类-自信批判组合

Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition Pub Date : 2002-08-06 DOI:10.1109/IWFHR.2002.1030909

M. Aksela, R. Girdziusas, Jorma T. Laaksonen, E. Oja, J. Kangas

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引用次数: 4

摘要

本文讨论了结合委员会分类和用户自适应两种技术提高在线手写体字符识别准确率的方法。提出并评价了一种新的自适应委员会结构——类-置信度批评家组合(CCCC)方案。结果表明，该方法能够显著改进其成员分类器。此外，还考虑了不同的成员分类器集的影响。

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Class-confidence critic combining

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 member classifiers is considered.

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Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition

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