Search - Gaussian Mixture

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[AI-NN-PR] Gaussian DL : 0: 高斯混合模型算法-Gaussian mixture model algorithm
Update : 2025-02-19 Size : 1.57mb Publisher : 马剑
[Algorithm] szpGauss DL : 0: 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
Update : 2025-02-19 Size : 4kb Publisher : 方平
[Multimedia Develop] gmmclassifier DL : 0: 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
Update : 2025-02-19 Size : 15kb Publisher : 小王
[Audio program] gmm_creation_mle DL : 0: 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.
Update : 2025-02-19 Size : 4kb Publisher :
[matlab] GaussEm DL : 0: 关于高斯混合模型（GMM）的matlab源代码-on Gaussian mixture model (GMM) Matlab source code
Update : 2025-02-19 Size : 11kb Publisher : 冯君
[Graph Recognize] gmm_utilities DL : 0: Gaussian Mixture Utilities
Update : 2025-02-19 Size : 27kb Publisher : sunxiaodian
[AI-NN-PR] E_M_matlab DL : 0: 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.
Update : 2025-02-19 Size : 4kb Publisher : 李民
[Other] HMT DL : 0: 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
Update : 2025-02-19 Size : 2.03mb Publisher : 张文国
[matlab] MultivariateGaussianMixtureModelOptimizationbyCros DL : 0: Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.
Update : 2025-02-19 Size : 378kb Publisher : 阳关
[AI-NN-PR] EMalgorithm DL : 0: 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
Update : 2025-02-19 Size : 1kb Publisher : 李晋博
[AI-NN-PR] gmmMatlab DL : 0: gaussian mixture modelling in matlab
Update : 2025-02-19 Size : 55kb Publisher : paul huang
[AI-NN-PR] em_gm DL : 0: 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.
Update : 2025-02-19 Size : 3kb Publisher : De-Chuan Zhan
[Special Effects] Gaumix_EM DL : 0: 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
Update : 2025-02-19 Size : 1kb Publisher : 李致賢
[matlab] Gaussian-Mix DL : 0: 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
Update : 2025-02-19 Size : 3kb Publisher : 亿摆
[matlab] gmm DL : 0: 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.
Update : 2025-02-19 Size : 2kb Publisher : 西晃云
[matlab] EM_GM DL : 0: ％ 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
Update : 2025-02-19 Size : 3kb Publisher : Shaoqing Yu
[Windows Develop] m2html DL : 0: GMMBayes Toolbox Feature Representation and Discrimination Based on Gaussian Mixture Model
Update : 2025-02-19 Size : 85kb Publisher : fgqqd
[Windows Develop] gmmbayestb-v1.0 DL : 0: GMMBayes Toolbox Feature Representation and Discrimination Based on Gaussian Mixture Model
Update : 2025-02-19 Size : 419kb Publisher : fgqqd
[Special Effects] Matlab.Gaussian.mixture.model DL : 0: 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
Update : 2025-02-19 Size : 5kb Publisher : geyu
[Special Effects] gaussian DL : 0: 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
Update : 2025-02-19 Size : 7.45mb Publisher : 国际米兰

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