513 search results - page 33 / 103 » Bayesian Approaches to Gaussian Mixture Modeling |
130
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
136
Voted
ICASSP
2010
IEEE
15 years 3 months ago
2010
IEEE
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
120
Voted
NIPS
2007
15 years 5 months ago
2007
We propose a Gaussian process (GP) framework for robust inference in which a GP prior on the mixing weights of a two-component noise model augments the standard process over laten...
131
Voted
ICASSP
2010
IEEE
15 years 3 months ago
2010
IEEE
This paper deals with the problem of under-determined convolutive blind source separation. We model the contribution of each source to all mixture channels in the time-frequency d...
147
Voted
CVPR
2005
IEEE
16 years 5 months ago
2005
IEEE
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...