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}, doi = {10.4018/978-1-59904-042-4.ch012}, month_numeric = {1} } |