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Exemplar-based likelihoods using the PDF projection theorem

Tom Minka

Abstract

In computer vision it is common to define algorithms in terms of matching against exemplars. This paper describes a probabilistic framework for such algorithms. It allows you to assign a consistent likelihood for each exemplar, eliminating the normalization and bias problems which occur under the scheme of Toyama & Blake (2002).

Details

Publication typeTechReport
NumberMSR-TR-2004-148
Pages3
InstitutionMicrosoft Research Ltd
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