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» Cuts in Bayesian graphical models
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NIPS
2004
15 years 2 days ago
Hierarchical Bayesian Inference in Networks of Spiking Neurons
There is growing evidence from psychophysical and neurophysiological studies that the brain utilizes Bayesian principles for inference and decision making. An important open quest...
Rajesh P. N. Rao
EGH
2007
Springer
15 years 4 months ago
Programmable shaders for deformation rendering
In this paper, we present a method for rendering deformations as part of the programmable shader pipeline of contemporary Graphical Processing Units. In our method, we allow gener...
Carlos D. Correa, Deborah Silver
ECCV
2008
Springer
16 years 17 days ago
Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
Cassio Polpo de Campos, Yan Tong, Qiang Ji
BVAI
2007
Springer
15 years 4 months ago
The Bayesian Draughtsman: A Model for Visuomotor Coordination in Drawing
Abstract. In this article we present a model of realistic drawing accounting for visuomotor coordination, namely the strategies adopted to coordinate the processes of eye and hand ...
Ruben Coen Cagli, Paolo Coraggio, Paolo Napoletano...

Publication
404views
15 years 7 months ago
Bayesian variable order Markov models.
We present a simple, effective generalisation of variable order Markov models to full online Bayesian estimation. The mechanism used is close to that employed in context tree wei...
Christos Dimitrakakis