搜索资源列表
svm
- 线性SVM算法设计分类器，对一组数据进行分类-Linear SVM classifier algorithm on a set of data classification
SVM
- 该算法为SVM算法的一个简单实现，该算法对于人机交互领域的研究具有很重要的作用。-The algorithm for the SVM algorithm is a simple implementation of the algorithm for human-computer interaction research in the field have a very important role.
SVM-algorithm-and-code
- SVM算法及代码，对新手有用，学习理解支持向量-SVM algorithm and code, useful for the novice, understanding and support vector learning
经典SVM算法matlab程序
- 含有大量的经典的SVM程序，有很多例子，有四种支持向量机的说明…
SMO算法实现
- 使用Matlab重新实现了svm算法中的核心算法SMO，即序列优化问题。 其中my_seqminopt.m是重写的实现代码，完成了核心的迭代优化过程。(MATLAB code of SMO algorithm in SVM algorithm)
ABC_SVM
- svm算法，用于数据挖掘，分类。图像处理(SVM algorithm for data mining, classification. image processing)
SVM
- 一个MATLAB语言写的SVM算法测试例，便于理解SVM二分类方法的实际含义(A MATLAB language written SVM algorithm test case, easy to understand the SVM two classification method of practical significance)
基于SVM的人脸识别源代码
- 本程序是介绍SVM算法的matlab程序，主要用于人脸识别方面(This procedure is introduced SVM algorithm matlab procedures, mainly for face recognition)
SVM.m 2
- 实现基础的SVM算法。利用Matlab自带包。(Implement the underlying SVM algorithm. Use Matlab to bring your own bag.)
Ch12_pres(SVM)
- 支持向量机网络算法原理介绍，对分类器原理大概的了解。(Principle of support vector machine algorithm)
2
- 基于SVM算法和纹理特征提取的遥感图像分类(based on the SVM algorithm and texture feature extraction of remote sensing image classification)
svm
- 使用hog特征进行分类，采用opencv里的svm算法(By using the hog feature,we classfy the face images with svm algorithm.)
PCA-SVM-master
- PCA/SVM算法实现图像分类，分类准确率可到达90%(Image classification by PCA/SVM algorithm)
SVM机器学习算法
- 该文件主要包含了Matlab条件下开发的SVM算法，该算法主要用于机器视觉的学习与分类(The file mainly includes the SVM algorithm developed under the Matlab condition, which is mainly used for learning and classification of machine vision.)
经典SVM算法matlab程序
- 经典SVM算法matlab程序，亲测好用(Classic SVM algorithm matlab program)
SVM
- 包含完整的SVM算法，下载即可使用。其中包括数据集和完整的算法结构，算法结构包括数据清理、核函数升维以及SMO优化算法，可以较好实现数据非线性分类。(Contains the complete SVM algorithm and download it for use. Including the data set and the complete algorithm structure, the algorithm structure includes data cleaning, kerne
svm
- 该代码实现了经典的SVM支持向量机算法，Python语言编写，产生结果图。(This code implements the classic SVM support vector machine algorithm, Python language, and produces the result graph.)
PCA+SVM
- 用于人脸识别，包含了PCA及SVM算法，数据集采用的ORL数据库(face recognition(PCA+SVM))
SVM做图片处理
- 使用SVM算法对CIFAR-10图片数据集进行分类，包括模型的训练，测试和参数的调优(Using SVM algorithm to classify CIFAR-10 image data sets, including model training, testing and parameter tuning)
SVM
- 使用SVM算法实现数据分类预测，编程使用MATLAB实现(SVM algorithm is used to realize data classification and prediction, and programming is realized by MATLAB.)