文件名称:MKL
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2016-12-18
- 文件大小：
- 8.65mb
- 下载次数：
- 0次
- 提 供 者：
- 孔**
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
多核学习 SVM分类 遥感影像分类算法 -Multiple kernel learning
(系统自动生成,下载前可以参看下载内容)
下载文件列表
MKL\simplemkl\build_efficientK.m
...\.........\costsvmclass.m
...\.........\costsvmclassls.m
...\.........\costsvmoneagainstall.m
...\.........\costsvmoneagainstone.m
...\.........\costsvmreg.m
...\.........\CreateDataAppTest.m
...\.........\CreateKernelListWithVariable.m
...\.........\devectorize.c
...\.........\devectorize.dll
...\.........\devectorize.mexglx
...\.........\devectorize_single.c
...\.........\devectorize_single.dll
...\.........\devectorize_single.mexglx
...\.........\exmklclass.m
...\.........\exmkllsdisk.m
...\.........\exmklmulticlass.m
...\.........\exmklmulticlassrealdata.m
...\.........\exmklreg.m
...\.........\exmklvariationC.m
...\.........\gradsvmclass.m
...\.........\gradsvmclassls.m
...\.........\gradsvmoneagainstall.m
...\.........\gradsvmoneagainstone.m
...\.........\gradsvmreg.m
...\.........\ionosphere.mat
...\.........\mklbuildkernel.m
...\.........\mklkernel.m
...\.........\mklmulticlass.m
...\.........\mklmulticlassupdate.m
...\.........\mklsvm.m
...\.........\mklsvmclassSILP.m
...\.........\mklsvmls.m
...\.........\mklsvmlsupdate.m
...\.........\mklsvmregSILP.m
...\.........\mklsvmupdate.m
...\.........\monqp.m
...\.........\normalizemeanstd.m
...\.........\sumKbeta.m
...\.........\sumKbetals.m
...\.........\svmclass.m
...\.........\svmclasslsformkl.m
...\.........\svmkernel.m
...\.........\svmval.m
...\.........\UnitTraceNormalization.m
...\.........\vectorize.c
...\.........\vectorize.dll
...\.........\vectorize.mexglx
...\.........\VectorizeCofSVM.m
...\.........\vectorize_single.c
...\.........\vectorize_single.dll
...\.........\vectorize_single.mexglx
...\.........\WeightK.m
...\simplemkl.zip
...\SVM-KM\AdaptScalSVM\costlbfixed.m
...\......\............\costlfixed.m
...\......\............\costwbfixed.m
...\......\............\costwfixed.m
...\......\............\ExampledemoAdaptScal.m
...\......\............\ExampleFeatSelAdaptScal.m
...\......\............\gradlbfixed.m
...\......\............\gradlfixed.m
...\......\............\gradwbfixed.m
...\......\............\gradwfixed.m
...\......\............\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
...\......\..........\r2alpharegL2.m
...\......\..........\spanestimateregL2.m
...\......\FeatureSelection\featselcorrcoeff.m
...\......\................\featselkernelderivative.m
...\......\................\FeatSelmargdif.m
...\......\................\FeatSelmargdif1v1.m
...\......\................\FeatSelmargin.m
...\......\................\FeatSelr2w2.m
...\......\................\FeatSelr2w2diff.m
...\......\fileaccess.m
...\......\functioneval.m