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[AI-NN-PRGaussian

Description: 高斯混合模型算法-Gaussian mixture model algorithm
Platform: | Size: 1647616 | Author: 马剑 | Hits:

[AlgorithmszpGauss

Description: 用C++实现的高斯混合模型的算法类,方差矩阵是对角矩阵-C++ Gaussian mixture model algorithm category, variance matrix is diagonal matrix
Platform: | Size: 4096 | Author: 方平 | Hits:

[Multimedia Developgmmclassifier

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模型分类-the source how to use a Gaussian mixture model to do imaging Identification Classification Model
Platform: | Size: 15360 | Author: 小王 | Hits:

[Audio programgmm_creation_mle

Description: 采用期望最大算法最优化初始高斯混合模型的程序,笔者借用ubm自适应方法,很好的解决了模型不收敛的问题。-expectations largest algorithm using optimization initial Gaussian mixture model procedures, the author borrowed ubm adaptive method, a good model is not the solution convergence problem.
Platform: | Size: 4096 | Author: | Hits:

[matlabGaussEm

Description: 关于高斯混合模型(GMM)的matlab源代码-on Gaussian mixture model (GMM) Matlab source code
Platform: | Size: 11264 | Author: 冯君 | Hits:

[Graph Recognizegmm_utilities

Description: Gaussian Mixture Utilities
Platform: | Size: 27648 | Author: sunxiaodian | Hits:

[AI-NN-PRE_M_matlab

Description: 机器学习中的E M算法,本代码是基于高斯混合模型的E M 算法聚类。-machine learning algorithm E M, the code is based on the Gaussian mixture model clustering algorithm E. M.
Platform: | Size: 4096 | Author: 李民 | Hits:

[OtherHMT

Description: 高斯混合模型,一个非常有用的图像处理方法-Gaussian mixture model, a very useful image processing method
Platform: | Size: 2125824 | Author: 张文国 | Hits:

[matlabMultivariateGaussianMixtureModelOptimizationbyCros

Description: Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.
Platform: | Size: 387072 | Author: 阳关 | Hits:

[AI-NN-PREMalgorithm

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:

[AI-NN-PRgmmMatlab

Description: gaussian mixture modelling in matlab
Platform: | Size: 56320 | Author: paul huang | Hits:

[AI-NN-PRem_gm

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:

[Special EffectsGaumix_EM

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:

[matlabGaussian-Mix

Description: 这是一个高斯混合模型的源代码,环境是matlab, 高斯混合模型运用于多个方面,在信号处理中应用非常广泛,初学者可以作为参考-This is a Gaussian mixture model of the source code, the environment is matlab, Gaussian mixture model applied to various aspects of signal processing applications in a very wide range of beginners can be used as reference
Platform: | Size: 3072 | Author: 亿摆 | Hits:

[matlabgmm

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: 2048 | Author: 西晃云 | Hits:

[matlabEM_GM

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:

[Windows Developm2html

Description: GMMBayes Toolbox Feature Representation and Discrimination Based on Gaussian Mixture Model
Platform: | Size: 87040 | Author: fgqqd | Hits:

[Windows Developgmmbayestb-v1.0

Description: GMMBayes Toolbox Feature Representation and Discrimination Based on Gaussian Mixture Model
Platform: | Size: 429056 | Author: fgqqd | Hits:

[Special EffectsMatlab.Gaussian.mixture.model

Description: 基于Matlab的高斯混合模型的算法实现,该程序可以实现对图像处理的功能-Matlab based on the Gaussian mixture model algorithm, the program can achieve the functions of image processing
Platform: | Size: 5120 | Author: geyu | Hits:

[Special Effectsgaussian

Description: 高斯混合模型,从97年到2011年间经典英文文献13篇,对与学习高斯模型的同学很有帮助-Gaussian mixture model, the classic English literature from 1997 to 2011, 13, very helpful with the students to learn the Gaussian model
Platform: | Size: 7809024 | Author: 国际米兰 | Hits:
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