454 search results - page 46 / 91 » A Markov Random Field Model of Microarray Gridding |
147
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ICIC
2005
Springer
15 years 9 months ago
2005
Springer
Rather than the difficulties of highly non-linear and non-Gaussian observation process and the state distribution in single target tracking, the presence of a large, varying number...
127
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ICIP
2000
IEEE
2000
IEEE
Motion Estimation Using Adaptive Blocksize Observation Model and Efficient Multiscale Regularization
16 years 5 months ago
Bayesian motion estimation requires two pdf models: observation model and motion field (prior) model. The optimization process for this method uses sequential approach, e.g. simul...
219
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Book
"A random or stochastic process is a mathematical model for a phenomenon
that evolves in time in an unpredictable manner from the viewpoint of the
observer. The phenomenon m...
219
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IVC
2008
15 years 3 months ago
2008
Reversible jump Markov chain Monte Carlo (RJMCMC) is a recent method which makes it possible to construct reversible Markov chain samplers that jump between parameter subspaces of...
144
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TSP
2008
15 years 3 months ago
2008
Markov random fields are designed to represent structured dependencies among large collections of random variables, and are well-suited to capture the structure of real-world sign...