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Paper Abstract and Keywords
Presentation 2020-03-13 11:20
Approximation of Log-Aesthetic Curves using ODE-Net
Seiya Sakurai, Norimasa Yoshida (Nihon Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In conventional deep learning, it is difficult to obtain the desired accuracy unless the time interval is constant. A method called ODE-Net (Ordinary Differential Equation Network) that can adapt to data with an irregular time interval has been proposed. In this study, in order to examine the performance of ODE-Net, the logarithmic spiral used in the previous study is extended to log-aesthetic curves, and the approximation is performed with conditions such as how to sample the curve and from which region to perform approximation. The results show that a good approximation can be obtained by learning log-aesthetic curves toward approaching a circle, and by using arc length instead of tangential angle as a parameter.
Keyword (in Japanese) (See Japanese page) 
(in English) AI / Deep Learning / Ordinary Differential Equation / ODE-Net / Log-Aesthetic Curve / Time series data / /  
Reference Info. ITE Tech. Rep., vol. 44, pp. 135-136, March 2020.
Paper #  
Date of Issue 2020-03-06 (AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Conference Date 2020-03-13 - 2020-03-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo University of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Expressive Japan 2020 
Paper Information
Registration To IIEEJ 
Conference Code 2020-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Approximation of Log-Aesthetic Curves using ODE-Net 
Sub Title (in English)  
Keyword(1) AI  
Keyword(2) Deep Learning  
Keyword(3) Ordinary Differential Equation  
Keyword(4) ODE-Net  
Keyword(5) Log-Aesthetic Curve  
Keyword(6) Time series data  
1st Author's Name Seiya Sakurai  
1st Author's Affiliation Nihon University (Nihon Univ.)
2nd Author's Name Norimasa Yoshida  
2nd Author's Affiliation Nihon University (Nihon Univ.)
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Speaker Author-1 
Date Time 2020-03-13 11:20:00 
Presentation Time 15 minutes 
Registration for IIEEJ 
Paper # AIT2020-89 
Volume (vol) vol.44 
Number (no) no.10 
Page pp.135-136 
Date of Issue 2020-03-06 (AIT) 

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