搜索资源列表
SVM
- 使用HOG提取特征,SVM进行图像分类,可以进行两种以上分类(Using HOG to extract features and SVM for image classification)
SVM论文1
- SVM图像分类的论文5篇,是最近几年的,有参考价值(5 papers on the classification of SVM images, which are of reference value in recent years.)
svm
- SVM支持向量机(Support Vector Machine),使用svm实现样本分类(SVM (Support Vector Machine) classification)
SVM工具箱
- 四种SVM工具箱的分类与回归算法LS_SVMlab、OSU_SVM3.00、stprtool\svm、SVM_SteveGunn(Classification and regression algorithm of four kinds of SVM toolbox LS_SVMlab,OSU_SVM3.00,stprtool\svm,SVM_SteveGunn)
SVM
- 它分类的思想是,给定给一个包含正例和反例的样本集合,svm的目的是寻找一个超平面来对样本根据正例和反例进行分割。(The idea of classification is to give a sample set containing positive and negative examples. The purpose of SVM is to search for a hyperplane to segment samples based on positive and negative
CNN
- 使用cnn提取图像特征,然后用SVM分类,此处没有给出训练集,另外imagenet-caffe-alex部分代码需要注意,需要下载的话把注释掉的代码打开(Using CNN image feature extraction, and then use the SVM classification, there were no given training set, also need to pay attention to imagenet-caffe-alex part of the code
SVMTrain
- 基于OpenCV SVM分类器的一个行人检测程序,可以自己制作样本训练,VS2010亲测可用,随时解答问题(A pedestrain detection program based on OpenCV SVM)
svm
- 分类,支持向量机的一个小应用。。。。。。。。(The programe is on the research of classment by the method of svm)
hog_svm_facedet
- 使用hog特征以及svm分类实现人脸检测,准确率高(face detection used hog+svm)
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
- 基于SVM的用户价值分类,用于判断用户潜在的价值以便于进行客户挽留。(User Value Analysis based on SVM)
高级分类器:支持向量机( SVM)
- 利用R语言实现高级分类器,支持向量机( SVM)(Advanced classifier, support vector machine (SVM))
SVM 印章分类
- matlab 开发,使用SVM方法实现印章和背景的自动分类,分类效果较好(Matlab development, using SVM method to realize automatic classification of seal and background, the effect of classification is better)
SVM文本分类实验平台
- 内有svm文本分类开发源码,和具体的说明文档(There are SVM text categorization development source code, and specific documentation)
简单之美 _ 使用libsvm实现文本分类
- svm文本分类,简单易行,内有详细说明,可以参考(SVM text categorization, simple and easy, detailed descr iption)
前上右左手向有摆动svm算法85.333%
- 使用matlab libsvm 工具箱能够实现多分类任务(LIBSVM classification)
08015450NcutClustering
- 非常好用,可以很简单地实现SVM分类和回归,一定要用,力推!(very easy to use, you can very simplely implementation of SVM classification and regression, must use, pushing!))
SVM
- SVM(Support Vector Machine)指的是支持向量机,是常见的一种判别方法。在机器学习领域,是一个有监督的学习模型,通常用来进行模式识别、分类以及回归分析。(It is a common discriminant method. In machine learning, it is a supervised learning model, usually used for pattern recognition, classification and regression an
rbf-svm.py
- 通过SVM可以对两个半月形的数据簇进行分类(By using SVM, two semilunar data clusters can be classified.)
SVM
- SVM(Support Vector Machine)指的是支持向量机,是常见的一种判别方法。在机器学习领域,是一个有监督的学习模型,通常用来进行模式识别、分类以及回归分析。(SVM (Support Vector Machine) refers to support vector machines, which is a common method of discrimination. In the field of machine learning, it is a supervised l