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JAL
2008
83views more  JAL 2008»
13 years 5 months ago
Objective Bayesian probabilistic logic
This paper develops connections between objective Bayesian epistemology--which holds that the strengths of an agent's beliefs should be representable by probabilities, should...
Jon Williamson
CVPR
2005
IEEE
14 years 7 months ago
Kernel-Based Bayesian Filtering for Object Tracking
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
Bohyung Han, Ying Zhu, Dorin Comaniciu, Larry S. D...
IPMI
2003
Springer
14 years 6 months ago
Bayesian Multimodality Non-rigid Image Registration via Conditional Density Estimation
Abstract. We present a Bayesian multimodality non-rigid image registration method. Since the likelihood is unknown in the general multimodality setting, we use a density estimator ...
Jie Zhang, Anand Rangarajan
LFCS
2009
Springer
13 years 11 months ago
Canonical Signed Calculi, Non-deterministic Matrices and Cut-Elimination
Canonical propositional Gentzen-type calculi are a natural class of systems which in addition to the standard axioms and structural rules have only logical rules where exactly one ...
Arnon Avron, Anna Zamansky
IJPRAI
1998
100views more  IJPRAI 1998»
13 years 4 months ago
Obtaining The Correspondence between Bayesian and Neural Networks
We present in this paper a novel method for eliciting the conditional probability matrices needed for a Bayesian network with the help of a neural network. We demonstrate how we c...
Athena Stassopoulou, Maria Petrou