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
Application of Extreme Learning Machine to Automatic Licens..:
, In:
2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA)
,
Huang, Zhao-Kai
;
Tseng, Hao-Wei
;
Chen, Cheng-Lun
- p. 1447-1452 , 2019
Link:
https://doi.org/10.1109/ICIEA.2019.8833867
RT T1
2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA)
: T1
Application of Extreme Learning Machine to Automatic License Plate Recognition
UL https://suche.suub.uni-bremen.de/peid=ieee-8833867&Exemplar=1&LAN=DE A1 Huang, Zhao-Kai A1 Tseng, Hao-Wei A1 Chen, Cheng-Lun YR 2019 SN 2158-2297 K1 License plate recognition K1 Character recognition K1 Image edge detection K1 Gray-scale K1 Morphology K1 Image segmentation K1 Extreme learning machine SP 1447 OP 1452 LK http://dx.doi.org/https://doi.org/10.1109/ICIEA.2019.8833867 DO https://doi.org/10.1109/ICIEA.2019.8833867 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)