144 search results - page 2 / 29 » Nonmonotonic Generalization Bias of Gaussian Mixture Models |
DAGM
2010
Springer
13 years 6 months ago
2010
Springer
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
NIPS
2000
13 years 6 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...
JAIR
1998
13 years 5 months ago
1998
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
NN
2002
Springer
13 years 5 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...
ICASSP
2009
IEEE
14 years 7 days ago
2009
IEEE
The Extended Baum-Welch (EBW) Transformations is one of a variety of techniques to estimate parameters of Gaussian mixture models. In this paper, we provide a theoretical framewor...