搜索资源列表
eyesample
- 自己裁减的一个AR上的眼睛库,(右眼睛),为训练分类器的你,提供训练样本.-own a reduction of the AR of the eye (right eye), the classification for the training of you, training samples.
PR_Procedure
- 自己编写的一个模式识别中的分类器算法,这是源代码,分类标准还可以。-themselves prepared a pattern recognition algorithm for the classification, which is the source code, classification criteria can.
svmmatlabSORCE
- 支撑矢量机 class CvSVM : public CvStatModel //继承自基类CvStatModel { public: // SVM type enum { C_SVC=100, NU_SVC=101, ONE_CLASS=102, EPS_SVR=103, NU_SVR=104 } //SVC是SVM分类器,SVR是SVM回归 // SVM kernel type -class
SegAndPosTools
- 实现语料的分割,和特征值的提取,还有bayes分类器-achieve Corpus segmentation, and eigenvalue extraction, and bayes classifier
RBF-nn
- 4输入层,3隐层,2输出层的RBF神经网络分类器 附有测试和训练样本-four input layer, hidden layer 3, the output layer 2 RBF neural network classifiers with testing and training samples
BP-nn
- BP神经网络分类器 程序有两种运行状态,一个是学习,另外一个是分类。在学习状态下,在Dos命令符下输入bp learn,便开始学习了,学习的结果放在weight.dat中;在工作状态下,在Dos命令符下输入bp work,便开始识别classfyme.dat中的数据了,识别完成后,结果放在results.dat中。在bp运行的任何一种状态下,都不能手工打开Weight.dat、Sample.dat、classfyme.dat、
FSelect
- 用于有指导分类器的分类特征进行选择的算法-for guidance on the classification characteristics of the algorithm to choose
me2svm
- 将最大熵的数据格式转为SVM分类器所需的数据格式-of maximum entropy data formats SVM classifier to the required data format
Random_
- 对用于分类器的向量数据按某个数值随机进行选取的算法-right for classification of vector data by a random numerical algorithm for the selection of
precision_
- 对比分类器的测试数据和输出结果,给出Precsion,Recall和F-Measure-contrast classification of the test data and output the results, given Precsion. Recall and F-Measure
1vsr
- svm在matlab环境下多类分类中的一对多分类器类型程序-svm in Matlab environment over classification of the one-to-many types of procedures classifier
PRAssign
- 脱机手写体识别Matlab源程序 包括特征提取、bayes分类器、K近邻分类及最近邻分类。 Testscr iptRecognition.m:测试代码 scr iptFeaExtract.m :特征提取 KNearestEstimate.m :K近邻估计 NearestEstimate.m : 最近邻估计 BayesTrain.m :训练bayes分类器 Bayes.m :测试bayes分类器 Cr
fisher
- 这是一个模式是别里的关于fisher算法实现的广义线性分类器-This is a model other fisher Lane on the algorithm of generalized linear classifier
WF4
- 一个WF分类器,可以选择学习速率,给出了样本分类结果-Classifier a WF, you can choose learning rate, given the results of sample classification
fisher
- 基于Fisher线性判别的基因分类器的matlab源码-Based on Fisher Linear Discriminant gene classifier matlab source
NaiveBayes
- Naive Bayes 分类器, 用C语言写的.大家一起参考一下. -Naive Bayes classifier, using the C language. U.S. with reference.
kNNClassifier
- K-NN 分类器, 用C语言写的.大家一起参考一下. -K-NN classifier, using the C language. U.S. with reference.
LinearDiscriminantClassifier
- LINEAR DISCRIMINANT CLASSIFIER 分类器, 用C语言写的.大家一起参考一下. -LINEAR DISCRIMINANT CLASSIFIER classifier, using the C language. U.S. with reference.
dtview
- 决策树 C4.5 分类器, 用C语言写的.大家一起参考一下. -C4.5 decision tree classifier, using the C language. U.S. with reference.
GMMTEST
- 从wave中读取数据,通过mfcc提取特征系数。从txt文件中读取基于GMM的分类器,最终识别为那种类型-Read data from the wave through the MFCC feature extraction coefficient. Txt file to read from the GMM-based classifier, and ultimately identified as the type