On the Pre-Image Problem in Kernel Methods

On the Pre-Image Problem in Kernel Methods

Gökhan Bakir (Max Planck Institute for Biological Cybernetics, Germany), Bernhard Schölkopf (Max Planck Institute for Biological Cybernetics, Germany) and Jason Weston (NEC Labs America, USA)
Copyright: © 2007 |Pages: 19
DOI: 10.4018/978-1-59904-042-4.ch012
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Abstract

In this chapter, we are concerned with the problem of reconstructing patterns from their representation in feature space, known as the pre-image problem. We review existing algorithms and propose a learning-based approach. All algorithms are discussed regarding their usability and complexity, and evaluated on an image denoising application.

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