Sciweavers

857 search results - page 9 / 172
» Hierarchical Gaussian Mixture Model
Sort
View
ICPR
2008
IEEE
14 years 1 months ago
Parameter-based reduction of Gaussian mixture models with a variational-Bayes approach
This paper 1 proposes a technique for simplifying a given Gaussian mixture model, i.e. reformulating the density in a more parcimonious manner, if possible (less Gaussian componen...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
FOCS
1999
IEEE
13 years 11 months ago
Learning Mixtures of Gaussians
Mixtures of Gaussians are among the most fundamental and widely used statistical models. Current techniques for learning such mixtures from data are local search heuristics with w...
Sanjoy Dasgupta
ICASSP
2010
IEEE
13 years 7 months ago
Subspace Gaussian Mixture Models for speech recognition
We describe an acoustic modeling approach in which all phonetic states share a common Gaussian Mixture Model structure, and the means and mixture weights vary in a subspace of the...
Daniel Povey, Lukas Burget, Mohit Agarwal, Pinar A...
NECO
2002
95views more  NECO 2002»
13 years 7 months ago
Mixture of Experts Classification Using a Hierarchical Mixture Model
Michalis K. Titsias, Aristidis Likas
ESANN
2004
13 years 8 months ago
Robust Bayesian Mixture Modelling
Abstract. Bayesian approaches to density estimation and clustering using mixture distributions allow the automatic determination of the number of components in the mixture. Previou...
Christopher M. Bishop, Markus Svensén