Kernel Methods for Implicit Surface Modeling

Giesen, Joachim, Spalinger, Simon, Schölkopf, Bernhard

Dec-31-2005–Neural Information Processing Systems

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

Dec-31-2005

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

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

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