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
A Non-Markovian Prediction for the GM-PHD Filter Based on R..:
, In:
2020 IEEE Radar Conference (RadarConf20)
,
Schlangen, Isabel
;
Jung, Steffen
;
Charlish, Alexander
- p. 1-6 , 2020
Link:
https://doi.org/10.1109/RadarConf2043947.2020.9266622
RT T1
2020 IEEE Radar Conference (RadarConf20)
: T1
A Non-Markovian Prediction for the GM-PHD Filter Based on Recurrent Neural Networks
UL https://suche.suub.uni-bremen.de/peid=ieee-9266622&Exemplar=1&LAN=DE A1 Schlangen, Isabel A1 Jung, Steffen A1 Charlish, Alexander YR 2020 SN 2375-5318 K1 Target tracking K1 Kalman filters K1 Bayes methods K1 Sociology K1 Recurrent neural networks K1 Time measurement K1 Radar tracking K1 Long Short-Term Memory K1 PHD Filter K1 Kalman Filter K1 Multi-Object Filtering SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/RadarConf2043947.2020.9266622 DO https://doi.org/10.1109/RadarConf2043947.2020.9266622 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)