登录
首页 » matlab » SVM-Classification

SVM-Classification

于 2021-04-07 发布 文件大小:3886KB
0 198
下载积分: 1 下载次数: 724

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

  • pso
    说明:  对不同噪声强度的加噪图像,用粒子群优化算法优化结构元素,找到最优结构元素,对图像进行去噪操作,使恢复的图像达到最大峰值信噪比(Noise intensity for different images with noise, using particle swarm optimization algorithm to optimize the structure elements, find the optimal structure element, the image de-noising operation to restore the image to a peak signal to noise ratio)
    2010-04-13 15:53:52下载
    积分:1
  • SAMP
    稀疏自适应匹配追踪算法,无需稀疏度,就可以重构原始信号。(Sparse adaptive matching pursuit algorithm, without sparsity, we can reconstruct the original signal.)
    2021-02-23 16:59:40下载
    积分:1
  • SPIHT
    通过多分辨率分解,实现红外图像的增强,改善图像的对比度(Through a multi-resolution decomposition, to achieve enhanced infrared image)
    2010-10-09 21:02:00下载
    积分:1
  • ChaosImageCode
    一个用VC编的混沌图像加密程序,演示了如何读写图像,如何用混沌算法加密解密。(a program for encrypting image by chaos algorithm,based on VC.)
    2017-11-03 09:36:54下载
    积分:1
  • fdct_wrapping
    曲波变换程序代码,实现图像的曲波分解以及显示,可以去图像进行曲波去噪增强,对彩色图像空间模型转化后提取曲波信息(Qu Bo transform program code, and display the image decomposition Qu Bo, Qu Bo can go to image edge enhancement, color image space model for transforming information extracted after Qu Bo)
    2013-11-05 11:33:51下载
    积分:1
  • BP
    说明:  利用线性规划问题求解稀疏恢复问题的基追踪(basis pursuit,BP)算法,研究了在含有脉冲噪声干扰的原始信号环境下对经典基追踪算法的改进。(basis pursuit (BP) algorithm)
    2018-06-08 21:40:56下载
    积分:1
  • junzhilvbo
    用matlab实验的进行均值滤波的改进函数(Experiments carried out using matlab mean filter to improve the function of)
    2009-07-07 20:36:07下载
    积分:1
  • ALOHA-Matlab
    时隙 ALOHA(Slotted ALOHA)算法是在纯ALOHA 算的基础上将时间分成了多个离散的时隙,被分割成的时隙的长度要大于标签所携带数据信息帧的长度(Slot ALOHA (Slotted ALOHA) algorithm is based on pure ALOHA time will be counted into the slot more discrete, divided into the slot length is greater than the length of the data label information carried by the frame)
    2015-03-12 17:12:22下载
    积分:1
  • NSCT_zhu20182
    说明:  用于医学图像融合CT和MRI灰度图像,MRI和PET的彩色图像融合(For medical image fusion)
    2020-10-13 10:59:32下载
    积分:1
  • Hough
    实现Hough直线检测,标记直线的两端点坐标,再对相似的直线做曲线拟合,可以完美实现边缘连接。(Hough line detection, marking a straight line at both ends of point coordinates, similar linear curve fitting, can be the perfect realization of the edge connector.)
    2012-08-27 14:51:42下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载