1299 search results - page 11 / 260 » Quantizing Density Estimators |
GFKL
2004
Springer
14 years 28 days ago
2004
Springer
Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
The median and mean graph are basic building blocks for statistical graph analysis and unsupervised pattern recognition methods such as central clustering and graph quantization. ...
MICCAI
2010
Springer
13 years 5 months ago
2010
Springer
We evaluate probability density functions of diffusivity measures in DTI fiber tracts as biomarkers. For this, we estimate univariate and bivariate densities, such as joint probabi...
EJASP
2010
13 years 2 months ago
2010
Given discrete event data, we wish to produce a probability density that can model the relative probability of events occurring in a spatial region. Common methods of density esti...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
This paper presents a kernel density estimation method by means of real-coded crossovers. Estimation of density algorithms (EDAs) are evolutionary optimization techniques, which d...