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8下载：
关于高斯混合模型（GMM）的matlab源代码：,On the Gaussian mixture model (GMM) of the matlab source code:
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这是一篇详细介绍人脸检测与语音驱动口型的文章，其中使用了高斯混合模型采取了无监督聚类的方法，希望对你有用。,This is a detailed introduction Face Detection and voice-driven I-type article, which uses the Gaussian mixture model taken unsupervised clustering method, in the hope that useful to you.
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此代码实现了基于码书的背景建模法在运动目标检测中的运用,This code implementation code book based on background modeling method in target detection exercise in the use of
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混合高斯背景建模，利用该方法建立动态视频中运动背景建模，得到较好效果-mixture of gaussian
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最大的高斯混合模型似然估计的期望最大化算法-Maximum likelihood estimation of Gaussian mixture model by expectation maximization algorithm
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这个程序用于在图片中增加各种噪声，如高斯椒盐噪声, 加性或乘性等多种混合噪声，用于其它程序的测试。-This procedure is used to increase the variety of picture noise, such as salt and pepper Gaussian noise, additive or multiplicative noise, such as a mixture for testing other programs.
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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
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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.
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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
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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. . .
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this program is implementation of gaussian mixture model.
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This can be useful to Understand the Gaussian Mixture Model for Adaptive Background updation
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EM基于高斯混合模型的EM算法,EM基于高斯混合模型的EM算法EM基于高斯混合模型的EM算法-EM-based EM algorithm for Gaussian mixture model
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背景消去算法，Mixture of Gaussian frame_difference approximate_median-Background_Subtraction_with_MCS Mixture of Gaussian frame_difference approximate_median
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GMM Model Gaussian Mixture Models - Algorithm and
Matlab Code-GMM Model!
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Mixture of linear regressors. The routines contained in this file allow inference and learning of a mixture of linear-Gaussian regression models. Learning is performed by maximizing the data likelihood via the expectation maximization algorithm.
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实现基于混合高斯模型的运动目标检测算法的仿真-Achieved based on Gaussian mixture model simulation of moving target detection algorithm
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基于混合高斯模型的背景减除算法实现。matlab代码。-Gaussian mixture model-based background subtraction algorithm. matlab code.
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用于背景差分的高斯混合建模，实现运动目标检测，c++源码可编译执行-Difference of Gaussian mixture for the background model for moving object detection, c++ source code can be compiled implementation
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Program for fitting Mixture of Gaussian
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