468 search results - page 35 / 94 » A Bayesian framework for Gaussian mixture background modelin... |
112
Voted
ICASSP
2009
IEEE
15 years 4 months 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...
117
Voted
GANDC
2011
14 years 4 days 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...
96
Voted
ICIP
2001
IEEE
16 years 2 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...
135
click to vote
ICIP
2005
IEEE
16 years 2 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...
105
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BMCBI
2010
15 years 18 days 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...