搜索资源列表
bayescode2
- 模式识别中贝页斯分类器的MATLAB实现,且用不同颜色标记了分类点和错分点-pattern recognition Pui page Andean classification of MATLAB and use different color marker of separation points and the wrong points
perception
- 模式识别中,用线性预测分类器实现逻辑与和逻辑或,MATLAB实现-pattern recognition, classification using linear prediction logic device to achieve and logic, or, MATLAB
adaboost
- adaboost分类器源代码 adaboost人脸检测matlab算法
ExtractGLCM
- 灰度共生矩阵方法用来提供一幅图像的灰度共生矩阵值,然后送到分类器中进行分类-gray level co-occurrence matrix,a very important method of extracting features
Adaboost_train
- ADBOOST的训练代码,有供训练的数据,弱分类器训练,强分类器训练,和错误率,对理解ADABOOST是很好的例程-codes of adaboost traning,containing data for traning, implementation of weakleaner and cascad,and error as well,it can help us leaning ADABOOST
naivebayes
- 已调试好的基于贝叶斯判别的手写体数字识别的matlab实现,包括样本图片的预处理、创建朴素贝叶斯分类器对象和检验判别效果的程序源代码大全-failed to translate
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.
LDA2D-2
- 人脸识别中2DLDA算法的matlab程序,使用最近邻分类器进行识别。-Face Recognition 2DLDA algorithm matlab procedures, the use of nearest neighbor classifier to identify.
PCA2D
- 人脸识别中2DPCA算法的matlab程序,使用最近邻分类器进行识别。-Face Recognition 2DPCA algorithm matlab procedures, the use of nearest neighbor classifier to identify.
KernelPrincipalComponentAnalysis
- 用于图像识别的核主分量识别子程序,不包括分类器程序-For image recognition to identify the nuclear principal component subprogram does not include classification program
Bayes_classifier_useful
- 关于贝叶斯分类器设计的实验,适合入门,上一个传错了,抱歉-Bayesian classifier on the experimental design is suitable for entry, a mass is wrong, sorry
zifushibie
- 光学字符识别系统,包括图像预处理、特征提取和分类器设计。-Optical character recognition system, including image preprocessing, feature extraction and classifier design.
train_v2
- 一个基于adaboost的人脸检测分类器训练程序,用MATLAB写的,希望能和大家分享-a face detect programme based on adaboost which is written by matlab
PatternRecognition
- 图象处理 模式识别 多种分类方法(最临近匹配分类器、Bayes分类器、线性函数分类、非线性函数分类、神经网络分类)识别0-9数字 手写数字与数字图片,包括设计训练样品库、可以选择多种分类器来识别识别0-9这十个阿拉伯数字,包括临时手写的数字,也包括图片中的数字 -Pattern recognition image processing a variety of classification (the most close to matching classifier, Bay
Bayes
- 传统贝叶斯分类器,最小错误率贝叶斯分类器、最小风险贝叶斯分类器-Traditional Bayesian classifier, the minimum error rate classifier, minimum risk Bayes classifier
gg
- 模式识别,包括分类器的设计,字符识别,以及BP神经网络-recogition
gabor-pca
- 本程序是先用gabor小波变换对人脸图像处理,然后在用pca进行降维,最后用svm分类器进行多分类分类识别,包扩完整的orl人脸库,需注意的是,svm工具箱是用的libsvm工具箱,运行前先配置好libsvm。版本号:libsvm-mat-2[1].89-3[FarutoUltimate3.0]-This procedure is to use the human face gabor wavelet transform image processing, and then to reduce
adaboost-based-on-Matlab
- 基于matlab环境的adaboost分类器,用于人脸识别face detection的算法-Adaboost classifier based on the Matlab environment
基于PCA和三阶近邻的人脸识别
- 这是一个基于的主成分分析和三阶近邻分类器的人脸识别算法,算法用MATLAB编写,简单实用,保证能够运行出来,特别适合初学者使用学习。
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)