1052 search results - page 11 / 211 » Combining Gaussian Mixture Models |
DICTA
2003
13 years 9 months ago
2003
For many applied problems in the context of clustering via mixture models, the estimates of the component means and covariance matrices can be affected by observations that are at...
ICMCS
2008
IEEE
14 years 2 months ago
2008
IEEE
This paper presents a real-time single-camera surveillance system, aiming at detecting and partly analyzing a group of people. A set of moving persons is segmented using a combina...
ECCV
2006
Springer
14 years 9 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...
ICIP
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper, we introduce a new method for tracking multiple objects. The method combines Kalman filtering and the Expectation Maximization (EM) algorithm in a novel way to dea...
NN
2002
Springer
13 years 7 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...