40 search results - page 1 / 8 » Discriminative Gaussian Mixture Models: A Comparison with Ke... |
ICML
2003
IEEE
14 years 5 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...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
In this paper we propose a novel order-recursive training algorithm for kernel-based discriminants which is computationally efficient. We integrate this method in a hybrid HMM-bas...
AAAI
2000
13 years 6 months ago
2000
We introduce the notion of restricted Bayes optimal classifiers. These classifiers attempt to combine the flexibility of the generative approach to classification with the high ac...
AVBPA
2003
Springer
13 years 8 months ago
2003
Springer
We compare two classifier approaches, namely classifiers based on Multi Layer Perceptrons (MLPs) and Gaussian Mixture Models (GMMs), for use in a face verification system. The comp...
ICDAR
2009
IEEE
13 years 11 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...