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- W2365131907 abstract "Multi-classifier ensemble is a new research direction.A new method of multi-classifier ensemble is presented in this paper.The method uses two-level classifiers to ensemble.An improved Euclid distance classifier at the first level is used to make a rough set for the test samples,and then the one-against-rest SVM classifiers are applied to recognize the handwritten Chinese more exactly.Finally the two-level classifiers are ensembled by the Bayesian law.The experiment for the handwritten national standard Chinese validates the effectiveness of the scheme." @default.
- W2365131907 created "2016-06-24" @default.
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- W2365131907 date "2009-01-01" @default.
- W2365131907 modified "2023-09-23" @default.
- W2365131907 title "A Handwritten Chinese Character Recognition Method Based on Multi-Classifier Ensemble" @default.
- W2365131907 hasPublicationYear "2009" @default.
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