Noisy digit classification with multiple specialist
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Cut digits classification with k-NN multi-specialist
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
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This paper discusses a combination of two techniques for improving the recognition accuracy of on-line handwritten character recognition: committee classification and adaptation to the user. A novel adaptive committee structure, namely the Class-Confidence Critic Combination (CCCC) scheme, is presented and evaluated. It is shown to be able to improve significantly on its member classifiers. Also the effect of having either more or less diverse sets of memberclassifiers is considered.