搜索资源列表
GA-SVM
- 这是一个基于GA优化SVM的程序代码，里面有相对应的数据和程序，希望大家下载，相互学习。-This is a GA based on the SVM optimization of the program code, which has the corresponding data and procedures, I hope everyone to download, learn each other
SVM
- 支持向量机源程序代码，用此程序可以进行数据的分类-Support vector machine source code, using this program can be used for data classification
SVM
- 支持向量机神经网络的信息粒化时序回归预测代码案列，代码易于修改-Support Vector Machines Neural Network Information granulated series regression predictive code text column, easy to modify the code
SVM-pe
- SVM向量机用于目标分类的代码，代码很简单，可以运行，适合新手-The code for the target vector machine SVM classification code is very simple, it can run for novice
SVM
- 该程序是用R软件实现的，支持向量机的代码。-the code of SVM
svm
- SVM支持向量机算法做语音识别的详细仿真实现代码,需要自己准备语音库，依次训练出模板，包含附加调用的函数库在内，欢迎和做语音识别，说话人识别的朋友交流-SVM support vector machine algorithm to do the detailed simulation of voice recognition to achieve the code, you need to prepare their own voice library, followed by training
svm-master
- SVM支持向量机相关代码,matlab源代码分享。-SVM u652F u6301 u5411 u9911 u91CF u673A u76R8 u5173 u4EE3 u7801, matlab u6E90 u4EE3 u7801 u5206 u4EAB u3002
matrbf
- 在MATLAB中调用核函数为rbf的svm，通过训练数据对测试数据进行分类（仅适用于二分类数据）(In MATLAB, use the kernel function rvf svm, through the training data on the test data classification (only for two categories of data))
hog_svm
- hog+svm的Demo，实测可以运行，搭配INRIA图片集准确率为0.96. 不足：直接把图片缩小为64*128来检测，window的滑动没有。(the demo of HOG+SVM, could run,; not enough: it resize image to 64*128. the window have no slide.)
hogsvm
- 结合HOG特征算子和SVM分类器的目标识别代码，这是一个节点性的贡献(Target recognition code combining HOG feature operator and SVM classifier)
sigma点的代码
- 基于分割的局部Sigma语义特征点，是对场景中的语义目标进行建模。先在传统的图像分割基础上，分割出场景的前景目标，再结合像素位置、颜色、Gabor特征和LBP特征[构造出表征目标语义信息的协方差描述子，最后将其转换成欧式空间下的Sigma点特征，适用于标准SVM的场景学习和分类。(The segmentation based local Sigma semantic feature points are modeling the semantic objects in the scene. In
psoSVM
- 粒子群优化支持向量机代码，可用于预测分析(Particle swarm optimization support vector machine code, can be used for predictive analysis)
py脚本
- svm支持向量机，包括训练数据，训练代码和测试代码(SVM support vector machines, welcome to download, including the data set)
facepythonfile
- 两个关于人脸定位和人脸识别的python实现方法的简单代码。(Two simple code about the python implementation of face positioning and face recognition)
7.支持向量机
- python中的sklearn的SVM实例演练代码，立刻熟悉SVM的使用过程以及参数调整(Sklearn's SVM instance drill code in python, immediately familiar with the use of SVM and parameter tuning)
svm
- matlab实现的支持向量机，简易的实现代码学习分享(Matlab support vector machines, simple to achieve code learning to share)
各种分类器matlab程序
- 里面有随机森林，C4.5，ID3，SVM等分类器的matlab代码(There are random forest, C4.5, ID3, SVM classifiers matlab code)
SVM
- 在机器学习中，本代码实现用支持向量机进行分类(In machine learning,this code is implemented using support vector machines for classification)
SVM_GUI_3.1[mcode]{by faruto}
- SVM支持向量机算法，源代码。可以直接运行，非常好用(SVM support vector machine algorithm, source code. Can run directly, very easy to use)
GA_SVM
- 使用遗传算法对支持向量机进行优化的matlab代码(the optimized SVM based on Genetic Algorithm)