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  On the Pre-Image Problem in Kernel Methods

BakIr, G., Schölkopf, B., & Weston, J. (2007). On the Pre-Image Problem in Kernel Methods. In G. Camps-Valls, J. Rojo-Álvarez, & M. Martínez-Ramón (Eds.), Kernel Methods in Bioengineering, Signal and Image Processing (pp. 284-302). Hershey, PA, USA: Idea Group Publishing.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-CEFB-1 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-ED04-E
Genre: Book Chapter

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 Creators:
BakIr, G1, 2, Author              
Schölkopf, B1, 2, Author              
Weston, J, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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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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 Dates: 2007-01
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 3608
DOI: 10.4018/978-1-59904-042-4.ch012
 Degree: -

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Title: Kernel Methods in Bioengineering, Signal and Image Processing
Source Genre: Book
 Creator(s):
Camps-Valls, G, Editor
Rojo-Álvarez, JL, Editor
Martínez-Ramón, M, Editor
Affiliations:
-
Publ. Info: Hershey, PA, USA : Idea Group Publishing
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 284 - 302 Identifier: ISBN: 1-59904-044-1