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» Modeling Discriminative Global Inference
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APGV
2010
ACM
266views Visualization» more  APGV 2010»
13 years 11 months ago
Horizon estimation: perceptual and computational experiments
The human visual system is able to quickly and robustly infer a wealth of scene information – the scene "gist" – already after 100 milliseconds of image presentation...
Christian Herdtweck, Christian Wallraven
ECCV
2008
Springer
14 years 9 months 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
METMBS
2003
255views Mathematics» more  METMBS 2003»
13 years 8 months ago
Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
Constantin F. Aliferis, Ioannis Tsamardinos, Alexa...
ECAI
2010
Springer
13 years 5 months ago
Continuous Conditional Random Fields for Regression in Remote Sensing
Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...
Vladan Radosavljevic, Slobodan Vucetic, Zoran Obra...
NAR
2008
114views more  NAR 2008»
13 years 7 months ago
ENDEAVOUR update: a web resource for gene prioritization in multiple species
ENDEAVOUR (http://www.esat.kuleuven.be/endeavour web; this web site is free and open to all users and there is no login requirement) is a web resource for the prioritization of ca...
Léon-Charles Tranchevent, Roland Barriot, S...