FACE RECOGNITION

通过few_shot少量监督信息来训练图神经网络，达到分类的效果(Training Graph Neural Network for Classification)

说明：  这是使用Python实现的DBScan。像Numpy、熊猫这样的图书馆也被使用过。DBScan算法已经在两个变色龙数据集t4.8k和t5.8k上进行了测试。然后利用matplotlib将得到的结果可视化。为了便于比较，本文将所得到的输出结果与DBScan实现的skLearning库的结果进行了比较。计算每个数据集的同质性和分离度，以观察簇间的相似性和不同的度量。epsilon和min值分别为8.5和16.5。(This is a DBScan implemented using Python. Libraries like Numpy and Panda have also been used. DBScan algorithm has been tested on two chameleon datasets t4.8k and t5.8k. Then the results are visualized by matplotlib. In order to facilitate comparison, the output results are compared with those of skLearning library implemented by DBScan. The homogeneity and segregation of each data set are calculated to observe the similarity and different measures between clusters. Epsilon and min were 8.5 and 16.5 respectively.)

RNN神经网络的应用和概念，RNN源代码和使用方法(You can find that the parameters `(W, U, V)` are shared in different time steps. And the output in each time step can be**softmax**. So you can use**cross entropy** loss as an error function and use some optimizing method (e.g. gradient descent) to calculate the optimized parameters `(W, U, V)`. Let recap the equations of our RNN: )

本文将以图像抠图领域的经典算法——贝叶斯抠图（Bayesian Matting）为例来介绍有关图像抠图技术的一些内容。贝叶斯抠图源自文献【2】，是2001年发表在CVPR上的一篇经典论文。(the image matting using classic bayesian approach)

说明：  几个python的计算例子，关于数据的处理，对初学者有用。(Several python calculation examples, data processing, useful for beginners.)

数据挖掘在经侦项目中的应用,本文用到python中的社区划分算法(In the application of data mining in economic investigation projects, this paper uses community partition algorithm in Python.)

通过hmm实现中文分词，并且能自动发现新词的功能(The Chinese word segmentation is realized by HMM, and the function of new words can be automatically found)

说明：  基于arcmap，批量处理tif文件，批量出图(Based on arcmap, batch processing TIF files, batch drawing)

小Q有一块NxM像素格的画板，画板初始状态为空白的，用‘X’表示。如果选择斜线为‘/’画格子，涂成蓝色，用‘B’表示；如果选择斜线为‘’画格子，涂成黄色，用‘Y’表示； 如果一个格子既被蓝色涂过又被黄色涂过，则变成绿色，用‘G’表示。 小Q已经有想好画的样子，计算最少要多少次操作完成这幅画？输入：4 4 YXXB XYGX XBYY BXXY输出：3

Intro to Game Design, Pygame范例(Pygame Sample Codes)