解压缩文件_C#

this file is used to activate app on startup of nokia mobile.

这是一个用c++编写的，socket API 的服务器端和客户端的相互响应的简单程序.用cmd打开程序exe，输入“webserver + 端口号”，webclient方面，输入“webclient + 127.0.0.1 + 端口号5600”，则可以在客户端上显示接收到的信息。(This is a c++ written in response to a simple procedure of mutual socket API server and client' s Open Program exe, enter " webserver+ port number" , webclient, the input " webclient+ 127.0.0.1+ port number 5600 with cmd " you can display the information received on the client.)

模仿windows的画板功能，实现绘制直线，长方体，椭圆，擦除绘制，保存绘制图片等功能(Imitate the drawing board function of Windows, realize drawing straight line, cuboid, ellipse, erase drawing, save drawing pictures and other functions)

这是一个在windows平台下用vc6.0开发的一个“FTP遍历下载目录”程序，内有详细的注解-This is one of the windows platform with the development of a vc6.0 "FTP download directory traversal" process, with detailed footnotes

VC 经典案例 30例子 已经使用 华为等机考(VC classic case 30 examples have been used)

说明：  DDE CLIENT,用于dde方式读区服务器内容(DDE Client for dde reading of server content)

著名的界面源码，使用MFC，demo中实现了很多著名的界面，如VC2003、OutLook、Office、PowerPoint等的界面。(famous source interface using MFC, the demo to fulfill the many famous interface, If VC2003, OutLook, Office, PowerPoint, and other interface.)

VB的一个程序设计，很好看的小雨点，试试就知道了。(a VB program design, good to see the light rain, try will know.)

VB采用最小二乘法演示如何在VB中实现线性拟合和二次拟合，编译时候需要TeeChart5.ocx，已将此文件打包，你无需再下载。新建 Microsoft Excel 工作表.xls里是测试数据，程序会自动读龋这里要说的是： 　　1.1 线性拟合：给定一组数据（xi，yi），i=1，2，…，m，做拟合直线。 　　1.2 二次拟合：给定数据系列（xi，yi），i=1，2，…，m，用二次多项式函数拟合这组数据。作出拟合函数与数据序列的均方误差最校 (VB using the method of least squares linear fit and demonstrates how to implement a quadratic fit in VB compiler when needed TeeChart5.ocx, has packed this file, you do not need to download. Newly built in Microsoft Excel worksheet xls test data, the program will automatically read caries say here is: 1.1 linear fit: Given a set of data (xi, yi), i = 1,2, ..., m, do fitting a straight line. 1.2 quadratic fit: given data series (xi, yi), i = 1,2, ..., m, with a quadratic polynomial function fitting this set of data. Fitting function to the data sequence with the best mean square error correction)

We present a methodology for tracking multiple skin-colored objects in a monocular image sequence. The proposed approach encompasses a collection of techniques that allow the modeling, detection and temporal association of skin- colored objects across image sequences.