gravity

HK算法思想很朴实,就是在最小均方误差准则下求得权矢量. 他相对于感知器算法的优点在于,他适用于线性可分和非线性可分得情况,对于线性可分的情况,给出最优权矢量,对于非线性可分得情况,能够判别出来,以退出迭代过程.(The idea of HK algorithm is very simple, which is to obtain the weight vector under the minimum mean square error criterion. Compared with the perceptron algorithm, it is suitable for linear separable and non-linear separable cases. For linear separable cases, the optimal weight vector is given. For non-linear separable cases, it can be distinguished to exit the iteration process.)

CBIR with Shape method, very good

说明：  MTCNN，Multi-task convolutional neural network（多任务卷积神经网络），将人脸区域检测与人脸关键点检测放在了一起，它的主题框架类似于cascade。总体可分为P-Net、R-Net、和O-Net三层网络结构。(MTCNN, Multi-task convolutional neural network (multi-task convolutional neural network), puts face region detection and key point detection together, and its subject framework is similar to cascade. Overall, it can be divided into three layers: P-Net, R-Net and O-Net.)

说明：  为了注册下载东西上传的argis内容，需要的可以拿走(In order to register and download ArGis content uploaded, you can take away what you need)

说明：  自定义卷积核，用numpy完成图像卷积运算，生成对应特征图(Customizing convolution kernel, using numpy to complete image convolution operation, generate corresponding feature map)

VB 基于API HOOK拦截程序源码，演示VB如何拦截API呼叫，這是網友問的問題,雖然這個問題並不適合用VB做,但並不是做不到,要多繞一段路,這個問題重點在於執行檔中的IAT(Import Address Table) 如果你對於PE黨並不熟悉 請參考PE檔簡介。一個Process再執行時,會將許多DLL載入到行程空間中,如呼叫User32.dll中的MessageBoxW就必須將User32.dll載入到位址空間,呼叫越多不同種的API,位址空間中的模組也就越多,至於如何得知行程所載入的模組請參考如何取得Process中載入的模組的資訊。 　　一般來說,如果是執行Notepad.exe 我們只要攔截模組Notepad.exe的IAT即可,除非你想攔截Notepad.exe是否有透過其他DLL去執行要攔截的函數,才需要去攔截其他載入的模組，這個程式整個攔截的過程如下： 　　1.在要攔截的程式上配置2塊記憶體空間,一塊用來放要攔截的程式,一塊用來放所需要用的區域變數 至於如何再外部程式配置記憶體請參考如何在外部程式配置記憶體 　　AddressOfRemoteFunction=CreateRemoteMememory(SomeProcess,FunctionSize) 　　AddressOfVar=CreateRemoteMememory(SomeProcess,DataSize) 　　2.將要注射的函數寫到配置的位址空間 並初使化變數 　　Call WriteCodeTo(AddressOfRemoteFunction) 　　[AddressOfVar]=1 　　[AddressOfVar+256]=Old_FunctionAddress 　　3.修改IAT位址到新配置的函數

说明：  最终得到具有更高精度、更强抗扰动能力的滤波器，以满足无人驾驶智能车控制系统的需求。(Finally, the filter with higher precision and stronger anti disturbance ability is obtained to meet the demand of the control system of the driverless intelligent vehicle.)

使用matlab工具，GRNN的数据预测(Data Prediction of GRNN Using Matlab Tool)

用python实现3D空间散点的连线绘图(Realization of 3D Spatial Spot Connection Drawing with Python)

微软正本序列号 可在线升级 包括了所有的WINDOWS版本-original serial number can be upgraded online including all versions of Windows