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
Incremental Learning with Memory Regressors for Motion Pred..:
, In:
Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023)
,
Yang, Yahan
;
Dutta, Souradeep
;
Jang, Kuk Jin
.. - p. 264-265 , 2023
Link:
https://dl.acm.org/doi/10.1145/3576841.3589627
RT T1
Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023)
: T1
Incremental Learning with Memory Regressors for Motion Prediction in Autonomous Racing
UL https://suche.suub.uni-bremen.de/peid=acm-3589627&Exemplar=1&LAN=DE A1 Yang, Yahan A1 Dutta, Souradeep A1 Jang, Kuk Jin A1 Sokolsky, Oleg A1 Lee, Insup PB ACM YR 2023 K1 motion-prediction K1 anomalous inputs K1 incremental learning K1 learning-enabled CPS K1 Computing methodologies K1 Machine learning K1 Learning settings K1 Online learning settings SP 264 OP 265 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3576841.3589627 DO https://dl.acm.org/doi/10.1145/3576841.3589627 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)