80 search results - page 3 / 16 » An Accelerated Algorithm for Density Estimation in Large Dat... |
CSDA
2006
13 years 7 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...
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
Background subtraction is an essential processing component for many video applications. However, its development has largely been application driven and done in ad hoc manners. I...
IDEAL
2004
Springer
14 years 1 months ago
2004
Springer
A Gaussian mixture model (GMM) estimates a probability density function using the expectation-maximization algorithm. However, it may lead to a poor performance or inconsistency. T...
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...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...