搜索资源列表
kNNClassifier
- A matlab implementation of the KNN classifier. It is tested and working well.
FDA
- Fisher线性判别分类器源代码，包括训练函数和测试函数。-Fisher Linear Discrimination (FLD) classifier source code, including training function and test function.
classify
- 简单分类器 可用于基于神经网络的字母识别，适合初学者使用。 -Simple classifier based on neural network can be used to identify the letters, suitable for beginners to use.
AdaBoost
- 采用C语言实现的Adaboost算法，一个很经典的分类器算法-Using C language of the Adaboost algorithm, a classic Classifier
How-to-build-classifier-
- 如何利用opencv训练自己的分类器，内有多篇资料，本人用过一次，可能样本太少，效果不太好-How-to build a cascade of boosted classifiers based on Haar-like features.
Bayes
- 一个比较简单的模式识别问题。用female.txt 和male.txt 的数据作为训练样本集，建立Bayes 分类器，用测试样本数据set1.txt、set2.txt、set3.txt 对该分类器进行测试,分别应用单个特征及两个特征进行实验-A relatively simple pattern recognition problem. Female.txt and male.txt use data as a training sample set, the establishment of
knn
- C语言K近邻分类器KNN,有5个简单的例子供学习-knn classifier in C,5 simple examples are included
Classifier_min_dist_f
- 最小距离分类器，matlab环境下，可直接调用-Minimum distance classifier, matlab environment, can be directly invoked
1
- 这是一个模式识别，关于贝叶斯分类器实现的代码-This is a pattern recognition, Bayesian classifier on the realization of the code
hdda_toolbox_1.1
- The High Dimensional Discriminant Analysis (HDDA) toolbox contains an efficient supervised classifier for high-dimensional data. This classifier is based on Gaussian models adapted for high-dimensional data. Reference: C. Bouveyron, S. Girard
GML_AdaBoost_Matlab_Toolbox_0.3
- adaboost是语音识别分类器设计的最好方法，目前在识别分类方面进行了应用-AdaBoost is a voice recognition classifier design the best way, the current classification in identifying aspects of the application
LDA
- matlab 实现的LDA算法和线性分类器的实现，其中包括好几个.m文件-matlab implementation of the LDA algorithm and the realization of the linear classifier, which includes several. m file
cJava
- 用c和Java写的贝叶斯分类器，针对垃圾邮件处理，可用于过滤垃圾邮件。-With c and the Bayesian classifier written in Java for dealing with junk e-mail can be used to filter spam.
Bpn1ha
- 用BP神经网络分类器进行分类识别的matlab源代码-Using BP Neural Network Classifier for classification and identification of the matlab source code
SemanticAndaptationofNeuralNetwork
- Semantic analysis of multimedia content is an on going research area that has gained a lot of attention over the last few years. Additionally, machine learning techniques are widely used for multimedia analysis with great success. This work pre
svm_src
- Support Vector Machine Classifier(SVM) 基于支持向量基的图像分类方法，程序变得很好，国外网站上下的，是一个完整的工程-Support Vector Machine Classifier (SVM) based on support vector-based image classification methods, procedures have become very good, abroad site from top to bottom, is a
SVMclassification
- 介绍了SVM分类器原理，已经改进的算法，还有改进后的实验结果等等，是一个难得的好资料！ -Introduced the principle of SVM classifier, the algorithm has been improved, as well as improved experimental results, etc., is a rare good information!
KNNVB
- 最短距离法分类器VB实现，包括有详细例程说明-The shortest distance classifier VB to achieve, including a detailed descr iption routines
Classification
- 模式分类。包括:训练样本设计、模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类法-Pattern classification. Include: training sample design, template matching classifier, Bayes classifier, a linear function of classification, non-linear classification, neural network classificat
classification
- 在具有模式的完整统计知识条件下，按照贝叶斯决策理论进行设计的一种最优分类器。分类器是对每一个输入模式赋予一个类别名称的软件或硬件装置，而贝叶斯分类器是各种分类器中分类错误概率最小或者在预先给定代价的情况下平均风险最小的分类器。-In a model under the condition of complete statistical knowledge, in accordance with the Bayesian decision theory to design an optimal c