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EM_introduction
- em算法原理，帮助你理解EM算法，EM算法是 自然语言理解中的经典重要的算法，基本上是 学习自然语言理解的基础-EM algorithm, help you to understand the thereom of EM
EM_Introduction
- EM算法的模型聚类的研究及应用 EM算法的模型聚类的研究及应用 EM算法的模型聚类的研究及应用-EM+AlgorithmEM+AlgorithmEM+AlgorithmEM+AlgorithmEM+AlgorithmEM+AlgorithmEM+AlgorithmEM+AlgorithmEM+Algorithm
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
EM_GM
- em算法的介绍和一个 游泳的事例是大家学习交流的很好的程序请大家多顶-good
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
src.tar
- Mixture Models EM algorithm
gmmbayestb-v0.1.tar
- This package contains Matlab m-files for learning finite Gaussian mixtures from sample data and performing data classification with Mahalanobis distance or Bayesian classifiers. Each class in training set is learned individually with one of the three
EMPCA
- An implemantation of PCA by EM algorithm
Antenna_and_EM_Modeling_with_MATLAB_Sergey_N_Maka
- Antenna and EM Modeling with MATLAB - Sergey N. Makarov (.m Files).rar-Antenna and EM Modeling with MATLAB- Sergey N. Makarov (.m Files).rar
EMGMMSeg
- GMM-EM聚类程序，输入是一维数据，很有用的程序。-GMM-EM clustering procedure, very useful.
11111
- 125k em卡读卡程序 门禁设计源码 125k em卡读卡程序 门禁设计源码-125k em card reader access control procedures for the design of source
EM(1020B)
- Expectation-maximization algorithm
EmMicroelectronic
- EM MICROELECTRONIC RFID Application Note
HMM1guide
- How to use the HMM toolbox HMMs with discrete outputs Maximum likelihood parameter estimation using EM (Baum Welch)
EM_GM
- EM算法实现,是matlab主站上获得的可靠程序。-EM algorithm，which is from the matlab net about image processing.
backmodel
- EM-GMM建立背景模型，用于运动物体检测，侵入检测等-EM-GMM background model set up for moving object detection, intrusion detection, etc.
EM_GM_fast
- EM算法的高斯分布的MATLAB程序源码实现-EM Algorithm for Gaussian distribution of the MATLAB program source code to achieve
probabalistic_PCA
- Probabilistic Principal Component Analysis – Latent variable models – Probabilistic PCA • Formulation of PCA model • Maximum likelihood estimation – Closed form solution – EM algorithm » EM Algorithms for regular PCA
DDEM
- distributed EM algorithm