2190 search results - page 63 / 438 » Mixtures of Gaussian Processes |
180
Voted
SSPR
2010
Springer
15 years 2 months ago
2010
Springer
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
143
click to vote
CSDA
2006
15 years 4 months ago
2006
The mixmod (mixture modeling) program fits mixture models to a given data set for the purposes of density estimation, clustering or discriminant analysis. A large variety of algor...
129
Voted
AAAI
2010
15 years 5 months ago
2010
Constructing models of mobile agents can be difficult without domain-specific knowledge. Parametric models flexible enough to capture all mobility patterns that an expert believes...
134
click to vote
IJCAI
2007
15 years 5 months ago
2007
Nonparametric Bayesian mixture models, in particular Dirichlet process (DP) mixture models, have shown great promise for density estimation and data clustering. Given the size of ...
135
click to vote
SSD
2007
Springer
15 years 10 months ago
2007
Springer
In many modern applications such as biometric identification systems, sensor networks, medical imaging, geology, and multimedia databases, the data objects are not described exact...