759 search results - page 57 / 152 » Structured Learning with Approximate Inference |
ECCV
2004
Springer
15 years 3 months ago
2004
Springer
Stochastic tracking of structured models in monolithic state spaces often requires modeling complex distributions that are difficult to represent with either parametric or sample...
NECO
2008
14 years 9 months ago
2008
In signal restoration by Bayesian inference, one typically uses a parametric model of the prior distribution of the signal. Here, we consider how the parameters of a prior model s...
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SIAMSC
2011
14 years 4 months ago
2011
We consider the problem of estimating the uncertainty in large-scale linear statistical inverse problems with high-dimensional parameter spaces within the framework of Bayesian inf...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Bayes statistics and statistical physics have the common mathematical structure, where the log likelihood function corresponds to the random Hamiltonian. Recently, it was discovere...
ECCV
2002
Springer
15 years 11 months ago
2002
Springer
Abstract. This paper considers the dynamic tree (DT) model, first introduced in [1]. A dynamic tree specifies a prior over structures of trees, each of which is a forest of one or ...