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A generative model for similarity-based classification is proposed using maximum entropy estimation. First, a descriptive set of similarity statistics is assumed to be sufficient for classification. Then the class conditional distributions of these descriptive statistics are estimated as the maximum entropy distributions subject to empirical moment constraints. The resulting exponential class conditional...
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