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Description: The codes in the zipped folder is used for digit recognition. GMM is used to model the speakers.
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Size: 12288 |
Author: tunsman |
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Description: 3 books about Gaussian Mixture Models
Detail:
CLustering with GMMs
Distance between GMMs
Initialize G-3 books about Gaussian Mixture Models
Detail:
CLustering with GMMs
Distance between GMMs
Initialize GMM
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Size: 786432 |
Author: ChipChipKnight |
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Description: GMM(Gaussion Mixture Model) ,从matlab 主站获得的程序，本人已测试-Gaussion Mixture Model is down load from matlab net
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Size: 2018304 |
Author: 朱亮亮 |
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Description: EM-GMM建立背景模型，用于运动物体检测，侵入检测等-EM-GMM background model set up for moving object detection, intrusion detection, etc.
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Size: 11583488 |
Author: sxw |
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Description: 用OpenCV实现的GMM背景建模，自己写的，一直在使用-Background modeling based on GMM(Development Environment: VC, OpenCV)
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Size: 2635776 |
Author: 桑基韬 |
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Description: Gaussian Mixture Models (GMM) for speech noise reduction
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Size: 258048 |
Author: eddy |
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Description: 广义矩GMM的一个源代码，是金融、经济行业应用比较多的一个参数估计方法。-Generalized Method of Moments GMM of a source code, is a financial, economic and industrial applications are more of a parameter estimation method.
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Size: 5120 |
Author: cuimeili |
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Description: Speaker Recognition by training GMM models for the speakers in the system. Also tells if there s an impostor in the system.
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Size: 560128 |
Author: sam |
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Description: 基于混合高斯模型（GMM）的无监督聚类算法，希望对大家有帮助-Based on Gaussian mixture model (GMM) unsupervised clustering algorithm, I hope it would have help to you！
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Size: 320512 |
Author: 姜赫 |
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Description: 模式识别
关于GMM+EM+BIC，请运行附件的程序。主程序：VASceneAnalysisFH7_ICMEFull_2009.m
-Pattern Recognition on the GMM+ EM+ BIC, please run the attached file. Main program: VASceneAnalysisFH7_ICMEFull_2009.m
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Size: 6844416 |
Author: 姚其 |
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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: 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: Expectation Maximization for training GMM s, diagonal covariances. Requires vqtrain.m to have a good initialization.
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Size: 1024 |
Author: Parvatishankar |
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Description: Expectation Maximization for training GMM s, full covariances. Requires vqtrain.m to have a good initialization.
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Size: 2048 |
Author: Parvatishankar |
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Description: Computes the likelihood of a vector using a GMM.
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Size: 1024 |
Author: Parvatishankar |
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Description: 关于混合高斯模型的很好的文章，相信你看完后就一定明白混合高斯模型是什么了-With regard to Gaussian mixture model of a very good article, I believe you will understand after reading what is a Gaussian mixture model
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Size: 1861632 |
Author: 雷磊 |
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Description: gmm estimation and significance test
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Size: 3072 |
Author: Xia |
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Description: the syntax of gmm algorithm
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Size: 38912 |
Author: Xia |
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Description: In statistics, a mixture model is a probabilistic model for density estimation using a mixture distribution. A mixture model can be regarded as a type of unsupervised learning or clustering. Mixture models should not be confused with models for compositional data, i.e., data whose components are constrained to sum to a constant value (1, 100 , etc.).
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Size: 40960 |
Author: alice |
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Description: Gaussian Mixture Model test
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Size: 6144 |
Author: osh |
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