登录
首页 » matlab » SVM-Classification

SVM-Classification

于 2021-04-07 发布 文件大小:3886KB
0 227
下载积分: 1 下载次数: 724
我要下载

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

  • Draw-a-rectangle-matlab
    本程序在图像上指定位置话红色的矩形框作为标记，用在目标跟踪上很有用。(This procedure is specified, then the position of the red rectangle on an image as a mark for use in target tracking useful.)
    2014-08-05 20:59:24下载
    积分：1
  • figure-of-merit-
    评价图像边界的好坏，FOM值越趋于1质量越好。(figure of merit to objectively evaluate the performance of edge detectors)
    2011-12-10 13:24:39下载
    积分：1
  • 图像增强
    利用同态滤波算法和全局直方图均衡算法对图像进行处理使之更清晰化 色彩更饱满(Homomorphic filtering algorithm and global histogram equalization algorithm are used to process the image to make it clearer and more colorful.)
    2018-07-19 09:34:08下载
    积分：1
  • feature_selection
    自己编的特征选择程序，分别包括用顺序前进法(SFS),顺序后退法(SBS),增l 减r 法(l–r)、SFFS法进行选择的程序(own addendum to the feature selection procedures, including the use of sequential forward (SFS). back order (SBS), by reducing r l (l-r), SFFS method to choose the procedure)
    2021-04-28 10:58:44下载
    积分：1
  • matlab.thresholding-master
    在计算机视觉中，图像分割是将图像分成多个片段的过程。这使我们能够通过以比原始图像更简单的表示方式来更好地分析图像。一种用于分割图像的方法是阈值分割；也就是说，将强度值低于阈值的所有像素设置为背景值，而将高于阈值的其他像素设置为前景值。最简单的阈值处理形式是对所有像素使用全局阈值，而自适应阈值处理根据像素及其周围环境动态改变阈值。典型地，阈值处理从灰度图像开始，并输出二进制图像以清晰地描绘图像中的片段。在本实验中，我们开发了一种自适应阈值算法，并将其与更简单的算法进行了比较。 此外，我们还开发了逆运动学证明来将机械臂移动到给定的x，y，z坐标。这一证明涉及三种命名身份，并获得了对机械臂设计的更好理解。(Image threshold segmentation)
    2019-04-14 15:41:02下载
    积分：1
  • Image-and-Video-Steganography-master
    实现了图像与视频的信息隐藏，输入图片和视频可进行效果演示(The information hiding of image and video is realized)
    2021-04-06 11:29:02下载
    积分：1
  • nsct_toolbox-zishiying
    基于NSCT变换的自适应去噪，里面包含仿真图(image denoising)
    2013-08-25 10:17:27下载
    积分：1
  • DCT2-lele
    利用蝶形算法类似于FFT，利用先行再列实现二维DCT。速度很快。包含反DCT的代码。(similar to the use of butterfly FFT algorithm, the first re-use of 2D DCT out. Very fast. Contain anti- DCT code.)
    2007-06-10 20:31:36下载
    积分：1
  • k_t指数
    在对多光谱遥感影像进行大气校正处理以后，可以利用K_T变换矩阵对其进行水体提取，该算法效果较好(After the atmospheric correction of the multispectral remote sensing image, the water body can be extracted by using the k transform matrix, and the effect of the algorithm is good.)
    2019-05-23 20:24:51下载
    积分：1
  • LDPCdwt
    说明：  ldpc码在数字水印方面的研究，可加强对ldpc码的理解(the research about ldpc applied digital watermark,it can decrease ber and improve robutness)
    2009-08-04 18:56:31下载
    积分：1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载

热门标签

Visual C++ matlab C/C++ Java Others Unix_Linux EasyLanguage易语言 Visual Basic C# PDF C++ Delphi VHDL ASP WINDOWS
热门下载

Copyright© 2019-2026 | Powered by Imdn | 浙ICP备16007336号 | IMDN交流 | 联系客服（QQ：3324461878）

本网站资源收集自网络及网站用户上传，若有侵权请邮件至（3324461878@qq.com），核实后我们会在24小时内删除，谢谢！