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Image Classification and Retrieval with Kernel Methods

Image Classification and Retrieval with Kernel Methods

Francesca Odone, Alessandro Verri
Copyright: © 2007 |Pages: 21
ISBN13: 9781599040424|ISBN10: 1599040425|ISBN13 Softcover: 9781599040431|EISBN13: 9781599040448
DOI: 10.4018/978-1-59904-042-4.ch014
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MLA

Odone, Francesca, and Alessandro Verri. "Image Classification and Retrieval with Kernel Methods." Kernel Methods in Bioengineering, Signal and Image Processing, edited by Gustavo Camps-Valls, et al., IGI Global, 2007, pp. 325-345. https://doi.org/10.4018/978-1-59904-042-4.ch014

APA

Odone, F. & Verri, A. (2007). Image Classification and Retrieval with Kernel Methods. In G. Camps-Valls, J. Rojo-Alvarez, & M. Martinez-Ramon (Eds.), Kernel Methods in Bioengineering, Signal and Image Processing (pp. 325-345). IGI Global. https://doi.org/10.4018/978-1-59904-042-4.ch014

Chicago

Odone, Francesca, and Alessandro Verri. "Image Classification and Retrieval with Kernel Methods." In Kernel Methods in Bioengineering, Signal and Image Processing, edited by Gustavo Camps-Valls, Jose Luis Rojo-Alvarez, and Manel Martinez-Ramon, 325-345. Hershey, PA: IGI Global, 2007. https://doi.org/10.4018/978-1-59904-042-4.ch014

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Abstract

In this chapter we review some kernel methods useful for image classification and retrieval applications. Starting from the problem of constructing appropriate image representations, we describe in depth and comment on the main properties of various kernel engineering approaches that have been recently proposed in the computer vision and machine learning literature for solving a number of image classification problems. We distinguish between kernel functions applied to images as a whole and kernel functions looking at image features. We conclude by presenting some current work and discussing open issues.

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