Description: EM算法处理高斯混和模型，是用MATLAB实现的-EM algorithm for Gaussian mixture model of treatment is achieved using MATLAB Platform: |
Size: 1024 |
Author:李晋博 |
Hits:
Description: EM算法是机器学习领域中常用的一种算法，这个文件是EM算法最简单的一种实现，即在Gaussian Mixture model上面的EM。-EM field of machine learning algorithm is commonly used in an algorithm, this document is the most simple EM algorithm as a realization that, in Gaussian Mixture model above EM. Platform: |
Size: 3072 |
Author:De-Chuan Zhan |
Hits:
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 Platform: |
Size: 1024 |
Author:李致賢 |
Hits:
Description: ％ EM algorithm for k multidimensional Gaussian mixture estimation
％
％ Inputs:
％ X(n,d) - input data, n=number of observations, d=dimension of variable
％ k - maximum number of Gaussian components allowed
％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none)
％ maxiter - maximum number of iteration allowed ([] for none)
％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none)
％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none)
％
％ Ouputs:
％ W(1,k) - estimated weights of GM
％ M(d,k) - estimated mean vectors of GM
％ V(d,d,k) - estimated covariance matrices of GM
％ L - log likelihood of estimates
％- EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates Platform: |
Size: 3072 |
Author:Shaoqing Yu |
Hits:
Description: 混合高斯模型，用于背景建模的程序，使用时请安装OPENCV-Gaussian mixture model for background modeling procedure, the use of when you install OPENCV Platform: |
Size: 5120 |
Author:肖郎 |
Hits:
Description: 通过em算法实现对数据的高斯混合模型的分类-Em algorithm through implementation of data Gaussian mixture model classification Platform: |
Size: 249856 |
Author:xufang |
Hits:
Description: EM算法简明教程 用于高斯分布隐马尔可夫模型的参数估计-Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models Platform: |
Size: 99328 |
Author:hou |
Hits:
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 Platform: |
Size: 6144 |
Author:ChipChipKnight |
Hits:
Description: 一维EM算法MATLAB实现，两分支高斯混合模型，均值和方差都不相同。-one dimensino EM algorithm implemented by MATLAB. Estimate the mean and variance of Gaussian Mixture Model with two branches. Platform: |
Size: 1024 |
Author:luoyong |
Hits:
Description: 我自己写的关于二维混合高斯分布的EM算法-I wrote about the distribution of two-dimensional Gaussian mixture EM algorithm Platform: |
Size: 1024 |
Author:lwm |
Hits:
Description: This paper is concerned with estimating a probability density function of human skin
color using a finite Gaussian mixture model whose parameters are estimated through the EM
algorithm.sections Platform: |
Size: 167936 |
Author:Shooty |
Hits:
Search - gaussian mixture EM