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» On Computing Functions with Uncertainty
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SUM
2007
Springer
14 years 3 months ago
Combining Uncertain Outputs from Multiple Ontology Matchers
Abstract. An ontology matching method (or a matcher) aims at matching every entity (or concept) in one ontology to the most suitable entity (or entities) in another ontology. Usual...
Ying Wang, Weiru Liu, David A. Bell
ICRA
2006
IEEE
111views Robotics» more  ICRA 2006»
14 years 3 months ago
Placement and Distributed Deployment of Sensor Teams for Triangulation based Localization
— We address the problem of placing a sensor network so as to minimize the uncertainty in estimating the position of targets. The novelty of our formulation is in the sensing mod...
Volkan Isler
VISUALIZATION
2005
IEEE
14 years 2 months ago
Statistically Quantitative Volume Visualization
Visualization users are increasingly in need of techniques for assessing quantitative uncertainty and error in the images produced. Statistical segmentation algorithms compute the...
Joe Michael Kniss, Robert L. Van Uitert Jr., Abrah...
ICRA
2002
IEEE
94views Robotics» more  ICRA 2002»
14 years 2 months ago
Weighted Range Sensor Matching Algorithms for Mobile Robot Displacement Estimation
This paper introduces a “weighted” matching algorithm to estimate a robot’s planar displacement by matching twodimensional range scans. The influence of each scan point on ...
Samuel T. Pfister, Kristopher L. Kriechbaum, Sterg...
NN
2006
Springer
163views Neural Networks» more  NN 2006»
13 years 9 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine