Data dependence in combining classifiers

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2709, Issue , 2003, Pages 1-14

  Kamel, Mohamed S ^a   Wanas, Nayer M ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTERS;

COMBINING CLASSIFIERS; COMBINING METHOD; COMBINING SCHEMES; COMPARATIVE PERFORMANCE; DATA DEPENDENCE; DATA DEPENDENT; DATA PATTERNS; MULTIPLE CLASSIFIER SYSTEMS;

PATTERN RECOGNITION SYSTEMS;

EID: 35248829639     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44938-8_1     Document Type: Article

References (36)

1. J. Kittler, and F. Roli (Eds.), "Multiple classifier systems", First International Workshop, MCS2000, Cagliari, Italy, June 21-23, 2000, Proceedings, Vol. 1857 of Lecture Notes in Computer Science, Springer-Verlag, Berlin, 2000.
2. J. Kittler, and F. Roli (Eds.), "Multiple classifier systems", Second International Workshop, MCS2001, Cambridge, UK, July 2-4, 2001 Proceedings, Vol. 2096 of Lecture Notes in Computer Science, Springer-Verlag, Berlin, 2001.
3. F. Roli, and J. Kittler (Eds.), "Multiple classifier systems", Third International Workshop, MCS2002, Cagliari, Italy June 24-26, 2002, Proceedings, Vol. 2364 of Lecture Notes in Computer Science, Springer-Verlag, Berlin, 2002.
4. J. Kittler, M. Hatef, D. Robert, J. Matas, "On combining classifiers". IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20:3, pp. 226-239, 1998.
5. A. Sharakey, "Types of multinet systems", In: F. Roli, and J. Kittler (Eds.), "Multiple classifier systems", Third International Workshop, MCS2002, Cagliari, Italy June 24-26, 2002, Proceedings, Vol. 2364 of Lecture Notes in Computer Science, Springer-Verlag, Berlin, pp. 108-117, 2002.
6. A. Sharkey, "Multinet Systems", In: A. Sharkey (Ed.), "Combining Artificial Neural Nets", Springer-Verlag, Berlin, pp. 1-30, 1999.
7. G. Auda, and M. Kamel, "Modular neural network classifiers: A comparative study", Journal of Intelligent and Robotic Systems, Vol. 21, pp. 117-129, 1998.
8. N. Wanas, and M. Kamel, "Combining neural network ensembles", International Joint Conference on Neural Networks (IJCNN'01), Washington, D.C., Jul 15-19, pp. 2952-2957, 2001.
9. D. Wolpert, "Stacked generalization", Neural Networks, Vol. 5, pp. 241-259, 1992.
10. T. Ho, J. Hull, S. Srihari, "Decision combination in multiple classifier systems", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 16:1, pp. 66-75, 1994.
11. L. Kuncheva, "A theoritical study on six classifier fusion strategies", IEEE Transactions on Systems, Man and Cybernetics, Vol. 24:2, pp. 281-286, 2002.
12. A. Verikas, A. Lipnickas, K. Malmqvist, M. Bacauskiene, A. Gelzinis, "Soft combination of neural classifiers: A comparative study", Pattern Recognition Letters, Vol. 20, pp. 429-444, 1999.
13. R. Duin, and D. Tax, "Experiments with Classifier Combining Rules", In: J. Kittier, and F. Roli (Eds.), "Multiple classifier systems", First International Workshop, MCS2000, Cagliari, Italy, June 21-23, 2000, Proceedings, Vol. 1857 of Lecture Notes in Computer Science, Springer-Verlag, Berlin, pp. 16-29, 2000.
14. L. Alexandre, A. Campihlo, and M. Kamel, "On combining classifiers using sum and product rules", Pattern Recognition Letters, Vol. 22, pp. 1283-1289, 2001.
15. D. Tax, M. Breukelen, R. Duin, and J. Kittler, "Combining multiple classifiers by averaging or by mutliplying?", Pattern Recognition, Vol 33, pp. 1475-1485, 2000.
16. R. Duin, "The combining classifier: To train or not to train?", Proceedings of the 16th International Conference on Pattern Recognition (ICPR 2002), Quebec City, Canada, Vol 2, pp. 765-770, 2002.
17. S. Hashem, "Optimal linear combinations of neural networks", Neural Networks Vol. 10:4, pp. 599-614, 1997.
