java下对excel文件操作类的源码以及jar文件，可自行扩展

《高效MIDP编程中文版》-"efficient MIDP programming Chinese version of"

linux学习的教程.我感觉不错,哎.希望大家多多联系.加油学习-linux tutorial learning. I feel good, hey. I hope everyone a lot of contact. refueling learning

javascript开发电子书 这是一本javascript开发人员的很好的参考书-electronic books javascript This is a javascript development of good The reference books

模式识别讲义，里面内容全面。言简意赅，比看书籍感觉要爽-pattern recognition handouts, which is comprehensive. Suffice than books can be cool feeling

这个是在java中如何开发db2的pdf文档，很具有针对性，里面的英文不算太难，应该没有太大的阅读困难-This is db2 in java how to develop in the pdf document, it is targeted, which in English is not too difficult, there should be no great difficulty in reading

VC++学习资料，帮助学习者从入门到精通的了解vc++编程的ppt资料。-VC++ learning materials to help learners from entry to master knowledge of vc++ programming ppt information.

DB2的详细讲解教程。非常好。本人数据库课程的试验讲义。值得参考。-DB2 tutorials explain the details. Very good. I test the database course lecture notes. Worth considering.

KIDE是中兴通讯成都研究所自主研发的嵌入式集成开发环境，它的目标操作系统主要面向Linux，可用于开发各类版本的Linux上层应用，内核，以及硬件驱动。KIDE中包含了多种领先的嵌入式开发及应用开发的技术手段，能够将整个设备软件开发过程集成到一个公共平台下。其优秀的稳定性、图形化的界面、广泛的支持性，可以大幅优化开发人员、项目团队的工作效率。目前，KIDE集成开发环境的最新版本是1.2。-ZTE KIDE Chengdu Institute is self-developed embedded integrated development environment, its main goal of the operating system for Linux, can be used for development of all types of applications the upper version of Linux, the kernel, as well as hardware drivers. KIDE contains a variety of leading embedded development and application development of technical means, they could make the entire device software development process into a public platform. Its excellent stability, graphical interface, extensive support, and can significantly optimize the developers, the project team work more efficiently. At present, KIDE integrated development environment is the latest version of 1.2.

EMACS的使用手册-EMACS the use of manual

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.