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Paper Abstract and Keywords
Presentation 2014-12-12 13:00
A proposal for data selection in self-training based cross dataset action recognition
Takafumi Suzuki, Yu Wang, Jien Kato, Kenji Mase (Nagoya Univ) PRMU2014-80
Abstract (in Japanese) (See Japanese page) 
(in English) In action recognition, in order to obtain high performance classifiers, it is necessary to feed the training algorithm enough labeled data.
Since labeling is a very expensive task, it is necessary to develop approaches which can efficiently reuse labeled data.
In this work, we consider the task of utilizing labeled data from one dataset (source dataset) to train action classifiers for data from another completely unlabeled dataset (target dataset).
We propose a novel approach for such a task by extending the well-known self-training algorithm to including two different data selecting criterions that are inspired by Support Vector Machine and k-Nearest Neighbor.
The superior of our approach has been confirmed by benchmark dataset.
Keyword (in Japanese) (See Japanese page) 
(in English) Action Recognition / Pattern Recognition / Self Training / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 356, PRMU2014-80, pp. 85-89, Dec. 2014.
Paper # PRMU2014-80 
Date of Issue 2014-12-04 (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 PRMU2014-80

Conference Information
Committee PRMU  
Conference Date 2014-12-11 - 2014-12-12 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2014-12-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A proposal for data selection in self-training based cross dataset action recognition 
Sub Title (in English)  
Keyword(1) Action Recognition  
Keyword(2) Pattern Recognition  
Keyword(3) Self Training  
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1st Author's Name Takafumi Suzuki  
1st Author's Affiliation Nagoya University (Nagoya Univ)
2nd Author's Name Yu Wang  
2nd Author's Affiliation Nagoya University (Nagoya Univ)
3rd Author's Name Jien Kato  
3rd Author's Affiliation Nagoya University (Nagoya Univ)
4th Author's Name Kenji Mase  
4th Author's Affiliation Nagoya University (Nagoya Univ)
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Speaker Author-1 
Date Time 2014-12-12 13:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2014-80 
Volume (vol) vol.114 
Number (no) no.356 
Page pp.85-89 
#Pages 5 
Date of Issue 2014-12-04 (PRMU) 

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