Description: Use support vector machine as the distinction between text and non-text classifier, support vector machine is in statistical learning theory developed on the basis of a new generation of learning algorithm, it addresses the small sample, nonlinear and high-dimensional pattern recognition problem has shown many unique advantages.
- [JettySVM] - A plot based on support vector (SVM) of
- [demo] - SVM, a small procedure, you can realize
- [svm] - On Support Vector Machines Matlab source
- [matlab4] - Face Recognition Based on Wavelet matlab
- [LS-SVMlab1[1].5] - Based on Support Vector Machine LS-SVM r
File list (Check if you may need any files):
程序\svm程序\19.jpg
....\.......\58.jpg
....\.......\binomial.m
....\.......\MKCONSTARRAY.M
....\.......\nobias.m
....\.......\softmargin.m
....\.......\statmoments.m
....\.......\statxture.m
....\.......\svc.m
....\.......\svcerror.m
....\.......\svcinfo.m
....\.......\svcoutput.m
....\.......\svdatanorm.m
....\.......\svkernel.m
....\.......\svtol.m
....\.......\test.m
....\.......\test.txt
....\.......\test2.m
....\svm程序
程序
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