TOADforOracle

ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。 基本思想： 在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。 (Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach. Basic idea: The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions. After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour. Literature: - Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)

排队论 （Queuing Theory）也称随机服务系统理论，就是为解决有关排队问题而发展的一门学科。(Queuing theory (Queuing Theory), also known as stochastic service system theory, a discipline is developed to solve the queuing problem.)

卡尔曼滤波器的经典介绍。非常详细，通俗易通，中文版本(Classic introduction to the Kalman filter. Very detailed, popular ETS, Chinese version)

国外的一本介绍matlab的初级书籍，看外国人是如何学习matlab的(An English book is about maltab)

matlab code for beging cc motor...

Finger print recognition using minutia algorithm

蒙特卡罗模拟光散射程序，粒子随机分布，绝对可以直接运运行。带有简单说明～～～～～～！， (Monte Carlo simulation of light scattering process, the particles are randomly distributed, can definitely be shipped directly to run. With a brief description ~ ~ ~ ~ ~ ~! ,)

simple image inpainting using low pass filter. The file removes red text for the image.

matpower4.1相关文件，用于实现matpower仿真(matpower4.1 relevant documents, to achieve matpower simulation)

这是一篇博士论文，中国知网上的，现在拿出来和大家分享(The Research Of Infeasible Interior Point Algorithms For Optimization)