Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition
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For training supervised classifiers to recognize different patterns, large data collections with accurate labels are necessary. In this paper, we propose a generic, semi-automatic labeling technique for large handwritten character collections. In order to spee... ...
