搜索资源列表
hog_svm
- 利用hog特征以及svm实现两个类别图像的分类(Classification of two categories of images using hog features and SVM)
LSSVMlabv1_8_R2009b_R2011a
- 最小二乘支持向量机，功能（实现回归预测和分类）(least squares support vector machine)
svmcx调试成功
- SVM安装包 安装之后可以进行 分类或者回归预测(SVM installation package can be classified or regression prediction after installation)
SVMmodel
- 应用支持向量机对企业贷款能力做合理的分类评价(Applying support vector machines to make reasonable classification and evaluation of enterprise loan ability)
svm_NonLinear
- 非线性的SVM，利用核函数对所归一化后数据进行处理，得到分类结果(svm_NonLinear Nonlinear SVM, using the kernel function to normalize the data to be processed, the classification results)
SVM
- 支持向量机，进行数据的预处理，属于浅层神经网络，适用于基础的分类、。(Support vector machine (SVM) is used to preprocess the data, which belongs to the shallow neural network, and is suitable for the basic classification,)
svm_images
- 识别图像，利用HOG特征，svm分类方法，区别率较高(Recognition of images, the use of HOG features, SVM classification method, the distinction rate is higher)
svmtrain
- 基于支持向量机的对指定多个包含特征的训练集图片，包含label信息。训练后，可对于相同格式的图片进行分类。(A training set image containing multiple features is included in the support vector machine (SVM), which contains label information. After training, the pictures in the same format can be classifi
SVM
- 模式识别分类，支持向量机，二分类算法，库函数实现(Pattern recognition classification)
图像分类
- 这里使用svm支持向量机对多类图像进行分类
28 梁晏宾
- 1.采用遗传算法对男女生样本数据中的身高，体重，喜欢数学，喜欢文学，喜欢运动，喜欢模式识别共6个特征进行特征选择，并基于所得到的最佳特征采用SVM设计男女生分类器，并计算模型预测性能（包含SE,SP,ACC和AUC ）。要求自行编写代码实现遗传算法。(1. using genetic algorithm based on the sample data of male and female students in height, weight, love mathematics, love li
BingObjectnessCVPR14
- 检测行人目标，利用特征算子sift和svm分类器构建(visual sitf detect)
main
- 实现基于hog特征的svm分类器实现粉刺识别(Realization of svm classifier based on hog feature for acne recognition)
text-classification
- 文本分类程序，很多的算法集合，还有各个算法的结果比较(Text classification procedures, the set of many algorithms and compare the results of the algorithm)
Svm_OneVersusOne
- 支持向量机 多分类 基于1V1的方法 对多类数据进行分类(Support Vector Machine Multi-classification Based on 1V1 method to classify multiple types of data on compensation)
libsvm-3.20
- 分类算法 支持向量机 可以用来进行分类 matlab格式的(Support Vector Machine)
SVM人脸识别2
- 实现人脸识别，分类器用svm,功能非常好，改名易于理解，适合初学者(The realization of face recognition, the classifier uses SVM, the function is very good, the Rename is easy to understand, suitable for the beginner.)
eyksti043
- SVM分类器的实现原码,SVM是一类基于统计学习理论的模式识别方法()
(PCA+SVM)人脸识别
- 人脸识别，降维 加分类，主成分分析降维，支持向量机分类(Face recognition, principal component analysis reduced Vega classification, dimension reduction, support vector machine classification)
svmguide4
- libsvm 在matlab 中的应用之多分类预测问题方法一对多(One of many ways to apply libsvm to matlab in multi-classification prediction problem)