Nonparametric Models for Uncertainty Visualization

An uncertain (scalar, vector, tensor) field is usually perceived as a discrete random field with a priori unknown probability distributions. To compute derived probabilities, e.g. for the occurrence of certain features, an appropriate probabilistic model has to be selected. The majority of previous...

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Bibliographic Details
Published in:Computer graphics forum Vol. 32; no. 3pt2; pp. 131 - 140
Main Authors: Pöthkow, Kai, Hege, Hans-Christian
Format: Journal Article
Language:English
Published: Oxford, UK Blackwell Publishing Ltd 01.06.2013
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ISSN:0167-7055, 1467-8659
Online Access:Get full text
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