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Main Title: | A Multi-Class Support Vector Machine Based on Scatter Criteria |
Author(s): | Jenssen, Robert Kloft, Marius Zien, Alexander Sonnenburg, Sören Müller, Klaus-Robert |
Type: | Research Paper |
URI: | https://depositonce.tu-berlin.de/handle/11303/11377 http://dx.doi.org/10.14279/depositonce-10264 |
License: | http://rightsstatements.org/vocab/InC/1.0/ |
Abstract: | We re-visit Support Vector Machines (SVMs) and provide a novel interpretation thereof in terms of weighted class means and scatter theory. The gained theoretical insight can be translated into a highly efficient extension to multi-class SVMs: mScatter-SVMs. Numerical simulations reveal that more than an order of magnitude speed-up can be gained while the classification performance remains largely unchanged at the level of the classical one vs. rest and one vs. one implementation of multi-class SVMs. |
Subject(s): | support vector machines mScatter-SVM |
Issue Date: | 2009 |
Date Available: | 15-Jun-2020 |
Language Code: | en |
DDC Class: | 004 Datenverarbeitung; Informatik |
Series: | Forschungsberichte der Fakultät IV - Elektrotechnik und Informatik / Technische Universität Berlin |
Series Number: | 2009-14 |
ISSN: | 1436-9915 |
TU Affiliation(s): | Fak. 4 Elektrotechnik und Informatik |
Appears in Collections: | Technische Universität Berlin » Publications |
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