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bayescode
- 一种自己设计的贝叶斯分类器,具有一定的参考价值-A kind of self-designed Bayesian classifier, with some reference value
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
face
- FaceDetection是一个静态人脸检测程序,注意FaceDetection需要OpenCV提供的库支持,因此请首先到相关网站上下载并安装OpenCV,此外本程序需要导入一个分类器文件haarcascade_frontalface_alt.xml,该文件在OpenCV中提供,请读者将该文件复制到程序同一目录下,程序即可正确运行。-FaceDetection is a static face detection process, note FaceDetection need OpenCV l
c_FaceRecognition
- 利用haar小波调用分类器检测人脸,代码清晰,并有注释。是初学者的好帮手!-Haar wavelet call classifier using face detection, code clarity, and a comment. Is a good helper for beginners!
bayes-
- 贝叶斯分类器VC源代码(内附说明)-Bayesian classifier VC source code (with explanation)
461518386Yale_PCASVM
- 程序包实现了几个常用的模式识别分类器算法,包括K近邻分类器KNN、线性判别方程LDF分类器、二次判别方程QDF分类器、RDA规则判别分析分类器、MQDF改进二次判别方程分类器、SVM支持向量机分类器。-svm apply to fenlei
fuadabo
- vc++ OPENCV实现人脸检测 HAAR分类器实现的-vc++ OPENCV implementation of face detection classifier achieved HAAR
svm
- SVM分类器 分类各种图片的类别 分类各种图片的类别 -SVM classifiers various pictures of various categories of classification of classified images of various image types
svmcls-(2)
- 李荣陆老师做的文本分类器,用中科院分词系统做的,分类方法用的是SVM和K-Rong Lu teachers do text classification, word segmentation system with the Chinese Academy of Sciences to do, classification using a SVM and KNN
pereceptron
- 感知器算法分类器,感知器是一种双层神经网络模型,一层为输入层,另一层具有计算单元,可以通过监督学习建立模式判别的能力-Perceptron Algorithm classifier, perceptron neural network model is a double layer of input layer, another layer with a calculation unit, you can determine by monitoring the ability of learni
IrisClassification
- Iris数据集的分类程序,包括线性分类器实验,BP网络分类器实验,以及异或数据的BP网络分类实验,外带试验报告-Iris data set of classification procedures, including linear classification experiment, BP network classifier experiments, and different BP networks or data classification experiment, take-test
test
- 基于朴素贝叶斯的文本分类器,使用Visual C# 2005编写-the text-based Naive Bayesian classifier
svmfenleiqiyuanli
- svm分类器原理详细描述,值得一看,希望对你有帮助-svm classification theory described in detail, worth a visit, I hope to help you
svmcls
- 基于KNN+SVM算法的文本分类器,附带权威的分词词库及算法,有界面,程序可正常使用-KNN+ SVM-based text classification algorithm, with the authority of the sub-word thesaurus and algorithm, a interface, the program can be used normally
svm
- svm分类器,有几类样本点,利用线性SVM分类器求出其分界面-svm classifier, there are several types of sample points, using a linear SVM classifier obtained the sub-interface
LDA
- 有几类样本点,试利用LDA分类器、求出其分界面,并分析这类分类器的特点。-There are several types of sample points, try using Fisher classifier, find the sub-interface, and analyze the characteristics of such classification.
03
- 类的目的就是根据现有的图像特征建立一个分类器,能够对未知的图像类型进行预测。在现有众多分类 算法中,贝叶斯分类器由于其坚实的数学理论基础并能综合先验信息和数据样本信息,成为"-3前机器学习和数据挖 掘的研究热点之一。本文论述了内容图像检索中基于贝叶斯分类器的图像分类技术。介绍了贝叶斯分类器,叙述了 利用贝叶斯分类器进行图像分类的方法,以及图像特征的分布假定。最后通过对分类器的探讨,总结了贝叶斯估计 分类的不足。-The purpose of class is based on a
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
classification分类
- run_classification.m运行分类器; get_traintestfeat.m得到训练样本和测试样本。
模式识别第一次作业
- 1. 用 dataset1.txt 作为训练样本,用dataset2.txt 作为测试样本,采用身高和体重数据为特征,在正态分布假设下估计概率密度(只用训练样本),建立最小错误率贝叶斯分类器,写出所用的密度估计方法和得到的决策规则,将该分类器分别应用到训练集和测试集,考察训练错误率和测试错误率。将分类器应用到dataset3 上,考察测试错误率的情况。(1. using dataset1.txt as training samples as test samples by dataset2.tx