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
Semiconducting bilinear deep learning for incomplete image ..:
, In:
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
,
Zhong, Sheng-hua
;
Liu, Yan
;
Chung, Fu-lai
. - p. 1-8 , 2012
Link:
https://dl.acm.org/doi/10.1145/2324796.2324836
RT T1 <cTitle>Proceedings of the 2nd ACM International Conference on Multimedia Retrieval</cTitle>: T1 <Title>Semiconducting bilinear deep learning for incomplete image recognition</Title> UL https://suche.suub.uni-bremen.de/peid=acm-2324836&Exemplar=1&LAN=DE A1 Zhong, Sheng-hua A1 Liu, Yan A1 Chung, Fu-lai A1 Wu, Gangshan PB ACM YR 2012 K1 deep learning K1 image recognition K1 missing features K1 semiconducting RBM K1 semiconducting bilinear discriminant initialization K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision representations K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 1 OP 8 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2324796.2324836 DO https://dl.acm.org/doi/10.1145/2324796.2324836 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
