文件名称:Supportvectorbaseddetectionalgrithom

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模式识别的特征识别可有多种方法,同时每种方法都有着一定的局限性,这里给出一种比较通用的方法来进行识别-Pattern Recognition feature recognition can have a number of ways, while each method has certain limitations, here given a more general approach to identify the
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Libsvm2.32完全版\libsvm-2.32

................\...........\COPYRIGHT

................\...........\heart_scale

................\...........\java

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................\...........\....\......\svm.java

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................\...........\....\test_applet.html

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................\...........\Makefile

................\...........\README

................\...........\svm-predict.c

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................\...........\.......\windows

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................\...........\.......\.......\WS_FTP.LOG

................\...........\svm-train.c

................\...........\svm.cpp

................\...........\svm.h

................\...........\SVM_Train

................\...........\.........\svm-train.c

................\...........\.........\svm.cpp

................\...........\.........\svm.h

................\...........\.........\SVM_Train.dsp

................\...........\.........\SVM_Train.dsw

................\...........\.........\SVM_Train.ncb

................\...........\.........\SVM_Train.opt

................\...........\.........\SVM_Train.plg

................\...........\.........\WS_FTP.LOG

................\...........\windows

................\...........\.......\svmpredict.exe

................\...........\.......\svmscale.exe

................\...........\.......\svmtoy.exe

................\...........\.......\svmtrain.exe

................\...........\.......\WS_FTP.LOG

................\...........\WS_FTP.LOG

................\LIBSVM.files

................\............\new.gif

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................\LIBSVM.htm

................\Libsvm文献

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................\..........\e1071_1.2-1.tar.gz

................\..........\libsvm.pdf

................\..........\svmdoc.pdf

................\..........\WS_FTP.LOG

................\WS_FTP.LOG

Libsvm2.32完全版

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