登录
首页 » matlab » svm

svm

于 2020-07-08 发布 文件大小:600KB
0 246
下载积分: 1 下载次数: 128

代码说明:

  图像处理模式识别一种分类算法:svm,对于所提取的图像的特征进行训练学习然后分类。(Image processing, pattern recognition of a classification algorithm: SVM trained to learn the characteristics of the extracted image and then classified.)

文件列表:

svm程序
.......\libsvm-3.11
.......\...........\libsvm-3.11
.......\...........\...........\A.mat,8925,2012-04-08
.......\...........\...........\B.mat,10063,2012-04-08
.......\...........\...........\htm" target=_blank>COPYRIGHT,1497,2012-04-06
.......\...........\...........\FAQ.html,71213,2012-04-06
.......\...........\...........\htm" target=_blank>heart_scale,27670,2012-04-06
.......\...........\...........\java
.......\...........\...........\....\libsvm
.......\...........\...........\....\......\svm.java,62406,2012-04-06
.......\...........\...........\....\......\svm.m4,61755,2012-04-06
.......\...........\...........\....\......\svm_model.java,734,2012-04-06
.......\...........\...........\....\......\svm_node.java,115,2012-04-06
.......\...........\...........\....\......\svm_parameter.java,1288,2012-04-06
.......\...........\...........\....\......\svm_print_interface.java,87,2012-04-06
.......\...........\...........\....\......\svm_problem.java,136,2012-04-06
.......\...........\...........\....\libsvm.jar,50037,2012-04-06
.......\...........\...........\....\Makefile,624,2012-04-06
.......\...........\...........\....\svm_predict.java,4267,2012-04-06
.......\...........\...........\....\svm_scale.java,8944,2012-04-06
.......\...........\...........\....\svm_toy.java,11483,2012-04-06
.......\...........\...........\....\svm_train.java,8268,2012-04-06
.......\...........\...........\....\test_applet.html,81,2012-04-06
.......\...........\...........\Makefile,559,2012-04-06
.......\...........\...........\Makefile.win,1087,2012-04-06
.......\...........\...........\matlab
.......\...........\...........\......\libsvmread.c,4014,2012-04-06
.......\...........\...........\......\libsvmwrite.c,2148,2012-04-06
.......\...........\...........\......\make.m,799,2012-04-06
.......\...........\...........\......\Makefile,1499,2012-04-06
.......\...........\...........\......\htm" target=_blank>README,9618,2012-04-06
.......\...........\...........\......\svmpredict.c,9263,2012-04-06
.......\...........\...........\......\svmtrain.c,11371,2012-04-06
.......\...........\...........\......\svm_model_matlab.c,7722,2012-04-06
.......\...........\...........\......\svm_model_matlab.h,201,2012-04-06
.......\...........\...........\python
.......\...........\...........\......\Makefile,32,2012-04-06
.......\...........\...........\......\htm" target=_blank>README,11051,2012-04-06
.......\...........\...........\......\svm.py,8602,2012-04-06
.......\...........\...........\......\svmutil.py,8119,2012-04-06
.......\...........\...........\htm" target=_blank>README,27193,2012-04-06
.......\...........\...........\svm-predict.c,5381,2012-04-06
.......\...........\...........\svm-scale.c,7042,2012-04-06
.......\...........\...........\svm-toy
.......\...........\...........\.......\gtk
.......\...........\...........\.......\...\callbacks.cpp,9742,2012-04-06
.......\...........\...........\.......\...\callbacks.h,1765,2012-04-06
.......\...........\...........\.......\...\interface.c,6457,2012-04-06
.......\...........\...........\.......\...\interface.h,203,2012-04-06
.......\...........\...........\.......\...\main.c,398,2012-04-06
.......\...........\...........\.......\...\Makefile,573,2012-04-06
.......\...........\...........\.......\...\svm-toy.glade,6402,2012-04-06
.......\...........\...........\.......\qt
.......\...........\...........\.......\..\Makefile,392,2012-04-06
.......\...........\...........\.......\..\svm-toy.cpp,9153,2012-04-06
.......\...........\...........\.......\windows
.......\...........\...........\.......\.......\svm-toy.cpp,10807,2012-04-06
.......\...........\...........\svm-train.c,8891,2012-04-06
.......\...........\...........\svm.cpp,62947,2012-04-06
.......\...........\...........\svm.def,434,2012-04-06
.......\...........\...........\svm.h,3129,2012-04-06
.......\...........\...........\tools
.......\...........\...........\.....\checkdata.py,2478,2012-04-06
.......\...........\...........\.....\easy.py,2699,2012-04-06
.......\...........\...........\.....\grid.py,11850,2012-04-06
.......\...........\...........\.....\htm" target=_blank>README,4728,2012-04-06
.......\...........\...........\.....\subset.py,3004,2012-04-06
.......\...........\...........\windows
.......\...........\...........\.......\libsvm.dll,140800,2012-04-06
.......\...........\...........\.......\libsvmread.mexw32,8192,2012-04-06
.......\...........\...........\.......\libsvmread.mexw64,10752,2012-04-06
.......\...........\...........\.......\libsvmwrite.mexw32,7680,2012-04-06
.......\...........\...........\.......\libsvmwrite.mexw64,9216,2012-04-06
.......\...........\...........\.......\svm-predict.exe,107008,2012-04-06
.......\...........\...........\.......\svm-scale.exe,80384,2012-04-06
.......\...........\...........\.......\svm-toy.exe,140800,2012-04-06
.......\...........\...........\.......\svm-train.exe,135680,2012-04-06
.......\...........\...........\.......\svmpredict.mexw32,20480,2012-04-06
.......\...........\...........\.......\svmpredict.mexw64,24064,2012-04-06
.......\...........\...........\.......\svmtrain.mexw32,49152,2012-04-06
.......\...........\...........\.......\svmtrain.mexw64,62976,2012-04-06
.......\thrshowsvm.m,504,2012-04-06

