nonunif_samp

Simulate DSM matlab file.

MATLAB中一些常见的问题与处理的方法，英语版的(MATLAB, some common problems and treatment methods, the English version of)

一种遗传优化神经网络的算法，里面包含有初始化函数,在运行程序前先将实验数据load进去。输入A =load( D:数据.txt ) 这里的D是你存储数据的位置(A genetic optimization of neural network algorithm, which contains the initialization function, before running the program to the experimental data in load. Enter the A =load (D: data.Txt) where D is your data storage location)

SVM简单算法，利用该算法可以实现简单的几类数据的分类问题，非常简便(SVM simple algorithm, using this algorithm can achieve a simple classification of data types, very simple)

说明：  用matlab实现的isomap降维算法，该算法为论文原下载算法。(Use matlab to achieve the isomap reduction)

基于遗传算法的组卷设计，此为书籍版本。。。。(Design based on genetic algorithm test paper, this is the book version. . . .)

此为模式识别中Parzen窗法估计概率密度函数。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本数N1和窗宽、体宽； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本数N2和窗宽、体宽； 3、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 4、利用Parzen窗法估计概率密度函数判别男女性别； 5、对本判别的错误率进行统计。 (This is the pattern recognition Parzen window method to estimate the probability density function . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the number of samples x1 N1 and window width , body width 2 , read MALE.TXT file to height or weight to the array, and find the number of samples x2 N2 and window width , body width 3 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 4 , the use of Parzen window method to estimate the probability density function of gender discrimination 5 , determine the error rate of the statistics . )

张量分析工具，计算乘积测度空间的张量用于信号处理(tensor analysis tool to calculate the product measure space tensor for Signal Processing)

This program matches the curve of the input image to that of the filter image.Based on the selected filter input image will be added with same effect as that of filter image.This is done by finding CDF and curve of filter image then matching this curve of input image to this curve.

这是一个对人脸的检测，基于肤色模型和嘴眼的用度分析进行定位，(This is a of face detection, based on skin color model and the mouth eye capability analysis of positioning,)