详细叙述了开发板的架构，入门首选，学习LINUX的好书籍

Wince驱动程序开发 嵌入式程序开发-wince

米小国写的一本书 不错的 介绍DesignPattern_Simp-meters small country wrote a good book on DesignPattern_Simp

< WCF编程> 英文版,微软官方的文章-err

Visual C++ 21天自学教程第二部分-Visual C++ 21 days the second part of self-study tutorials

Visual C++ 2005入门经典，Ivor Horton著。-Visual C++ 2005 Introduction to Classical, Ivor Horton forward.

C 函数查询,包含C语言中所有的函数使用说明。及接口-C Function Query

XSBase255是深圳亿道电子最新推出的一款基于英特尔XScale PXA255的高端嵌入式解决方案，此方案提供丰富的软硬件资源和参考设计方案。-Shenzhen 100 million electronic XSBase255 latest Intel XScale PXA255 based on a high-end embedded solutions, this program provides a wealth of hardware and software resources, and reference designs.

适合初学者的vc例子。是《Visual C++程序设计与实践》作者梁普选这本书上面的源代码。-Vc examples for beginners. Is the " Visual C++ program design and practice" by Liang election this book above the source code.

本章讲解如何启动Red Hat Linux installation安装过程. 包括以下内容: 熟悉安装程序的用户界面. 启动安装程序. 选择安装方式. 在结束本章的时候, 安装程序应该已经在您的系统中运行, 并且已经选择了适当的安装方式. -chapter on how to start installation of Red Hat Linux installation. Contents include the following : familiar with the procedures for the installation of the user interface. Start the installation process. Choose installation method. At the end of this chapter, the installation procedure should have been in your system running, and has selected the appropriate security loaded way.

介绍基于内容图像识别的相关技术，他是检索技术的前沿，目前还处于初级阶段-We have witnessed great interest and a wealth of promise in content-based image retrieval as an emerging technology. While the last decade laid foundation to such promise, it also paved the way for a large number of new techniques and systems, got many new people involved, and triggered stronger association of weakly related fields. In this article, we survey almost 300 key theoretical and empirical contributions in the current decade related to image retrieval and automatic image annotation, and in the process discuss the spawning of related subfields.We also discuss significant challenges involved in the adaptation of existing image retrieval techniques to build systems that can be useful in the real world. In retrospect of what has been achieved so far, we also conjecture what the future may hold for image retrieval research.