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Gaussian.mixture.model.Method
- 高斯混合模型是單一高斯機率密度函數的延伸，由於GMM 能夠平滑地近似任意形狀的密度分佈，因此近年來常被用在語音與語者辨識，得到不錯的效果。-Gaussian mixture model is a single Gaussian probability density function of the extension, as the GMM can approximate arbitrary smooth shape of the density distribution, it is ofte
eblearn.tar
- Gaussian Mixture Algorithm
Cross-Entropy
- 交叉熵实现多元高斯混合模型优化的源代码，供大家学习使用-Realize cross-entropy optimization of multi-Gaussian mixture model of the source code for the U.S. study the use of
Gaussian_mixture_model
- 高斯混合模型[Gaussian mixture model,简称GMM]是单一高斯机率密度函数的延伸,由於GMM 能够平滑地近似任意形状的密度分布,因此近年来常被用在语音与语者辨识,得到不错的效果。 -Gaussian mixture model [Gaussian mixture model, referred to as GMM] are single-Gaussian probability density function of the extension.GMM can approxi
EM_GM
- 针对于K维高斯混合模型估计的期望最大算法-EM algorithm for k multidimensional Gaussian mixture estimation
codes
- 这个文件包里包含了几乎所有的聚类的工具箱，包含采用混合高斯模型的运动物体检测方面的源代码。-This document contains the bag almost all the clustering of the toolbox, including the use of Gaussian Mixture Model of Moving Objects for testing source code.
gmm-gmr
- GMM Gaussian Mixture Models in C
gmm_test1
- 使用高斯混合模型（GMM)模拟模式识别的源代码-The use of Gaussian mixture model (GMM) Analog Pattern Recognition of the source code
EM_for_classify
- 混合高斯模型EM算法,对数据样本进行归类-EM algorithm by mixture gaussian model, calssify the data samples
markov
- 基于高斯混合模型markov树算法的图像分割-Gaussian mixture model based markov tree algorithm for image segmentation. . .
gussmodel
- 混合高斯模型建模，对视频中背景进行混合高斯建模，在摄像机不动的环境中应用广泛-Gaussian Mixture Modeling of video Gaussian mixture background modeling, at the fixed cameras are widely used environment
GMM
- 利用K-高斯混合模型提取视频的前景信息。-The use of K-Gaussian mixture model for the future of video information extraction
GentleTutorialoftheEMAlgorithm
- EM算法（英文）A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models-A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture a
GAUSS
- Gray先生的大作，描述高斯混合矢量量化方法进行说话人识别的方法-Daisaku Mr. Gray describes the Gaussian mixture vector quantization approach to speaker recognition method
fsmem_mvgm
- Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures. This algorithm is suitable to estimate mixture parameters and the number of conpounds-Free Split and Merge Expectation-Maximization algorithm for Multivariate
my_GMM
- this program is implementation of gaussian mixture model.
Image_Bib4
- This can be useful to Understand the Gaussian Mixture Model for Adaptive Background updation
Bib6
- This can be useful to Understand the Gaussian Mixture Model for Adaptive Background updation
MixtGaussian
- Gaussian mixture model
vdpgm.tar
- Variational Dirichlet Process Gaussian Mixture Model