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em
- em算法的一些重要程序，值得下载参考学习-some of the important procedures em algorithm, it is worth to download the reference
EM-for-HMM-Multivariate-Gaussian-processes
- Expectation-Maximization algorithm for a HMM with Multivariate Gaussian measurement Usage ------- [logl , PI , A , M , S] = em_ghmm(Z , PI0 , A0 , M0 , S0 , [options])
EM
- 一款关于EM算法的基于C的程序，大家可以共同探讨！-EM algorithm is based on a C program, we can discuss!
EM-algorithem
- 自己小结的期望最大化算法（EM算法），很详细。-Own summary of the expectation-maximization algorithm (EM algorithm), in great detail.
EM
- EM algorithm is the machine learning a very important algorithm, is expected to maximize algorithm
Backup-EM-presentation
- EM算法，简单使用，可以直接使用，稍作修改更佳-EM Algorithm
em
- EM算法的Matlab实现，针对GMM模型-EM algorithm for GMM Model
EM
- EM算法正确收敛性的探讨，用于在图像处理中图像分割时应用EM，而算法有时不收敛的情况。-The EM Algorithm Convergence of the correct application of the EM for image processing in image segmentation algorithm sometimes does not converge.
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
em
- A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models
EM
- EM算法，最大期望值算法，用MATLAB程序来编程-EM algorithm, expectation maximization algorithm using MATLAB program to program
EM-
- EM检测 初级实例 多高斯混合 First, one of the k Normal distributions is selected at random. Second, a single random instance xi is generated according to this selected distribution. -EM algorithm (Dempster et al.1977)，a widely used approach to learning in the pr
EM
- EM算法实现，无密码，绝对可以使用，欢迎下载-EM algorithm and password, can definitely use, welcome to download
em(1)
- EM算法实现高斯混合模型参数估计的matlab程序，可以下载学习。-EM algorithm to achieve the matlab program Gaussian mixture model parameter estimation, you can download the study.
em
- 在统计计算中，最大期望（EM）算法是在概率（probabilistic）模型中寻找参数最大似然估计或者最大后验估计的算法，其中概率模型依赖于无法观测的隐藏变量（Latent Variable）。最大期望经常用在机器学习和计算机视觉的数据聚类（Data Clustering）领域。 -In the statistical calculations, the maximum expected (EM) algorithm parameter maximum likelihood estimate
EM
- EM最大期望算法：算法是在概率模型中寻找参数最大似然估计或者最大后验估计的算法，其中概率模型依赖于无法观测的隐藏变量。最大期望经常用在机器学习和计算机视觉的数据聚类领域。-EM algorithm
em
- EM 聚类算法，以简单的代码实现了EM算法的功能-EM algorithm
EM
- 本程序一维数据的EM算法实现，稍作修改就可以成为多维数据的EM算法实现。-EM algorithm for one-dimensional data of the program implementation, minor modifications can become the cube of the EM algorithm.
EM-suanfa-hunhegaosi
- em算法计算混合高斯模型的参数估计，极大似然，EM算法用于K均值问题的参数估计。MATLAB实现有代码-em algorithm Gaussian mixture model parameter estimation, maximum likelihood parameter estimation for K-means problem EM algorithm. MATLAB implementation code
EM
- 该算法利用概率论中最大似然估计实现EM算法，通过对理论图像和统计图像的比较得出结果。-The algorithm uses the probability of the maximum likelihood estimate EM algorithm, the results of the comparison of theoretical imagery and statistical image.