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» On Computing Functions with Uncertainty
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SEAL
2010
Springer
13 years 6 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
CVPR
2005
IEEE
14 years 9 months ago
Feature Uncertainty Arising from Covariant Image Noise
Uncertainty estimates related to the position of image features are seeing increasing use in several computer vision problems. Many of these have been recast from standard least s...
R. Matt Steele, Christopher O. Jaynes
CDC
2009
IEEE
150views Control Systems» more  CDC 2009»
14 years 8 days ago
Cooperative adaptive sampling via approximate entropy maximization
— This work deals with a group of mobile sensors sampling a spatiotemporal random field whose mean is unknown and covariance is known up to a scaling parameter. The Bayesian pos...
Rishi Graham, Jorge Cortés
ICPR
2004
IEEE
14 years 8 months ago
Motion Analysis Using Frame Differences with Spatial Gradient Measures
The paper considers making inferences about the underlying true 2-D motion when only evaluations of a local block-based cost function, the mean of absolute or squared differences,...
Pekka Sangi, Janne Heikkilä, Olli Silvé...
WS
2008
ACM
13 years 7 months ago
Managing uncertainty and vagueness in description logics for the Semantic Web
Ontologies play a crucial role in the development of the Semantic Web as a means for defining shared terms in web resources. They are formulated in web ontology languages, which a...
Thomas Lukasiewicz, Umberto Straccia