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Description: 改进的gmm（高斯混合模型）算法，是单一高斯几率密度函数的衍生-Improved gmm (GMM) algorithm, a single Gaussian probability density function of the derivative
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Size: 3072 |
Author: rch |
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Description: 这是一款用C++编写的实现gmm算法的程序，有样例程序，实现了EM算法来寻找GMM参数。-This is a used C++ Prepared gmm algorithm to achieve the procedure, there are sample procedures, the realization of the EM algorithm to find GMM parameters.
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Size: 32768 |
Author: 阿商 |
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Description: GMM工具箱第一部分。包含了GMM算法的各个函数，对GMM建模很有帮助.-GMM first part of the toolbox. GMM algorithm contains all functions of GMM modeling helpful.
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Size: 104448 |
Author: chenjie |
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Description: 实现混合高斯模型的聚类算法 利用最大似然估计和最大期望的方法来实现混合高斯模型-Gaussian mixture model to achieve clustering algorithm using the maximum likelihood estimation and the greatest way to achieve the desired mixed-Gaussian model
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Size: 233472 |
Author: realwill |
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Description: 这是一款用matlab编写的GMM算法，有样例，实现用EM算法寻找GMM参数-This is a matlab prepared using GMM algorithm, there is a sample, look for implementation using EM algorithm for GMM parameter
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Size: 39936 |
Author: Ruby |
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Description: fast EM GM algorithm solving long computation time in matlab
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Size: 14336 |
Author: Pavol Mulinka |
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Description: 在实时平台上,高斯混合模型(GMM)具有计算有效性和易于实现的优点。最大似然规则中,模型参数不
断更新,但由于爬山特征,任意的原始模型参数估计通常将导致局部最优 遗传算法(GA)适于求解复杂组合优化问
题及非线性函数优化。提出了基于说话人识别的可以解决GMM局部最优问题的GMM/GA新算法,实验结果表明,
提出的GMM/GA新算法比纯粹的GMM算法能获得更优的效果。
- In real-time platform, the Gaussian mixture model (GMM) with the calculation of the effectiveness and easy to realize benefits. Maximum likelihood rule, the model parameters are not
Broken updates, but due to climbing features, any of the original model parameter estimation will usually result in local optimum genetic algorithm (GA) is suitable for solving complex combinatorial optimization question
Title and non-linear function optimization. Proposed speaker recognition based on GMM can solve the problem of local optimal GMM/GA new algorithm, experimental results show that the
Proposed GMM/GA new algorithm than purely GMM algorithm can get better results.
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Size: 4448256 |
Author: 于高 |
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Description: :高斯混合模型(GMM)是一种经典的说话人识别算法，本文在实现其算法的同时，主要模拟了不同噪声环境情况下高斯混合模型
(GMM)的杭嗓声性能，得到了一些有益结论。
-Gaussian mixture model (GMM) is a classic speaker recognition algorithms, this algorithm at the same time in fulfilling its main simulated environmental conditions under different noise Gaussian mixture model
(GMM) of the Hang throat sound performance, and obtained some useful conclusions.
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Size: 119808 |
Author: 于高 |
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Description: 混合高斯em算法matlab源码可算三个参数-Em algorithm for Gaussian mixture can be considered three parameters matlab source
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Size: 9216 |
Author: 何卫华 |
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Description: the syntax of gmm algorithm
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Size: 38912 |
Author: Xia |
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Description: Bayesian mixture of Gaussians. This set of files contains functions for performing inference and learning on a Bayesian Gaussian mixture model. Learning is carried out via the variational expectation maximization algorithm.
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Size: 6144 |
Author: ruso |
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Description: MATLAB中实现GMM算法的原始代码，实现图像分割-GMM algorithm implemented in MATLAB source code for image segmentation
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Size: 12288 |
Author: 许浩然 |
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Description: 关于自适应高斯混合模型球场检测算法及其在体育视频分析中的应用-Adaptive Gaussian mixture model of pitch detection algorithm and its application in sports video analysis
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Size: 1611776 |
Author: 张文 |
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Description: 求高斯混合模型的EM算法，matlab程序。-Seeking EM algorithm for Gaussian mixture model, matlab program.
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Size: 13312 |
Author: 猛 |
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Description: 是基于matlab的语者识别系统。包括了预处理，mfcc，和gmm算法匹配。-Matlab-based speaker recognition system. Including the pretreatment, mfcc, and gmm algorithm match.
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Size: 224256 |
Author: dtjtracy |
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Description: 可以从摄像头采集实时监测的混合高斯模型算法-Collected from real-time camera monitoring of Gaussian mixture model algorithm
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Size: 1722368 |
Author: zhao |
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Description: 高斯k均值程序算法，k-means是一种常用的聚类算法，可以实现数据的聚类。-K-means algorithm for Gaussian process, k-means clustering algorithm is a commonly used, can achieve data clustering.
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Size: 9216 |
Author: xiajulong |
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Description: 一种改进的混合高斯模型（GMM）算法，加入形态学滤波与团块处理算法，运动目标提取效果良好。(An improved hybrid Gauss model (GMM) algorithm, which combines morphological filtering and blob processing algorithm, achieves good moving target extraction.)
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Size: 7823360 |
Author: 不能真剁手
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Description: 此算法实现高斯混合，可以对初始聚类算法选择c均值和EM，可以实现密度估计和分类。(This GMM algorithm can estimate the density and class, the initial steps can select the C-mean and EM.)
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Size: 10240 |
Author: 永yong
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Description: python实现GMM算法，并使用NMI进行算法评估(Python implementation of GMM algorithm)
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Size: 2048 |
Author: Michael22 |
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