搜索资源列表
GMM-GMR-v2.0
- 基于泛化自回归的源模型，以及在这个模型基础上的EM算法实现-Generalization based on the source from the regression model, as well as in the model based on EM algorithm
Density_Estimation
- 分别采用GMM和KDE对Iris数据集进行密度建模，并进行对比。通过EM算法来确定GMM参数，通过交叉验证来确定K值-GMM and KDE respectively Iris data set of density modeling, and compared. GMM by EM algorithm to determine the parameters of K determined by the value of cross-validation
gmm
- MATLAB编写的用于实现最大期望的算法,-EM algorithm
93562307GMM-EM
- GMM-EX gmm语音转换模型，以及里面详细的ex聚类程序介绍-GMM-EX GMM voice switching model, and the EX clustering, there are detailed introduced program
GMM
- 无监督混合高斯模型（GMM）的EM估计，含两篇IEEE论文的源码-This is a set of MATLAB m-files implementing the mixture fitting algorithm described in the paper M. Figueiredo and A.K.Jain, "Unsupervised learning of finite mixture models", IEEE Transaction on Pattern Analys
em
- EM算法的Matlab实现，针对GMM模型-EM algorithm for GMM Model
GMM
- 这里介绍了一个利用了EM算法得到的GMM训练c代程序-This is a useful file of GMM code
EM
- GMM的优化，用EM算法实现高斯混合模型-GMM optimization algorithm EM
EM-GMM
- 利用EM算法实现高斯混合模型的优化，完成特征建模-Use of EM Algorithm to to achieve the the the optimization of of the Gaussian mixture model, to complete the Feature Modeling
GMM
- em算法，简单实用，非常好，包括原始文档内容-em algorithm is simple and practical, very good, including the content of the original document, etc.
GMM
- 程序展示了使用EM algorithm来训练GMM(Gaussian Mixture Model)来进行binary classification。-Program demonstrates the use of EM algorithm to train the GMM (Gaussian Mixture Model) for binary classification.
GMM
- 通过应用matlab实现高斯算法，用EM估计GMM的数据参数，并把运算时其遗漏数据补全-Matlab achieved through the application of Gauss algorithm estimates GMM data parameters EM, and the missing data when computing its complement
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
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
- k-means下的GMM训练模型，文档中包含源文件和头文件，详细介绍了如何用GMM去你和数据-GMM Model used by k-means and EM,
em-gmm
- generate 350 data feature and use EM-GMM estimation and classification it
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.
GMM-latentSpace-v2.0
- GMM算法，利用EM算法求解混合模型中每个模型的参数-Gaussian Mixture Model,GMMalgorith,Use EM algorith
gmm
- Clustering of data points using Gaussian Mixture Model and EM Algorithm
GMM
- 高斯混合模型，通过EM算法迭代得出，可用于语音识别，图像识别等各种领域(Gauss mixture model is iteratively obtained by EM algorithm, and can be used in various fields such as speech recognition and image recognition)