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Paper Abstract and Keywords
Presentation 2010-05-14 14:45
An Analysis of the Impact of a Training Dataset Expansion for Generic Object Recognition
Takumi Toyama, Koichi Kise (Osaka Prefecture Univ.) IE2010-40 PRMU2010-28 MI2010-28
Abstract (in Japanese) (See Japanese page) 
(in English) In the field of pattern recognition, it is well known that the contents of a training dataset affects the recognition performance.
Most datasets used in the field of generic object recognition have a somewhat small number of
samples per category. Thus, it is reasonable to think that we can acquire higher recognition performance by expanding the dataset.
Although several approaches have attempted to increase the number of samples, the amount of these increased samples is about ten thousands which can be increased more to acquire much higher recognition performance.
Thus, we collect hundred thousands of images and compare the recognition performance between the dataset with original size and the dataset which is expanded with our dataset expansion method.
In addition, we also analyze the impact of using different classifiers for these expanded datasets.
Keyword (in Japanese) (See Japanese page) 
(in English) Generic object recognition / Dataset expansion / Filtering / Support Vector Machine / $k$-Nearest Neighbor / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 27, PRMU2010-28, pp. 145-150, May 2010.
Paper # PRMU2010-28 
Date of Issue 2010-05-06 (IE, PRMU, MI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 IE2010-40 PRMU2010-28 MI2010-28

Conference Information
Committee PRMU IE MI  
Conference Date 2010-05-13 - 2010-05-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Chubu Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2010-05-PRMU-IE-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Analysis of the Impact of a Training Dataset Expansion for Generic Object Recognition 
Sub Title (in English)  
Keyword(1) Generic object recognition  
Keyword(2) Dataset expansion  
Keyword(3) Filtering  
Keyword(4) Support Vector Machine  
Keyword(5) $k$-Nearest Neighbor  
1st Author's Name Takumi Toyama  
1st Author's Affiliation Osaka Prefecture University (Osaka Prefecture Univ.)
2nd Author's Name Koichi Kise  
2nd Author's Affiliation Osaka Prefecture University (Osaka Prefecture Univ.)
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Date Time 2010-05-14 14:45:00 
Presentation Time 30 
Registration for PRMU 
Paper # IEICE-IE2010-40,IEICE-PRMU2010-28,IEICE-MI2010-28 
Volume (vol) IEICE-110 
Number (no) no.26(IE), no.27(PRMU), no.28(MI) 
Page pp.145-150 
#Pages IEICE-6 
Date of Issue IEICE-IE-2010-05-06,IEICE-PRMU-2010-05-06,IEICE-MI-2010-05-06 

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