I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
A Method for Facial Kinship Verification Based on Deep Lear..:
, In:
Recent Trends in Intelligent Computing, Communication and Devices; Advances in Intelligent Systems and Computing
,
Zhou, Hao
;
Qiu, Xiongdong
;
Cong, Huajian
... - p. 131-139 , 2019
Link:
https://doi.org/10.1007/978-981-13-9406-5_17
RT T1
Recent Trends in Intelligent Computing, Communication and Devices; Advances in Intelligent Systems and Computing
: T1
A Method for Facial Kinship Verification Based on Deep Learning
UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-981-13-9406-5_17&Exemplar=1&LAN=DE A1 Zhou, Hao A1 Qiu, Xiongdong A1 Cong, Huajian A1 Wu, Haiyan A1 Wang, Baiping A1 Guo, Fuli A1 Li, Hao A1 Wang, Lianshui PB Springer Singapore YR 2019 SP 131 OP 139 LK http://dx.doi.org/https://doi.org/10.1007/978-981-13-9406-5_17 DO https://doi.org/10.1007/978-981-13-9406-5_17 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)