📄 demo_ransac.m
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% (c) B. Schoelkopf 1998
%f = figure(1);
%close(f);
f = figure(1);
set(f,'Position',[50 200 800 600],'Name','Support Vector Classifier');
%set(f,'Position',[0 300 567 467]);
clf;
clear;
global C;
global kernel;
global deg;
kernel = 'rbf';
deg = 0.1; % the constant in exp(|x-y|^2/deg) or (x.y)^deg
C=50 ; % upper bound (regularization)
% collect user data
patterns=[];
labels=[];
%patterns=loadsn('pats.mat');
%labels=loadsn('labs.mat');
while 1
[patterns,labels] = click_data5(patterns,labels);
[alpha, b, rvect, rweight, rthresh, discrepancy] = demo_red_train(patterns, labels);
demo_red_output(patterns, labels, alpha, b, rvect, rweight, rthresh, discrepancy, 1, 1);
end
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