Handwritten numerical recognition based on multiple algorithms
Pattern Recognition
Decision Combination in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Method of Combining Multiple Experts for the Recognition of Unconstrained Handwritten Numerals
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Classifiers Based on Minimization of a Bayes Error Rate
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Evaluation of Combination Methods
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Methods for Dynamic Classifier Selection
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Ensembles of Learning Machines
WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers
Discovering Rules for Dynamic Configuration of Multi-classifier Systems
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Increasing the Number of Classifiers in Multi-classifier Systems: A Complementarity-Based Analysis
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Bank-check Processing System: Modifications Due to the New European Currency
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
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In this paper a new evaluation method for expert combination is presented. It takes into account the correlation among experts, their number and their recognition rate. An extended investigation on Majority Vote, Bayesian, Behaviour Knowledge Space and Dempster-Shafer method for abstract-level classifiers is presented. The two-way analysis of variance test and the Scheffè post-hoc comparison have been used to investigate on the factors that influence the recognition rate of the multi-expert system and to collect useful information for the multi-expert system designing.