18. N. Ueda, "Optimal Linear Combination of neural networks for improving classification performance", Pattern Analysis and Machine Intelligence, Vol. 22, No. 2, pp. 207-215, 2000.
19. P. Gader, M. Mohamed, and J. Keller, "Fusion of handwritten word classifiers", Pattern Recognition Letters, Vol. 17, pp. 577-584, 1996.
20. L. Xu, A. Krzyzk, C. Suen, "Methods of combining multiple classifiers and their application to handwriting recognition", IEEE Transactions on Systems, Man and Cybernetics, Vol. 22:3, pp. 418-435, 1992.
21. Y. Freund, and R. Schapire, "Experiments with a new boosting algorithm", In Proceedings of the 13th International Conference on Machine Learning, Morgan Kaufmann, pp. 149-156, 1996.
22. Y. Huang, and C. Suen, "A method of combining multiple experts for recognition of unconstrained handwritten numerals", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 17:1, pp. 90-94, 1995.
23. S. Kumar, J. Ghosh, and M. Crawford, "Hierarchical fusion of multiple classifiers for Hyperspectral Data Analysis", Pattern Analysis and Applications, Vol. 5, pp. 210-220, 2002.
24. K. Sirlantzis, S. Hoque, and M. C. Fairhurst, "Trainable multiple classifier schemes for handwritten character recognition", In: F. Roli, J. Kittler (Eds.), "Multiple classifier systems", Third International Workshop, MCS2002, Cagliari, Italy June 24-26, 2002, Proceedings, Vol. 2364 of Lecture Notes in Computer Science, Springer-Verlag, Berlin, pp. 169-178, 2002.
25. L. Lam, and C. Suen, "Optimal combination of pattern classifiers", Pattern Recognition Letters, Vol. 16, pp. 945-954, 1995.
26. L. Kuncheva, J. Bezdek, and R. Duin, "Decsion templates for multiple classifier fusion: an experimental comparision", Pattern Recognition, Vol. 34, pp. 299-314, 2001.
27. L. Kuncheva, "Switching between selection and fusion in combining classifiers: An experiment", IEEE Transactions on Systems, Man and Cybernetics - Part B, Vol. 32:2, pp. 146-156, 2002.
28. K. Woods, W. Kegelmeyer, and K. Bowyer, "Combination of multiple classifiers using local accuracy estimates", Pattern Analysis and Machine Intelligence, Vol. 19, No. 4, pp. 405-410, 1997.
29. G. Giancinto, and F. Roli, "Dynamic classifier selection based on multiple classifier behaviour", Pattern Recognition, Vol. 34, pp. 1879-1881, 2001.
30. M. Jordon, and R. Jacobs, "Hierarchical mixtures of experts and the EM algorithm", Neural Computing Vol. 6:2, pp. 181-214, 1994.
31. X. Song, Y. AbuMostafa, J. Sill, H. Kasdan, and M. Pavel, "Robust image recognition by fusion of contextual information", Information Fusion, Vol. 3, pp. 277-287, 2002.
32. N. Wanas, L. Hodge, and M. Kamel, "Adaptive Training Algorithm for an Ensemble of Networks", International Joint Conference on Neural Networks (IJCNN'01), Washington, D.C., Jul 15-19, pp. 2590-2595, 2001.
33. S. Hashem, "Treating Harmful Collinearity in Neural Network Ensembles", In: A. Sharkey (Ed.), "Combing Artificial Neural Nets", Springer-Verlag, Berlin, pp. , 1999.
34. A. Sharkey, N. Sharkey, U. Gerecke, and G. Chandroth, "The test and select approach to ensemble combination", In: J. Kittler, and F. Roli (Eds.), "Multiple classifier systems", First International Workshop, MCS2000, Cagliari, Italy, June 21-23, 2000, Proceedings, Vol. 1857 of Lecture Notes in Computer Science, Springer-Verlag, Berlin, pp. 30-44, 2000.
35. Giorgio Giancinto, and Fabio Roli, "An approach to the automatic design of multiple classifier systems", Pattern Recognition Letters. Vol. 22, pp. 25-33, 2001
36. C. Blake, and C. Merz, "UCI Repository of machine learning databases [http://www.ics.uci.edu/~mlearn/MLRepository.html]", University of California, Irvine, Dept. of Information and Computer Sciences, 1998.