Zoning and metaclasses for character recognition
Proceedings of the 2007 ACM symposium on Applied computing
Confusion matrix disagreement for multiple classifiers
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
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In this paper we try to characterize a set of classification problems. For this, we use the disagreement between a set of standard classifiers. The disagreement patterns do not only point towards different types of classification problems, but also indicate the novelty and the usefulness of a classifier with respect to a setof classification problems and classifiers. Some experiments show when known classification problems become unknown after changing their feature size or their training set size.