搜索资源列表
gmm_test.rar
- 使用EM算法模拟高斯混合模型（GMM）的构成,Analog EM algorithm using Gaussian mixture model (GMM) the composition of
EM
- EM算法介绍及Matlab演示代码(一维和多维高斯混合模型学习算法)-Introduction of EM algorithm and Matlab codes that implement the algorithm
EM_GM
- 针对于K维高斯混合模型估计的期望最大算法-EM algorithm for k multidimensional Gaussian mixture estimation
xml_toolbox-3.2.1-matlab-7.0-R14
- 高斯混合模型的matlab的实现，但是不包含em算法在里面，但是有版权，注意阅读内容-Gaussian mixture model of the matlab implementation, but does not include the em algorithm inside, but has the copyright and pay attention to read the content
Em
- 通过em算法实现对数据的高斯混合模型的分类-Em algorithm through implementation of data Gaussian mixture model classification
e_m_matlab
- 高斯混合模型的em 内含源代码与例子和实验报告-Gaussian mixture model of the em algorithm
GMM
- 利用K-高斯混合模型提取视频的前景信息。-The use of K-Gaussian mixture model for the future of video information extraction
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
gmmMatlab
- 关于高斯混合模型（GMM）的matlab源代码-是用于训练分类的不错的源代码-On the Gaussian mixture model (GMM) of the matlab source code- is used to train a good classification of the source code
VBEMGMM
- 用Matlab写的高斯混合模型的贝叶斯EM估计，-Variational Bayesian EM for Gaussian mixture models
gmm
- 求高斯混合模型的EM算法，matlab程序。-Seeking EM algorithm for Gaussian mixture model, matlab program.
GMM_background_src
- 基于有限混合高斯模型的数据分类 1、使用基于有限高斯混合模型的EM算法对数据样本进行归类 2、使用C++或者Matlab语言编程环境实现该算法，并用给定的数据包对算法的正确性进行检验 -Gaussian mixture model based on limited data classification 1, using the finite Gaussian mixture model based on EM algorithm to classify the data sam
GMMandSGM
- 一篇详细的介绍高斯混合模型（GMM）参数优化及实现的文档，有实例, 包括VC及matlab 实现。初始学者一看就能懂-A detailed descr iption of Gaussian mixture model (GMM) parameter optimization, and implementation documentation, including the VC and the matlab implementation
EM
- 利用Matlab编程验证用EM算法估计的高斯混合模型的相关参数的性能。-Validate the use of Matlab programming estimated using EM algorithm for Gaussian mixture model parameters related to the performance.
高斯混合模型EM算法MATLAB程序
- 在高斯混合模型上实现聚类问题的算法。将2个高斯混合，然后尝试学习两个高斯混合后的参数。(Algorithm for clustering problem on Gauss mixture model. Mix the 2 Gauss and then try to learn the parameters after the two Gauss mixing.)
EM_GM_fast
- 高斯混合模型中的EM算法（就不完整数据的极大似然估计）应用(EM algorithm in Gauss mixture model)
GMMs
- function对数据EM算法进行fit，并对产生的高斯混合模型的最大似然估计进行绘图。输出结构体obj，带有高斯混合模型的参数mu，sigma。(Function carries out fit for data EM algorithm, and draws the maximum likelihood estimation of the Gauss mixture model. The output structure is obj, with the parameter mu and s
GMM
- 实现了EM算法对高斯混合模型进行聚类，并将聚类结果用图像展示出来，希望对混合模型的朋友有用。(The EM algorithm is implemented to cluster the Gauss mixture model, and the clustering results are displayed with images, hoping to be useful to friends of the mixed models.)
RCY-GMMtest1
- 高斯混合模型（GMM,Gaussian Mixture Model）参数如何确立这个问题，详细讲解期望最大化（EM,Expectation Maximization）算法的实施过程。(How to establish the parameters of Gauss mixture model and explain the implementation process of the expectation maximization algorithm in detail.)
EM算法用于高斯混合模型
- EM算法在高斯混合模型的参数估计中的应用，内服Matlab程序例子。(Application of Matlab program and EM algorithm in parameter estimation of Gaussian mixture model.)