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
Neural Variational Learning for Grounded Language Acquisiti..:
, In:
2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN)
,
Pillai, Nisha
;
Matuszek, Cynthia
;
Ferraro, Francis
- p. 633-640 , 2021
Link:
https://doi.org/10.1109/RO-MAN50785.2021.9515374
RT T1
2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN)
: T1
Neural Variational Learning for Grounded Language Acquisition
UL https://suche.suub.uni-bremen.de/peid=ieee-9515374&Exemplar=1&LAN=DE A1 Pillai, Nisha A1 Matuszek, Cynthia A1 Ferraro, Francis YR 2021 SN 1944-9437 K1 Learning systems K1 Visualization K1 Grounding K1 Shape K1 Image color analysis K1 Unified modeling language K1 Semantics SP 633 OP 640 LK http://dx.doi.org/https://doi.org/10.1109/RO-MAN50785.2021.9515374 DO https://doi.org/10.1109/RO-MAN50785.2021.9515374 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)