Title:
Supportvectorbaseddetectionalgrithom
Download
Description: 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
To Search:
- [matlab5] - MATLAB
- [1] - Write a program by setting the ios:: sci
File list (Check if you may need any files):
Libsvm2.32完全版\libsvm-2.32
................\...........\COPYRIGHT
................\...........\heart_scale
................\...........\java
................\...........\....\libsvm
................\...........\....\......\svm.java
................\...........\....\......\svm.m4
................\...........\....\......\svm_model.java
................\...........\....\......\svm_node.java
................\...........\....\......\svm_parameter.java
................\...........\....\......\svm_problem.java
................\...........\....\......\WS_FTP.LOG
................\...........\....\libsvm.jar
................\...........\....\Makefile
................\...........\....\svm_predict.java
................\...........\....\svm_toy.java
................\...........\....\svm_train.java
................\...........\....\test_applet.html
................\...........\....\WS_FTP.LOG
................\...........\Makefile
................\...........\README
................\...........\svm-predict.c
................\...........\svm-scale.c
................\...........\svm-toy
................\...........\.......\gtk
................\...........\.......\...\callbacks.cpp
................\...........\.......\...\callbacks.h
................\...........\.......\...\interface.c
................\...........\.......\...\interface.h
................\...........\.......\...\main.c
................\...........\.......\...\Makefile
................\...........\.......\...\svm-toy.glade
................\...........\.......\...\WS_FTP.LOG
................\...........\.......\qt
................\...........\.......\..\Makefile
................\...........\.......\..\svm-toy.cpp
................\...........\.......\..\WS_FTP.LOG
................\...........\.......\windows
................\...........\.......\.......\svm-toy.cpp
................\...........\.......\.......\svm-toy.dsp
................\...........\.......\.......\svm-toy.dsw
................\...........\.......\.......\svm-toy.ncb
................\...........\.......\.......\svm-toy.opt
................\...........\.......\.......\svm-toy.plg
................\...........\.......\.......\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
................\............\Thumbs.db
................\............\WS_FTP.LOG
................\LIBSVM.htm
................\Libsvm文献
................\..........\e1071.pdf
................\..........\e1071_1.2-1.tar.gz
................\..........\libsvm.pdf
................\..........\svmdoc.pdf
................\..........\WS_FTP.LOG
................\WS_FTP.LOG
Libsvm2.32完全版
