Introduction - If you have any usage issues, please Google them yourself
Very useful tool for various image recognition, which has a lot of function can be directly used, a very convenient
Packet : 121114117200545102941.zip filelist
svmclassnpa.m
svmkernel.m
svmkernelOLD.m
svmmulticlass.m
svmmulticlassoneagainstall.m
svmmulticlassoneagainstone.m
svmmultival.m
svmmultivaloneagainstone.m
svmnureg.m
svmoneclass.m
svmoneclassval.m
svmreg.m
svmregLS.m
svmval.m
tensorwavkernel.m
waveletfunction.m
waveletspan.m
AdaptScalSVM/costlbfixed.m
AdaptScalSVM/costlfixed.m
AdaptScalSVM/costwbfixed.m
AdaptScalSVM/costwfixed.m
AdaptScalSVM/ExampledemoAdaptScal.m
AdaptScalSVM/ExampleFeatSelAdaptScal.m
AdaptScalSVM/gradlbfixed.m
AdaptScalSVM/gradlfixed.m
AdaptScalSVM/gradwbfixed.m
AdaptScalSVM/gradwfixed.m
AdaptScalSVM/LagrangeUpdate.m
AdaptScalSVM/SigmaUpdate.m
AdaptScalSVM/svmfit.m
AdaptScalSVM/svmfitconj.m
AdaptScalSVM/
FeatureSelection/featselcorrcoeff.m
FeatureSelection/featselkernelderivative.m
FeatureSelection/FeatSelmargdif.m
FeatureSelection/FeatSelmargdif1v1.m
FeatureSelection/FeatSelmargin.m
FeatureSelection/FeatSelr2w2.m
FeatureSelection/FeatSelr2w2diff.m
FeatureSelection/
svmroc/contents.m
svmroc/rankboostAUC.m
svmroc/rankboostAUCval.m
svmroc/rankroccurve.m
svmroc/svmroc.m
svmroc/svmrocCS.m
svmroc/svmroccurve.m
svmroc/svmrocval.m
svmroc/
utilities/ConfusionMatrix.m
utilities/CreateDataAppTest.m
utilities/DataGrid2D.m
utilities/lambdawilks.m
utilities/mwustat.m
utilities/nfcv.m
utilities/normalizeinterval.m
utilities/normalizemeanstd.m
utilities/wstat.m
utilities/
license.txt
dataset1.mat
dataset2.mat
dataset3.mat
contents.m
Copie de monqp.m
Copie de svmregLS.m
cout.m
dataset.m
fileaccess.m
functioneval.m
gda.m
givrot.m
kernelpca.m
kernelpcaproj.m
monqp.m
monqpCinfty.m
monqpOLD1.m
normalizekernel.m
phispan.m
r2smallestsphere.m
regsolve.m
rncalc.m
rnval.m
spanestimate.m
svmclass.m
svmclassL2.m
svmclassL2LS.m
svmclassLS.m