468 search results - page 35 / 94 » A Bayesian framework for Gaussian mixture background modelin... |
ICASSP
2009
IEEE
14 years 10 days ago
2009
IEEE
The Dirichlet process can be used as a nonparametric prior for an infinite-dimensional probability mass function on the parameter space of a mixture model. The set of parameters o...
GANDC
2011
12 years 8 months ago
2011
Copulas have attracted much attention in spatial statistics over the past few years. They are used as a flexible alternative to traditional methods for nonGaussian spatial modelin...
ICIP
2001
IEEE
14 years 10 months ago
2001
IEEE
Gauss mixtures have gained popularity in statistics and statistical signal processing applications for a variety of reasons, including their ability to well approximatea large cla...
ICIP
2005
IEEE
14 years 10 months ago
2005
IEEE
In this paper, we propose a novel automatic framework for variational color image segmentation based on unifying adaptive region information and mixture modelling. We consider a f...
BMCBI
2010
13 years 8 months ago
2010
Background: Mass spectrometry (MS) is an essential analytical tool in proteomics. Many existing algorithms for peptide detection are based on isotope template matching and usually...