Kernel Methods for Manifold Estimation

Schölkopf, B

doi:10.1007/978-3-7908-2656-2_36

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Kernel Methods for Manifold Estimation

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Schölkopf, B
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Schölkopf, B. (2004). Kernel Methods for Manifold Estimation. In J. Antoch (Ed.), COMPSTAT 2004: Computational Statistics: 16th Symposium Held in Prague, Czech Republic, 2004 (pp. 441-452).

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-F392-4

Abstract

We describe methods for estimating manifolds in high-dimensional spacs.They work by mapping the data into a reproducing kernel Hilbert space and then determining regions in terms of hyperplanes.