694 search results - page 37 / 139 » SMEM Algorithm for Mixture Models |
BMEI
2009
IEEE
14 years 10 months ago
2009
IEEE
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
CSDA
2006
14 years 9 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...
72
Voted
CLASSIFICATION
2007
14 years 9 months ago
2007
Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...
ICASSP
2007
IEEE
15 years 4 months ago
2007
IEEE
Background modeling and subtraction is a fundamental task in many computer vision and video processing applications. We present a novel probabilistic background modeling and subtr...
79
Voted
ICPR
2000
IEEE
15 years 10 months ago
2000
IEEE
In this paper we focus on an interpretation of Gaussian radial basis functions (GRBF) which motivates extensions and learning strategies. Specifically, we show that GRBF regressio...