Zobrazeno 1 - 10
of 32
pro vyhledávání: '"D.W. McMichael"'
Publikováno v:
Information Fusion. 10:51-69
We analyse the key algorithms of data and information fusion from a linguistic point of view, and show that they fall into two paradigms: the primarily syntactic, and the primarily semantic. We propose an alternative grammatical paradigm which exploi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df8542055846fb0b3518e5295b773746
https://doi.org/10.1016/j.inffus.2008.05.008
https://doi.org/10.1016/j.inffus.2008.05.008
Autor:
D.W. McMichael, Mehmet Karan
Publikováno v:
IFAC Proceedings Volumes. 32:3926-3931
In distributed surveillance systems, a key problem is to associate track estimates that are generated by local processors to obtain a unified set of tracks. Existing track association techniques do not use track histories, and they do not take into a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22dd015b94a84766c991d25bb050ebff
https://doi.org/10.1016/s1474-6670(17)56670-7
https://doi.org/10.1016/s1474-6670(17)56670-7
Publikováno v:
Digital Signal Processing. 8:231-243
This paper reviews and formalizes algorithms for probabilistic inferences uponcausal probabilistic networks(CPN), also known asBayesian networks,and introduces ProbanetÂ?a development environment for CPNs. Information fusion in CPNs is realized thro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bb1053503285dac40737de1a50d867d
https://doi.org/10.1006/dspr.1998.0324
https://doi.org/10.1006/dspr.1998.0324
Autor:
D.W. McMichael, Geoff A. Jarrad
Publikováno v:
2005 7th International Conference on Information Fusion.
The needs of command and control (C2) dominate the requirements on data fusion technology. We analyze cognitive and technical models of data fusion and C2 and propose a new functional model that unifies and extends the JDL fusion model and Bryant's C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64447a72627f0dab7ad7c183ad543ced
https://doi.org/10.1109/icif.2005.1591937
https://doi.org/10.1109/icif.2005.1591937
Autor:
M. Karan, D.W. McMichael
Publikováno v:
Proceeding of 1st Australian Data Fusion Symposium.
This paper describes a multisensor single target tracking simulator "MUST" developed at CSSIP. MUST is based on a multisensor extended Kalman filter (EKF) which can handle asynchronous nonlinear multiple measurements of target parameters such as rang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d9b16aa97b12e504c32c5ac99491122
https://doi.org/10.1109/adfs.1996.581100
https://doi.org/10.1109/adfs.1996.581100
Autor:
D.W. McMichael, N. Okello
Publikováno v:
Proceeding of 1st Australian Data Fusion Symposium.
A generalised registration technique based on mixed-mode measurements from two or more spatially distributed sensors is presented. The algorithm outputs include maximum likelihood estimates of (i) registration parameters, (ii) registered sensor measu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4beda53ef4bac09c25fd267173627a3
https://doi.org/10.1109/adfs.1996.581077
https://doi.org/10.1109/adfs.1996.581077
Publikováno v:
1999 Information, Decision and Control. Data and Information Fusion Symposium, Signal Processing and Communications Symposium and Decision and Control Symposium. Proceedings (Cat. No.99EX251).
Under complete data, there are closed-form maximum likelihood estimators for mixed Bayesian networks composed of discrete models, conditional Gaussian models and conditional Gaussian regression models. We describe an extension to Lauritzen' expectati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f4ea38beaed4ddcddc48ef23def03df
https://doi.org/10.1109/idc.1999.754221
https://doi.org/10.1109/idc.1999.754221
Autor:
N.N. Okello, D.W. McMichael
Publikováno v:
1999 Information, Decision and Control. Data and Information Fusion Symposium, Signal Processing and Communications Symposium and Decision and Control Symposium. Proceedings (Cat. No.99EX251).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e52e5b14bff473edf1c8db777ebcdc53
https://doi.org/10.1109/idc.1999.754161
https://doi.org/10.1109/idc.1999.754161
Autor:
G.L. Goodman, D.W. McMichael
Publikováno v:
1999 Information, Decision and Control. Data and Information Fusion Symposium, Signal Processing and Communications Symposium and Decision and Control Symposium. Proceedings (Cat. No.99EX251).
This paper reports research into maximum likelihood parameter estimation for classification of data modelled as mixtures of multivariate Gaussian distributions. Two likelihood metrics are compared: the log conditional probability of the feature data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24705614e1be05f000a50014ffbfe4c6
https://doi.org/10.1109/idc.1999.754220
https://doi.org/10.1109/idc.1999.754220
Autor:
D.W. McMichael, G.A. Jarrad
Publikováno v:
1999 Information, Decision and Control. Data and Information Fusion Symposium, Signal Processing and Communications Symposium and Decision and Control Symposium. Proceedings (Cat. No.99EX251).
Spotter is a flexible extensible software tool for interactive development, application and testing of algorithms for detecting objects in multispectral imagery. Images from different sensors are registered, and low level features are extracted. Feat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f18f9cb4251318e69427959bc16ed20b
https://doi.org/10.1109/idc.1999.754193
https://doi.org/10.1109/idc.1999.754193