2016
Comix: Joint estimation and lightspeed comparison of mixture models
ICASSP 2016accepted
The Kullback-Leibler divergence is a widespread dissimilarity measure between probability density functions, based on the Shannon entropy. Unfortunately, there is no analytic formula available to compute this divergence between mixture models, imposing the use of costly approximation algorithms. In…