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GMM Gaussian Mixture Models in C
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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
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Player Detection Algorithm Based on Gaussian Mixture Models Background Modeling
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Matlab programs for gaussian mixture models
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Robust text-independent speaker identification using Gaussian mixture speaker models, code written in Visual C-Robust text-independent speaker identification using Gaussian mixture speaker models, code written in Visual C
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This collection of MATLAB files perform operations on Gaussian mixture models (GMMs) and Gaussian kernels (ie, Parzen windows). These utilities do evaluation, sampling, multiplication, convolution, linear transformation, mixture reduction, etc. Prese
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gaussian-mixture-models: This tool clusters the input image into n number of colored sections by synthesizing a Gaussian Mixture Model (GMM) using Expectation Maximization (EM).
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单高斯模型是一种图像处理背景提取的处理方法，适用于背景单一不变的场合，其他如混合高斯模型等方法都是对单高斯模型的扩展，单以单高斯模型最为简便，而且采取参数迭代方式，不用每次都进行建模处理。-Single Gaussian model is an image processing method for processing background extraction, suitable for constant background single occasion, other methods s
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基于2个一维高斯模型组成的多维混合高斯模型，采用Python进行编程(Multidimensional mixed Gauss model based on 2 one-dimensional Gauss models and programming with Python)
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