gaussian mixture model的例句大全

The research results are as follows: The author models each pixel of the image with Gaussian Mixture Model ( GMM), to calculate the probability of background pixel in the current image so as to abstract foreground moving objects.

本文的研究成果如下：使用高斯混合模型（GMM）对图像的每个像素进行建模，来计算当前图像中属于背景像素的概率，从而提取出前景运动目标。

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In order to minimize the interference of background music, a SVM-based vocal segment detector is trained to detect the most likely vocal segments for singer identification, with Gaussian mixture model applied to the task of singer identification.

为了减少背景音乐的干扰，使用一个基于支持向量机的语音检测系统寻找最有可能的语音片段用于歌者识别，歌者识别算法使用了高斯混合模型。

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The Gaussian mixture model algorithm was deeply analyzed. It was used to detect moving targets in the surveillance video and obtained very good results. A clear outline of the moving object was detected.

深入分析了高斯混合模型算法，并用于检测监控视频中的运动目标，得到了非常好的效果，检测到的运动目标轮廓清晰。

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The PSD and PDF of sample series can be well fit with the AR model and Gaussian mixture model respectively.

AR模型、混合高斯模型分别可以很好地拟合样本的功率谱和概率密度。

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The joint distribution of prior probability is estimated using the Expectation Maximization algorithm in detail. And we utilized joint distribution of Gaussian prior probability to compensate feature parameters. The parameter estimation formula of joint Gaussian Mixture Model was also derived.

在此基础上，引入倒谱的动态差分特征，采用期望最大化算法，估计先验概率的联合分布，利用联合高斯先验概率进行特征补偿，并推导了联合高斯混合模型的参数估计公式。

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Brain MR images skull stripping model based on multi-Gaussian mixture model

多元高斯混合模型脑MR图像去壳模型

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Auto Segmentation of Brain MR Image Based on Gaussian Mixture Model Diffusion

基于高斯混合模型的脑部MR图像自动分割

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MR Image Segmentation of Left Ventricle Based on the Multi-information Gaussian Mixture Model

基于多元信息的高斯混合模型左心室MR图像分割

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MRI Segmentation via Active Contour Model Improved with Gaussian Mixture Model

高斯混合模型改进的活动轮廓模型MRI分割

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A Study of EM Learning Algorithm Based on Gaussian Mixture Model

基于高斯混合模型的EM学习算法

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A Novel CFAR Algorithm for Detecting Targets in SAR Images Using Gaussian Mixture Model

利用高斯混合模型的SAR图像目标CFAR检测新方法

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Robust Voice Activity Detection Algorithm Based on Complex Gaussian Mixture Model

基于复高斯混合模型的鲁棒VAD算法

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When the noise is severe such as 9%, the segmentation accuracy of K-means clustering algorithm, fuzzy C means and method based on Gaussian mixture model decrease 4% averagely.

当噪声程度达到9%时，K均值法、模糊C均值法和高斯混合模型的分割准确率平均下降了4%。

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We adopt the output of Gabor filters as feature and Gaussian mixture model ( GMM) as the classifier.

本文采用Gabor滤波器的输出结果作为特征，高斯混合模型（GMM）作为分类器对织物瑕疵分类。

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This paper focuses on the speaker recognition system based on Mel-Frequency Cepstrum Coefficients ( MFCC) and Gaussian Mixture Model ( GMM).

在众多的说话人识别技术中，本文主要研究了基于Mel频率倒谱系数（Mel-Frequency Cepstrum Coefficients，简称MFCC）和高斯混合模型（Gaussian mixture model，简称为GMM）的说话人识别系统。

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Gaussian mixture model ( Gaussian Mixture Models, GMM) is an important method of machine learning, which aims to establish a probability model for the target data set.

高斯混合模型（Gaussian mixture models，GMM）是一种重要的机器学习方法，其目的是建立目标数据集的概率模型。

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

在算法方面，高斯混合模型（GMM）是目前最成功的一种说话人识别模型。

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To avoid deforming contours directly in a vector-valued space, a Gaussian mixture model ( GMM) is used to describe the statistical distribution of the space and get the boundary and region probabilities.

为了避免直接在多维空间中应用曲线演化模型，采用高斯混合模型（Gaussian mixture model，简称GMM）来描述该特征图像的概率分布，再从分布模型中计算得到每个像素点的区域信息和边界信息。

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Gaussian Mixture Model ( GMM) is used to approximate the pdf of sources and results in a practical Expectation Maximum ( EM) algorithm.

采用高斯混合模型（GMM）来逼近源信号的概率密度函数，简化了算法中的积分，导出了一种实用的期望最大算法（EM）算法迭代式。

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Experimental results under the same train and test data show that this network structure can achieve thirty percent average relative improvement in performance than classical Gaussian mixture model.

通过与传统的混合高斯模型（GMM）的实验类比，该贝叶斯网络模型能够在同样的训练和测试数据情况下识别率平均相对提高30%。

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