搜索资源列表
EMGMMSeg
- 对图像进行GMM（混合高斯）拟合后用EM算法进行分割
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
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
GMM
- 高斯模型的实现，vc 6.0环境下实现的源代码，对于初学者有很好的借鉴作用-The realization of Gaussian model, vc 6.0 environment to achieve the source code, for the beginners have a good reference
GaussianMixtureModels
- GMM Model Gaussian Mixture Models - Algorithm and Matlab Code-GMM Model!
EM_GM_fast
- EM算法的图分割,基于GMM模型改进的快速EM算法，为m文件-EM algorithm image segmentation
Gaussian-mixture-model
- 混合高斯模型GMM EM算法，建模效果好，可以用于行为识别-Gaussian mixture model GMM EM algorithm, modeling effect, can be used for behavior recognition
Des555ktop
- 【谷速软件】matlab修改-GMM的EM算法实现 可以用着参考使用 -[Valley] matlab software modification-GMM speed of EM algorithm can be used with reference to the use of
EM
- EM算法，迭代得到高斯混合模型对原数据进行估计.直接运行EM.m，可以直观观察运行结果-use EM algorithm to get GMM(Gaussion Mixture Model)
gmm
- EM算法以及混合高斯模型，c++实现，控制台程序，函数调用很简单方便。可以在低版本vc6.0运行。-EM algorithm and hybrid Gauss model, c++ implementation, the console program, function call is very simple and convenient. Can be run at low vc6.0.
EmGMM
- 高斯混合模型的最大期望迭代求解算法,可用于图像区域灰度分布估计-Expectation maximazation(EM) for Gaussian mixture model(GMM)
52957362
- EM算法估计GMM的matlab版本的源代码,适合给类机器学习问题,-EM algorithm to estimate GMM version of the matlab source code, suitable for such machine learning problems,