On the Pre-Image Problem in Kernel Methods

2007

Book Chapter

ei


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},
  month_numeric = {1}
}