ocsvm---VS-svdd
代码说明:
支持向量机遥感图像分类代码,内含C、matlab代码,参考文献供学习(Support vector machine remote sensing image classification code )
文件列表:
2016大创
........\image
........\.....\after.sta,263,2016-04-01
........\.....\after.tif,2585874,2016-04-01
........\.....\before.sta,260,2016-04-01
........\.....\before.tif,2585874,2016-04-01
........\.....\map.sta,138,2016-04-01
........\.....\map.tif,646622,2016-04-01
........\.....\数据说明.txt,68,2016-04-01
........\libsvm
........\......\htm" target=_blank>COPYRIGHT,1497,2015-08-04
........\......\FAQ.html,72186,2015-08-04
........\......\htm" target=_blank>heart_scale,27670,2015-08-04
........\......\java
........\......\....\libsvm
........\......\....\......\svm.java,62406,2015-08-04
........\......\....\......\svm.m4,61755,2015-08-04
........\......\....\......\svm_model.java,734,2015-08-04
........\......\....\......\svm_node.java,115,2015-08-04
........\......\....\......\svm_parameter.java,1288,2015-08-04
........\......\....\......\svm_print_interface.java,87,2015-08-04
........\......\....\......\svm_problem.java,136,2015-08-04
........\......\....\libsvm.jar,50329,2015-08-04
........\......\....\Makefile,624,2015-08-04
........\......\....\svm_predict.java,4267,2015-08-04
........\......\....\svm_scale.java,8944,2015-08-04
........\......\....\svm_toy.java,12269,2015-08-04
........\......\....\svm_train.java,8268,2015-08-04
........\......\....\test_applet.html,81,2015-08-04
........\......\Makefile,732,2015-08-04
........\......\Makefile.win,1087,2015-08-04
........\......\matlab
........\......\......\libsvmread.c,4014,2015-08-04
........\......\......\libsvmread.mexw64,11264,2015-08-04
........\......\......\libsvmwrite.c,2148,2015-08-04
........\......\......\libsvmwrite.mexw64,10240,2015-08-04
........\......\......\make.m,799,2015-08-04
........\......\......\Makefile,1499,2015-08-04
........\......\......\htm" target=_blank>README,9618,2015-08-04
........\......\......\svmpredict.c,9263,2015-08-04
........\......\......\svmpredict.mexw64,25088,2015-08-04
........\......\......\svmtrain.c,11371,2015-08-04
........\......\......\svmtrain.mexw64,64000,2015-08-04
........\......\......\svm_model_matlab.c,7722,2015-08-04
........\......\......\svm_model_matlab.h,201,2015-08-04
........\......\python
........\......\......\Makefile,32,2015-08-04
........\......\......\htm" target=_blank>README,11763,2015-08-04
........\......\......\svm.py,8702,2015-08-04
........\......\......\svmutil.py,8258,2015-08-04
........\......\htm" target=_blank>README,27332,2015-08-04
........\......\svm-predict.c,5381,2015-08-04
........\......\svm-scale.c,7042,2015-08-04
........\......\svm-toy
........\......\.......\gtk
........\......\.......\...\callbacks.cpp,10308,2015-08-04
........\......\.......\...\callbacks.h,1765,2015-08-04
........\......\.......\...\interface.c,6457,2015-08-04
........\......\.......\...\interface.h,203,2015-08-04
........\......\.......\...\main.c,398,2015-08-04
........\......\.......\...\Makefile,573,2015-08-04
........\......\.......\...\svm-toy.glade,6402,2015-08-04
........\......\.......\qt
........\......\.......\..\Makefile,392,2015-08-04
........\......\.......\..\svm-toy.cpp,9744,2015-08-04
........\......\.......\windows
........\......\.......\.......\svm-toy.cpp,11503,2015-08-04
........\......\svm-train.c,8891,2015-08-04
........\......\svm.cpp,63412,2015-08-04
........\......\svm.def,434,2015-08-04
........\......\svm.h,3129,2015-08-04
........\......\tools
........\......\.....\checkdata.py,2479,2015-08-04
........\......\.....\easy.py,2699,2015-08-04
........\......\.....\grid.py,12097,2015-08-04
........\......\.....\htm" target=_blank>README,4728,2015-08-04
........\......\.....\subset.py,3004,2015-08-04
........\......\windows
........\......\.......\libsvm.dll,159744,2015-08-04
........\......\.......\libsvmread.mexw32,8192,2015-08-04
........\......\.......\libsvmread.mexw64,11264,2015-08-04
........\......\.......\libsvmwrite.mexw32,7680,2015-08-04
........\......\.......\libsvmwrite.mexw64,10240,2015-08-04
........\......\.......\svm-predict.exe,125440,2015-08-04
........\......\.......\svm-scale.exe,80384,2015-08-04
........\......\.......\svm-toy.exe,141312,2015-08-04
........\......\.......\svm-train.exe,155648,2015-08-04
........\......\.......\svmpredict.mexw32,20480,2015-08-04
........\......\.......\svmpredict.mexw64,25088,2015-08-04
........\......\.......\svmtrain.mexw32,49664,2015-08-04
........\......\.......\svmtrain.mexw64,64000,2015-08-04
........\main_one_class_CD.asv,3300,2016-04-01
........\main_one_class_CD.m,2780,2016-04-01
........\OCSVM-基于支持向量的单类分类方法综述---VS SVDD.pdf,338852,2015-11-02
........\OCSVM单类支持向量机的研究进展.pdf,503546,2015-11-02
........\新建文本文档.txt,114,2016-04-01
下载说明:请别用迅雷下载,失败请重下,重下不扣分!