搜索资源列表
S200502106_SVM_for_classfication
- SVM用于模式识别 整理别人的代码（原来的是英文）所得： kernel.m用于内积矩阵的计算 svcplot.m用于绘图 svm168.m是主程序 testlin.m是采用线形内积函数的支持向量机应用的 文件 testrbf.m是采用RBF内积函数的支持向量机应用 的 文件 每个文件中都有说明。 仿真平台matlab7.0, 仿真全部通过 将所有文件拷贝到work目录下（注意不要直接将上层文件夹直接拷贝到work目录下，若那样操作，必须在matla
TomoEye
- Webcam Face Tracking,real-time images from a webcam and converts them to grayscale images. Then, it extracts pre-defined feature vectors from the images and sends them to Support Vector Machine (SVM) to get the classification. Using the result, our p
matlab-SVM
- 本资料包括实验要求文档，报告文档，训练及测试数据，matlab源代码。就给定问题，利用SVM来进行分类。SVM包括hardmargin的线性和非线性内核，softmargin的线性和非线性内核分别来分类以及评估分类准确度-a MATLAB (M-file) program to compute the discriminant functiong for the following SVMs, using the training set provided：A hard-margin SVM
Multi-class-SVM--LS_SVMlab
- 工具箱：LS_SVMlab Classification_LS_SVMlab.m - 多类分类 Regression_LS_SVMlab.m - 函数拟合-Toolbox: LS_SVMlab Classification_LS_SVMlab.m- multi-class classification Regression_LS_SVMlab.m- function fitting
Multi-class-SVM--OSU_SVM3.00
- 一款基于svm的程序，在windows下运行，主要用于svm分类-Toolbox: OSU_SVM3.00 Classification_OSU_SVM.m- multi-class classification
lssvm_demo.m
- LS-SVM Leave-One-Out Cross-Validation Demo G. C. Cawley, "Leave-one-out cross-validation based model selection criteria for weighted LS-SVMs", Proceedings of the International Joint Conference on Neural Networks (IJCNN-2006), pages 1661-1668, Vanco
SVM
- SVM简单应用，最基础的SVM用法，可以入门学习。matlab m文件-SVM simple application, SVM usage is most basic, entry learning
code-faceGUI.m
- 图形界面的人脸识别代码，PCA+SVM多分类，yale图片库-Face recognition codes in GUI, PCA+SVM multi-classification, yale gallery
mlclass-ex6
- 支持向量机，实现2或多分类，基于matlab仿真，内有说明-ex6.m- Octave scr ipt for the rst half of the exercise ex6data1.mat- Example Dataset 1 ex6data2.mat- Example Dataset 2 ex6data3.mat- Example Dataset 3 svmTrain.m- SVM rraining function svmPredict.m- SVM p
最小二乘支持向量机
- 最小二乘支持向量机在建模过程中的使用，可适用于各种系统，方便广大使用者下载使用，内有丰富的M文件，功能完善，内核多样，能满足各种建模系统。
SVM-master
- Improved Support Vector Machine in MATLAB. Some other functions included as we-This is a improved SVM learner coding in MATLAB. I constructed a new N-Dimensional Hessian Matrix and Gradient Vector builder in costFcn.m. Check the comments in the funct
m
- 基于RFE-SVM进行两类的特征提取算法，能够提取出最佳的变量，已经经过测试，绝好的算法-two kinds of feature extraction algorithm based on RFE-SVM, it can extract the best variables,it has been tested,it is the best algorithm
cube.m
- Simulation of applying a dataset of cubic form to an SVM of radial basis kernel, quadratic kernel and cubic kernel.
quadratic.m
- Simulation/visual plots of a quadratic dataset applied to an SVM having three kernel functions i.e. radial basis, quadratic and cubic kernel functions.
ellipse.m
- Simulation/visual plots of an ellipsoid dataset applied to an SVM having three kernel functions i.e. radial basis, quadratic and cubic kernel functions.
svm-rbf-demo
- 一个SVM的demo，RBF demo matlab程序,运行demo.m即可-A demo RBF, demo matlab SVM program, running demo.m can be
svm
- SVM ： /kernel.m /main.m /svmTest /svmTrain.m 亲测可用，直接运行main函数-SVM ： /kernel.m /main.m /svmTest /svmTrain.m
SVMRFE.m
- 基于RFE特征选择方法的多分类特征排序，Matlab平台(Multi class feature ranking based on RFE method)
基于支持向量机的图像分类
- classifier.mat文件太大未上传。可运行一次main3生成 getFeatures.m 获取灰度共生矩阵相关特征 main-main6 训练 + 识别 predict.m 单独的分类程序 temp.m 单独的分类演示程序(classifier.mat file is too large to upload. Can run a main3 to generate getFeatures.m Get the grayscale co-occurrence matrix rel
植物虫害检测（GUI，注释，svm算法）
- 植物虫害检测（GUI，注释，svm算法） 该课题为基于MATLAB SVM方法的植物病害检测系统，带GUI界面，可以识别多种被虫害侵蚀的植物叶子，输出结果。带论文和详细注释。 train 对黄瓜子文件夹所有图片提取 颜色矩特征和gabor纹理特征，然后svm训练 test 对测试图像灰度化，滤波，提取 颜色矩特征和gabor纹理特征，然后svm模型测试，输出类别 colorMom.m 颜色矩特征提取 Gabor_palm.m gabor纹理特征提取(Plant pe