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ICPR
2008
IEEE
16 years 24 days ago
Improving Bayesian Network parameter learning using constraints
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
Cassio Polpo de Campos, Qiang Ji
CORR
2008
Springer
75views Education» more  CORR 2008»
15 years 6 months ago
A new probabilistic transformation of belief mass assignment
In this paper, we propose in Dezert-Smarandache Theory (DSmT) framework, a new probabilistic transformation, called DSmP, in order to build a subjective probability measure from an...
Jean Dezert, Florentin Smarandache
TSMC
2010
15 years 1 months ago
Credal Semantics of Bayesian Transformations in Terms of Probability Intervals
In this paper we propose a credal representation of the interval probability associated with a belief function (b.f.), and show how it relates to several classical Bayesian transfo...
Fabio Cuzzolin
ISBI
2004
IEEE
16 years 7 months ago
Model Based Symmetric Information Theoretic Large Deformation Multi-Modal Image Registration
This paper presents a Bayesian framework for generating inverse-consistent inter-subject large deformation transformations between two multi-modal image sets of the brain. In this...
Peter Lorenzen, Brad Davis, Sarang C. Joshi
FPL
2001
Springer
88views Hardware» more  FPL 2001»
15 years 10 months ago
FPGA-Based Discrete Wavelet Transforms System
Although FPGA technology offers the potential of designing high performance systems at low cost, its programming model is prohibitively low level. To allow a novice signal/image pr...
Mokhtar Nibouche, Ahmed Bouridane, Fionn Murtagh, ...