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
Data2MV - A user behaviour dataset for multi-view scenarios:
Soares da Costa, Tiago
;
Andrade, Maria Teresa
;
Viana, Paula
.
2. Costa T, Andrade M, Viana P, Silva N. (2023). Data2MV - A User Behaviour Dataset for Multi-View Scenarios, Data in Brief, Volume 51, Elsevier, https://doi.org/10.1016/j.dib.2023.109702. , 2023
Link:
http://hdl.handle.net/10400.22/24730
RT Journal T1 <Title>Data2MV - A user behaviour dataset for multi-view scenarios</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftinstpporto:oai:recipp.ipp.pt:10400.22_24730&Exemplar=1&LAN=DE A1 Soares da Costa, Tiago A1 Andrade, Maria Teresa A1 Viana, Paula A1 Silva, Nuno Castro PB Elsevier YR 2023 K1 Multimedia K1 Multi-view K1 Head-tracking K1 Adaptive streaming K1 View prediction K1 Deep learning JF 2. Costa T, Andrade M, Viana P, Silva N. (2023). Data2MV - A User Behaviour Dataset for Multi-View Scenarios, Data in Brief, Volume 51, Elsevier, https://doi.org/10.1016/j.dib.2023.109702 LK http://hdl.handle.net/10400.22/24730 DO http://hdl.handle.net/10400.22/24730 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
