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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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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
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两个模式识别算法实现，一个是线性区别函数另一个是混合高斯模型方法。本人的大作业，经验证可用。-Two pattern recognition algorithm, the difference between a linear function of the other is the Gaussian mixture model. I am a big operation, experience certificates available.
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:高斯混合模型(GMM)是一种经典的说话人识别算法，本文在实现其算法的同时，主要模拟了不同噪声环境情况下高斯混合模型
(GMM)的杭嗓声性能，得到了一些有益结论。
-Gaussian mixture model (GMM) is a classic speaker recognition algorithms, this algorithm at the same time in fulfilling its main simulated environmental conditions
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Implementation of background subtraction algorithm using Gaussian mixture model.
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GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Ex
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simulink下封装的混合高斯的s-funcion函数。用于模型模块的搭建。-simulink package under the Gaussian mixture of s-funcion function. The structures used to model the module.
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OPENCV下基于高斯混合模型的图像分割，程序中还有
基于大津法的图像分割和金子塔分割。-OPENCV Based on Gaussian mixture model of image segmentation, the program also includes Otsu method based on image segmentation and the segmentation pyramid.
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Visual C++ 与 Opencv 联合实现的混合高斯模型背景提取与更新。-Opencv Visual C++ and the joint implementation of the Gaussian mixture model background extraction and updating.
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基于复杂背景，单运动目标的检测，原始混合高斯模型背景更新与检测-Based on complex background, a single moving target detection, the background of the original Gaussian mixture model updated with the detection
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Speaker recognition is the task of validating individual s identity using invariant features extracted from their voices print. Speaker recognition technology common applications include authentication, surveillance and forensic applications. This Pa
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一篇详细的介绍高斯混合模型（GMM）参数优化及实现的文档，有实例, 包括VC及matlab 实现。初始学者一看就能懂-A detailed descr iption of Gaussian mixture model (GMM) parameter optimization, and implementation documentation, including the VC and the matlab implementation
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This paper is concerned with estimating a probability density function of human skin
color using a finite Gaussian mixture model whose parameters are estimated through the EM
algorithm.sections
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可以从摄像头采集实时监测的混合高斯模型算法-Collected from real-time camera monitoring of Gaussian mixture model algorithm
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this code is a important of gaussian mixture model for image processing
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自适应的选择高斯混合模型个数，并用EM算法估计参数-Adaptive selection of the number of Gaussian mixture model and estimated parameters using EM algorithm
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本程序，是SAR图像的提机密性，如广义高斯混合模型，welbull模型和高斯模型等等，是学习SAR图像统计模型的基础程序-This procedure is a SAR image to mention confidentiality, such as the generalized Gaussian mixture model, welbull model and Gaussian model, is the study of the SAR image statistical model p
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应用混合高斯模型进行建模，讲解了混合高斯模型的原理，并附有实现的程序，有三种方法看，调试通过-Model the application of Gaussian mixture model to explain the principle of the Gaussian mixture model, together with the realization of the program, there are three ways of looking at debugging through
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an incremental learning process of Gaussian Mixture Model (GMM)
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基于高斯混合模型的背景减除法，及目标检测额实现-Based on the background of the gaussian mixture model reduction division, and target detection amount to realize
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