474 search results - page 10 / 95 » Bayesian Feature and Model Selection for Gaussian Mixture Mo... |
TRECVID
2007
13 years 10 months ago
2007
We describe a high level feature extraction system for video. Video sequences are modeled using Gaussian Mixture Models. We have used those models in the past to segment video seq...
ECCV
2006
Springer
14 years 11 months ago
2006
Springer
In this paper we present a new density estimation algorithm using mixtures of mixtures of Gaussians. The new algorithm overcomes the limitations of the popular Expectation Maximiza...
JMLR
2010
13 years 3 months ago
2010
We propose a fully Bayesian approach for generalized kernel models (GKMs), which are extensions of generalized linear models in the feature space induced by a reproducing kernel. ...
MICCAI
2008
Springer
14 years 10 months ago
2008
Springer
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...
NN
2002
Springer
13 years 8 months ago
2002
Springer
The objective in any pattern recognition problem is to capture the characteristics common to each class from feature vectors of the training data. While Gaussian mixture models ap...