incremental-svm

代码说明：

  增量SVM的实例，用于对手势的在线增量学习，有很详细的源码，并实现了SVM的多分类问题，对于模式识别和学习SVM有很大的帮助(Instance of the incremental SVM for gesture online incremental learning, there is a very detailed source, and to achieve a multi-SVM classification, pattern recognition and learning SVM great help)

文件列表：

incremental svm




...............\@biolearning
...............\............\@classperformance
...............\............\.................\classperformance.m,810,2013-03-13
...............\............\.................\display.m,178,2013-03-13
...............\............\.................\schema.m,9543,2013-03-13
...............\............\.................\updateValidation.m,1167,2013-03-13
...............\............\schema.m,147,2013-03-13
...............\classperf.m,18185,2013-03-13
...............\Contents.m,162,2013-03-13
...............\crossvalind.m,10979,2013-03-13
...............\data.mat,2328,2001-01-15
...............\divide.m,173,2013-03-13
...............\incremental.m,517,2013-03-21
...............\incremental1.m,1237,2013-03-20
...............\incremental2.m,1211,2013-03-21
...............\incrementsvm.txt,11066,2013-02-28
...............\kernel.txt,484,2013-02-28
...............\knnclassify.m,9311,2013-03-13
...............\knnimpute.m,7886,2013-03-13
...............\linear_kernel.m,198,2013-03-14
...............\mlp_kernel.m,325,2013-03-14
...............\optimalleaforder.m,12762,2013-03-13
...............\poly_kernel.m,610,2013-03-14
...............\private
...............\.......\linear_kernel.m,198,2013-03-13
...............\.......\mlp_kernel.m,325,2013-03-13
...............\.......\poly_kernel.m,610,2013-03-13
...............\.......\quadratic_kernel.m,250,2013-03-13
...............\.......\rbf_kernel.m,623,2013-03-13
...............\.......\seqminopt.m,23712,2013-03-13
...............\.......\svmdecision.m,500,2013-03-13
...............\.......\svmplotdata.m,703,2013-03-13
...............\.......\svmplotsvs.m,1067,2013-03-13
...............\quadratic_kernel.m,250,2013-03-14
...............\randfeatures.m,10404,2013-03-13
...............\rankfeatures.m,13661,2013-03-13
...............\rbf_kernel.m,623,2013-03-14
...............\samplealign.m,48029,2013-03-13
...............\seqminopt.m,23712,2013-03-14
...............\svm.txt,7867,2013-02-28
...............\svmclassify.m,5605,2013-03-13
...............\svmctrain.txt,1836,2013-02-28
...............\svmdecision.m,500,2013-03-14
...............\svmplotdata1.m,703,2013-03-22
...............\svmplotsvs1.m,1070,2013-03-22
...............\svmsmoset.m,5892,2013-03-13
...............\svmtrain1.m,24678,2013-03-15