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• W1497698712 abstract "Learning handwriting categories fail to perform well when trained and tested on data from different databases. In this paper, we propose a novel framework of Ensemble Projection (EP) for writer adaptation. We employed EP as a feature transformation method which can be combined with different types of classifiers for unsupervised and semi-supervised adaptation. Experiments on a handwritten digit dataset demonstrate that EP learning can increase recognition rates significantly, both in the unsupervised and semi-supervised cases." @default.
• W1497698712 created "2016-06-24" @default.
• W1497698712 creator A5043307061 @default.
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• W1497698712 date "2015-03-01" @default.
• W1497698712 modified "2023-09-27" @default.
• W1497698712 title "A writer adaptation method for isolated handwritten digit recognition based on Ensemble Projection of features" @default.
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• W1497698712 doi "https://doi.org/10.1109/pria.2015.7161630" @default.
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