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
Deep learning based audio and video cross-modal recommendat..:
, In:
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
,
Tie, Yun
;
Li, Xiaobing
;
Zhang, Tian
... - p. 2366-2371 , 2022
Link:
https://doi.org/10.1109/SMC53654.2022.9945521
RT T1 <cTitle>2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)</cTitle>: T1 <Title>Deep learning based audio and video cross-modal recommendation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9945521&Exemplar=1&LAN=DE A1 Tie, Yun A1 Li, Xiaobing A1 Zhang, Tian A1 Jin, Cong A1 Zhao, Xin A1 Tie, Jiessie YR 2022 SN 2577-1655 K1 Deep learning K1 Knowledge engineering K1 Industries K1 Adaptation models K1 Neural networks K1 Grasping K1 Streaming media K1 deep learning K1 multimodal K1 cross-modal retrieval K1 cross-domain recommendation K1 adversarial learning SP 2366 OP 2371 LK http://dx.doi.org/https://doi.org/10.1109/SMC53654.2022.9945521 DO https://doi.org/10.1109/SMC53654.2022.9945521 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
