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- 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。
- 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。
- generalized finite mixture model 广义有限混合模型
- Based on the MFMM(Mixed Finite Mixture Models),this paper proposes a method that can estimate internal link delay distributions along a single measurement path from end-to-end measurements. 在MFMM模型的基础上提出了一种方法,能够只根据测得的端-端的时延数据,推测单一测量路径上各链路的时延密度函数。
- finite mixture model 有限混合模型
- In data modeling and analysis, finite mixture is widely used. 摘要在数据建模和分析中，有限混合体模型被广泛地使用着。
- 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。
- Finite mixture models 有限混合模型
- In the current paper, we survey some main results of AMS on Gaussian mixture or general finite mixture. 本文将对于高斯混合模型或一般有限混合体模型的自动模型选择学习算法及其典型应用进行综述与总结。
- First, we summarize some AMS learning algorithms on Gaussian or finite mixture based on the Bayesian Ying-Yang (BYY) harmony learning principle. 首先，我们综述了基于贝叶斯阴阳机和谐学习原则的自动模型选择学习算法。
- 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。
