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fluid and solid 2-phase turbulence mixture model 液固两相湍流混合物模型
Based on finite Gaussian mixture model of the EM algorithm source code, which has run reports and experimental results. 详细说明:基于有限高斯混合模型的EM算法的源程序代码,里面有实验报告和运行结果。
Then, built the color model for background and foreground utilizing the GMM (Gaussian mixture model). 然后利用高斯混合模型建立其前景和背景区域的颜色模型；
So the enthalpy must be calculated by the real mixture model when analyzing the humidifier of HAT cycle. 因此,HAT循环饱和器分析应按实际混合气体模型计算湿空气的焓值。
We use the fixed-arithmetician DSP chip (chipboard) in the DSP, the algorithm of recognition is Gaussian mixture model. DSP方面使用的是定点运算的DSP板，而辨识的演算法是利用高斯混合模型。
It uses Gassian mixture model to represent particles and adopts EM algorithm to refit particles after correction step at each time. 该算法使用混合高斯模型表示粒子，在每个时刻的修正步骤之后，采用em算法对粒子进行重新拟合。
The result indicates that vegetation abundance estimation based on linear spectral mixture model can reach high accuracy. 研究结果表明,线性光谱混合模型估算城市植被覆盖度能够达到较高精度。
The system is characterized by adopting the mixture model of C/S and B/S and using the key code as identity recognition. 文中主要是从身份的识别和密钥生成、分配、传递体系，这两个方面分析和解决系统的安全问题。
Gaussian mixture model(GMM) has been widely used for text-independent speaker recognition.This method has simple and efficient character. 高斯混合模型(GMM)已广泛地应用于文本无关的说话人识别系统,该方法具有简单高效的特点。
This dissertation adopts ASR based on Gaussian Mixture Model (GMM), so re-search emphasizes on robust features and speech enhancement techniques. 消除噪声所带来的失配可以映射到信号空间、特征空间和模型空间。
Gaussian mixture model (GMM) is first trained for grass pixel, the grass distribution is then computed based on the trained GMM. 首先利用高斯混合模型(GMM)对草地颜色建模，然后利用已建立的GMM计算出每个镜头的草地颜色分布特征。
It is focused on the typical clustering methods-Gaussian mixture model (GMM) and its variant to demonstrate the feasibility of the framework. 文中用典型的聚类型方法高斯混合模型来说明该框架的可行性。
We put forward a classifying algorithm for compositional data based on finite mixture model with Dirichlet distribution. 我们采用Dirichlet分布的有限混合模型建立了对成分数据聚类的算法。
The error analysis of linear spectral mixture model based on error propagation law and value simulation has investigated to exposure their relationships. 摘要从误差传播理论的角度，分析了多选端元光谱、漏选端元光谱以及端元内部光谱变化等情况与混合像元分解精度之间的关系。
Introduce a novel feature selection algorithm based on Gaussian mixture model and do clustering on synthetic and real data making use of the results of the algorithm. 摘要介绍了一种新颖的基于高斯混合模型的特征选择算法，并且应用该方法的结果对模拟数据和真实数据进行聚类。
The experimental results show that the proposed model can effectively cope with the inaccurate updating problem in the Gaussian mixture model due to the fixed update rate. 实验结果表明，该模型能较好地处理混合高斯模型因采用同一更新速率导致的背景模型更新错误问题。
The traditional training methods of Gaussian Mixture Model(GMM) are sensitive to the initial model parameters,which often leads to a local optimal parameter in practice. 为了解决传统高斯混合模型(GMM)对初值敏感,在实际训练中极易得到局部最优参数的问题,提出了一种采用微粒群算法优化GMM参数的新方法。
Immediately after the paper researches the finite mixture model thoroughly cluding the deduce of the model and the application in the image segmentations . 接着重点对有限混合模型进行了深入的研究,主要是对该有限模型进行了理论上的推导以及它在图像分割中的应用。
In this paper, a speaker identification system is proposed based on classify Fea-ture Sub-space Gaussian Mixture Model and Neural Net fusion (FS-GMM/NN) . 该文提出了一种基于分类高斯混合模型和神经网络融合(FS-GMM/NN)的说话人识别方法，通过对特征矢量进行聚类分析，将说话人的训练语音分成若干类。
So,the ideal mixture model is adopted to estimate their densities, volume velocities, waveimpedances, specific heats, Gruneisen parameters and Hugoniot coefficients. 因此，论文选用理想混合物模型来预测其密度、体积声速、特性波阻抗(以后在本论文中简称波阻抗)、比热、格林爱森常数、冲击雨贡纽系数等物性参数。