文献
J-GLOBAL ID:201702228592095732
整理番号:17A1427278
RGB D物体認識におけるカーネル四元数主成分分析とその応用【Powered by NICT】
Kernel quaternion principal component analysis and its application in RGB-D object recognition
著者 (6件):
Chen Beijing
(Jiangsu Engineering Center of Network Monitoring, School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing 210044, China)
,
Chen Beijing
(Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing 210044, China)
,
Chen Beijing
(College of Information & Communication Engineering, Sungkyunkwan University, Suwon 440746, Korea)
,
Yang Jianhao
(Jiangsu Engineering Center of Network Monitoring, School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing 210044, China)
,
Jeon Byeungwoo
(College of Information & Communication Engineering, Sungkyunkwan University, Suwon 440746, Korea)
,
Zhang Xinpeng
(School of Communication & Information Engineering, Shanghai University, Shanghai 200072, China)
資料名:
Neurocomputing
(Neurocomputing)
巻:
266
ページ:
293-303
発行年:
2017年
JST資料番号:
W0360A
ISSN:
0925-2312
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)