visualc++matlab

针对偏微分方程的MATLAB解法，主要研究微分方程(组)的数值解法（近似解），重点介绍 Euler 折线法．(For the solution of partial differential equations MATLAB, mainly studies the differential equation ( Group ) numerical method ( approximate ), introduced Euler broken line method.)

说明：  东华大学机器学习核密度估计大作业 第一部分是一个三维的彩色KDE估计图（最好用MATLAB画）；第二部分是测试图片的运动目标二值图像检测结果（运动员用白色像素，背景用黑色）(Big assignment of kernel density estimation for machine learning in Donghua University The first part is a three-dimensional color KDE estimation map (preferably drawn with Matlab); the second part is the detection result of the moving target binary image of the test image (athletes use white pixels, background use black))

matlab的一些常用算法程序集，包括微分，插值等等，对初学者很实用(matlab assembly of some commonly used algorithms, including differential, interpolation, etc., very useful for beginners)

Euclidean distance between two images

S4VM 对传统的S3VM 进行了改进。传统的S3VM 基于低密度假设，它试图找到一个低密度的分界线， 也就是更倾向于决策边界穿过特征空间的低密度区域。S4VM 和S3VM 的不同点在于，S3VM 试图把注意力 集中在一个最优的低密度分界线上，而S4VM 则同时关注多个可能的低密度分界线。之所以这样做，是因为 给定一些有标记的点和大量未标记的点，可能存在着不止一个“间隔”较大的低密度分界线（如图2 ），基于 有限的标记样本，很难决定哪个是最好的。虽然这些低密度分界线都与有限的标记样本吻合，但它们之间差 异很大，因此如果选择错了，会有一个很大的损失，导致性能下降。所以S4VM 试图考虑所有可能的低密度 分界线。 (Over the past decade, many improved versions are proposed to solve every different specific problem of semi-supervised support vector machines, for example: to the inefficiency issue, meanS3VM is introduced to performance degenerate problem, S4VM is proposed)

order your file with their different name, especially for pictures, in matlab

这个是收集的一个用matlab编写的车牌定位的程序，很好用的！(This is a collection of using Matlab positioning plates prepared by the procedure is useful!)

var模型的实现。针对var模型的算法，估计模型的参数。并对其进行检验(achieve var model. Var model for the algorithm, the estimated parameters of the model. And its test)

人眼识别英文版，基于梯度特征提取，模板匹配实现人眼识别(eye detection)

matlab中的高斯混合模型代码，机器学习基础学习(Gaussian mixture model matlab code, machine learning based learning)