Combining classifiers

Proceedings - International Conference on Pattern Recognition

Volumn 2, Issue , 1996, Pages 897-901

  Kittler, J ^a   Hater, M ^b   Duin, R P W ^c  

^a UNIVERSITY OF SURREY   (United Kingdom)

^b ERA TECHNOLOGY LTD   (United Kingdom)

^c DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

SOFTWARE ENGINEERING;

CLASSIFIER COMBINATION; CLASSIFIER COMBINATION SCHEMES; COMBINATION RULES; COMBINING CLASSIFIERS; ESTIMATION ERRORS; EXPERIMENTAL COMPARISON; PATTERN REPRESENTATION; THEORETICAL FRAMEWORK;

PATTERN RECOGNITION;

EID: 2442689454     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.1996.547205     Document Type: Conference Paper

References (16)

1. J. Cao, M. Ahmadi, and M. Shridhar, Recognition of handwritten numerals with multiple feature and multistage classifier, Pattern Recognition, vol. 28, no. 2, 1995, 153-160.
2. S.B. Cho and J.H. Kim, "Multiple network fusion using fuzzy logic," IEEE Transactions on Neural Networks, vol. 6, no. 2, pp. 497-501, 1995.
3. J. Franke and E. Mandler, A Comparison of Two Approaches for Combining the Votes of Cooperating Classifiers. Proceedings IIth IAPR International Conference on Pattern Recognition, Volume II, Conference B: Pattern Recognition Methodology and Systems, 1992, 611-614.
4. L.K. Hansen and P. Salamon, "Neural network ensembles", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, no. 10, pp. 993- 1001, 1990.
5. Hashem and B. Schmeiser, Improving model accuracy using optimal linear combinations of trained neural networks, IEEE Transactions on Neural Networks, vol. 6, no. 3, 1995, 792-794.
6. T.K. Ho, J.J. Hull, and S.N. Srihari, "Decision combination in multiple classifier systems",IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, no. I, pp. 66-75, 1994.
7. F. Kimura and M. Shridhar, Handwritten numerical recognition based on multiple algorithms, Pattern Recognition, vol. 24, no. 10,1991,969-983.
8. A. Krogh and J. Vedelsby, "Neural network ensembeles, cross validation, and active learning," in Advances in neural information processing systems 7, ed. G. Tesauro, D.S. Touretzky, T.K. Leen, MIT Press, Cambridge MA, 1995.
9. G. Rogova, Combining the results of several neural network classifiers, Neural Networks, vol. 7, no. 5, 1994, 777-781.
10. V. Tresp, M. Taniguchi, Combining estimators using non-constant weighting functions, in: G. Tesauro, D.S. Touretzky, T.K. Leen, eds., Advances in neural information processing systems 7, MIT Press, Cambridge MA, 1995
11. CH. Tung, H.J. Lee, and J. Y. Tsai, Multi-stage pre-candidate selection in handwritten Chinese character recognition systems, Pattern Recognition, vol. 27, no. 8, 1994, 1093-1102.
12. D.H. Wolpert, Stacked generalization, Neural Networks, vol. 5, no. 2, 1992,241-260.
13. L. Xu, A. Krzyzak, C.Y. Suen, Methods of combining multiple classifiers and their applications to handwriting recognition, IEEE Trans. SMC, vol. 22, no. 3, 1992, pp. 418-435.
14. M. Hatef and J. Kittler, Constraining probabilistic relaxation with symbolic attributes, Proc. 6th Internat Conference on Computer Analysis of Images and Patterns, V Hlavac and R Sara (Eds), 862-867, Prague 1995.
15. A. J. Elms, A connected character recogniser using Level Building of HMMs, Proceedings 12th IAPR International Conference and Neural Networks, Volume II, Conference B: Pattern Recognition Methodology and Systems 1994, 439-441.
16. M. Hatef and J. Kittler and R. P. Duin, Combining Multiple clssifiers, VSSP Techniclial Report, University of Surrey, 1996.