登录
首页 » matlab » SVM-Classification

SVM-Classification

于 2021-04-07 发布 文件大小:3886KB
0 308
下载积分: 1 下载次数: 725

代码说明:

  Matlab写的SVM图像分类程序,是完整的可运行的图像分类程序,高手可以研究一下。(Matlab write SVM image classification procedure is complete working image classification procedures, experts can look at.)

文件列表:

SVM分类程序
...........\AFEm.m,3458,2013-06-06
...........\bay_errorbar.m,5785,2013-06-06
...........\bay_initlssvm.m,2003,2013-06-06
...........\bay_lssvm.m,10345,2013-06-06
...........\bay_lssvmARD.m,8187,2013-06-06
...........\bay_modoutClass.m,9358,2013-06-06
...........\bay_optimize.m,5977,2013-06-06
...........\bay_rr.m,4312,2013-06-06
...........\bootsp.m,1631,2013-06-06
...........\bootstrap.m,282,2013-06-06
...........\changelssvm.m,5576,2013-06-06
...........\cilssvm.m,4462,2013-06-06
...........\code.m,4245,2013-06-06
...........\codedist_bay.m,2118,2013-06-06
...........\codedist_hamming.m,756,2013-06-06
...........\codedist_loss.m,2018,2013-06-06
...........\codelssvm.m,4126,2013-06-06
...........\code_ECOC.m,5197,2013-06-06
...........\code_MOC.m,550,2013-06-06
...........\code_OneVsAll.m,364,2013-06-06
...........\code_OneVsOne.m,579,2013-06-06
...........\comp.m,359,2013-06-06
...........\crossvalidate.m,5350,2013-06-06
...........\crossvalidatelssvm.m,3773,2013-06-06
...........\csa.m,2901,2013-06-06
...........\data1.txt,5998384,2013-06-06
...........\democlass.m,3459,2013-06-06
...........\democonfint.m,2143,2013-06-06
...........\demofun.m,3972,2013-06-06
...........\demomodel.m,4772,2013-06-06
...........\demomulticlass.m,2299,2013-06-06
...........\demo_fixedclass.m,2251,2013-06-06
...........\demo_fixedsize.m,3233,2013-06-06
...........\demo_yinyang.m,3447,2013-06-06
...........\denoise_kpca.m,3598,2013-06-06
...........\eign.m,3787,2013-06-06
...........\gcrossvalidate.m,3302,2013-06-06
...........\gcrossvalidatelssvm.m,2022,2013-06-06
...........\gridsearch.m,6927,2013-06-06
...........\initlssvm.m,3327,2013-06-06
...........\kentropy.m,2206,2013-06-06
...........\kernel_matrix.m,2636,2013-06-06
...........\kernel_matrix2.m,477,2013-06-06
...........\kpca.m,6137,2013-06-06
...........\latentlssvm.m,2398,2013-06-06
...........\leaveoneout.m,3667,2013-06-06
...........\leaveoneoutlssvm.m,2334,2013-06-06
...........\linesearch.m,3758,2013-06-06
...........\linf.m,313,2013-06-06
...........\lin_kernel.m,531,2013-06-06
...........\lssvm.m,1762,2013-06-06
...........\lssvmMATLAB.m,2082,2013-06-06
...........\mean_acc.mat,183,2013-06-06
...........\mean_time.mat,187,2013-06-06
...........\MeasureError.asv,725,2013-06-06
...........\MeasureError.m,790,2013-06-06
...........\medae.m,311,2013-06-06
...........\misclass.m,693,2013-06-06
...........\MLP_kernel.m,608,2013-06-06
...........\mse.m,285,2013-06-06
...........\plotlssvm.m,9963,2013-06-06
...........\poly_kernel.m,623,2013-06-06
...........\postlssvm.m,4838,2013-06-06
...........\predict.m,3485,2013-06-06
...........\predlssvm.m,5031,2013-06-06
...........\preimage_rbf.m,4452,2013-06-06
...........\prelssvm.m,6288,2013-06-06
...........\progress.m,1247,2013-06-06
...........\range.m,173,2013-06-06
...........\RBF_kernel.m,1105,2013-06-06
...........\rcrossvalidate.m,5945,2013-06-06
...........\rcrossvalidatelssvm.m,4085,2013-06-06
...........\ridgeregress.m,1436,2013-06-06
...........\ripley.mat,4100,2013-06-06
...........\robustlssvm.m,3216,2013-06-06
...........\roc.m,7496,2013-06-06
...........\rsimplex.m,9888,2013-06-06
...........\sample.asv,100,2013-06-06
...........\sample.m,100,2013-06-06
...........\simann.m,5845,2013-06-06
...........\simlssvm.m,6421,2013-06-06
...........\simplex.m,9778,2013-06-06
...........\smootherlssvm.m,1033,2013-06-06
...........\tbform.m,1936,2013-06-06
...........\test.data,2029542,2013-06-06
...........\test1.asv,38,2013-06-06
...........\test1.m,33,2013-06-06
...........\test2.asv,520,2013-06-06
...........\test2.m,522,2013-06-06
...........\test3.asv,3888,2013-06-06
...........\test3.m,4117,2013-06-06
...........\train.data,14512253,2013-06-06
...........\trainlssvm.m,8732,2013-06-06
...........\tri.asv,5120,2013-06-06
...........\tri.m,5316,2013-06-06
...........\trimmedmse.m,1711,2013-06-06
...........\tunelssvm.asv,22592,2013-06-06
...........\tunelssvm.m,22592,2013-06-06
...........\usps_t1.m,968,2013-06-06

