CONF Moerland-98.2a/IDIAP A comparison of mixture models for density estimation Moerland, Perry EXTERNAL http://publications.idiap.ch/attachments/papers/1999/moerland-density98.pdf PUBLIC http://publications.idiap.ch/index.php/publications/showcite/moerland-98.2 Related documents Proceedings of the International Conference on Artificial Neural Networks (ICANN'99) 1 25-30 1999 London: IEE (IDIAP-RR 98-14) Gaussian mixture models (GMMs) are a popular tool for density estimation. However, these models are limited by the fact that they either impose strong constraints on the covariance matrices of the component densities or no constraints at all. This paper presents an experimental comparison of GMMs and the recently introduced mixtures of linear latent variable models. It is shown that the latter models are a more flexible alternative for GMMs and often lead to improved results. REPORT Moerland-98.2/IDIAP Localized mixtures of experts Moerland, Perry Idiap-RR-14-1998 1998 IDIAP