145 search results - page 21 / 29 » de Finetti Priors using Markov chain Monte Carlo computation... |
ICPR
2008
IEEE
15 years 5 months ago
2008
IEEE
In this paper, we present a new approach based on Markov Chain Monte Carlo(MCMC) for the stable monocular tracking of variable interacting targets in 3D space. The crucial problem...
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CVPR
2009
IEEE
16 years 5 months ago
2009
IEEE
A Bayesian marked point process (MPP) model is developed
to detect and count people in crowded scenes. The
model couples a spatial stochastic process governing number
and placem...
IPMI
2009
Springer
15 years 11 months ago
2009
Springer
This paper presents a method for estimating uncertainty in MRI-based brain region delineations provided by fully-automated segmentation methods. In large data sets, the uncertainty...
SAC
2008
ACM
14 years 10 months ago
2008
ACM
We consider analysis of complex stochastic models based upon partial information. MCMC and reversible jump MCMC are often the methods of choice for such problems, but in some situ...
CSB
2003
IEEE
15 years 4 months ago
2003
IEEE
Physical map reconstruction in the presence of errors is a central problem in genetics of high computational complexity. A parallel genetic algorithm for a maximum likelihood esti...