文献
J-GLOBAL ID:202002226095456967
整理番号:20A0745900
手書き数字認識のための機械学習技術【JST・京大機械翻訳】
Machine Learning Techniques for Handwritten Digit Recognition
著者 (5件):
Azar Ahmad Taher
(Robotics and Internet-of-Things Lab (RIOTU), Prince Sultan University, Riyadh, Saudi Arabia)
,
Azar Ahmad Taher
(Faculty of Computer and Artificial Intelligence, Benha University, Benha, Egypt)
,
Khamis Alaa
(Centre for Pattern Analysis and Machine Intelligence (CPAMI), University of Waterloo, Waterloo, Canada)
,
Kamal Nashwa Ahmad
(Faculty of Engineering, Cairo University, Giza, Egypt)
,
Galli Brian
(Hofstra University, Hempstead, NY, USA)
資料名:
Advances in Intelligent Systems and Computing
(Advances in Intelligent Systems and Computing)
巻:
1153
ページ:
414-426
発行年:
2020年
JST資料番号:
W5075A
ISSN:
2194-5357
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)