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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
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
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
zonghe
- 线性分类器设计：包括感知机算法，最小二乘法，线性SVM算法（模式识别作业）-Linear classifier design: including perceptron algorithm, least squares, linear SVM algorithm（ pattern recognition task）
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
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
ClassResult
- 手写体SVM分类器的设计源代码，，挺好的，可以参考-SVM Handwritten classifier design, source code, very good, can refer to .
svm
- 支持向量机分类器，可以用于手写分类，车牌字符分类等-Support vector machine classifier
Scene-Classification
- 提供了三类场景“bedroom”、“CALsuburb”、“industrial”的样本特征集以及原始图像，分别用线性分类器、树状分类器、SVM分类器以及AdaBoost分类器对其进行区分。其中AdaBoost分类器有部分内容调用了Vezhnevets Alexander编写的源码-Provides three types of scenes " bedroom" , " CALsuburb" , " industrial" sample fea
code
- 基于词袋的场景分类，分类器采用SVM和最近邻，需要vlfeat和图片见http://cs.brown.edu/courses/csci1430/proj3/-Based on word bag scene classification, SVM classifier using the nearest neighbor and need vlfeat and pictures see http://cs.brown.edu/courses/csci1430/proj3/
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.
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)
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.)
letters_svm
- 在halcon集成环境中,和如何估简单向量机进行字符识别.(* This example program shows how to use a simple SVM OCR classifier)