Optimizing the error/reject trade-off for a multi-expert system using the Bayesian combining rule

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

Volumn 1451, Issue , 1998, Pages 717-725

  Cordelia, L P ^a   Foggia, P ^a   Sansone, C ^a   Tortorella, F ^a   Vento, M ^a  

^a Dipartimento di Informatica e Sistemistica   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; ECONOMIC AND SOCIAL EFFECTS; ERRORS; EXPERT SYSTEMS; PATTERN RECOGNITION SYSTEMS;

CLASSIFICATION DECISION; COMBINING RULES; CRITICAL CASE; ERROR RATE; ITS APPLICATIONS; MISCLASSIFICATIONS; MULTI-EXPERT SYSTEMS; TRADE OFF;

PATTERN RECOGNITION;

EID: 84947749180     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (18)

1. C.Y. Suen, C. Nadal, R. Legault, T.A. Mai, and L. Lam, "Computer Recognition of Unconstrained Handwritten Numeral", Proceedings of the IEEE, vol. 80 no. 7, pp. t162-1180, 1992.
2. B. Ackermann, H. Bunke, "Combination of Classifiers on the Decision Level for Face Recognition", Technical Report IAM-96-002, Institut für Informatik und angewandte Mathematik, Universitäit Bern, January 1996.
3. T.K. Ho, JJ. Hull, S.N. Srihari, "Decision Combination in Multiple Classifier Systems", IEEE Transactions on PAMI, vol. 16, n. 1, pp. 66-75, 1994.
4. L. Xu, A. Krzyzak, C.Y. Suen, "Method of Combining Multiple Classifiers and Their Application to Handwritten Numeral Recognition", IEEE Trans. on SMC, vol. 22, no. 3, pp. 418-435, 1992.
5. Y.S. Huang, C.Y. Suen, "A Method of Combining Multiple Experts for the Recognition of Unconstrained Handwritten Numerals", IEEE Trans. on PAMI, vol. 17, no. 1, pp. 90-94, 1995.
6. L.P. Cordelia, C. De Stefano, F. Tortorella, M. Vento, "A Method for Improving Classification Reliability of Multilayer Perceptrons" IEEE Trans. on Neural Networks, vol. 6, no. 5, pp. 1140-1147, 1995.
7. C. K. Chow, "On Optimum Recognition Error and Reject Tradeoff", IEEE Trans. on Information Theory, vol. 16, no. 1, January 1970.
8. M.D. Richard, R.P. Lippman, "Neural Network Classifiers Estimates Bayesian a posteriori Probabilities", Neural Computation, vol. 3, no. 4, pp. 461-483, 1991.
9. I. Bloch, "Information Combination Operators for Data Fusion: A Comparative Review with Classification", IEEE Trans. on SMC - Part A, vol. 26, no. 1, pp. 52-76, 1996.
10. W.K. Pratt, Digital Image Processing, Wiley-Interscience, New York, 1991.
11. L.P. Cordelia, C. De Stefano, M. Vento, "A Neural Network Classifier for OCR Using Structural Descriptions", Machine Vision and Applications, no. 8, pp. 336-342, 1995.
12. P. Foggia, C. Sansone, F. Tortorella, and M. Vento, "Character Recognition by Geometrical Moments on Structural Decompositions", in Proc. of the 4 th ICDAR, Ulm (D), IEEE Computer Society Press, pp. 6-10, 1997.
13. T.M. Cover, P.E. Hart, "Nearest Neighbor Pattern Classification", IEEE Transactions on Information Theory, vol. 13, pp. 21-27, 1967.
14. D.E. Rumelhart, J.L. Mc CleUand, Parallel Distributed Processing Explorations in the Microstructure of Cognition, Vol.l: Foundations, MIT Press, Cambridge, Mass, 1986.
15. T. Kohonen, "The Self-Organizing Map", Proceedings of the IEEE, vol. 78, no. 9, pp. 1464-1480, 1990.
16. R. Hecth-Nielsen, Neurocomputing, Addison-Wesley, Reading (MA), 1990.
17. C. De Stefano, P. Foggia, F. Tortorella, M. Vento, "A Distance Measure for Structural Descriptions Using Circle Arcs as Primitives" in Proc. of the 13 th ICPR, Vienna, IEEE Computer Society Press, Vol. II, pp. 290-294, 1996.
18. P.J. Grother, "NIST Special Database 19", Technical Report, National Institute of Standards and Technology, 1995.