文献
J-GLOBAL ID:201702251376805188
整理番号:17A0910226
特徴融合と選択に基づく階層的分類を用いたデータベース侵入速度を用いた分散型インクリメンタル指紋同定【Powered by NICT】
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection
著者 (9件):
Peralta Daniel
(Department of Internal Medicine, Ghent University, Ghent, Belgium)
,
Peralta Daniel
(Data Mining and Modelling for Biomedicine group, VIB Center for Inflammation Research, Ghent, Belgium)
,
Triguero Isaac
(School of Computer Science, University of Nottingham, Jubilee Campus, Wollaton Road, Nottingham NG8 1BB, United Kingdom)
,
Garcia Salvador
(Department of Computer Science and Artificial Intelligence of the University of Granada, 18071 Granada, Spain)
,
Saeys Yvan
(Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium)
,
Saeys Yvan
(Data Mining and Modelling for Biomedicine group, VIB Center for Inflammation Research, Ghent, Belgium)
,
Benitez Jose M.
(Department of Computer Science and Artificial Intelligence of the University of Granada, 18071 Granada, Spain)
,
Herrera Francisco
(Department of Computer Science and Artificial Intelligence of the University of Granada, 18071 Granada, Spain)
,
Herrera Francisco
(Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia)
資料名:
Knowledge-Based Systems
(Knowledge-Based Systems)
巻:
126
ページ:
91-103
発行年:
2017年
JST資料番号:
T0426A
ISSN:
0950-7051
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)