• A Gaussian Mixture Model based on color feature is adopted in static layer.

    对于静态背景层,采用基于颜色特征个数较少的混合高斯模型对背景建模;

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  • A range image segmentation algorithm based on Gaussian mixture model of surface normal is proposed.

    提出一种基于表面法向高斯混合模型距离图像分割算法

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  • The three Frames subtraction and the background subtraction of Gaussian mixture model are researched.

    重点研究差分混合高斯模型背景差分法。

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  • The effects of cavitation have also been taken into account by using a bubble two phase mixture model.

    采用气泡混合介质模型研究空化现象

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  • So the enthalpy must be calculated by the real mixture model when analyzing the humidifier of HAT cycle.

    因此HAT循环饱和器分析实际混合气体模型计算湿空气的焓值

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  • In algorithm ways, Gaussian mixture model (GMM) is the most successful speaker recognition model at present.

    算法方面高斯混合模型(GMM)目前成功一种说话人识别模型。

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  • Firstly, we introduce the theory of finite mixture model and EM algorithm for maximum likelihood estimation.

    首先介绍有限混合模型理论应用EM算法求解极大似然估计。

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  • The results from manifold modeling together with those from mixture model constitute the abstraction results.

    混合模型结果和流形建模的结果共同构成视频摘要

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  • The effect of Gaussian Mixture model used in training background model is good, but its convergence velocity is low.

    混合高斯模型训练背景模型的过程中效果良好收敛速度慢。

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  • This paper introduced three skin-color detecting model: Statistical color model, Chroma Space model and Gaussian Mixture model.

    本文介绍了常用三种肤色检测模型统计颜色模型、色度空间模型高斯混合模型。

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  • 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每个时刻的修正步骤之后采用EM算法粒子进行重新拟合。

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  • Suggestions for improving abundance estimation of linear spectral mixture model are then proposed according to the theory deduction.

    最后理论推导结论,讨论提高混合像元分解精度的可能方法

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  • This feature vector made the Gaussian Mixture Model (GMM) classifier outperform MFCC and Differential MFCC features in classification.

    混合特征使得高斯混合模型(GMM)分类器可获得比使用MFCC特征及其差分MFCC更好的分类性能。

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  • Gaussian mixture model is firstly built as the statistical model for the intensity image, with an estimation of index number using MDL.

    首先建立高斯混合灰度统计模型运用MDL准则自动确定类别数目

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  • Additionally, the semi-mixture model could be efficiently applied in forecasting N and P losses of these cropping lands in this region.

    不完全混合模型很好应用于研究区域农耕地流失

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  • In this paper a novel approach for real-time motion detection is presented, which is called motion detection with uniform mixture model.

    文章提出一种新的实时运动检测方法均匀混合模型运动检测法

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  • 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)广泛地应用文本无关的说话人识别系统,方法具有简单高效的特点。

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  • Based on mixture motifs model learning through likelihood maximization, a greedy strategy that adds sequentially new motif to a mixture model is employed.

    算法基于混合模型学习采用贪心策略通过似然度最大化逐次将新的体加入混合模型中。

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  • Complex and massive data usually appear as a mixture of multiple classes of structures and mixture model of regression classes is a description of such mixture.

    复杂海量数据往往表现多种结构特征混合体回归混合模型就是这种混合体的一个描述

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  • And then, taking into account the specific process of automatic image annotation, we built the automatic image annotation model based on Gaussian mixture model.

    针对具体自动标注过程建立基于高斯混合模型自动图像标注模型。

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  • The enthalpy of humid air is studied and is calculated by the ideal mixture model and real mixture model respectively, then the calculation results are compared.

    湿空气值为研究对象理想混合气体模型实际混合气体模型分别对含湿量恒定条件下空气的焓值进行计算比较。

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  • This paper proposes a new method of tracking the moving maritime objects in video sequences based on neighboring information fusion using Gaussian mixture model.

    本文提出了一种基于高斯混合模型邻域信息融合海面运动目标检测算法

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  • So, the ideal mixture model is adopted to estimate their densities, volume velocities, wave impedances, specific heats, Gruneisen parameters and Hugoniot coefficients.

    因此,论文选用理想混合物模型预测密度体积声速、特性阻抗(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

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  • 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)对初值敏感实际训练极易得到局部参数问题,提出了一种采用微粒群算法优化GMM参数的新方法

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  • The Linear log quotient Mixture Model for the design space, there has been the analysis solution of D-optimal design given an a - optimal design by professor Guan Ying nan.

    针对设计空间线性对数模型已有D-设计的分析形式解并关颖教授给出A -最优设计。

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  • The Linear log quotient Mixture Model for the design space, there has been the analysis solution of D-optimal design given an a - optimal design by professor Guan Ying nan.

    针对设计空间线性对数模型已有D-设计的分析形式解并关颖教授给出A -最优设计。

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