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  Normalization in Support Vector Machines

Graf, A., & Borer, S. (2001). Normalization in Support Vector Machines. In B. Radig, & S. Florczyk (Eds.), Pattern Recognition: 23rd DAGM Symposium Munich, Germany, September 12–14, 2001 (pp. 277-282). Berlin, Germany: Springer.

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 Creators:
Graf, ABA1, 2, Author              
Borer, S, Author
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

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 Abstract: This article deals with various aspects of normalization in the context of Support Vector Machines. We consider fist normalization of the vectors in the input space and point out the inherent limitations. A natural extension to the feature space is then represented by the kernel function normalization. A correction of the position of the Optimal Separating Hyperplane is subsequently introduced so as to suit better these normalized kernels. Numerical experiments finally evaluate the different approaches.

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 Dates: 2001-09
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/3-540-45404-7_37
BibTex Citekey: 305
 Degree: -

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Title: 23rd DAGM Symposium
Place of Event: München, Germany
Start-/End Date: 2001-09-12 - 2001-09-14

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Title: Pattern Recognition: 23rd DAGM Symposium Munich, Germany, September 12–14, 2001
Source Genre: Proceedings
 Creator(s):
Radig, B, Editor
Florczyk, S, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 277 - 282 Identifier: ISBN: 3-540-45404-7

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 2191 Sequence Number: - Start / End Page: - Identifier: -