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
Jump Markov Nonlinear System Identification for Behavior Cl..:
, In:
2019 22th International Conference on Information Fusion (FUSION)
,
Richa, Eduardo
;
Podt, Martin
;
Bakker, Rienk
. - p. 1-8 , 2019
Link:
https://doi.org/10.23919/FUSION43075.2019.9011325
RT T1 <cTitle>2019 22th International Conference on Information Fusion (FUSION)</cTitle>: T1 <Title>Jump Markov Nonlinear System Identification for Behavior Classification in Multi-Sensor Target Tracking</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9011325&Exemplar=1&LAN=DE A1 Richa, Eduardo A1 Podt, Martin A1 Bakker, Rienk A1 Driessen, Hans YR 2019 K1 Hidden Markov models K1 Trajectory K1 Markov processes K1 Target tracking K1 Radar tracking K1 Nonlinear systems K1 Particle filters K1 behavior or trajectory classification K1 jump Markov system K1 nonlinear system identification K1 particle filter K1 smoothing K1 expectation maximization (EM) K1 state-space models K1 sensor fusion K1 target tracking K1 hidden Markov model SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.23919/FUSION43075.2019.9011325 DO https://doi.org/10.23919/FUSION43075.2019.9011325 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
