blackholeaodv2005-ns235-patching-2.tar

视频会议系统，使用RTP协议。可以实现多人视频语音会议-video conferencing systems, the use of RTP. People can achieve video voice conferencing

机器学习-分类器-垃圾邮件系统。数据集来自UCI-spambase.data.(Machine Learning- spam classifier.)

A8010 IP电话网守 用户手册 装帧-A8010 IP telephone network Shou bound user manual

五岭影视源码，asp全站程序-Wuling video source, the station"s procedures asp

Grnn神经网络交叉验证，matlab中可实现代码文档(Grnn nerve network cross-validation, matlab in the can be to achieve the code documentation)

级联分类器学习，训练，测试过程 选择了HOG特征和LBP特征(adaboost train learn test hog feature lbp feature)

说明：  这是一个快速的拟牛顿法程序，非常实用，非常强大(FMINLBFGS is a Memory efficient optimizer for problems such as image registration with large amounts of unknowns, and cpu-expensive gradients. Supported: - Quasi Newton Broyden–Fletcher–Goldfarb–Shanno (BFGS). - Limited memory BFGS (L-BFGS). - Steepest Gradient Descent optimization.)

ECM - A novel Online, Evolving Clustering Method and its applications.

自然语言处理语义分析演讲内容，入门者推荐学习(Text categorized corpus)

作者是Sebastian Raschka，密歇根州立大学的博士生，他在计算生物学领域提出了几种新的计算方法，还被科技博客Analytics Vidhya评为GitHub上最具影响力的数据科学家。他有一整年都使用Python进行编程的经验，同时还多次参加数据科学应用与机器学习领域的研讨会。在数据科学、机器学习以及Python等领域他拥有丰富的演讲和写作经验，本书可使得不具备机器学习背景的人设计出由数据驱动的解决方案。(The author, Sebastian Raschka, a PhD student at Michigan State University, has come up with several new computational methods in computational biology and has been named the most influential data scientist on GitHub by Analytics Vidhya, a technology blog. He has a year of programming experience using Python, and has attended many seminars in data science applications and machine learning. He has extensive lecture and writing experience in data science, machine learning, and Python, and this book enables people who do not have a machine learning background to design data-driven solutions.)