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Paper Abstract and Keywords
Presentation 2019-09-23 13:45
Building Datasets Using k-means Clustering and its Evaluation of Training Accuracy by Convolutional Neural Networks
Yuichi Miyata, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2019-43
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, aerial photography became easier than before by using the camera loaded in the drone. Also, convolutional neural network (CNN) is one of deep learning and is a network often used for image recognition. With the development of CNN, drones are being researched for applications in various fields such as agriculture. However, the drone camera’s battery and memory are limited. It is important to use the collected data effectively. In this study, we used clustering to make more efficient data sets from the collected image data. This time, we used k-means method to classify the image into two clusters and constructed data sets. This data set is trained using CNN. We examine differences in learning accuracy and computational cost on the data set before and after clustering. We compare the differences in learning accuracy and computational cost with the data set before and after clustering.
Keyword (in Japanese) (See Japanese page) 
(in English) Neural Networks / Image Classification / Clustering / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 209, NLP2019-43, pp. 41-44, Sept. 2019.
Paper # NLP2019-43 
Date of Issue 2019-09-16 (NLP) 
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 NLP  
Conference Date 2019-09-23 - 2019-09-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Eikokuji Campus, University of Kochi 
Topics (in Japanese) (See Japanese page) 
Topics (in English) etc. 
Paper Information
Registration To NLP 
Conference Code 2019-09-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Building Datasets Using k-means Clustering and its Evaluation of Training Accuracy by Convolutional Neural Networks 
Sub Title (in English)  
Keyword(1) Neural Networks  
Keyword(2) Image Classification  
Keyword(3) Clustering  
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1st Author's Name Yuichi Miyata  
1st Author's Affiliation Tokushima University (Tokushima Univ.)
2nd Author's Name Yoko Uwate  
2nd Author's Affiliation Tokushima University (Tokushima Univ.)
3rd Author's Name Yoshifumi Nishio  
3rd Author's Affiliation Tokushima University (Tokushima Univ.)
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Speaker Author-1 
Date Time 2019-09-23 13:45:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2019-43 
Volume (vol) vol.119 
Number (no) no.209 
Page pp.41-44 
#Pages
Date of Issue 2019-09-16 (NLP) 


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