878 search results - page 5 / 176 » Continuous Gaussian Mixture Modeling |
117
click to vote
CIARP
2006
Springer
15 years 5 months ago
2006
Springer
Abstract. Recently we have proposed Gaussian mixtures as a local statistical model to synthesize artificial textures. We describe the statistical dependence of pixels of a movable ...
116
Voted
ICIP
2005
IEEE
16 years 3 months ago
2005
IEEE
We consider the problem of image segmentation by clustering local histograms with parametric mixture-of-mixture models. These models represent each cluster by a single mixture mod...
PAMI
2008
15 years 1 months ago
2008
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
129
click to vote
NIPS
2000
15 years 3 months ago
2000
We introduce the mixture of Gaussian processes (MGP) model which is useful for applications in which the optimal bandwidth of a map is input dependent. The MGP is derived from the...
133
click to vote
INTERSPEECH
2010
14 years 8 months ago
2010
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...