搜索资源列表
amspmbly
- 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取,-MATLAB prepared by the SVM source program, can realize the support vector machine (SVM), used for extracting feature classification or,
souvce-very
- 用matlab编写的用语分类的支持向量机 不错的源码 很好-Using matlab language classification support vector machine (SVM) good source is very good
dte
- 支持向量机方法,用matlab实现,用于分类检测,模式识别,人脸检测等-Support vector machine (SVM) method, matlab, used for classification, pattern recognition, face detection, etc
yonfqp83
- 用matlab编写的用语分类的支持向量机 不错的源码 很好-Using matlab language classification support vector machine (SVM) good source is very good
hog_svm
- 利用HOG算子提取特征，利用支持向量机进行分类，得到了较好的图像分割效果(Using HOG operator to extract features, using support vector machine to classify, get a better image segmentation effect)
SVM
- 配置opencv库，SVM训练和分类，显示分类结果，和支持向量机。对于初学者了解SVM分类器由一定帮助(Configure the opencv library, SVM training and classification, display classification results, and support vector machines. For beginners understand the SVM classifier by some help)
XBCLNE
- 一个支持向量机的matlab工具箱,具有分类,拟合等功能,希望大家下载研学阿！(A matlab toolbox, support vector machine (SVM) classification, the function such as fitting, hope everyone to download research study!)
33754289
- 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取,(MATLAB prepared by the SVM source program, can realize the support vector machine (SVM), used for extracting feature classification or,)
ingineering
- 用matlab编写的用语分类的支持向量机 不错的源码 很好(Using matlab language classification support vector machine (SVM) good source is very good)
73462685svm
- 关于matlab图像处理 识别 分类 神经网络 支持向量机(About MATLAB image processing, recognition, classification)
HOG
- 将这330个3780维的HOG特征当做测试样本，用支持向量机（SVM）分类器来判别出，这些窗口的HOG特征是否有行人，有行人的用矩形框标记起来。HOG行人特征及所对应的SVM分类器的参数，在opencv中已经训练好了，我们只需要得到HOG特征，然后调用SVM即可得到判别结果(The 330 Hera features of 3780 dimensions are used as test samples, and the support vector machine (SVM) classifi
svm_demo
- SVM（支持向量机）常被用于二元分类问题中。此文件包含svm_predict、svm_train、svm_scale等源文件和若干训练文件，可以在VS中实现SVM的基本分类功能。(Support vector machine is often used in two elements classification problem. This file contains svm_predict, svm_scale, svm_train and other source files, and a
fsyplvs
- 使用SVM支持向量机 预测分类 使用SVM支持向量机 预测分类()
unarq
- 支持向量机模式分类程序,可对两类模式进行分类识别()
Toimsr
- 用支持向量机(SVM)实现分类与函数回归的源代码,内有实例,依湖芦画瓢即可,()
323100
- 支持向量机模式分类程序,可对两类模式进行分类识别()
wnit
- 支持向量机,用于分类,Classify using (a very simple implementation of) t()
1324802
- 用支持向量机(SVM)实现分类与函数回归的源代码,内有实例,依湖芦画瓢即可,()
PCA+SVM
- 先用PCA降维，在利用支持向量机进行分类，这个分类是二分类，所以PCA的降维降到两维即可分类。(Firstly, PCA dimensionality reduction is used to conduct classification with support vector machine. This classification is binary classification, so the dimensionality reduction of PCA can be reduced t
改进svm
- phog方法提取图像特征，svm支持向量机进行分类，分别有GA遗传算法和PSO粒子群优化算法进行寻优。(Phog method extracted image features, SVM support vector machine classification, respectively, GA genetic algorithm and PSO particle swarm optimization algorithm for optimization.)