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Approximate Reasoning trades completeness and soundness for increasing speed.
The focus of this project is to develop scalable reasoning techniques for OWL ontologies.
A test suite and benchmark for exact Euclidean distance transform algorithms
used in Image Processing and computational geometry. It evaluates the
exactness and speed of algorithms for a large number of test
cases. Results can be visualized in Scilab.