搜索资源列表
27796720simple-SVM
- 支持向量积的一些分类器训练的matlab代码-support vector plot of some classifier training Matlab code
svm_multiclass.tar
- SVM支持向量机多分类器源码，用过的，绝对好用-SVM SVM classifier source, used absolutely everything
PCA_SVM.rar
- 此方法采用经典的PCA对人脸图像进行特征提取，用libsvm库函数的SVM分类器对图像分类。,This method uses the classical PCA on the face image feature extraction, with the libsvm library function of SVM classifier for image classification.
peopledetect
- 检测摄像头中的行人。使用OPENCV 默认的SVM分类器-Pedestrian detection in the camera. Use the default SVM classifier OPENCV
svm
- 选用支持向量机作为区分文本与非文本的分类器，支持向量机是在统计学习理论基础上发展起来的新一代学习算法，它在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势。-Use support vector machine as the distinction between text and non-text classifier, support vector machine is in statistical learning theory developed on the basis of
SVMAPP
- SVM分类器，可用于训练样本值，仅供参考，交流，学习-SVM classifier, the value of training samples can be used for reference purposes only, communication, learning
train
- 进行svm分类器的训练，作为人脸检测的人脸分类器-For svm classifier training as face detection face classifier
000
- 支持向量机(svM)是一种新的机器学习技术。本文采用一对一方法构建多分类SVM 分类器。利用常用的灰度共生矩阵方法提取图像纹理特征，组成特征向量，输入构建好的SVM 多分类器中进行分类。对从Brodatz纹理库中选取的4张纹理图像进行了分类实验，取得较好的 分类结果-Support vector machine (svM) is a new machine learning techniques. In this paper, one way to build a multi-cla
01
- 的研究彩色数字图像的计算机分类识别方法并应用于古瓷片的自动分类。方法提出 了一种色彩纹理特征的提取模型，采用该模型，利用IGabor滤波器提取数字图像的色彩纹理特征， 并构造支持向量分类机(SVM)分类器组。结果实现了高准确率多类别图像的自动分类识别，并 成功应用于古瓷片的自动分类。结论色彩纹理特征提取方法将颜色与纹理进行融合，增强了数 字图像之间的特征区分能力。-Study color digital image classification and recognition m
PCA-and-SVM-Face-recognition
- 采用PCA对人脸特征进行抽取，用SVM多累分类器对人脸进行识别，有操作界面-Using PCA for facial feature extraction, and more tired with the SVM classifier for face identification, a user interface
svm
- python语言写的SVm分类器，自己写的，完全可用！-python language written SVm classifier, write your own, completely free!
Nonlinear-SVM-classifier-design
- 模式识别领域非线性SVM分类器设计原理，代码及过程-Pattern recognition domain nonlinear SVM classifier.experimental design principle, the code and process
svm-ses
- 分别采用感知机算法、最小平方误差算法、线性SVM算法设计分类器，分别画出决策面，并比较性能。-The machine algorithm respectively perception, the minimum square error algorithm, linear SVM classifier algorithm design, respectively, draw the decision surface, and compare the performance.
svm
- 实现SVM分类器的训练，利用提取得到的特征训练得到分类器-The training of the SVM classifier using the extracted features training the classifier
SVM
- 基于svm的分类器设计程序，模式识别分类器设计中很有用，值得分享。-Pattern recognition classifier design based on the the the svm classifier design program, useful and worth sharing.
SVM
- 这个是一个SVM分类器，可以直接使用，当然也有代码~-This is a SVM classifier, can be used directly, of course, there are code ~
C-SVM
- SVM 分类器，用于对正负样本进行分类，机器学习内容-svm classifier，classify positive and negative samples，machine learning
SVM
- 这是一个SVM分类器，可以实现对人脸的识别，里面有数据库。用的时候要先添加路径。-This is a SVM classifier, can be achieved on the face recognition, which has a . Use the time to add the path.
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)
hog_svm
- 这文件夹包含了，hog特征提取，多类SVM分类器，数据库，图像识别(This folder contains the hog feature extraction, multi class SVM classifier, database, image recognition)