SRC

代码说明：

  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.)

文件列表：

src1_7
......\bootstrapnnlsClassifier.m,5596,2011-10-11
......\breastTissue.mat,7014,2011-09-06
......\changeClassLabels01.m,952,2011-10-11
......\classificationPredict.m,20533,2013-07-23
......\classificationTrain.m,41034,2013-07-23
......\ColonCancer.mat,686183,2010-08-01
......\computeKernelMatrix.m,1536,2013-03-22
......\computeMetaSample.m,4690,2013-07-10
......\computeSparsity.m,174,2012-02-12
......\cvExperiment.m,5396,2013-05-18
......\data
......\....\InfBetaTensorComplete.mat,75217,2011-10-11
......\....\smallRoundBlueCellTumorOFChildhood.mat,1009836,2010-07-24
......\downsample.m,336,2011-10-10
......\dynamicSystems_kernel.m,1254,2011-09-26
......\dynamicSystems_kernel2.m,1913,2011-12-27
......\EQP.m,1117,2013-03-18
......\estimatePQRS.m,908,2010-09-28
......\euclidean.m,329,2011-11-18
......\example.m,10833,2013-03-14
......\exampleClassification.m,5210,2013-07-16
......\exampleConstrainedNNQP.m,215,2012-03-04
......\exampleDicLearn.m,3173,2012-02-12
......\exampleFeatExtr.m,1354,2013-07-16
......\exampleKSRDL.m,1399,2013-07-23
......\exampleKSRSC.m,1004,2013-07-23
......\examplel1QPSMO.m,3108,2013-05-03
......\exampleLRC.m,2158,2013-02-04
......\exampleOptSC.m,1410,2013-07-16
......\examplePlotBars.m,3428,2012-05-31
......\exampleUnboundedQPFeb212012.m,345,2012-02-21
......\exampleUSR.m,1222,2013-02-22
......\face95.mat,7736083,2011-08-03
......\featSel.m,3788,2013-03-10
......\featureExtractionTrain.m,12637,2013-07-23
......\featureExtrationTest.m,8722,2013-07-23
......\findViolateXl1QPSMO.m,621,2013-03-15
......\FriedmanTest.m,1566,2012-11-09
......\genCode.m,495,2013-03-21
......\geometricMean.m,332,2012-07-04
......\getBestScores.m,396,2011-11-18
......\getLambda.m,605,2013-03-18
......\getRank.m,428,2012-10-24
......\gridSearch.m,2765,2011-10-10
......\gridSearchUniverse.m,3639,2013-01-17
......\initializel1QPSMO.m,493,2013-03-15
......\initializeNNQPSMO.m,372,2013-03-17
......\innerProduct.m,562,2011-10-10
......\invsvd.m,356,2011-10-10
......\iszero.m,281,2013-05-18
......\kernelLinear.m,288,2011-12-27
......\kernelPoly.m,495,2011-10-11
......\kernelRBF.m,516,2011-10-11
......\kernelseminmfruletest.m,2251,2011-10-10
......\kernelSigmoid.m,426,2011-10-11
......\kfcnnls.m,4844,2011-10-04
......\khdlmClassifier.m,3412,2012-01-23
......\khdlmPredict.m,1609,2012-08-30
......\khdlmTrain.m,2943,2012-08-30
......\knnrule.m,690,2013-02-14
......\KSRDL.m,7403,2013-07-16
......\KSRDLDR.m,408,2012-02-16
......\KSRSC.m,3888,2013-10-11
......\KSRSCClassifier.m,3969,2013-07-10
......\l1LSKernelBatch.m,916,2012-02-08
......\l1NNLSKernel.m,2683,2012-04-11
......\l1NNLSKernelBatch.m,920,2012-02-08
......\l1NNLSKernelBatchDL.m,563,2012-02-10
......\l1NNQPActiveSet.m,5311,2013-05-22
......\l1NNQPActiveSetMultiTemp.m,281,2013-05-22
......\l1QPActiveSet.m,3453,2013-07-15
......\l1QPIP.m,3088,2013-07-15
......\l1QPIPMulti.m,558,2013-07-15
......\l1QPMultiTemp.m,279,2013-05-28
......\l1QPProximal.m,1341,2013-07-15
......\l1QPProximalMulti.m,364,2013-07-16
......\l1QPSMO.m,2517,2013-05-22
......\l1QPSMOMulti.m,238,2013-05-22
......\learnCurve.m,1281,2012-11-25
......\leaveMOut.m,1427,2012-11-25
......\lineSearchNNLS.m,2276,2011-10-10
......\lineSearchSRC2.m,2369,2011-10-11
......\localSVM.m,2047,2012-08-09
......\log2Inf.m,183,2011-10-11
......\lrc.m,2595,2013-03-14
......\mat2vec.m,254,2010-09-27
......\matrixNorm.m,225,2011-10-11
......\matrizicing.m,1330,2006-10-31
......\mergeOption.m,529,2011-05-26
......\multiClassifiers.m,4187,2013-07-23
......\nearestCentroidPredict.m,543,2012-09-17
......\nearestCentroidTrain.m,774,2012-09-17
......\nnlsClassifier.m,4017,2013-04-04
......\nnlsClassifierLargeSampleSize.m,3223,2011-11-18
......\NNLSKernelBatch.m,875,2012-02-08
......\NNQPActiveSet.m,5219,2013-07-16
......\NNQPIP.m,2582,2013-07-15
......\NNQPIPMulti.m,527,2013-07-15
......\NNQPSMO.m,1424,2013-05-22