Robustness through prior knowledge: using explanation-based learning to distinguish handwritten Chinese characters

Abstract

Handwritten Chinese character recognition is difficult due to the unstructured and noisy nature of its training examples. There are often too few training examples for a statistical learner like SVM to overcome the noise and extract useful information reliably. Existing prior domain knowledge represents a valuable source of information for classifying… (More)
DOI: 10.1007/s10032-007-0053-1

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