César F. Pimentel

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CALI is a fast, simple and compact online recognizer that identifies Scribbles (multi-stroke geometric shapes) drawn with a stylus on a digitizing tablet. Our method is able to identify shapes of different sizes and rotated at arbitrary angles , drawn with dashed, continuous strokes or overlapping lines. We use temporal adjacency to allow users to input the(More)
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. Experimental results show competing performance (95.1%) with the(More)
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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