Signed distance fields are already a workhorse for implicit geometry, but turning sparse SDF samples back into an explicit surface still leaves room for improvement. A new reconstruction approach ...
Many applications in computational science need to approximate a function based on ?nite data. When the data are in a certain sense “scattered” in their domain, one very powerful technique is radial ...
Dr. James McCaffrey of Microsoft Research explains how to design a radial basis function (RBF) network -- a software system similar to a single hidden layer neural network -- and describes how an RBF ...
A radial basis function network (RBF network) is a software system that's similar to a single hidden layer neural network, explains Dr. James McCaffrey of Microsoft Research, who uses a full C# code ...
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