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Description: 對model做expectation maximization
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Author: a031rex@msn.com |
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Description: The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimization of the centers and widths of the kernels. The aim is to optimize the likelihood that the given data points are generated by a mixture of Gaussians. The numbers next to the Gaussians give the relative importance (amplitude) of each component.-The EM algorithm is short for Expectation- Maximization algorithm. It is based on an ITERA tive optimization of the centers and widths of t he kernels. The aim is to optimize the likelihoo d that the given data points are generated by a mi xture of Gaussians. The numbers next to the Gaus sians give the relative importance (amplitude ) of each component.
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Size: 15360 |
Author: 陈伟 |
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Description: 期望最大化算法。MALAB编写。应用用模式识别。-expectation maximization algorithm. MATLAB prepared. Application of pattern recognition.
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Size: 4096 |
Author: Jing Fan |
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Description: EM算法，基于期望最大化原则进行密度估计-EM algorithm, based on the expectation maximization of the principle of density estimation
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Size: 3072 |
Author: 丁宏锴 |
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Description: 期望极大化（EM）算法及其应用，对从事统计研究的人比较游泳。-Expectation maximization (EM) algorithm and its application, to the conduct of statistical research compared to swimming.
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Size: 93184 |
Author: 胡兵 |
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Description: 一个在matlab环境下编写的采用expectation maximization方法计算高斯混合模型的程序。-One in the matlab environment prepared by the use of expectation maximization method GMM procedure.
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Size: 1024 |
Author: windman |
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Description: 用matlab语言写的EM(Expectation maximization)算法,用于模式分类-Matlab language used to write the EM (Expectation maximization) algorithm for pattern classification
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Size: 2048 |
Author: 罗升阳 |
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Description: 使用高斯模型期望值最大化演算法,做圖形分割
Gaumix_EM: EM Algorithm Applicated to Parameter Estimation for Gaussian Mixture
-Gaussian model using expectation maximization algorithm, to do graphics segmentation Gaumix_EM: EM Algorithm Applicated to Parameter Estimation for Gaussian Mixture
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Size: 1024 |
Author: 李致賢 |
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Description: 基于随机过程的莱斯表达式产生窄带随机过程：
2、掌握窄带随机过程的特性，包括均值（数学期望）、方差、相关函数及功率谱密度等。
-Rice random process based on the expression of narrow-band random process generated: 2, grasp the characteristics of narrow-band random process, including the mean (mathematical expectation), variance, correlation function and power spectral density and so on.
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Size: 45056 |
Author: kevin |
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Description: 非常好的EM算法介绍,不妨去看看.The Expectation Maximization Algorithm
A short tutorial-Very good introduction EM algorithm, may wish to go and see. The Expectation Maximization AlgorithmA short tutorial
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Size: 82944 |
Author: stephen |
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Description: duke的tutorial on EM的matlab经典源码，值得一看。-Matlab code for the tutorial on Expectation Maximization，worth a visit.
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Size: 8192 |
Author: yujin liu |
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Description: 统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含：
1，Analysis of linear discriminant function
2，Feature extraction: Linear Discriminant Analysis
3，Probability distribution estimation and clustering
4，Support Vector and other Kernel Machines-
This section should give the reader a quick overview of the methods implemented in
STPRtool.
• Analysis of linear discriminant function: Perceptron algorithm and multiclass
modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection
of known algorithms solving the Generalized Anderson’s Task.
• Feature extraction: Linear Discriminant Analysis. Principal Component Analysis
(PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis.
• Probability distribution estimation and clustering: Gaussian Mixture
Models. Expectation-Maximization algorithm. Minimax probability estimation.
K-means clustering.
• Support Vector and other Kernel Machines: Sequential Minimal Optimizer
(SMO). Matlab Optimization toolbox based algorithms. Interface to the
SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers.
Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell-
Demyanov-Molozenov algorithm
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Size: 4271104 |
Author: 查日东 |
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Description: I present an expectation-maximization (EM) algorithm for principal
component analysis (PCA).
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Size: 121856 |
Author: sreenath |
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Description: 关于最大似然重建方法的实现，可用于tomography reconstruction-This is the code for maximum likelihood expectation maximum reconstruction method which is frequently applied in tomography reconstruction, such as CT and PET
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Size: 1024 |
Author: Xiubin Dai |
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Description: expectation maximization algorithm
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Size: 3072 |
Author: lassaad |
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Description: Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures. This algorithm is suitable to estimate mixture parameters and the number of conpounds-Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures. This algorithm is suitable to estimate mixture parameters and the number of conpounds
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Size: 220160 |
Author: ewizlab |
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Description: 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 variations of the Expectation Maximization algorithm: the basic EM algorithm with covariance fixing, the Figueiredo-Jain clustering algorithm and the greedy EM algorithm.
The basic EM and FJ algorithms can handle complex valued data directly, the greedy EM algorithm cannot.
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Size: 20480 |
Author: 李 |
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Description: 混合高斯分布中基于最大期望算法的参数估计模型，适应于通信与信号处理以及统计学领域-Mixed Gaussian distribution algorithm based on the parameters of the greatest expectations of the estimated model, adapted to communications and signal processing, as well as the field of statistics
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Size: 6144 |
Author: 赵亮 |
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Description: Expectation-maximization algorithm
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Size: 590848 |
Author: shinytea |
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Description: Source code - create Gaussian Mixture Model in following steps:
1, K-means
2, Expectation-Maxximization
3, GMM
Notice: All datapoints are generated randomly and you can config in Config.h-Source code- create Gaussian Mixture Model in following steps:
1, K-means
2, Expectation-Maxximization
3, GMM
Notice: All datapoints are generated randomly and you can config in Config.h
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Size: 6144 |
Author: ChipChipKnight |
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