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2000
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Classification of Style-Constrained Pattern-Fields

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Classification of Style-Constrained Pattern-Fields
In some classification tasks, all patterns in a field, such as digits in a ZIP-code image, originate from the same, but unknown, source (writer/print style). The class-conditional feature distributions depend on the source of the patterns. Several sources may share the same distribution, or style. The style-conditional distributions are estimated from the training set. The optimal field-classifier computes the classconditional field-feature-probabilities as the sum of classand-style-conditional field-feature-probabilities, weighted by the prior probabilities of the styles. We compare the decision regions and error rates of style-weighted classification with both conventional singlet and top-style classification in a minimal family of examples, and discuss some related practical considerations.
Prateek Sarkar, George Nagy
Added 25 Aug 2010
Updated 25 Aug 2010
Type Conference
Year 2000
Where ICPR
Authors Prateek Sarkar, George Nagy
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