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svm-toy.SVM 的好工具，分类识别功能强大
- SVM 的好工具，分类识别功能强大，直观,Good tool for SVM, classification powerful, intuitive
PCA_ORL
- Matlab环境下，实现用PCA方法提取EigenFace,之后通过SVM方法对人脸图像进行分类识别。-Face recognition via PCA and SVM method
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
ChinaUniversityRecongnise
- 很有用的东西 是关于大学分类识别的专家系统-Useful things on the University of classification and identification of the expert system
Selforg
- 自组织特征映射网络进行图像分类识别（神经网络实用教程）-Self-organizing feature map network image classification Recognition [Neural Network Practical Guide]
SVMfenlei
- 支持向量机模式分类程序,可对两类模式进行分类识别-Support vector machine pattern classification procedures, two types of models can be classified to identify
fingerrecognize
- 本程序是在matlab的开发环境下，利用对指纹图像进行分类识别-This procedure is a development environment in matlab using the classification of fingerprint images to identify
parzen
- 分类器的训练与学习是模式识别的一个重要环节,其目的在于按照某种算法,确定判决规则,使之具有自动分类识别的能力。本文介绍了采用Parzen窗法的随机模式分类器,并matlab实现了一个简易的随机模式分类器。-Classifier training and learning is an important part of pattern recognition, in accordance with the purpose of some kind of algorithm to determine
fenlei
- rbf神经网络用于分类识别，故障诊断，模式识别，自己编写的-rbf neural network for classification and recognition, fault diagnosis, pattern recognition, have written
facedetection
- 对人脸照片进行图像预处理，特征值的提取，分类识别-The image of the face image preprocessing, feature extraction, classification and recognition
matlab_image_cancer
- 癌细胞的识别，实现阈值分割，细胞核分割，膨胀与腐蚀，形态学分类识别-Identification of cancer cells to achieve threshold segmentation, nuclear division, expansion and corrosion, morphological classification
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
20170608贝叶斯分类器实验
- 贝叶斯分类器，通过事先sample样本的训练，能够快速准确的实现对待分类样本的识别分类(Bias classifier, through the training of sample samples in advance, can quickly and accurately realize the classification and classification of the classified samples)
聚类分类实验
- 利用相似性准则和聚类准则函数，C-均值聚类算法，实现模式识别中的分类(By means of similarity criterion and clustering criterion function, C- mean clustering algorithm is used to realize classification in pattern recognition)
SVM算法二分类
- 将支持向量机（SVM）用于模式识别，解决二分类问题，程序中包含训练集和测试集。(The support vector machine (SVM) is used for pattern recognition to solve the dichotomy problem, which includes training set and test set.)
贝叶斯决策实现线性样本分类
- MATLAB语言编程，用贝叶斯决策算法实现线性样本分类，输入待分类样本，输出样本分类决策面。(MATLAB programming language, using Bayesian decision algorithm to achieve linear sample classification, input samples to be classified, output samples, classification, decision surface.)
06-svmMLiA
- 采用SVM算法，用python语言实现的分类识别，可用于异常检测等二分类(Using SVM algorithm, using python language to achieve the classification of identification, can be used for abnormal detection and other two categories)
tensorflow实现猫狗识别
- 使用tensorflow 开源框架实现猫狗种类分类识别外框代码(Using tensorflow open source framework to realize cat dog classification and identification frame code)
中文邮件分类
- 使用中文进行垃圾邮件分类, 识别出不同的垃圾邮件(Classify junk Email by Chinese, could find different kinds of emails)
数字信号识别
- 应用直接幅度方差实现mask\mfsk\mpsk的分类识别，识别率高达97%。(The direct amplitude variance is used to classify mask, MFSK and MPSK, and the recognition rate is as high as 97%.)