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This code is to estimate the parameter of model of Mixture Gauss which is popular model used in pattern classification .
JAVA 写的估计复合高斯模型中的参数
-This code is to estimate the parameter of model of Jian Gauss which is popular model used in pattern cla
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预测自适应Gauss 混合模型线谱频率的量化.pdf-Predictive adaptive Gauss mixture model to quantify the frequency of line spectrum. Pdf
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EM算法计算混合高斯模型，可以计算三个参数。-Gaussian mixture model EM algorithm, three parameters can be calculated.
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基于混合高斯背景模型的背景剪除法，可以对背景进行实时的更新实现对前景的检测-Background model based on Gaussian mixture background pruning method, the background can be updated in real time to achieve the detection of future
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利用高斯混合模型实现对图像前景的提取，效果很好-Using the Gauss mixture model for image foreground extraction, the effect is very good。
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利用gauss模型生成反射系数，用于AVO反演及合成地震记录等- GAUSS_MIXTURE: Compute a reflectivity using a Gaussian Mixture model.
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混合高斯背景建模 对运动物体进行检测 有助于初学者-Gauss mixture background model for moving object detection
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高斯混合模型进行背景建模，实时获取摄像头的视频进行运动目标检测-Gauss mixture model for background modeling, real-time detection of the video camera is used for moving target acquisition
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该程序主要是实现多模态背景下的混合高斯建模，提取稳定背景图像。-The program is mainly to achieve the mixture Gauss model of multimodal background, background image extraction stability.
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基于视频的车流量统计，以背景建模为核心，采用基于高斯混合模型的背景建模方法。-Traffic statistics based on video, the background model as the core, using background modeling method based on Gauss mixture model.
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这是一个基于VC++的高斯混合模型背景重建及目标跟踪的程序，不仅有理论知识讲解，而且还有程序实现部分，望对大家有所帮助，如不明白者可以留言讨论-This is a VC++ based on Gauss mixture model background reconstruction and target tracking procedure, has not only theoretical knowledge, but also the program, we hope to help, if
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背景建模 混合高斯模型 opencv代码和matlab代码-Background modeling Gaussian mixture model opencv code and matlab code
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程序基于EM算法实现多维高斯混合模型的参数估计。-Parameter estimation of multi dimensional Gauss mixture model based on EM algorithm.
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基于混合高斯模型的背景减除实现程序，速度还可以，但是效果不是特别好，还有待改进-Gauss mixture model background subtraction procedure based on the implementation, can also speed, but the effect is not particularly good, there is room for improvement
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视频帧序列实现基于GMM（高斯混合模型）的背景建模-Video frame sequence implementation based on GMM (Gauss mixture model) background modeling
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本文主要是针对传统混合高斯模型运动目标检测算法的不足做出了一些改进-This article is for the shortcomings of traditional Gaussian mixture model moving object detection algorithm made some improvements
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混合高斯模型，内附源码、paper、测试结果、说明等。-Gaussian mixture model
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高斯混合模型，通过EM算法迭代得出，可用于语音识别，图像识别等各种领域(Gauss mixture model is iteratively obtained by EM algorithm, and can be used in various fields such as speech recognition and image recognition)
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比较好的高斯混合模型GMM，含数据生成，实验过程简单(A better Gauss mixture model GMM, including data generation, the experimental process is simple)
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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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