Bayesian methodology for the local fusion of heterogeneous information sources;Bayes sche Methodik zur lokalen Fusion heterogener Informationsquellen

Technisches Messen

Volumn 74, Issue 3, 2007, Pages 103-111

  Beyerer, Jurgen ^a   Sander, Jennifer ^b   Werling, Stefan ^b  

^a FRAUNHOFER IOSB   (Germany)

^b UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

Bayesian fusion methodology; Criminalistics; Degree of belief interpretation of probability; Heterogeneous information sources; Local fusion approach

Indexed keywords

AGENT-BASED FUSION; BAYESIAN FUSION; BAYESIAN METHODOLOGY; COMPUTATIONAL COSTS; CRIMINALISTICS; FUSION METHODOLOGY; HETEROGENEOUS INFORMATION SOURCES; LOCAL FUSION;

MEASUREMENTS;

INSTRUMENTS;

EID: 56749140322     PISSN: 01718096     EISSN: None     Source Type: Journal    
DOI: 10.1524/teme.2007.74.3.103     Document Type: Article

References (13)

1. J. Beyerer, M. Heizmann, J. Sander: Fuselets - An Agent-Based Architecture for Fusion of Information of Heterogeneous Information and Data. In: Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006, Belur V Dasarathy (Hrsg.), Proceedings of SPIE 6242, pp. 235-243.
2. J. O. Berger: Statistical Decision Theory and Bayesian Analysis. 2. Aufl., Springer, 1985.
3. J. M. Bernardo, A. Smith: Bayesian Theory. 1. Aufl., Wiley, 1994.
4. M. Berthold, D. J. Hand: Intelligent Data Analysis. 2. Aufl., Springer, 2003.
5. J. D. Hey: Data in Doubt - An Introduction to Bayesian Statistical Inference for Economists. 1. Aufl., Martin Robertson, 1983.
6. E. T. Jaynes: Information Theory and Statistical Mechanics. In: Phys. Rev., Part I: 106, S. 620-630, 1957. Part II: 108, S. 171-191, 1957.
7. E. T. Jaynes: Prior Probabilities. In: IEEE Transactions on Systems, Science, and Cybernetics, 4, Nr. 3, S. 227-241, 1968.
8. J. N. Kapur: Maximum Entropy Models in Science and Engineering. Revised ed., Wiley, 1993.
9. C.P. Robert: The Bayesian Choice. Springer, 1994.
10. S.J. Russell, P. Norvig: Artificial intelligence: A modern approach. Prentice Hall, 2003.
11. J. Sander, J. Beyerer: Fusion agents - realizing Bayesian fusion via a local approach. In: Proceedings of the 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems 2006 (MFI06), pp. 249-254, Heidelberg.
12. P.N. Tan, M. Steinbach, V. Kumar: Introduction to Data Mining. Addison-Wesley, 2006.
13. G. Winkler: Stochastische Systeme - Analyse und Synthese. Akademische Verlagsgesellschaft, Wiesbaden 1977.