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On the Pre-Image Problem in Kernel Methods

2007

Book Chapter

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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.

Author(s): BakIr, G. and Schölkopf, B. and Weston, J.
Book Title: Kernel Methods in Bioengineering, Signal and Image Processing
Pages: 284-302
Year: 2007
Month: January
Day: 0
Editors: G Camps-Valls and JL Rojo-\'{A}lvarez and M Mart\'{i}nez-Ram\'{o}n
Publisher: Idea Group Publishing

Department(s): Empirical Inference
Bibtex Type: Book Chapter (inbook)

Address: Hershey, PA, USA
DOI: 10.4018/978-1-59904-042-4.ch012
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

BibTex

@inbook{3608,
  title = {On the Pre-Image Problem in Kernel Methods},
  author = {BakIr, G. and Sch{\"o}lkopf, B. and Weston, J.},
  booktitle = {Kernel Methods in Bioengineering, Signal and Image Processing},
  pages = {284-302},
  editors = {G Camps-Valls and JL Rojo-\'{A}lvarez and M Mart\'{i}nez-Ram\'{o}n},
  publisher = {Idea Group Publishing},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  address = {Hershey, PA, USA},
  month = jan,
  year = {2007},
  doi = {10.4018/978-1-59904-042-4.ch012},
  month_numeric = {1}
}