介绍Linux内核结构的书籍。适合初学者使用。

一个企业代码，美工很不错~！适合做中小企业网站-daima

网管HP-UX学习文档，关于HP-UX的，很不错

The Unified Modeling Language User Guide 2nd EDITION-The Unified Modeling Language User Guide 2 nd EDITION

C++程序设计语言 全世界最出名的C++基础教材，从C++基本语法，到C++面向对象，再到C++标准库，都有很详细并且深入浅出的阐述。不论是C++的初学者还是专家，这都是一本不可多得的好书-C programming language of the world"s most famous C based materials, basic syntax from C to the object-oriented C, and then C standard library, there is a detailed and easy manner. Both C beginners or experts, this is a rare books

linux 高级技术，全面介绍linux的一本高清书籍，对linux 入门和提高都有好处，可以作为参考资料-linux advanced technology, comprehensive description of a high-definition linux books, linux started right and improve benefit both can be used as reference

VHDL程序设计，超星能打开！！ 另外一本基本教程，不错的-VHDL programming, open the Superstar! ! Besides a basic guide, good

linux c函数手册,CHM格式,带函数索引,方便查找,涵盖了所有常用的linux C函数,绝大多数函数带有简单明了的示例,绝对不同于别的粗制滥造的手册-linux c function manual, CHM format, with the index function to facilitate the search, covering all commonly used linux C function, the vast majority of functions with simple and clear example of shoddy absolutely different level of manual

MPIch2用户指南，希望对大家有用 并行计算还是很难的，不知道自己会不会学懂-MPICH2 User

photoshop百例,讲解了photoshop的各种应用-100 cases, on the application of the different photoshop

一种基于贝叶斯理论的目标验证方法。 提出了一种验证图像中候选目标的新方案. 综合目标的先验知识,将目标验证转化为给定候选目标的条 件下,图像特征观察集合的条件概率问题. 同时,提取图像的短线段特征,利用短线段特征的观察,给出了一种目标 验证方法排除复杂场景图像中虚假建筑物目标. 在自然图像集上进行的实验表明,所提出的方法能有效排除虚假 目标,满足处理自然图像的要求.-Based on Bayesian theory the goal of authentication methods. A candidate for the target image to verify the new program. Comprehensive prior knowledge of the target, the target to verify the candidate into a given target under the conditions of image feature observe the collection of conditional probability problems. At the same time, extract the image characteristics of short-paragraph the use of short-term observation of the characteristics above, given a goal of authentication method to exclude false images of complex scenes building goals. Set in the natural image experiments show that the proposed method can effectively rule out the possibility of false targets, to meet the deal with natural images requirements.