Sensitivity of fusion performance to classifier model variations

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5099, Issue , 2003, Pages 39-46

  Goebel, Kai ^a  

^a GE GLOBAL RESEARCH   (United States)

Author keywords

Classification; Decision Fusion; Diagnostics; Information Fusion; Simulation

Indexed keywords

COMPUTER SIMULATION; FEATURE EXTRACTION; OPTIMIZATION; PERFORMANCE;

DECISION FUSION; INFORMATION FUSION;

SENSOR DATA FUSION;

EID: 0042827700     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.487284     Document Type: Conference Paper

References (11)

1. Yan, W. Goebel, K., and Li, J. "Classifier Performance Measures in Multi-Fault Diagnosis for Aircraft Engines", Proceedings of SPIE, Component and Systems Diagnostics, Prognostics, and Health Management II, vol. 4733, pp. 88-97, 2002.
2. Egan , J.P., Signal detection theory and ROC analysis, Series in Cognition and Perception, Academic Press, New York, 1975.
3. Downey, T.J., Meyer, D.J., Price, R.K., and Spitznagel, E.L, "Using the receiver operating characteristics to asses the performance of neural classifiers", IJCNN '99 - International Joint Conference on Neural Networks, Vol.5, pp3642-3646, 1999.
4. Bradley, A.P., "The use of the area under the ROC curve in the evaluation of machine learning algorithms", Pattern Recognition, Vol.30, No.7, pp.1145-1159, 1997.
5. D. Hall and A. Garga, "Pitfalls in Data Fusion (and How to Avoid Them)", Proceedings of the Second International Conference on Information Fusion (Fusion '99), pp. 429-436, 1999.
6. Goebel, K. and Yan, W., "Fusing Binary and Continuous Output of Multiple Classifiers", Proceedings of the Fifth International Conference on Information Fusion, Fusion 2002, vol. 1, pp. 380-387, 2002.
7. Fowlkes, W. and Creveling, C., Engineering Methods for Robust Product Design, Addison-Wesley Publishing Company, Reading, MA, 1995.
8. Fishman, G., Monte Carlo: concepts, algorithms, and applications. Springer-Verlag, New York, 1996.
9. Sobol, I., A primer for the Monte Carlo method. CRC Press, Boca Raton, FL, 1994.
10. Goebel, K. Krok, M., and Sutherland, H., "Diagnostic Information Fusion: Requirements Flowdown and Interface Issues", Proceedings of IEEE Aerospace Conference, p. 11.0303, 2000.
11. Goebel, K. "Architecture and Design of a Diagnostic Information Fusion Tool", AIEDAM: Special Issue on AI in Equipment Service, Vol. 15 (4), pp. 335-348, Sept. 2001.