Recognizer for Calligraphic Interfaces Csar F. Pimentel, Manuel J. da...  Home/Search
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Abstract: This paper describes a trainable recognizer for hand-drawn sketches using geometric features. We compare three different training algorithms and select the best approach in terms of cost-performance ratio. The algorithms employ classic machine-learning techniques using a clustering approach. (Update)
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BibTeX entry: (Update)
@misc{ calligraphic-experimental,
author = "Recognizer For Calligraphic",
title = "Experimental Evaluation of a Trainable Scribble",
url = "citeseer.ist.psu.edu/703274.html" }
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