文件名称:SRC
介绍说明－－下载内容均来自于网络，请自行研究使用
一个自己编的稀疏表示分类程序（SRC），以帮助了解SRC的原理和算法。-A self sparse representation classification (SRC) program, to help understand the principles and algorithms of the SRC.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
src1_7
......\bootstrapnnlsClassifier.m
......\breastTissue.mat
......\changeClassLabels01.m
......\classificationPredict.m
......\classificationTrain.m
......\ColonCancer.mat
......\computeKernelMatrix.m
......\computeMetaSample.m
......\computeSparsity.m
......\cvExperiment.m
......\data
......\....\InfBetaTensorComplete.mat
......\....\smallRoundBlueCellTumorOFChildhood.mat
......\downsample.m
......\dynamicSystems_kernel.m
......\dynamicSystems_kernel2.m
......\EQP.m
......\estimatePQRS.m
......\euclidean.m
......\example.m
......\exampleClassification.m
......\exampleConstrainedNNQP.m
......\exampleDicLearn.m
......\exampleFeatExtr.m
......\exampleKSRDL.m
......\exampleKSRSC.m
......\examplel1QPSMO.m
......\exampleLRC.m
......\exampleOptSC.m
......\examplePlotBars.m
......\exampleUnboundedQPFeb212012.m
......\exampleUSR.m
......\face95.mat
......\featSel.m
......\featureExtractionTrain.m
......\featureExtrationTest.m
......\findViolateXl1QPSMO.m
......\FriedmanTest.m
......\genCode.m
......\geometricMean.m
......\getBestScores.m
......\getLambda.m
......\getRank.m
......\gridSearch.m
......\gridSearchUniverse.m
......\initializel1QPSMO.m
......\initializeNNQPSMO.m
......\innerProduct.m
......\invsvd.m
......\iszero.m
......\kernelLinear.m
......\kernelPoly.m
......\kernelRBF.m
......\kernelseminmfruletest.m
......\kernelSigmoid.m
......\kfcnnls.m
......\khdlmClassifier.m
......\khdlmPredict.m
......\khdlmTrain.m
......\knnrule.m
......\KSRDL.m
......\KSRDLDR.m
......\KSRSC.m
......\KSRSCClassifier.m
......\l1LSKernelBatch.m
......\l1NNLSKernel.m
......\l1NNLSKernelBatch.m
......\l1NNLSKernelBatchDL.m
......\l1NNQPActiveSet.m
......\l1NNQPActiveSetMultiTemp.m
......\l1QPActiveSet.m
......\l1QPIP.m
......\l1QPIPMulti.m
......\l1QPMultiTemp.m
......\l1QPProximal.m
......\l1QPProximalMulti.m
......\l1QPSMO.m
......\l1QPSMOMulti.m
......\learnCurve.m
......\leaveMOut.m
......\lineSearchNNLS.m
......\lineSearchSRC2.m
......\localSVM.m
......\log2Inf.m
......\lrc.m
......\mat2vec.m
......\matrixNorm.m
......\matrizicing.m
......\mergeOption.m
......\multiClassifiers.m
......\nearestCentroidPredict.m
......\nearestCentroidTrain.m
......\nnlsClassifier.m
......\nnlsClassifierLargeSampleSize.m
......\NNLSKernelBatch.m
......\NNQPActiveSet.m
......\NNQPIP.m
......\NNQPIPMulti.m
......\NNQPSMO.m