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- The former models skin regions with Gaussian mixture model (GMM) and sets up rules for skin detection. 针对GMM中分量数合理选择问题,提出一种基于聚类有效性函数的最优分量数确定方法,以提高肤色检测的精度。
- 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。
- The author proposes a textured image segmentation algorithm which is based on multiresolution wavelet and Gaussian mixture models. 提出了一个基于多分辨率小波采样和高斯混合模型的纹理图像分割方法。
- Firstly, we built an adaptive background mixture models in the hue-saturation value (HSV) color space, and got the background quickly. 首先在色相、饱和度和亮度(HSV)颜色空间建立自适应的背景混合模型快速提取背景；
- 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。
- All of those lower resultant image and original image are integrated to a feature vector of a pixel. Those pixels are segmented by Gaussian mixture models. 分解后的小波系数和图像共同组成了相应像素的特征向量,然后利用高斯混合模型进行分割。
- A neural network model based on Gaussian Mixture Models has been devised by Dirk Husmeier in 1997 in order to predict the conditional probability densities. Dirk Husmeier于1997年设计了一个基于高斯混合模型(简称GM模型)的神经网络用来预测概率密度。
- 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。
- For the single mixture model it weights the models of MPE and MLE based on the confusion of them.For the multi mixture model, a model selection method is proposed. 针对多混合分量的模型;提出一种模型选择的算法来获取新的模型参数.;实验表明;与MPE算法相比;对单分量的情况;该算法可以使系统的误识率相对降低4\\%25左右；
- 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。
- This paper discusses mainly the track association problem for multitarget tracking system.A novel algorithm of track correlation based on Gaussian mixture models is proposed. 摘要文中引入了高斯混合模型的概念，根据其统计特性，针对边扫描边跟踪雷达中的多目标跟踪问题，提出了一种新的判断航迹相关的算法。
- 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。
