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cvml2011-practical-face-detection

  • Category : Algorithm
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  • Update : 2014-05-18
  • Size : 9.65mb
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  • Author :Hossein
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Introduction - If you have any usage issues, please Google them yourself
face recognition by matlab programming
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cvml2011-practical-face-detection\doc
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.................................\...\index.html
.................................\images
.................................\......\img1.jpg
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.................................\......\negsamples.mat
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.................................\matlab
.................................\......\addsvmpath.m
.................................\......\bbox2rect.m
.................................\......\bboxoverlapval.m
.................................\......\cropbbox.m
.................................\......\exercise.m
.................................\......\meanvarpatchnorm.m
.................................\......\prunebboxes.m
.................................\......\setup.m
.................................\......\showbbox.m
.................................\......\showimage.m
.................................\......\showrect.m
.................................\......\SVM-KM
.................................\......\......\AdaptScalSVM
.................................\......\......\............\costlbfixed.m
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.................................\......\......\............\costwfixed.m
.................................\......\......\............\ExampledemoAdaptScal.m
.................................\......\......\............\ExampleFeatSelAdaptScal.m
.................................\......\......\............\gradlbfixed.m
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.................................\......\......\............\LagrangeUpdate.m
.................................\......\......\............\SigmaUpdate.m
.................................\......\......\............\svmfit.asv
.................................\......\......\............\svmfit.m
.................................\......\......\............\svmfitconj.m
.................................\......\......\contents.m
.................................\......\......\cout.m
.................................\......\......\dataset1.mat
.................................\......\......\dataset2.mat
.................................\......\......\dataset3.mat
.................................\......\......\datasets.m
.................................\......\......\featselreg
.................................\......\......\..........\exfeatselreg1.m
.................................\......\......\..........\FeatSelregalpha.m
.................................\......\......\..........\FeatSelregalphaGD.m
.................................\......\......\..........\FeatSelregalphaGDrandom.m
.................................\......\......\..........\FeatSelreglinearL1.m
.................................\......\......\..........\FeatSelregmargin.m
.................................\......\......\..........\FeatSelregmarginGD.m
.................................\......\......\..........\FeatSelregmarginGDrandom.m
.................................\......\......\..........\FeatSelregr2w2.m
.................................\......\......\..........\FeatSelregr2w2GD.m
.................................\......\......\..........\FeatSelregr2w2GDrandom.m
.................................\......\......\..........\FeatSelregspanbound.m
.................................\......\......\..........\FeatSelregspanboundGD.m
.................................\......\......\..........\FeatSelregspanboundGDrandom.m
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