Description: Bayesian theory, PCA, etc. The method has been applied mathematical programming to achieve reduction, classification and many other features.
- [FisherFace] - Face Recognition Algorithm for the perfe
- [stprtool] - st ptool
- [stprtool22oct09] - Statistical Pattern Recognition Toolbox
- [pca] - Classic PCA algorithm for image processi
File list (Check if you may need any files):
stprtool
........\bayes
........\.....\bayescln.m
........\.....\bayescln.m~
........\.....\bayesdemo1.m
........\.....\bayesdemo2.m
........\.....\bayesdemo3.m
........\.....\bayeserr.m
........\.....\bayesnd.m
........\.....\bhattach.m
........\.....\Contents.m
........\.....\gaussc2.mat
........\.....\gaussc2b.mat
........\.....\pbayescln.m
........\Contents.m
........\Contents.m~
........\datasets
........\........\ascii2xi.m
........\........\ascii2xi.m~
........\........\checkdat.m
........\........\chgnum.m
........\........\Contents.m
........\........\Contents.m~
........\........\creatset.m
........\........\datafiles.m
........\........\dataid.m
........\........\img2x.m
........\........\img2xi.m
........\........\nmix.m
........\........\norm2file.m
........\........\pgm2x.m
........\........\pgm2x.m~
........\........\pgm2xi.m
........\........\pimg.m
........\........\pimg.m~
........\........\sortxi.m
........\........\x2img.m
........\........\x2pgm.m
........\........\xi2file.m
........\generalp
........\........\acov.m
........\........\cerror.m
........\........\cliplin1.m
........\........\cliplin2.m
........\........\clrchild.m
........\........\cmp1.mat
........\........\cmpwin.m
........\........\color.m
........\........\Contents.m
........\........\crossval.m
........\........\ellips.m
........\........\erfc2.m
........\........\fig2eps.m
........\........\getaxis.m
........\........\itosgn.m
........\........\kernel1.m
........\........\knnclass.c
........\........\knnclass.m
........\........\knnclass.mexlx
........\........\knnclass.m~
........\........\mahalan.m
........\........\marker.m
........\........\multi2dicho.m
........\........\normald.m
........\........\pdiscrim.m
........\........\pdiscrim.m~
........\........\pline.m
........\........\pnmix.m
........\........\pnormal.m
........\........\ppatterns.m
........\........\ppoints.m
........\........\randpds.m
........\........\setaxis.m
........\........\sgntoi.m
........\learning
........\........\Contents.m
........\........\minimax
........\........\.......\Contents.m
........\........\.......\mmdata1.mat
........\........\.......\mmdata2.mat
........\........\.......\mmdemo.m
........\........\.......\mmln.m
........\........\unsuper
........\........\.......\clusters2.mat
........\........\.......\clusters2over.mat
........\........\.......\clusters4.mat
........\........\.......\Contents.m
........\........\.......\mix4init1.mat
........\........\.......\mix4init2.mat
........\........\.......\mln.m
........\........\.......\unsudemo.m
........\........\.......\unsund.m
........\........\.......\unsuni.m
........\linear
........\......\anderson
........\......\........\andrdata1.mat
........\......\........\andrdata2.mat
........\......\........\andrdemo.m
........\......\........\andrerr.m
........\......\........\Contents.m
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