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
Stochastic Relational Network:
, In:
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
,
Yoo, Kang Min
;
Jo, Hyun Soo
;
Lee, Hanbit
.. - p. 788-792 , 2019
Link:
https://doi.org/10.1109/ICCVW.2019.00105
RT T1
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
: T1
Stochastic Relational Network
UL https://suche.suub.uni-bremen.de/peid=ieee-9022121&Exemplar=1&LAN=DE A1 Yoo, Kang Min A1 Jo, Hyun Soo A1 Lee, Hanbit A1 Han, Jeeseung A1 Lee, Sang-goo YR 2019 SN 2473-9944 K1 Cognition K1 Mathematical model K1 Task analysis K1 Visualization K1 Stochastic processes K1 Feature extraction K1 Neural networks K1 relational reasoning K1 stochastic network K1 gradient estimator SP 788 OP 792 LK http://dx.doi.org/https://doi.org/10.1109/ICCVW.2019.00105 DO https://doi.org/10.1109/ICCVW.2019.00105 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)