César F. Pimentel

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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. Experimental results show competing performance (95.1%) with the non-trainable recognizer (95.8%) previously developed, with obvious gains in flexibility(More)
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