文件名称:simfeat
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2013-12-20
- 文件大小：
- 1.96mb
- 下载次数：
- 1次
- 提 供 者：
- 吴**
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
一个包含常用特征提取方法的matlab工具包。内含 PCA, CCA, mnf, pls 、 KPCA, KCCA, kmnf, kpls 等算法的实现源码-a matlab toolkit Containing some common feature extraction methods . Containing PCA, CCA, mnf, pls, KPCA, KCCA, kmnf, kpls algorithm implementation source
(系统自动生成,下载前可以参看下载内容)
下载文件列表
simfeat\Contents.m
.......\Contents.m~
.......\gpml-matlab\doc\alg21.gif
.......\...........\...\alg31.gif
.......\...........\...\alg32.gif
.......\...........\...\alg35.gif
.......\...........\...\alg36.gif
.......\...........\...\alg51.gif
.......\...........\...\alg52.gif
.......\...........\...\classification.html
.......\...........\...\fig2d.gif
.......\...........\...\fig2de1.gif
.......\...........\...\fig2de2.gif
.......\...........\...\fig2de3.gif
.......\...........\...\fig2dl1.gif
.......\...........\...\fig2dl2.gif
.......\...........\...\fig2dl3.gif
.......\...........\...\figepp.gif
.......\...........\...\figepp2.gif
.......\...........\...\figl.gif
.......\...........\...\figl1.gif
.......\...........\...\figlapp.gif
.......\...........\...\figlapp2.gif
.......\...........\...\figlf.gif
.......\...........\...\figlm.gif
.......\...........\...\index.html
.......\...........\...\regression.html
.......\...........\...\sparse-approx.html
.......\...........\...\style.css
.......\...........\gpml\approxEP.m
.......\...........\....\approximations.m
.......\...........\....\approxLA.m
.......\...........\....\binaryEPGP.m
.......\...........\....\binaryGP.m
.......\...........\....\binaryLaplaceGP.m
.......\...........\....\Contents.m
.......\...........\....\Copyright
.......\...........\....\covConst.m
.......\...........\....\covFunctions.m
.......\...........\....\covLINard.m
.......\...........\....\covLINone.m
.......\...........\....\covMatern3iso.m
.......\...........\....\covMatern5iso.m
.......\...........\....\covNNone.m
.......\...........\....\covNoise.m
.......\...........\....\covPeriodic.m
.......\...........\....\covProd.m
.......\...........\....\covRQard.m
.......\...........\....\covRQiso.m
.......\...........\....\covSEard.m
.......\...........\....\covSEiso.m
.......\...........\....\covSum.m
.......\...........\....\cumGauss.m
.......\...........\....\gauher.m
.......\...........\....\gpr.m
.......\...........\....\gprSRPP.m
.......\...........\....\likelihoods.m
.......\...........\....\logistic.m
.......\...........\....\Makefile
.......\...........\....\minimize.m
.......\...........\....\solve_chol.c
.......\...........\....\solve_chol.m
.......\...........\....\sq_dist.c
.......\...........\....\sq_dist.m
.......\...........\....-demo\Contents.m
.......\...........\.........\data_6darm.mat
.......\...........\.........\data_boston.mat
.......\...........\.........\demo_ep_2d.m
.......\...........\.........\demo_ep_usps.m
.......\...........\.........\demo_gparm.m
.......\...........\.........\demo_gpr.m
.......\...........\.........\demo_gprsparse.m
.......\...........\.........\demo_laplace_2d.m
.......\...........\.........\demo_laplace_usps.m
.......\...........\README
.......\lecture.pdf
.......\methods\cca.m
.......\.......\cca.m~
.......\.......\cca2.m
.......\.......\dualpls.m
.......\.......\dualpls.m~
.......\.......\kcca.m
.......\.......\kcca.m~
.......\.......\keca.m
.......\.......\kmnf.m
.......\.......\kopls.m
.......\.......\kpca.m
.......\.......\kpls.m
.......\.......\kpls.m~
.......\.......\mnf.m
.......\.......\opls.m
.......\.......\pca.m
.......\.......\pca.m~
.......\.......\pls.m
.......\.......\pls.m~
.......\.......\plsSB.m
.......\README.txt
.......\simfeat.m
.......\tools\assessment.m
.......\.....\binarize.m