Kernel methods and dimensionality reduction

Schölkopf, B

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Kernel methods and dimensionality reduction

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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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http://lear.inrialpes.fr/people/schmid/sicile/wreport.pdf
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Citation

Schölkopf, B. (2003). Kernel methods and dimensionality reduction. Talk presented at Designing Tomorrow' s Category-Level 3D Object Recognition Systems: An International Workshop. Taormina, Italy. 2003-09-08.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-DE1A-D

Abstract

The talk will start with a short tutorial on kernel methods
in machine learning. Following this, we will describe how some recent methods for nonlinear dimensionality reduction can be
viewed as kernel methods.