Goeffrey E. Hinton

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We present a system that separates text from graphics strokes in handwritten digital ink. It utilizes not just the characteristics of the strokes, but also the information provided by the gaps between the strokes, as well as the temporal characteristics of the stroke sequence. It is built using machine learning techniques that infer the internal parameters(More)
Shallow pattern inference systems necessitate a pre-processing stage whereby high-dimensional signals are mapped to a lower-dimension feature space that can be applied to standard classifiers. As a result, the intelligence of the system shifts to the feature extraction process, which is often imperfect and always application-domain specific. Deep machine(More)
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