Description: The goal of this session is to get basic practical experience with SVM classification as well as with the visual object category detection in still images. We will consider a simple face detector based on the common “scanning-window” technique.
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File list (Check if you may need any files):
SVM-face-detection\doc
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..................\...\index.html
..................\images
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..................\......\negsamples.mat
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..................\matlab
..................\......\addsvmpath.m
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..................\......\......\dataset1.mat
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..................\......\......\..........\FeatSelregspanbound.m
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..................\......\......\..........\FeatSelregspanboundGDrandom.m
..................\......\......\..........\r2alpharegL2.m
..................\......\......\..........\spanestimateregL2.m
..................\......\......\FeatureSelection
..................\......\......\................\featselcorrcoeff.m
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..................\......\......\................\FeatSelr2w2diff.m
..................\......\......\fileaccess.m
..................\......\......\functioneval.m
..................\......\......\gda.m
..................\......\......\givrot.m
..................\......\......\kbp
..................\......\......\...\BuildTrapScale.m
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