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用opencv编写的GMM，用于进行前景检测，人物探测，目标跟踪-Gaussian Mixture Model for human tracking
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混合高斯模型算法，可以产生混合高斯分布，并通过自拟和确定高斯函数个数。-Gaussian mixture model algorithm, can produce a mixture of Gaussian distribution, and through self-fitting to determine the number of Gaussian function.
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基于Expectation Maximization算法优化的高斯混合模型在3D图像数据聚类中的应用。-This is a 3D visualization of how the Expectation Maximization algorithm learns a Gaussian Mixture Model for 3-dimensional data.
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高斯混合模型训练新的说话人模型用于说话人识别中-Gaussian mixture model training new speaker model for speaker recognition
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高斯混合模型K均值算法matlab源程序用于说话人识别中-Gaussian mixture model K-means algorithm matlab source code for speaker recognition
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高斯混合模型对目标说话人识别的matlab源程序-Gaussian mixture model of the target speaker recognition matlab source
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变分高斯多模态模型，可以应用于过程监控，故障检测-varitional infinite Gaussian mixture model
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EM algorithm for Gaussian Mixture Model
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在matlab平台上，基于混合高斯模型的前景提取。-Matlab platform, based on Gaussian mixture model prospects extract.
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高斯混合模型的matlab程序，需要配说明使用-Gaussian mixture model matlab program, with instructions to use
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GMM program that will help to implement the concept of gaussian mixture model
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Matlab programm for gaussian mixture model
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高斯拟合模型的C++实现，包含main和GMM.h实现,c++ implementation of Gaussian Mixture Model
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读入avi,利用混合高斯模型，检测出运动的前景和背景信息。VS2008+opencv2.4.3-Read into avi, Gaussian mixture model to detect the movement of the foreground and background information. VS2008+opencv2.4.3
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opencv中运动目标检测经典算法高斯混合模型源代码及注释-Gaussian mixture model opencv moving target detection classical algorithm source code and Notes
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Visual C++ 中对视频基于混合高斯模型的目标检测-Gaussian mixture model-based target detection
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一种高斯混合模型的参数训练方法，主要应用高斯混合模型的参数训练-Parameters of a Gaussian mixture model training method, the main application of the parameters of the Gaussian mixture model training
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通过建立高斯混合模型用于运动目标检测，将视频帧检测为前景和背景-Target detection through the establishment of Gaussian mixture model for motion video frame detection for foreground and background
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不错的GM_EM代码。用于聚类分析等方面。- GM_EM- fit a Gaussian mixture model to N points located in n-dimensional
space.
Note: This function requires the Statistical Toolbox and, if you wish to
plot (for k = 2), the function error_ellipse
Elem
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经典的高斯混合模型背景建模+肤色检测的Matlab实现-Classic Gaussian mixture model background modeling+ skin detection Matlab achieve
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