LZ78Encode

该文件通过多个实例详细讨论了BP神经网络的原理和应用，希望对你有帮助。(The document discusses the principles and applications of BP neural network through multiple instances. May help to you!)

This Function Calculates The Difference of Gaussian for SIFT feature detection input parameter definition 1. Pyramid=image 2. NumOfLevel=levels to be calculated 3. InitSigma=initial variance of Gaussian

function Px = music(x,p,M) MUSIC Frequency estimation using the MUSIC algorithm. ----- USAGE Px=music(x,p,M) The input sequence x is assumed to consist of p complex exponentials in white noise. The frequencies of the complex exponentials and the variance of the white noise are estimated using the MUSIC algorithm. x : input sequence p : number of complex exponentials to find M : number of noise eigenvectors to use The frequency estimates are found from the peaks of the pseudospectrum Px.

Color can provide an efficient visual feature for tracking nonrigid objects in real-time. However, the color of an object can vary over time dependent on the illumination, the visual angle and the camera parameters. To handle these appearance changes a color-based target model must be adapted during temporally stable image observations. This paper presents the integration of color distributions into particle filtering and shows how these distributions can be adapted over time. A particle filter tracks several hypotheses simultaneously and weights them according to their similarity to the target model. As similarity measure between two color distributions the popular Bhattacharyya coefficient is applied. In order to update the target model to slowly varying image conditions, frames where the object is occluded or too noisy must be discarded.

介绍了遗传算法的基本原理与求解流程， 详细阐述了Matlab 遗传算法工具箱的使用方法， 并通过使用遗遗传算法工具箱对一个典型的函数优化问题进行求解， 验证了该工具箱在解决函数优化问题上的有效性与实用性性。 (Introduces the basic principles of genetic algorithms and solving process, elaborated on the use of the Matlab genetic algorithm toolbox, and a typical function optimization problem is solved by using genetic genetic algorithm toolbox, verify the toolbox to solve function optimization on the question of the validity and practicality.)

这是一个假期作业，资源很简单，自愿下载，本人自己认真书写的。谢谢(It is a holiday homework, resource is very simple, voluntary download, herself carefully written. thank you)

四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计(Partition Coefficient (PC), classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII)几种衡量指标。-Four kinds of clustering algorithms source code and sample code, the ultimate goal of this program is to form a set of standards for clustering, scalable tools. Including the contents of a. Clustering algorithm: Kmeans and Kmedoid algorithms, FCMclust, GKclust, GGclust algorithm 2. Assessment classified prototypes: programs can be plotted in two-dimensional image, the results of clustering 3. Verify: Program to provide an algorithm to each authentication mechanism, each clustering algorithm will calculate Partition Coefficient (PC), classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII) of several metrics.)

extends Activity Instrumentation Test Case2.

一些常用的MATLAB函数，求和； 求导数； 求极限；求泰勒展开式(Some commonly used MATLAB function, summation order derivative seeking limits order Taylor expansion)

girachical cluster mat methid