Computer Science
8 years ago

New method combines speed and accuracy for recognizing Chinese characters.

Engineering Applications of Artificial Intelligence
A method to speed up the Bayes classifier
CH Leung, L. Sze

Paper Summary

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A new method was developed to make the Bayes classifier faster by combining it with the branch-and-bound algorithm. This method helps find the nearest neighbor from a set of reference vectors, improving both speed and accuracy compared to the k-NN classifier. By assuming Gaussian statistics, the researchers successfully implemented this method to recognize printed Chinese characters with good results.