502 search results - page 32 / 101 » On the Consistency of Bayesian Function Approximation Using ... |
AI
2010
Springer
13 years 8 months ago
2010
Springer
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
AMAST
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. We present a separate compositional analysis for objectoriented languages. We show how a generic static analysis of a context that uses an object can be split into two se...
CVPR
2000
IEEE
14 years 9 months ago
2000
IEEE
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
HUMO
2007
Springer
14 years 1 months ago
2007
Springer
We present a method to simultaneously estimate 3d body pose and action categories from monocular video sequences. Our approach learns a lowdimensional embedding of the pose manifol...