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On the Pre-Image Problem in Kernel Methods

On the Pre-Image Problem in Kernel Methods

Gökhan Bakir, Bernhard Schölkopf, Jason Weston
Copyright: © 2007 |Pages: 19
ISBN13: 9781599040424|ISBN10: 1599040425|ISBN13 Softcover: 9781599040431|EISBN13: 9781599040448
DOI: 10.4018/978-1-59904-042-4.ch012
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MLA

Bakir, Gökhan, et al. "On the Pre-Image Problem in Kernel Methods." Kernel Methods in Bioengineering, Signal and Image Processing, edited by Gustavo Camps-Valls, et al., IGI Global, 2007, pp. 284-302. https://doi.org/10.4018/978-1-59904-042-4.ch012

APA

Bakir, G., Schölkopf, B., & Weston, J. (2007). On the Pre-Image Problem in Kernel Methods. In G. Camps-Valls, J. Rojo-Alvarez, & M. Martinez-Ramon (Eds.), Kernel Methods in Bioengineering, Signal and Image Processing (pp. 284-302). IGI Global. https://doi.org/10.4018/978-1-59904-042-4.ch012

Chicago

Bakir, Gökhan, Bernhard Schölkopf, and Jason Weston. "On the Pre-Image Problem in Kernel Methods." In Kernel Methods in Bioengineering, Signal and Image Processing, edited by Gustavo Camps-Valls, Jose Luis Rojo-Alvarez, and Manel Martinez-Ramon, 284-302. Hershey, PA: IGI Global, 2007. https://doi.org/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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