2014
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On the (Un)Suitability of Strict Feature Definitions for Uncertain Data
Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization, Springer, 2014
Abstract
We discuss strategies to successfully work with strict feature definitions such as topology in the presence of noisy/uncertain data. To that end, we review previous work from the literature and identify three strategies: the development of fuzzy analogs to strict feature definitions, the aggregation of features, and the filtering of features. Regarding the latter, we will present a detailed discussion of filtering ridges/valleys and topological structures.