D2C-SVM Matlab (v 1.0) Manual

Short Description
This short manual is an. attempt to help the user with installing and running the Matlab GUI interface use of the. D2CSVM training package and to introduce …

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Content
D2C-SVM Matlab (v 1.0) Manual
By D. Lai ?Copyright 2006.
Department of Electrical and Electronic Engineering,
University of Melbourne, Parkville Campus, Melbourne, Australia.
Email: d.lai@ee.unimelb.edu.au.
Figure 1: Easy to use GUI interface.
Introduction
Welcome to the Matlab GUI interface written for easy use of the D2C-SVM software for
training Support Vector Machines (SVM). What is SVM? SVM is a function estimation
technique based on Statistical Learning Theory (1970), introduced by V. Vapnik since the
early 1990s. The standard SVM is a binary classifier which has found widespread use in
pattern recognition problems such as image and audio recognition, handwriting
recognition, medicine, science, finance and so on. For an introduction to SVM theory,
one can try the following referencesa) Cristianini, N. and Shawe-Taylor, J., An introduction to Support Vector Machines :
and other kernel-based learning methods, Cambridge University Press, New York,
2000.
b) Vapnik, V. N., The nature of statistical learning theory, Springer, New York,
2000.
D2C-SVM is yet another SVM training package which implements a heuristic training
algorithm for improving the training efficiency of the SVM. This short manual is an
attempt to help the user with installing and running the Matlab GUI interface use of the
D2CSVM training package and to introduce the user to the usage of the SVM as an easy
to use pattern recognition tool.
Installation and System Requirements
D2CMatlab v 1.0 comes in a single zip file named D2CMatlab.zip which can be
downloaded from
http://www.ee.unimelb.edu.au/people/dlai/
This first version is intended to be used with the D2C-SVM classifier package and is
included in the zip file. The user needs to have Matlab v 6.01 and above installed in order
to run the GUI file. Generally, the latest computers running of Pentium IV with more
than 256 MB would have no problems in running this software. Earlier PCs shouldn’t
suffer either, just…