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说明：  图卷积神经网络实现代码， python实现了图卷积神经网络的功能。(the code for gcn use python the paper is COVARIANT COMPOSITIONAL NETWORKS FOR LEARNING GRAPHS)

说明：  SIFT特征点检测 DoG金字塔图像生成后，通过全搜索中间层DoG图像(去除第一个和最后一个DoG图像)的像素点，判断当前像素点的像素值是否大于(或者小于)周围8邻域的像素值(sddsdadadsda da da d ad a da adad ad a d ad a d ad a d ad a d)

说明：  对提供的图像进行裁剪，并对裁剪后的图片分类，主要是裁剪边框，提取某个区域的图片(Cut out the details of the pictures and classify the cut pictures.)

学习Opencv一书的部分参考答案，虽然不是很全，但是对入门者还是很有用的。(Learning Opencv a part of the book suggested answers, although not very wide, but still very useful for beginners.)

K-means算法是最为经典的基于划分的聚类方法，是十大经典数据挖掘算法之一。K-means算法的基本思想是：以空间中k个点为形心进行聚类，对最靠近他们的对象归类。通过迭代的方法，逐次更新各簇的形心的值，直至得到最好的聚类结果。(K-means algorithm is the most classical partition-based clustering method and one of the ten classical data mining algorithms. The basic idea of K-means algorithm is to cluster k points in space and classify the objects closest to them. Iteratively, the values of centroid of clusters are updated one by one until the best clustering results are obtained.)

基于iris和sonar的遗传算法验证,在本次遗传算法的实现中，本人采用了第一种判据，即基于距离的可分性判据，基于距离的可分性判据的实质是fisher准则的延申，即综合考虑不同类样本的类内聚集程度与类间的离散程度这两个因素，判据的优化体现出降维特征空间较好的体现类内密集。一些不能体现类间分隔开的特征很可能被排除掉。

clear case 的操作，如check in check out (clear case handle client check in check out )

python打印玫瑰花

Over 80 object-oriented recipes to help you create mindblowing GUIs in Python

说明：  本书是经典畅销图书《Python 核心编程（第二版）》的全新升级版本，总共分为 3 部分。 第 1 部分讲解了 Python 的一些通用应用，包括正则表达式、网络编程、Internet 客户端编程、多线程编程、GUI 编程、数据库编程、Microsoft Office 编程、扩展 Python 等内容。 第 2 部分 讲解了与 Web 开发相关的主题，包括 Web 客户端和服务器、CGI 和 WSGI 相关的 Web 编程、Diango Web 框架、云计算、高级 Web 服务。第 3 部分则为一个补充/实验章节，包括文本处理以及一些其他内容。 本书适合具有一定经验的 Python 开发人员阅读(This book is a new upgraded version of the classic best-selling book Python Core Programming (2nd Edition). It is divided into three parts. Part 1 explains some general applications of Python, including regular expressions, network programming, Internet client programming, multi-threading programming, GUI programming, database programming, Microsoft Office programming, extension of Python and so on. Part 2 Topics related to Web development are explained, including Web client and server, CGI and WSGI related Web programming, Diango Web framework, cloud computing, advanced Web services. Part 3 is a supplementary/experimental chapter, including text processing and some other contents. This book is suitable for Python developers with some experience.)