Kernel Methods for Implicit Surface Modeling

We describe methods for computing an implicit model of a hypersurface that is given only by a finite sampling. The methods work by mapping the sample points into a reproducing kernel Hilbert space and then determining regions in terms of hyperplanes.

• Type: Conference
• Year: 2004
• Where: NIPS
• Authors: Bernhard Schölkopf, Joachim Giesen, Simon Spalinger
• Keywords: Finite Sampling, Implicit Model, NIPS 2004, NIPS 2007, Reproducing Kernel Hilbert Space