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SUMMARY:
The Algorithms such as SVD, Eigen decomposition, Gaussian Mixture Model, HMM etc. are scattered in different fields. There is the need to collect all such algorithms for quick reference. Also there is the need to view such algorithms in ap
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基于混合高斯模型的算法，我们可以利用该算法提取前景，检测背景！-Gaussian mixture model-based algorithm, we can take advantage of the the algorithm extracted prospects, detect background!
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文章通过设计战场电视侦察系统的智能视频处理模块，提高了战场电视侦察系统的工作效率和智能化水平。首先
分析对重要军事目标进行监控的特点，归纳运动目标的特征，根据特征建立正常模型；然后运用中值滤波对监控视频进行
预处理，再采用基于高斯混合模型的背景减除法提取运动目标，通过特征提取确定运动目标的属性，与正常模型进行匹配
处理后，得出运动目标是否异常；最后达成敌重要目标有异常出现时自动告警的目的-Abstract：This article designs the intelligent vi
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研究了基于混合高斯模型的运动目标检测技术,在分析了混合高斯模型的基本原理的基础上,使用了一种
改进的混合高斯模型更新算法
-Studied based on Gaussian mixture model of moving target detection technology, the analysis of the basic principles of Gaussian mixture model based on the use of an improved algorithm
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opencv关于高斯混合模型的说明，可以应用在图像匹配等的领域，为图像处理提供很大方便。-Opencv on gaussian mixture model that can be applied in the field of image matching, etc, provides great convenience for image processing.
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着重研究了基于高斯混合
模型（GMM, Gaussian Mixture Model)的运动目标检测算法
-Focuses on the Gaussian mixture model-based (GMM, Gaussian Mixture Model) of the moving target detection algorithm
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这篇论文基于Kernel和Gaussian Mixture Model提出了一种新的误码率估计方法，使用Stochastic Expectation-Maximization算法实现误码率实时盲估计-This report presents a new Bit Error Rate estimation method based on Kernel and Gaussian Mixture Model, the method utilizes Stochastic Expectation-Max
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1.分水岭分割成区域块
2.高斯混合模型聚类
3.区域合并-1 watershed area is divided into blocks of 2 Gaussian mixture model clustering 3 region merge
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Texture Synthesis using a gaussian mixture model
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R 语言中高维聚类package，方便快捷-Discriminant analysis and data clustering methods for high dimensional
data, based on the assumption that high-dimensional data live in different subspaces
with low dimensionality proposing a new parametrization of the Gauss
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