Research on Hard-tipped Calligraphy Classification Based on Deep Learning Method
Author:
Affiliation:
1. Capital Normal University, College of Information Engineering, Beijing, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3318396.3318417
Reference21 articles.
1. Ministry of Education of the People's Republic of China. The Ministry of Education's Opinions on the Development of Calligraphy Education in Primary and Secondary Schools - Faculty II{2011} No.4{Z}. 2011-08-02 Ministry of Education of the People's Republic of China. The Ministry of Education's Opinions on the Development of Calligraphy Education in Primary and Secondary Schools - Faculty II{2011} No.4{Z}. 2011-08-02
2. Casey R Nagy G. Decision tree design using a probabilistic model (Corresp.){M}.IEEE Press 1984 Casey R Nagy G. Decision tree design using a probabilistic model (Corresp.){M}.IEEE Press 1984
3. Review on Shape Matching{J};Ding Xianfeng;Acta Automatica Sinica
4. Computer Evaluation of Imitation in Chinese Calligraphy{J};Deng Xuexiong;Journal of Graphics,2014
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