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
Super-Fast Image Data Retrieval Method Based on Hash Algori..:
, In:
2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)
,
Gu, Li-chen
;
Chen, Ying
;
Yan, Xiao-le
- p. None , 2009
Link:
https://doi.org/10.1109/ICICIC.2009.340
RT T1
2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)
: T1
Super-Fast Image Data Retrieval Method Based on Hash Algorithm
UL https://suche.suub.uni-bremen.de/peid=ieee-5412272&Exemplar=1&LAN=DE A1 Gu, Li-chen A1 Chen, Ying A1 Yan, Xiao-le YR 2009 K1 Information retrieval K1 Image retrieval K1 Databases K1 Data engineering K1 Geographic Information Systems K1 Computer architecture K1 Electronic mail K1 Global Positioning System K1 Navigation K1 Costs SP None LK http://dx.doi.org/https://doi.org/10.1109/ICICIC.2009.340 DO https://doi.org/10.1109/ICICIC.2009.340 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)