inoue, Kenji Hara, Kiichi Urahama (Kyushu Univ.) PRMU2008-168
Abstract (in Japanese) (See Japanese page) 
(in English) We robustify simultaneous low rank approximation of tensors (SLRAT) for the dimensionality reduction of tensor data including outliers, and call it robust SLRAT.
It is experimentally shown that the robust SLRAT achieves lower reconstruction error than the conventional SLRAT when a dataset contains outliers.
We also propose a method for classifying sets of tensors and call it the subspace matching, where both training data and testing data are represented by their subspaces, and each testing datum is classified on the basis of the similarity between subspaces.
It is experimentally verified that the robust SLRAT achieves higher recognition rate than the conventional SLRAT when the testing data contain outliers.
Keyword (in Japanese) (See Japanese page) 
(in English) tensor / simultaneous low rank approximation / robustification / face recognition / / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 363, PRMU2008-168, pp. 123-128, Dec. 2008.
Paper # PRMU2008-168 
Date of Issue 2008-12-11 (PRMU) 
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  
Conference Date 2008-12-18 - 2008-12-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Kumamoto Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2008-12-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Robust Simultaneous Low Rank Approximation of Tensors 
Sub Title (in English)  
Keyword(1) tensor  
Keyword(2) simultaneous low rank approximation  
Keyword(3) robustification  
Keyword(4) face recognition  
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1st Author's Name Kohei Inoue  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Kenji Hara  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Kiichi Urahama  
3rd Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2008-12-18 16:35:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2008-168 
Volume (vol) vol.108 
Number (no) no.363 
Page pp.123-128 
#Pages
Date of Issue 2008-12-11 (PRMU) 


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