1120 search results - page 145 / 224 » Eager Markov Chains |
SAC
2008
ACM
14 years 11 months ago
2008
ACM
Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is ...
167
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CVPR
2009
IEEE
16 years 6 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...
CORR
2008
Springer
14 years 10 months ago
2008
Springer
The capacity of 1-D constraints is given by the entropy of a corresponding stationary maxentropic Markov chain. Namely, the entropy is maximized over a set of probability distribut...
127
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ICST
2010
IEEE
14 years 10 months ago
2010
IEEE
—Markov chains with Labelled Transitions can be used to generate test cases in a model-based approach. These test cases are generated by random walks on the model according to pr...
ICIP
2010
IEEE
14 years 9 months ago
2010
IEEE
This paper proposes a Bayesian approach for estimation of instrument parameter in convex image deconvolution. The parameters of the instrument response (PSF) are jointly estimated...