The Assistant Professor of our Lab, Hiromoto, went for a presentation at the 2014 International Workshop on Smart Info-Media Systems in Asia (SISA2014) hold at Ho Chi Minh City, Vietnam on October 8-10, 2014 (Hiromoto’s presentation was on the 10th of October).
The presentation was about using deep learning, one of the popular machine learning methods, to classify Chinese calligraphic styles. By using deep learning to learn features of the calligraphic styles, it was shown that the same level of, or even higher, classification accuracy could be achieved. This method is expected to have its applications in the field of digital archive and questioned document examination.
- Masayuki Hiromoto and Takashi Sato:
“A Case Study of Chinese Calligraphic Style Classification using Deep Neural Network,” in Proc. of International Workshop on Smart Info-Media Systems in Asia (SISA), SS3-05, Oct. 2014.