资源列表
GetLineByMapObjects
- 本程序是VC+MO的一个简单例子,对于初学GIS的朋友能起到抛砖引玉的作用! MapObjects是建立在微软的对象链接和嵌入（OLE）2.0基础之上的。OLE是当今得到最广泛支持的面向目标的软件集成技术。用户像用砖块盖房子一样利用OLE组件开发和集成Windows应用。一个OLE控件是一个可重复使用的软件组件。OLE控件可以将许多其他OLE对象包装在一个包中。这个包可以反映某些特定的功能，如统计图和多媒体等，并可以直接嵌入支持OLE的应用中。OLE对象具有特征和方法，可以通过对它们的编程来
kalman-filter-simulation-tools
- In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subje
walkmaze
- 用OPENGL编写的一个程序，生成了一个迷宫，并且可以在里面行走-use OpenGL prepared a procedure to generate a maze, and the inside running
Random_Forest_fortran
- 加洲大学Leo Breiman编写的Random Forests(随机器森林)各个版本的fortran代码 可以实现分类,以及回归!-University of California Leo Breiman prepared by Random Forests (random for forest ) fortran various versions of the code can be achieved classification and regression!
rainbowland
- 用OPENGL编写的一个景色程序，表现出了天空，绿地和彩虹。-use OpenGL prepared a beauty procedures, demonstrating the skies, green and rainbow.
5v5
- 5v5.m 5*5子图动态分割与最优阈值分割结合-5v5.m 5 * 5-Dynamic Segmentation and optimal threshold segmentation combination
FileDlgWithPreview
- VC++6.0l界面程序源码,用于打开文件具有预览功能-VC 6.0l source interface procedures for opening files with preview function
CSK2SourceC
- 一个开发商业B/S架构的实例，值得研究和学习-development of a commercial B / S structure of the examples worth studying and learning.
gaussianprocess4Clas
- 高斯过程是一种非参数化的学习方法，它可以很自然的用于regression，也可以用于classification。本程序用高斯过程实现分类！-Gaussian process is a non - parametric method of learning, it is very natural for regression. can also be used for classification. The procedures used to achieve classification G
4v4
- 4v4.m 4个子图动态分割与最优阈值分割结合-4v4.m four sub Dynamic Segmentation and optimal threshold segmentation combination
Tut_Machine.m
- 这是一个用Matlab描述的关于Ｘ＋Ｙ的图灵机程序，希望对大家有些用-This is a descr iption of the use of Matlab X + Y on the Turing machine procedures, we hope to use some
segbb
- segBB.m 最优阈值分割-segBB.m optimal threshold segmentation