SVM toolbox for image processing in the classification and identification of learners have a great help to me. To share their happiness!

svm matlab toolbox
..................\binomial.m
..................\centrefig.m
..................\cmap.mat
..................\Contents.m
..................\Examples
..................\........\Classification
..................\........\..............\iris1v23.mat
..................\........\..............\iris2v13.mat
..................\........\..............\iris3v12.mat
..................\........\..............\linsep.mat
..................\........\..............\nlinsep.mat
..................\........\Regression
..................\........\..........\example.mat
..................\........\..........\sinc.mat
..................\........\..........\titanium.mat
..................\newsvm.zip
..................\nobias.m
..................\Optimiser
..................\.........\Makefile
..................\.........\pr_loqo.c
..................\.........\pr_loqo.h
..................\.........\qp.c
..................\.........\qp.dll
..................\qp.dll
..................\README
..................\softmargin.m
..................\svc.m
..................\svcerror.m
..................\svcinfo.m
..................\svcoutput.m
..................\svcplot.m
..................\svdatanorm.m
..................\svkernel.m
..................\svr.m
..................\svrerror.m
..................\svroutput.m
..................\svrplot.m
..................\svtol.m
..................\uiclass.m
..................\uiclass.mat
..................\uiregress.m
..................\uiregress.mat

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