搜索资源列表
PNN
- 概率神经网络(Probabilistic Neural Network)是由D.F.Speeht博士在1989年首先提出，是径向基网络的一个分支，属于前馈网络的一种。它具有如下优点：学习过程简单、训练速度快；分类更准确，容错性好等。从本质上说，它属于一种有监督的网络分类器，基于贝叶斯最小风险准则。(The rate neural network, first proposed in 1989, is a branch of the RBF network and is one of the fe
Rosenblatt_Perceptron
- 用MATLAB实现一个简单的分类器，对线性的点进行简单的分类。(Using MATLAB to implement a simple classifier, a simple classification of linear points.)
hsvSAVEdata
- 将HSV量化数据保存至DATA文件用于SVM分类器(Save the HSV quantized data to the DATA file for the SVM classifier)
adboost classifier
- aboost分类器的matlab实现，可解决样本的分类问题(The matlab implementation of aboost classifier can solve the problem of sample classification.)
实验程序
- 适用于对模式识别感兴趣的同学，是Fisher准则的MATLAB源码，希望对你有帮助，这个代码可以直接运行，你可以更改自己感兴趣的参数。(For students interested in pattern recognition, it is the MATLAB source code of Fisher rule, which is helpful for you. This code can run directly, you can change the parameters you a
matlab
- 对于一个具体的数据，用交叉验证进行分类，随机森林进行训练，用AUC,AUPR,Precision评价分类器的性能(For a specific data, use cross validation to classify, train random forests, evaluate the performance of the classifier with AUC, AUPR, and Precision.)
案例5
- 基于BP_Adaboost的强分类器设计——公司财务预警建模(Design of strong classifier based on BP_Adaboost: modeling of corporate financial early-warning)
极限学习机
- 极限学习机分类器，训练函数与预测函数，以及数据实例(Extreme Machine Classifiers, Training and Prediction Functions, and Data Instances)
Adaboost
- 用MATLAB实现Adaboost分类算法，只是一个简单的功能(Using MATLAB to implement Adaboost classification algorithm, it is just a simple function)
感知器算法Matlab源码
- 感知器算法Matlab源码。用于解决感知器分类的问题(Perceptron algorithm Matlab source code)
PCA
- 对高维图像进行PCA和KNN分类器处理转换为低维图像(use PCA and KNN for high dimensional image)
NMF
- 使用NMF和KNN分类器实现对高维图像的降维处理(use NMF and KNN for high dimensional image)
da
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法，它用于把弱分类器联合成强分类器；SVM本身就是(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haa
fa(4)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程)(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based SVM Classifier + fast
ga (6)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based
gmm(2)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based SVM Classifier + fast Hough circle trans
rq(3)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法，它用于把弱分类器联合成强分类分类器(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaB
adaboost_test
- 一个简单的基于matlab实现的adaboost分类器算法实现(A simple implementation of AdaBoost classifier algorithm based on MATLAB)
Demo_Broadlearning_MNIST
- 宽度学习是最近比较热的分类器，可用于图像分类等应用(image classification Broad learning)
Facial detector
- 人脸识别系统 通过matlab自带分类器和降噪功能对图片人脸的五官和人脸进行勾勒(The face recognition system is based on Matlab's own classifier and noise reduction function to outline facial features and faces.)