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Paper Abstract and Keywords
Presentation 2024-06-05 11:30
Performance Evaluation of Machine Learning Models using Entropy of Images
Riko Abe, Yuya Dan (Matsuyama Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In machine learning with artificial neural networks, there are differences in recognition accuracy in learning models of images classified into classes, depending on the features of the dataset and test images. In particular, we compared models composed of images with high entropy with models composed of images with low entropy for the training data. The entropies used were color image entropy, which is mainly the color information of the image, and differential entropy, which is mainly information about the shape of the image. Specifically, this paper describes the results of experiments comparing the dataset CIFAR-10 with various types of entropy to capture features of images with low recognition accuracy using methods such as back propagation.
Keyword (in Japanese) (See Japanese page) 
(in English) Entropy / Difference Entropy / Image Recognition / Machine Learning / Convolutional Neural Network / / /  
Reference Info. ITE Tech. Rep., vol. 48, pp. 17-20, June 2024.
Paper #  
Date of Issue 2024-05-29 (AIT) 
ISSN Online edition: ISSN 2424-1970
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Conference Information
Committee IIEEJ AIT  
Conference Date 2024-06-05 - 2024-06-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Information Design Professional University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IIEEJ 
Conference Code 2024-06-IIEEJ-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance Evaluation of Machine Learning Models using Entropy of Images 
Sub Title (in English)  
Keyword(1) Entropy  
Keyword(2) Difference Entropy  
Keyword(3) Image Recognition  
Keyword(4) Machine Learning  
Keyword(5) Convolutional Neural Network  
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1st Author's Name Riko Abe  
1st Author's Affiliation Matsuyama University (Matsuyama Univ.)
2nd Author's Name Yuya Dan  
2nd Author's Affiliation Matsuyama University (Matsuyama Univ.)
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Speaker Author-1 
Date Time 2024-06-05 11:30:00 
Presentation Time 20 minutes 
Registration for IIEEJ 
Paper # AIT2024-146 
Volume (vol) vol.48 
Number (no) no.16 
Page pp.17-20 
#Pages
Date of Issue 2024-05-29 (AIT) 


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