81 search results - page 5 / 17 » Graphical Models, Exponential Families, and Variational Infe... |
103
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BMCBI
2010
14 years 9 months ago
2010
Background: Development of high-throughput methods for measuring DNA interactions of transcription factors together with computational advances in short motif inference algorithms...
112
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ICANN
2010
Springer
14 years 10 months ago
2010
Springer
With the term super-resolution we refer to the problem of reconstructing an image of higher resolution than that of unregistered and degraded observations. Typically, the reconstru...
CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
We consider the problem of learning multiscale graphical models. Given a collection of variables along with covariance specifications for these variables, we introduce hidden var...
PAMI
2008
14 years 9 months ago
2008
Variational Bayesian Expectation-Maximization (VBEM), an approximate inference method for probabilistic models based on factorizing over latent variables and model parameters, has ...