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VC++宝典，经典C++学习，参考学习，是C++学习的好帮手-VC++ canon classic C++ learning, reference, and is to learn C++ is a good helper

内容比较早，但写得较底层，包括bios,分区有等操作都的介绍，一共是两个文件pdf格式，应该有200多个源码《C语言编程实例》-Contents earlier, but well-written than the bottom, including bios, partition and other operations are the introduction there are a total of two files pdf format, there should be more than 200 source " C Language Programming Example"

多数代码可以直接在Delphi6和Delphi7环境下运行。部分涉及.NET技术内容的代码，需要在Delphi 7上安装Borland .NET Complier for Delphi编译器方可编译执行。Borland已经正式推出Delphi 8 for .NET，所以本书范例中部分内容可能与D8最终版本不符。-most directly in the code and Delphi6 Delphi7 operating environment. Some involved.NET technology content of the code, the need to install Delphi 7 Borland.NET Complier for Delphi compiler can compile implementation. Borland has officially launched for Delphi 8.NET, the book example might be part of the final version D8 inconsistent.

Essential Linux Device Drivers by Sreekrishnan Venkateswaran -------------------------------------------------------------------------------- Publisher: Prentice Hall Pub Date: March 27, 2008 Print ISBN-10: 0-13-239655-6 Print ISBN-13: 978-0-13-239655-4 Pages: 744 Slots: 0.5 而且kernel里面有的驱动基本都涉及到了 。比较新的书。 -Essential Linux Device Drivers by Sreekrishnan Venkateswaran Publisher: Prentice Hall Pub Date: March 27, 2008 Print ISBN-10: 0-13-239655-6 Print ISBN-13: 978-0-13-239655-4 Pages: 744 Slots: 0.5 inside the kernel and some basic drivers are involved. Relatively new book.(补全上次,上下半部).保证可用-Essential Linux Device Drivers by Sreekrishnan Venkateswaran-------------------------------------------------------------------------------- Publisher: Prentice Hall Pub Date: March 27, 2008 Print ISBN-10: 0-13-239655-6 Print ISBN-13: 978-0-13-239655-4 Pages: 744 Slots: 0.5 and inside the kernel and some basic drivers are involved. Relatively new book.-Essential Linux Device Drivers by Sreekrishnan Venk

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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.

C tanhaoqiang 电子书籍，仅供翻阅-C tanhaoqiang e-books for reading

模式识别，利用监督分类对一幅图像进行分类。-supervised_classification

Microsoft编写优质无错C程序秘诀，讲解一些编程中易碰到的问题-no wrong C program secret, some programming on the problems encountered easy