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Rata.SSR: Data Mining for Pertinent Stroke Recognizers
(The Eurographics Association, 2010)
While many approaches to digital ink recognition have been proposed, most lack flexibility and adaptability to provide acceptable recognition rates across a variety of problem spaces. Time and expert knowledge are required ...
The Power of Automatic Feature Selection: Rubine on Steroids
(The Eurographics Association, 2010)
Digital ink features drive recognition engines. Intuitively, we understand that particular features are of more value for some problems than others. Likewise, inclusion of poor features may be detrimental to recognition ...