@techreport{minka2004exemplar-based,
author = {Minka, Tom},
title = {Exemplar-based Likelihoods Using the PDF Projection Theorem},
year = {2004},
month = {January},
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).},
url = {http://approjects.co.za/?big=en-us/research/publication/exemplar-based-likelihoods-using-the-pdf-projection-theorem/},
pages = {3},
number = {MSR-TR-2004-148},
}