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» On Computing Functions with Uncertainty
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EVOW
2006
Springer
13 years 11 months ago
A Preliminary Study on Handling Uncertainty in Indicator-Based Multiobjective Optimization
Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...
Matthieu Basseur, Eckart Zitzler
ICPR
2008
IEEE
14 years 8 months ago
Uncertainty minimization in multi-sensor localization systems using model selection theory
Belief propagation methods are the state-of-the-art with multi-sensor state localization problems. However, when localization applications have to deal with multi-modality sensors...
Andreas Koschan, David L. Page, Hamparsum Bozdogan...
DAGM
2010
Springer
13 years 8 months ago
Uncertainty Driven Multi-scale Optimization
This paper proposes a new multi-scale energy minimization algorithm which can be used to efficiently solve large scale labelling problems in computer vision. The basic modus operan...
Pushmeet Kohli, Victor S. Lempitsky, Carsten Rothe...
ICCAD
2003
IEEE
140views Hardware» more  ICCAD 2003»
14 years 4 months ago
Block-based Static Timing Analysis with Uncertainty
Static timing analysis is a critical step in design of any digital integrated circuit. Technology and design trends have led to significant increase in environmental and process v...
Anirudh Devgan, Chandramouli V. Kashyap
CG
2002
Springer
13 years 7 months ago
Visualizing scalar volumetric data with uncertainty
Increasingly, more importance is placed on the uncertainty information of data being displayed. This paper focuses on techniques for visualizing 3D scalar data sets with correspon...
Suzana Djurcilov, Kwansik Kim, Pierre Lermusiaux, ...