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Paper Abstract and Keywords
Presentation 2023-03-14 16:15
Generation and inpainting of Kuzushiji image data using Boltzmann Machines
Hiroki Ikoma (NAIST), Mauricio Bermudez, Minho Lee (KNU), Kazushi Ikeda (NAIST) NC2022-108
Abstract (in Japanese) (See Japanese page) 
(in English) It is almost impossible for the average person to read Kuzushiji today. For this reason, there is a need to develop tools for deciphering and translating collapsed characters using machine learning and other methods. On the other hand, the frequency of occurrence of characters is biased and character images are sometimes missing, making it difficult to collect training data and requiring data augmentation methods. We proposed data augmentation by generating and repairing corrupted characters using a Boltzmann machine (BM) and conducted computational experiments. Although the repair process was not stable, we were able to generate the Kuzushiji "no" using a BM that had learned about 450 images. Because generating the same Kuzushiji "no" using GAN required about 4700 training data per character, the use of BM has the potential to dramatically reduce the number of images required for data augmentation for Kuzushiji.
Keyword (in Japanese) (See Japanese page) 
(in English) Kuzushiji / Data Augmentation / Boltzmann Machines / Generative Models / Image Inpainting / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 425, NC2022-108, pp. 94-98, March 2023.
Paper # NC2022-108 
Date of Issue 2023-03-06 (NC) 
ISSN 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 NC2022-108

Conference Information
Committee NC MBE  
Conference Date 2023-03-13 - 2023-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English) The Univ. of Electro-Communications 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Brain architecture, General 
Paper Information
Registration To NC 
Conference Code 2023-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Generation and inpainting of Kuzushiji image data using Boltzmann Machines 
Sub Title (in English)  
Keyword(1) Kuzushiji  
Keyword(2) Data Augmentation  
Keyword(3) Boltzmann Machines  
Keyword(4) Generative Models  
Keyword(5) Image Inpainting  
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1st Author's Name Hiroki Ikoma  
1st Author's Affiliation Nara Institute of Science and Technology (NAIST)
2nd Author's Name Mauricio Bermudez  
2nd Author's Affiliation Kyungpook National University (KNU)
3rd Author's Name Minho Lee  
3rd Author's Affiliation Kyungpook National University (KNU)
4th Author's Name Kazushi Ikeda  
4th Author's Affiliation Nara Institute of Science and Technology (NAIST)
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Speaker Author-1 
Date Time 2023-03-14 16:15:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2022-108 
Volume (vol) vol.122 
Number (no) no.425 
Page pp.94-98 
#Pages
Date of Issue 2023-03-06 (NC) 


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