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» Modeling Redundancy: Quantitative and Qualitative Models
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MICCAI
2008
Springer
14 years 10 months ago
Kinetic Modeling Based Probabilistic Segmentation for Molecular Images
Abstract. We propose a semi-supervised, kinetic modeling based segmentation technique for molecular imaging applications. It is an iterative, self-learning algorithm based on uncer...
Ahmed Saad, Benjamin Smith 0002, Ghassan Hamarneh,...
FORMATS
2004
Springer
14 years 2 months ago
Symbolic Model Checking for Probabilistic Timed Automata
Probabilistic timed automata are timed automata extended with discrete probability distributions, and can be used to model timed randomised protocols or faulttolerant systems. We ...
Marta Z. Kwiatkowska, Gethin Norman, Jeremy Sprost...
IEEEARES
2006
IEEE
14 years 3 months ago
Defense trees for economic evaluation of security investments
In this paper we present a mixed qualitative and quantitative approach for evaluation of Information Technology (IT) security investments. For this purpose, we model security scen...
Stefano Bistarelli, Fabio Fioravanti, Pamela Peret...
DAGM
2008
Springer
13 years 10 months ago
Model-Based Motion Capture for Crash Test Video Analysis
Abstract. In this work, we propose a model-based approach for estimating the 3D position and orientation of a dummy's head for crash test video analysis. Instead of relying on...
Juergen Gall, Bodo Rosenhahn, Stefan Gehrig, Hans-...
CIDM
2009
IEEE
14 years 3 months ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...