102 search results - page 2 / 21 » Discriminative Training of Gaussian Mixtures for Image Objec... |
ICASSP
2007
IEEE
14 years 21 days ago
2007
IEEE
Recently graph-cut optimization has been extensively explored for interactive image segmentation. In this paper we propose Discriminative Gaussian Mixtures (DGMs) to boost the per...
ICML
2003
IEEE
14 years 7 months ago
2003
IEEE
We show that a classifier based on Gaussian mixture models (GMM) can be trained discriminatively to improve accuracy. We describe a training procedure based on the extended Baum-W...
ICDAR
2009
IEEE
14 years 1 months ago
2009
IEEE
The problem of determining the appropriate number of components is important in finite mixture modeling for pattern classification. This paper considers the application of an unsu...
IJON
2011
12 years 9 months ago
2011
, Yunde Jia Model structure selection is currently an open problem in modeling data via Gaussian Mixture Models (GMM). This paper proposes a discriminative method to select GMM st...
NN
2002
Springer
13 years 6 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...