427 search results - page 3 / 86 » Density Estimation: Nonparametric Techniques |
ICVGIP
2004
13 years 9 months ago
2004
Robust model fitting is important for computer vision tasks due to the occurrence of multiple model instances, and, unknown nature of noise. The linear errors-in-variables (EIV) m...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Moment matching is a popular means of parametric density estimation. We extend this technique to nonparametric estimation of mixture models. Our approach works by embedding distri...
ACML
2009
Springer
14 years 2 months ago
2009
Springer
Many regression schemes deliver a point estimate only, but often it is useful or even essential to quantify the uncertainty inherent in a prediction. If a conditional density estim...
BTW
2005
Springer
14 years 1 months ago
2005
Springer
Abstract: An effective processing and analysis of data streams is of utmost importance for a plethora of emerging applications like network monitoring, traffic management, and fi...
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...