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ECCV
2000
Springer
16 years 9 days ago
Non-linear Bayesian Image Modelling
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
Christopher M. Bishop, John M. Winn
BMCBI
2010
97views more  BMCBI 2010»
14 years 5 months ago
A semi-parametric Bayesian model for unsupervised differential co-expression analysis
Background: Differential co-expression analysis is an emerging strategy for characterizing disease related dysregulation of gene expression regulatory networks. Given pre-defined ...
Johannes M. Freudenberg, Siva Sivaganesan, Michael...
BMCBI
2007
129views more  BMCBI 2007»
14 years 10 months ago
Inferring cellular networks - a review
In this review we give an overview of computational and statistical methods to reconstruct cellular networks. Although this area of research is vast and fast developing, we show t...
Florian Markowetz, Rainer Spang
77
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HICSS
2010
IEEE
167views Biometrics» more  HICSS 2010»
15 years 5 months ago
Bayesian Networks for the Assessment of the Effect of Urbanization on Stream Macroinvertebrates
It is generally acknowledged that macroinvertebrates are good indicators of water quality in streams, as a number of taxa are sensitive to pollution and integrate their response t...
Kenneth H. Reckhow
NIPS
2004
14 years 11 months ago
Dynamic Bayesian Networks for Brain-Computer Interfaces
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Pradeep Shenoy, Rajesh P. N. Rao