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- W1573752512 abstract "In this paper, a multi-classifier combination scheme based on weighting individual classifier's candidates is proposed. Four individual classifiers are constructed with four different feature extraction approaches. A confidence function is defined for the classifier integration through weighting the similarity of different individual classifier candidate outputs. Different integration methods are studied. Application of the multi-classifier to handwriting Chinese character recognition demonstrates that the recognition rate of the integrated system can be improved by 2% or so, showing the effectiveness of the proposed method." @default.
- W1573752512 created "2016-06-24" @default.
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- W1573752512 date "2000-01-01" @default.
- W1573752512 modified "2023-09-27" @default.
- W1573752512 title "A New Multi-classifier Combination Scheme and Its Application in Handwriting Chinese Character Recognition" @default.
- W1573752512 cites W2002101849 @default.
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- W1573752512 doi "https://doi.org/10.1007/3-540-40063-x_61" @default.
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