AITopics | Spalinger, Simon

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Spalinger, Simon

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Kernel Methods for Implicit Surface Modeling

Giesen, Joachim, Spalinger, Simon, Schölkopf, Bernhard

Neural Information Processing SystemsDec-31-2005

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 regionsin terms of hyperplanes.

artificial intelligence, machine learning, sample point, (16 more...)

Neural Information Processing Systems

Country:

North America > United States (0.29)
Europe > Switzerland > Zürich > Zürich (0.14)
Europe > Germany > Baden-Württemberg > Tübingen Region > Tübingen (0.14)

Technology: Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning > Support Vector Machines (0.31)

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