收集了各类VB的经典编程技巧，分为窗口技巧、键盘鼠标、控件技巧、网络技巧、系统技巧、多媒体技巧、图像技巧、字符串技巧等。VB爱好者不要错过。(...

详细的介绍ROC，不懂的可以看看，相信对你会有用的

“8020”法则是当今社会流行的规则。如果你想成为成功人士就一定要读一读。- "8,020" the principle is now the social popular rule. If you want to become the successful public figure certainly to have to read.

数字图像处理源码，很详细的介绍了VC在图像处理上的应用，不要错过好东西啊。-Digital image processing source code, it is a detailed introduction of the VC in image processing applications, do not miss something good ah.

Python简明 Python 教程 Swaroop, C. H. 著 沈洁元 译 -Python Tutorial Python concise Swaroop, CH Shen Jie Yuan a translation

WrappingC++MemberFunctionCalls,一本很好的书啊.-WrappingC MemberFunctionCalls, a very good book ah.

最小生成树的kruskal算法,我的数据结构课程设计的源代码，很好用。-the Kruskal minimum spanning tree algorithm, the data structure of curriculum design source code, with very good.

Commonly used serial EEPROM memory chip 24c02 Chinese official information manual, it was relatively easy to understand.-Serial memory 24c02 Chinese official information manual, it was relatively easy to understand.

java data object 作者： David Jordan, Craig Russe-java data object Author : David Jordan, Craig Russe

北大青鸟内部教程,很难得,我希望能提供给想要的人,多努力把, 这个是第二年的教程

本文完成了对唇动身份识别技术几个基本问题的理论研究,并对整个系统加以实现.作为本文研究的实验基础,我们建立了唇动方式身份识别数据库(HITLUDB), 该库目前包含30个说话人每人20个汉语词的音视频语料.数据库的扩充与完善工作仍在不断的进行之中.在嘴唇检测方面, 我们对自适应色度过滤模型进行改进,提高了算法的鲁棒性,完成了对嘴唇的精确定位.结合DCT变换与K-L变换的各自特点, 我们提出了特征提取算法,使用较少维数的特征完成了对嘴唇区域主要信息的刻画.由于唇动信息同时包含了生理特征与行为特征, 我们使用静念动念混合建模的方式,完成了对说话人唇动个性特点的精确描述.在HMM训练时,我们提出了特征的归一化处理方法,提高了HMM在实际应用中的性能. 最后,我们分别对身份辨认系统与身份确认系统的基本理论进行了叙述,并完成了系统的实践工作. 关　 键　 词：身份识别 唇动 特征提取 隐马尔可夫模型 K-L变换 -paper completed the lip movements identification technology several basic issues of theoretical study, system as a whole be achieved. As this paper, the experimental basis, We have established a dynamic manner lip identification database (HITLUDB) The library currently contains 30 words each of 20 Chinese words, sound and video corpus. and the expansion of the database is still perfect keep going on. Detection of the lips, we adaptive color filter model improvements, improve the robustness of the algorithm, completed a pair of lips the precise positioning. DCT combined with