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
Image annotations by combining multiple evidence & wordNet:
, In:
Proceedings of the 13th annual ACM international conference on Multimedia
,
Jin, Yohan
;
Khan, Latifur
;
Wang, Lei
. - p. 706-715 , 2005
Link:
https://dl.acm.org/doi/10.1145/1101149.1101305
RT T1 <cTitle>Proceedings of the 13th annual ACM international conference on Multimedia</cTitle>: T1 <Title>Image annotations by combining multiple evidence & wordNet</Title> UL https://suche.suub.uni-bremen.de/peid=acm-1101305&Exemplar=1&LAN=DE A1 Jin, Yohan A1 Khan, Latifur A1 Wang, Lei A1 Awad, Mamoun PB ACM YR 2005 K1 Dempster-Shafer rule K1 corel dataset K1 image annotation K1 semantic-similarity K1 wordNet K1 Information systems K1 Information retrieval SP 706 OP 715 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/1101149.1101305 DO https://dl.acm.org/doi/10.1145/1101149.1101305 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
