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» Computation with imprecise probabilities
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IJAR
2006
98views more  IJAR 2006»
15 years 4 months ago
Inference in hybrid Bayesian networks with mixtures of truncated exponentials
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for solving hybrid Bayesian networks. Any probability density function can be approximated...
Barry R. Cobb, Prakash P. Shenoy
JMLR
2006
92views more  JMLR 2006»
15 years 4 months ago
Linear Programs for Hypotheses Selection in Probabilistic Inference Models
We consider an optimization problem in probabilistic inference: Given n hypotheses Hj, m possible observations Ok, their conditional probabilities pk j, and a particular Ok, selec...
Anders Bergkvist, Peter Damaschke, Marcel Lüt...
PAMI
2002
124views more  PAMI 2002»
15 years 4 months ago
Information Theoretic Sensor Data Selection for Active Object Recognition and State Estimation
We introduce a formalism for optimal sensor parameter selection for iterative state estimation in static systems. Our optimality criterion is the reduction of uncertainty in the st...
Joachim Denzler, Christopher M. Brown
SIGMETRICS
2002
ACM
142views Hardware» more  SIGMETRICS 2002»
15 years 4 months ago
Probabilistic scalable P2P resource location services
Scalable resource discovery services form the core of directory and other middleware services. Scalability requirements preclude centralized solutions. The need to have directory ...
Daniel A. Menascé, Lavanya Kanchanapalli
ICDAR
2009
IEEE
15 years 2 months ago
Unconstrained Handwritten Document Layout Extraction Using 2D Conditional Random Fields
The paper describes a new approach using a Conditional Random Fields (CRFs) to extract physical and logical layouts in unconstrained handwritten letters such as those sent by indi...
Florent Montreuil, Emmanuele Grosicki, Laurent Heu...