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • laplacian-pyramid-decomposition
    给出了灰度图像(256*256大小)的三层高斯和拉普拉斯金字塔分解的程序和实现方法。内容包括:1.matlab源码,亲身实践,因为论文需要,自己专研的。完全可用。2.国外最先最权威的关于分解原理介绍的文章。以上两个内容中都有本人的悉心注释和思路总结,内容详尽。3.图示结果(code and principle of laplacian pyramid decomposition of a gray scale image are provided in the article.Contents are given in detail including the notes and usage. )
    2021-04-19 11:08:51下载
    积分:1
  • FastICA_23
    遥感影像处理,可以用于盲源信号分离,快速高效的独立成分分析方法(Remote sensing image processing, can be used for blind source separation, rapid and efficient method of independent component analysis)
    2008-06-07 23:03:13下载
    积分:1
  • The-Curvelet-Transform-
    这里包含了曲线波变换用于图像去噪的一片论文以及翻译,这是本人亲自翻译排版的,希望对大家有用(This includes the curvelet transform for image denoising is a piece of paper and translation, this is a personally Translation Publishing, I hope useful for everyone)
    2014-06-15 10:45:45下载
    积分:1
  • san-zhen-cha-fen
    三帧差分法,绝对可用,matlab实现,里面有视频和结果图。如果程序出错误,可用先把result.avi删除,在做测试、(Three difference method, absolutely free, matlab realize, there are videos and results map. If the program is an error that can be used to delete first result.avi while doing the test,)
    2013-05-31 13:41:05下载
    积分:1
  • icm_seg
    基于马尔可夫随机场(MRF)、条件迭代算法ICM的图像分割源码(The MRF, the ICM-based image segmentation source code to source image segmentation based on the MRF ICM)
    2012-06-15 10:17:55下载
    积分:1
  • mat12
    一个很好的学习图像处理的函数的例子程序,对于初级学习者来说,有很好的帮助,对于初学习者非常适合!(a good learning image processing function examples procedures for primary learners, good help, very suitable for early learners!)
    2007-03-22 23:21:53下载
    积分:1
  • Depth-of-remote-sensing
    水深遥感测量,自己收集的pdf论文资料。(Depth of remote sensing, their paper data collection.)
    2011-08-24 16:01:53下载
    积分:1
  • MFCC-and-SVM
    建立了普通话语音性别数据库,提出联合梅尔频率频谱系数(Mel2f requency Cep st rum Coefficient s , MFCC) 的特征提取方法和支持向量机(Support Vector Machine , SVM) 的分类方法进行说话人性别识别,并与其它分类方法进行比较。(A Chinese speech ( mandarin ) database was established for speaker s gender recognition. A combination met hod is p roposed for gender recognition of speaker s based on support vector machine and Mel2f requency cep st rum coefficient s (MFCC) for classification and feat ure ext raction respectively.)
    2011-05-22 16:26:23下载
    积分:1
  • matlab
    冈萨雷斯数字图像处理所有例子源码全解 (failed to translate)
    2010-05-06 17:14:42下载
    积分:1
  • Compare_SINR_by_different_angles
    通信专业中滤波算法中有关信噪比计算的matlab编程。(Communication professional in filtering algorithm Matlab programming signal-to-noise ratio.)
    2021-02-04 15:19:58下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载