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FDL
2004
IEEE
13 years 11 months ago
Semi-Symbolic Modeling and Analysis of Noise in Heterogeneous Systems
The article describes semi-symbolic methods for the analysis of control and signal processing systems, including static and dynamic uncertainties. This above mentioned semi-symbol...
Christoph Grimm, Wilhelm Heupke, Klaus Waldschmidt
SEAL
2010
Springer
13 years 5 months ago
Bayesian Reliability Analysis under Incomplete Information Using Evolutionary Algorithms
During engineering design, it is often difficult to quantify product reliability because of insufficient data or information for modeling the uncertainties. In such cases, one need...
Rupesh Kumar Srivastava, Kalyanmoy Deb
CGF
2010
128views more  CGF 2010»
13 years 7 months ago
ProbExplorer: Uncertainty-guided Exploration and Editing of Probabilistic Medical Image Segmentation
In this paper, we develop an interactive analysis and visualization tool for probabilistic segmentation results in medical imaging. We provide a systematic approach to analyze, in...
Ahmed Saad, Torsten Möller, Ghassan Hamarneh
CDC
2008
IEEE
109views Control Systems» more  CDC 2008»
14 years 1 months ago
Sensitivity analysis and computational uncertainty with applications to control of nonlinear parabolic partial differential equa
— In this paper we illustrate how sensitivities can be used to provide a practical precursor to dynamic transitions and numerical uncertainty in parameterized nonlinear parabolic...
John A. Burns, Lisa G. Davis
VDA
2010
169views Visualization» more  VDA 2010»
13 years 10 months ago
Techniques for precision-based visual analysis of projected data
The analysis of high-dimensional data is an important, yet inherently difficult problem. Projection techniques such as PCA, MDS, and SOM can be used to map high-dimensional data t...
Tobias Schreck, Tatiana von Landesberger, Sebastia...