Nov 30, 2005 · We discuss properties of the signed distance function that can be exploited in classification algorithms. We develop simple versions of such ...
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This work proposes to use reconstruction of the signed distance function (SDF) as a basis for binary classification, and develops simple versions of such ...
We discuss properties of the signed distance function that can be exploited in classification algorithms. We develop simple versions of such classifiers and ...
In [2] we proposed an alternative tool for classification, the Signed Distance Function (SDF), that measures the signed distance from the data to the boundary ...
Abstract: We compare methods based on the Signed Distance Function (SDF) a new tool for binary classification with standard Support Vector Machine (SVM) methods ...
We compare methods based on the Signed Distance Function (SDF) a new tool for binary classification with standard Support Vector Machine (SVM) methods.
We compare methods based on the Signed Distance Function (SDF) a new tool for binary classification with standard Support Vector Machine (SVM) methods.
Erik M. Boczko, Todd R. Young, Minhui Zie, Di Wu: Comparison of Binary Classification Based on Signed Distance Functions with Support Vector Machines.
Dec 16, 2008 · Abstract: We investigate the performance of a simple signed distance function (SDF) based method by direct comparison with standard SVM ...
We compare methods based on the Signed Distance Function (SDF) a new tool ... The Signed Distance Function: A New Tool for Binary Classification · E. Boczko ...