Description: Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) takes the dimension of the space
DIM, the number of centres in the mixture model and the type of the
mixture model, and returns a data structure MIX. Platform: |
Size: 1835 |
Author:西晃云 |
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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
％ Platform: |
Size: 3416 |
Author:Shaoqing Yu |
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Description: GMMBayes Toolbox
Feature Representation and Discrimination Based on Gaussian Mixture Model Platform: |
Size: 429701 |
Author:fgqqd |
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Description: A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP-EM algorithm. Platform: |
Size: 1822138 |
Author:634416393@qq.com |
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Description: Expectation-Maximization
The EM (Expectation-Maximization) algorithm estimates the parameters of the multivariate probability density function in a form of the Gaussian mixture distribution with a specified number of mixtures.
Platform: |
Size: 83968 |
Author:luochentianshui@126.com |
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Description: 这个源码提供了如何利用高斯混合模型去做影像辨识的参数的训练-the source how to use a Gaussian mixture model to do the imaging parameters of literacy training Platform: |
Size: 21504 |
Author:小王 |
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Description: 训练高斯混合模型的程序，尽管此类代码较多，但本程序经过笔者改写优化后，很大程度上避免了普通方法中局部最优的问题。-Gaussian mixture model training procedures, although the code more, but the procedure after the author rewrite optimization, largely avoiding the ordinary method of optimal local issues. Platform: |
Size: 2048 |
Author: |
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Description: 计算高斯混合模型先验概率和后验概率的程序，采用大矩阵运算，大大提高了运行速度。-Gaussian mixture model calculated a priori probability and the probability of post-mortem procedures, using a large matrix computation, greatly improved speed. Platform: |
Size: 1024 |
Author: |
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Description: 基于有限高斯混合模型的EM算法的源程序代码，里面有实验报告和运行结果。
-based on finite Gaussian mixture model of the EM algorithm source code, which has run reports and experimental results. Platform: |
Size: 52224 |
Author:王 |
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Search - gaussian Mixture