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
SSR-VFD: Spatial Super-Resolution for Vector Field Data Ana..:
, In:
2020 IEEE Pacific Visualization Symposium (PacificVis)
,
Guo, Li
;
Ye, Shaojie
;
Han, Jun
... - p. 71-80 , 2020
Link:
https://doi.org/10.1109/PacificVis48177.2020.8737
RT T1 <cTitle>2020 IEEE Pacific Visualization Symposium (PacificVis)</cTitle>: T1 <Title>SSR-VFD: Spatial Super-Resolution for Vector Field Data Analysis and Visualization</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9086293&Exemplar=1&LAN=DE A1 Guo, Li A1 Ye, Shaojie A1 Han, Jun A1 Zheng, Hao A1 Gao, Han A1 Chen, Danny Z. A1 Wang, Jian-Xun A1 Wang, Chaoli YR 2020 SN 2165-8773 K1 Spatial super-resolution K1 vector field data K1 convolutional neural network K1 deep learning SP 71 OP 80 LK http://dx.doi.org/https://doi.org/10.1109/PacificVis48177.2020.8737 DO https://doi.org/10.1109/PacificVis48177.2020.8737 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
