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
Performance Enhancement For Gender Recognition Using Traina..:
, In:
2019 First International Conference of Intelligent Computing and Engineering (ICOICE)
,
Basulaim, Khaled Omer
;
Dabash, Adeeb Ali
- p. 1-5 , 2019
Link:
https://doi.org/10.1109/ICOICE48418.2019.9035141
RT T1 <cTitle>2019 First International Conference of Intelligent Computing and Engineering (ICOICE)</cTitle>: T1 <Title>Performance Enhancement For Gender Recognition Using Trainable Bank of Gabor Filters and NCA</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9035141&Exemplar=1&LAN=DE A1 Basulaim, Khaled Omer A1 Dabash, Adeeb Ali YR 2019 K1 Support vector machines K1 Gabor filters K1 Feature extraction K1 Face recognition K1 Prototypes K1 Image segmentation K1 Classification algorithms K1 gender recognition K1 facial image K1 feature extraction K1 SVM classifier SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICOICE48418.2019.9035141 DO https://doi.org/10.1109/ICOICE48418.2019.9035141 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