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

  • Saolei
    一个扫雷应用程序,在VC下开发,用来提高编程水平(A de-mining applications, developed in the VC used to improve the programming level)
    2007-11-23 11:11:51下载
    积分:1
  • nsst
    nsst域内基于区域能量和区域方差取最大值的图像融合算法,简单易懂。主程序高频区域能量取大,低频加权平均,读者可自行修改。(nsst maximum value within an image fusion algorithm based on regional energy and regional variance, easy to understand. Main high-frequency energy to take large area, low-weighted average, readers can modify.)
    2016-08-05 17:47:52下载
    积分:1
  • THEPROBABILITYH-THEVIDENCEFUSION
    针对杂波环境下的多个机动目标跟踪问题, 本文将多模型概率假设密度 (Multiple-model probability hypothesis density, MM-PHD) 滤波器和平滑算法相结合, 提出了 MM-PHD 前向 – 后向平滑器. 为了避免引入复杂的随机有限集 (Random finite set, RFS) 理论, 本文根据 PHD 的物理空间 (Physical space) 描述法推导得到了 MM-PHD 平滑器的后向更 新公式. 由于 MM-PHD 前向–后向平滑器的递推公式中包含有多个积分(By integrating the multiple-model probability hypothesis density (MM-PHD) filter with the smoothing al- gorithms, an MM-PHD forward-backward smoother is proposed in this paper for tracking multiple maneuvering targets in clutter. To avoid use of complex random finite set (RFS) theory, the backward updated equation of the MM-PHD smoother can be derived according to the physical-space explanation of the PHD)
    2013-09-23 15:36:28下载
    积分:1
  • phase-unwrapping-precision-analyse
    该程序的功能是实现干涉雷达数据进行相位解缠后,如何进行解缠精度的分对比分析。(The function of the program is to achieve interferometric radar data phase unwrapping unwrapping accuracy points comparative analysis.)
    2021-02-19 11:19:44下载
    积分:1
  • c# 将图片和文字合成到一张图中 实例源码
    图片文字 合成实例
    2013-04-23下载
    积分:1
  • featureextraction
    特征提取: 提取了图像中各个标记区域的纹理特征及形状特征,标注详细(King Lek qiong 取: Joan 取了 Minghao Shilu rude plugging 各个标记区 的 理 Canton King Lek Lek 及 near Durian King, 标 downtown Circle Jiu)
    2007-07-14 10:57:12下载
    积分:1
  • pingyi
    说明:  用matlab语言开发的图像平移程序,包含测试图片(Matlab language used to develop the image translation process, including test picture)
    2008-11-22 21:21:13下载
    积分:1
  • 图像融合程序 fusion
    图像融合程序,及论文 图像融合程序,及论文 图像融合程序,及论文(Image fusion procedure, and the paper image fusion procedure, and the paper image fusion process, and papers)
    2009-06-05 17:00:04下载
    积分:1
  • highresolution
    这是一本关于超分辨的英文书籍,希望对大家有用1(This is a english book about super-resolution,hope to help you!)
    2021-04-09 15:38:59下载
    积分:1
  • ukf
    经典的ukf跟踪框架与源码,有详细的注释以及说明,适合初学者。(Classic ukf tracking framework and source code, detailed notes and instructions for beginners.)
    2010-06-12 10:44:36下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载