On the impact of fusion strategies on classification errors for large ensembles of classifiers

Pattern Recognition

Volumn 39, Issue 11, 2006, Pages 1963-1978

  Cabrera, João B D ^a  

^a SCIENTIFIC SYSTEMS COMPANY INC   (United States)

Author keywords

Asymptotic methods; Classifier combination; Classifier fusion; Fusion methods; Independent classifiers; Sensor networks

Indexed keywords

ASYMPTOTIC STABILITY; ERROR ANALYSIS; PERFORMANCE; SENSOR DATA FUSION; SENSORS;

ASYMPTOTIC METHODS; CLASSIFIER COMBINATION; CLASSIFIER FUSION; FUSION METHODS; INDEPENDENT CLASSIFIERS;

PATTERN RECOGNITION;

EID: 33746791981     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2006.04.040     Document Type: Article

References (27)

1. Ho T.K., Hull J.J., and Srihari S.N. Decision combination in multiple classifier systems. IEEE Trans. Pattern Anal. Mach. Intell. 16 1 (1994) 66-75
2. Xu L., Krzyzak A., and Suen C.Y. Methods of combining multiple classifiers and their applications to handwriting recognition. IEEE Trans. Systems, Man, Cyberneti. 22 3 (1992) 418-435
3. Kuncheva L.I. Combining Pattern Classifiers: Methods and Algorithms (2004), Wiley, New York
4. N.C. Oza, R. Polikar, J. Kittler, F. Roli (Eds.), Multiple classifier systems, Sixth International Workshop, Seaside, CA, Lecture Notes in Computer Science, vol. 3541, Springer, Berlin, June 2005.
5. Tumer K., and Ghosh J. Error correlation and error reduction in ensemble classifiers. Connection Sci. 8 3/4 (1996) 385-404
6. Brown G., Wyatt J., Harris R., and Yao X. Diversity creation methods: a survey and categorization. Inform. Fusion 6 (2005) 5-20
7. Alkoot F.M., and Kittler J. Experimental evaluation of expert fusion strategies. Pattern Recognition Lett. 20 (1999) 1361-1369
8. Chen D., and Cheng X. An asymptotic analysis of some expert fusion methods. Pattern Recognition Lett. 22 (2001) 901-904
9. Kittler J., and Alkoot F.M. Sum versus vote fusion in multiple classifier systems. IEEE Trans. Pattern Anal. Mach. Intell. 25 1 (2003) 110-115
10. Kuncheva L.I. A theoretical study on six classifier fusion strategies. IEEE Trans. Pattern Anal. Mach. Intell. 24 2 (2002) 281-286
11. Tumer K., and Ghosh J. Linear and order statistics combiners for pattern classification. In: Sharkey A. (Ed). Combining Artificial Neural Networks (1999), Springer, Berlin 127-162
12. Akyildiz I.F., Su W., Sankarasubraniam Y., and Cayirci E. Wireless sensor networks: a survey. Comput. Networks 38 (2002) 393-422
13. Brooks R.R., Ramanathan P., and Sayed A.M. Distributed target classification and tracking in sensor networks. Proc. IEEE 91 8 (2003) 1163-1171
14. Sung Y., Tong L., and Swami A. Asymptotic locally optimal detector for large-scale sensor networks under the Poisson regime. IEEE Trans. Signal Process. 53 6 (2005) 2005-2017
15. Cabrera J.B.D., Gutiérrez C., and Mehra R.K. Infrastructures and algorithms for distributed anomaly-based intrusion detection in mobile ad-hoc networks. Proceedings of the IEEE Military Communications Conference (IEEE MILCOM 2005). Atlantic City, NJ (October 2005)
16. Zhang Y., Lee W., and Huang Y.-A. Intrusion detection techniques for mobile wireless networks. Wireless Networks 9 5 (2003) 545-556
17. Breiman L. Probability and Stochastic Processes With a View Toward Applications (1969), Houghton Mifflin Company, Boston
18. J. Kittler, F.M. Alkoot, Relationship of sum and vote fusion strategies, in: J. Kittler, F. Roli (Eds.), Proceedings of Multiple Classifier Systems, Second International Workshop, Lecture Notes in Computer Science, vol. 2096, Springer, Cambridge, UK, July 2001, pp. 339-348.
19. N. Sebe, M.S. Lew, I. Cohen, A. Garg, T.S. Huang, Emotion recognition using a Cauchy Naive Bayes Classifier, in: Proceedings of IEEE International Conference on Pattern Recognition, vol. I, Quebec City, Canada, August 2002, pp. 17-20.
20. Sebe N., Lew M.S., and Huijsmans D.P. Toward improved ranking metrics. IEEE Trans. Pattern Anal. Mach. Intell. 22 10 (2000) 1132-1143
21. Casella G., and Berger R.L. Statistical Inference (1990), Duxbury Press, Belmont, CA
22. Ferguson T.S. A Course in Large Sample Theory (1996), Chapman & Hall, London
23. Cramér H. Mathematical Methods of Statistics (1946), Princeton University Press, Princeton
24. Kotz S., and Nadarajah S. Extreme Value Distributions-Theory and Applications (2000), Imperial College Press, London
25. Hettmansperger T.P., and Keenan M.A. Tailweight, statistical inference and families of distributions-a brief survey. In: Patil G.P., et al. (Ed). Statistical Distributions in Scientific Work (1980), D. Reidel Publishing Company, Dordrecht, Holland
26. van Zwet W.R. Convex Transformations of Random Variables (1964), Mathematisch Centrum, Amsterdam, Holland
27. Fumera G., and Roli F. A theoretical and experimental analysis of linear combiners for multiple classifier systems. IEEE Trans. Pattern Anal. Mach. Intell. 27 6 (2005) 942-956