搜索资源列表
GMM-modeling-and-EM
- 介绍Opencv这个图像处理库环境下的GMM建模与EM算法,从数学的角度深入分析高斯建模和EM算法-Introduce the the Opencv this image processing GMM modeling the EM algorithm in the library environment, in-depth analysis from a mathematical point of the Gaussian model and the EM algorithm
GMM
- 实现混合高斯模型的聚类算法 利用最大似然估计和最大期望的方法来实现混合高斯模型-Gaussian mixture model to achieve clustering algorithm using the maximum likelihood estimation and the greatest way to achieve the desired mixed-Gaussian model
遗传算法用于从EM雷达数据提取地下古墓遗迹定位信息.r
- 神经网络\遗传算法用于从EM雷达数据提取地下古墓遗迹定位信息- The nerve network \ heredity algorithm uses in from the EM radar data to withdraw the underground ancient grave vestige localization information
Puma-EM-0.4.6.tar
- 这个软件包(C++)是我寻找电磁学代码无意中找到了,功能相当强大(并行计算,快速多极子等)。缺点是安装相当麻烦,需要若干个其他软件包。我在Fedora Core9下编译其中所需blitz++时出错,在 ubuntu下可以所有均编译通过,运行时出现一个错误,我找不到原因(本人水平有限),但从学习电磁学有关算法/程序设计来说,已经是相当了不起的开源软件了。parallel unified multipole algorithm for Electromagnetics (Puma-EM). A
EMSeg
- 利用Em算法进行图像分割的代码,可以运行,代码简短清晰,有利于初学者,希望对你有用-Em algorithm using image segmentation code, you can run, code clear brief will help beginners, in the hope that useful to you
SEM
- structure EM算法 bayesian network structure learning-structure EM algorithm for bayesian network structure learning
EM.tar
- 一个用EM算法的源程序,用来对数据进行分类,非常经典-A source using EM algorithm for data classification, very classic
emgmm
- 本程序是EM算法,是参数估计(极大似然估计)方法的数值解法。-This procedure is the EM algorithm, is the parameter estimation (MLE) method of numerical solution.
meme_3.5.4
- EM算法的改进,在此基础上生物信息学的常用工具-EM algorithm, on the basis of commonly used bioinformatics tools
channel_esti_em730a
- 代码为实现EM算法进行ofdm调制信号进行信道估计的仿真代码-source codes simulate the channel estimation using em algorithm
EMimagesegment
- 基于em算法的图象分割程序,是图象分割的一类重要算法.-Em algorithm based on image segmentation process of image segmentation are essential for a class of algorithms.
GMM-GMR-v1.2
- 这是一款用matlab编写的GMM算法,有样例,实现用EM算法寻找GMM参数-This is a matlab prepared using GMM algorithm, there is a sample, look for implementation using EM algorithm for GMM parameter
em
- 混合高斯概率密度模型,其参数估计可以通过期望最大化( EM) 迭代算法获得。-EM estimation parameters Gaussian mixture processes
PQRbayes
- 从ML-EM 重建算法入手,分析了贝叶斯模型的一些关键点,针对采用传统方法求解MAP问题的局限性,提出一种用于正电子成像的贝叶斯神经网络重建算法,为了保留边缘信息,引入了二进制的保边缘变量,并应用共轭神经网络求解,模拟的重建结果表明,应用这种算法可以得到比ML-EM 算法更好的重建图像@-From the ML-EM reconstruction algorithm start with an analysis of Bayesian model some of the key points,
GaussMRFandEMofImageSegmentation
- 2008年3月 中国图象图形学报 基于类自适应高斯-马尔可夫随机场模型和EM 算法的MR图像分割 比较新的一片关于MARKOV以及EM算法的图像分割的文章。详细介绍了两种算法,以及对MR图像的实验结果,很有参考价值-March 2008 Journal of Image and Graphics of China based on the type of adaptive Gaussian- Markov random field model and the EM algorithm
GentleTutorialoftheEMAlgorithm
- EM算法(英文)A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models-A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture a
emJPG
- 最新的EM算法处理图像的算法,在MATLAB6.0调试通过,可以实现大小、反色等基本功能,占用内存很小。-EM algorithm for the latest image processing algorithms, in MATLAB6.0 debugging passed, the size can be achieved, and anti-color and other basic functions, take up very little memory.
EM_GM_fast
- EM基于高斯混合模型的EM算法,EM基于高斯混合模型的EM算法EM基于高斯混合模型的EM算法-EM-based EM algorithm for Gaussian mixture model
gaussian_mixture_model
- 基于高斯混合分布的假设,利用EM算法对数据进行分类-classification based on the Gaussian Mixtrue Models using EM algorithms
EMAlgorithm
- 上数据挖掘课的课件,是EM算法的,其中还包括最大似然值,最大似然估计,以及cluster-data mining,EM Algorithm ,Likelihood, Mixture Models and Clustering