Learning Dirichlet kernel histogram functions for pattern recognition

A formula of approximating histograms is presented. The formula is an explicit function of data permitting the inclusion of unknown parameters. The parameters in the formula are learned so as to classify training data to build a pattern classifier. Recognition is performed by applying the classifier to testing data. Our method is used for the recognition of vehicle-type.

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