文件名称:Tppcca-svmh
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本程序源码用于对训练样本提取独立主元，作为样本特征，并送入SVM分类器中训练图像的预处理中不取对对数，也无须做幅度归一，由ICA的应用条件决定的。预处理后的图像以向量的形式按行排列 可直接使用。
-The program source for independent main training samples extracted as sample characteristics, and fed into the SVM classifier training image preprocessing not take the amplitude normalized logarithmic, there is no need to do, decided by the ICA' s application conditions . Preprocessed images to vector form of rows can be used directly.
-The program source for independent main training samples extracted as sample characteristics, and fed into the SVM classifier training image preprocessing not take the amplitude normalized logarithmic, there is no need to do, decided by the ICA' s application conditions . Preprocessed images to vector form of rows can be used directly.
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下载文件列表
Tppcca-svmh\prtools3.1.7\@dataset\abs.m
...........\............\........\and.m
...........\............\........\classsizes.m
...........\............\........\conj.m
...........\............\........\ctranspose.m
...........\............\........\cumsum.m
...........\............\........\dataimage.m
...........\............\........\dataimsize.m
...........\............\........\dataset.asv
...........\............\........\dataset.m
...........\............\........\det.m
...........\............\........\display.m
...........\............\........\double.m
...........\............\........\eig.m
...........\............\........\end.m
...........\............\........\eq.m
...........\............\........\exp.m
...........\............\........\find.m
...........\............\........\finite.m
...........\............\........\ge.m
...........\............\........\getfeatd.m
...........\............\........\getimheight.m
...........\............\........\getlabd.m
...........\............\........\getlablist.m
...........\............\........\getlabn.m
...........\............\........\getprob.m
...........\............\........\gt.m
...........\............\........\hist.m
...........\............\........\horzcat.m
...........\............\........\image.m
...........\............\........\imagesc.m
...........\............\........\inv.m
...........\............\........\invsig.m
...........\............\........\ldivide.m
...........\............\........\le.m
...........\............\........\length.m
...........\............\........\log.m
...........\............\........\lt.m
...........\............\........\max.m
...........\............\........\median.m
...........\............\........\min.m
...........\............\........\minus.m
...........\............\........\mldivide.m
...........\............\........\mpower.m
...........\............\........\mrdivide.m
...........\............\........\mtimes.m
...........\............\........\ne.m
...........\............\........\or.m
...........\............\........\pinv.m
...........\............\........\plus.m
...........\............\........\power.m
...........\............\........\prod.m
...........\............\........\rdivide.m
...........\............\........\real.m
...........\............\........\scatter.m
...........\............\........\show.m
...........\............\........\sign.m
...........\............\........\size.m
...........\............\........\sort1.m
...........\............\........\sqrt.m
...........\............\........\subimage.m
...........\............\........\subsasgn.m
...........\............\........\subsref.m
...........\............\........\sum.m
...........\............\........\times.m
...........\............\........\transpose.m
...........\............\........\uminus.m
...........\............\........\uplus.m
...........\............\........\vertcat.m
...........\............\.mapping\ctranspose.m
...........\............\........\dataset.m
...........\............\........\display.m
...........\............\........\double.m
...........\............\........\end.m
...........\............\........\getclass.m
...........\............\........\getlabm.m
...........\............\........\getmap.m
...........\............\........\getreject.m
...........\............\........\gettype.m
...........\............\........\horzcat.m
...........\............\........\isclassifier.m
...........\............\........\iscombiner.m
...........\............\........\isempty.m
...........\............\........\isfixed.m
...........\............\........\istrained.m
...........\............\........\isuntrained.m
...........\............\........\mapping.m
...........\............\........\mappingtype.m
...........\............\........\mtimes.m
...........\............\........\plot.m
...........\............\........\plus.m
...........\............\........\set.m
...........\............\........\setclass.m
...........\............\........\setreject.m
...........\............\........\show.m
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