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IANDC
2006
103views more  IANDC 2006»
15 years 3 months ago
Bisimulation and cocongruence for probabilistic systems
We introduce a new notion of bisimulation, called event bisimulation on labelled Markov processes (LMPs) and compare it with the, now standard, notion of probabilistic bisimulatio...
Vincent Danos, Josee Desharnais, François L...
148
Voted
CVPR
2008
IEEE
16 years 5 months ago
Estimating camera response functions using probabilistic intensity similarity
We propose a method for estimating camera response functions using a probabilistic intensity similarity measure. The similarity measure represents the likelihood of two intensity ...
Jun Takamatsu, Yasuyuki Matsushita, Katsushi Ikeuc...
113
Voted
MICCAI
2006
Springer
16 years 4 months ago
Probabilistic Brain Atlas Encoding Using Bayesian Inference
This paper addresses the problem of creating probabilistic brain atlases from manually labeled training data. We propose a general mesh-based atlas representation, and compare diff...
Koen Van Leemput
KDD
2005
ACM
86views Data Mining» more  KDD 2005»
16 years 3 months ago
Probabilistic workflow mining
In several organizations, it has become increasingly popular to document and log the steps that makeup a typical business process. In some situations, a normative workflow model o...
Ricardo Silva, Jiji Zhang, James G. Shanahan
138
Voted
ICDE
2010
IEEE
227views Database» more  ICDE 2010»
16 years 3 months ago
Approximate Confidence Computation in Probabilistic Databases
Abstract-- This paper introduces a deterministic approximation algorithm with error guarantees for computing the probability of propositional formulas over discrete random variable...
Dan Olteanu, Jiewen Huang, Christoph Koch