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» Incremental Probabilistic Inference
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UAI
1997
13 years 10 months ago
Nonuniform Dynamic Discretization in Hybrid Networks
We consider probabilistic inference in general hybrid networks, which include continuous and discrete variables in an arbitrary topology. We reexamine the question of variable dis...
Alexander V. Kozlov, Daphne Koller
ICASSP
2010
IEEE
13 years 9 months ago
Prior-based vanishing point estimation through global perspective structure matching
In this paper, we describe a prior-based vanishing point estimation method through global perspective structure matching (GPSM). In contrast to the traditional approaches which re...
Qi Wu, Wende Zhang, Tsuhan Chen, B. V. K. Vijaya K...
ICDE
2010
IEEE
241views Database» more  ICDE 2010»
13 years 9 months ago
Privometer: Privacy protection in social networks
— The increasing popularity of social networks, such as Facebook and Orkut, has raised several privacy concerns. Traditional ways of safeguarding privacy of personal information ...
Nilothpal Talukder, Mourad Ouzzani, Ahmed K. Elmag...
CORR
2008
Springer
129views Education» more  CORR 2008»
13 years 8 months ago
Polynomial Linear Programming with Gaussian Belief Propagation
Abstract--Interior-point methods are state-of-the-art algorithms for solving linear programming (LP) problems with polynomial complexity. Specifically, the Karmarkar algorithm typi...
Danny Bickson, Yoav Tock, Ori Shental, Danny Dolev
PAMI
2006
147views more  PAMI 2006»
13 years 8 months ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani