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为了提高非结构化道路识别算法的有效性,提出了一种道路分割的新方法,建立了道路区域域和非道路区域混合高斯彩色模型,根据像素隶属于彩色模型的概率进行基于彩色信息道路 -
-A road split in order to improve the effectiveness of unstructured road recognition algorithm is proposed to establish a road regional domain and non-road area Gau
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通过gaussian mixture Model 产生一组点， 通过 Expectation Maximation方法对这些等进行划分。 结果表明，此算法能够很好的确认gaussian mixture model。-Gaussian mixture Model is used to produce a set of points. And through Expecation Maximation Method the points will be classified. The results
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这是一篇详细介绍人脸检测与语音驱动口型的文章，其中使使用了高斯混合模型采取了无监督聚类的方法，希望对你有用。
-This is a detailed introducer face detection and voice-driven lip article, which makes use of a Gaussian mixture model to take unsupervised clustering methods, hope useful for you.
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本混合高斯模型是一种基于opencv的，运用用了系统自带的检测函数，检测效果较好.欢迎切磋!
-Gaussian mixture model is based on the opencv, the use of the system comes with the detection functions, better detection. Welcome to learn!
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基于隐马尔可夫模型和高斯混合模型结合的声音转换方法.pdf-Combination of hidden Markov models and Gaussian mixture model-based voice conversion method. Pdf
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这段代码是在vs2010和opencv2.3.1环境中实现的混合高斯建模，下载的他人代码进行了修改与调试，之前代码是vs06的。版本之间不同，代码就会出很多错，很难调试，这个已被调试好，能跑。-This code is in Gaussian mixture modeling to achieve the vs2010 and opencv2.3.1 environment, download the others to modify the code and debug, before the
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该系统能够识别连续说出的数字串和若干组姓名。建模是针对子词(sub-word, eg. 音
素)，具有一定的可扩充性。当加入一个新名字时，只需修改发音词典和任务语法即可。模
型为连续混合高斯输出，运用语音决策树聚类形成的绑定状态式三音素。-The system is able to recognize continuously spoken digit string and the number of groups name. Modeling is a sub-word (sub-wo
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混合高斯背景建模C++源程序
在进行前景检测前，先对背景进行训练，对图像中每个背景采用一个混合高斯模型进行模拟，每个背景的混合高斯的个数可以自适应。-Before the the mixed Gaussian background the modeling C++ source. During foreground detection, background training, each background image using a Gaussian mixture model simu
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针对视频序列运动目标检测，用vc++实现快速高斯混合建模进行前景背景的分离。-In motion object detection of video sequence, with vc++ realize rapid gaussian mixture model carries on the separation between foreward and background.
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Traditional single particle reconstruction methods use either the Fourier or the
delta function basis to represent the particle density map. We propose a more
flexible algorithm that adaptively chooses the basis based on the data. Because
the b
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使用高斯混合模型（GMM），对声音信号进行识别，包括对特征参数的采集、训练和识别过程-Using the Gaussian mixture model (GMM)to realize the recognition of the sound signal, including the acquisition of the characteristic parameters,the training and the recognition process
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混合高斯模型的背景减除法和相邻帧差法相结合进行目标检测的程序，内附视频-The background of the gaussian mixture model reduction division and adjacent frame differential method for target detection with the program, enclosing video
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基于混合高斯模型的算法，我们可以利用该算法提取前景，检测背景！-Gaussian mixture model-based algorithm, we can take advantage of the the algorithm extracted prospects, detect background!
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高斯混合模型实现视频图像的背景和前景的分离。输入为视频文件或者计算机上的摄像头。-Gaussian mixture model the background and foreground of the video image separation. The input video files or computer camera.
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基于混合高斯背景建模的方法用于检测场景中的运动车辆，采用Visual C++和OpenCV实现，程序有详细注释，并且附带测试视频，希望对大家有帮助。-The movement of vehicles, based on Gaussian mixture background modeling method for detecting the scene to adopt the Visual C++ and OpenCV realization, procedures detailed note
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基于Expectation Maximization算法优化的高斯混合模型在3D图像数据聚类中的应用。-This is a 3D visualization of how the Expectation Maximization algorithm learns a Gaussian Mixture Model for 3-dimensional data.
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高斯混合模型对目标说话人识别的matlab源程序-Gaussian mixture model of the target speaker recognition matlab source
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读入avi,利用混合高斯模型，检测出运动的前景和背景信息。VS2008+opencv2.4.3-Read into avi, Gaussian mixture model to detect the movement of the foreground and background information. VS2008+opencv2.4.3
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基于混合高斯的运动目标提取，附带图像序列，内容讲解详细，适合学习。-Extracted based on Gaussian mixture moving target, with a sequence of images, to explain in detail the contents of, suitable for learning.
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一种高斯混合模型的参数训练方法，主要应用高斯混合模型的参数训练-Parameters of a Gaussian mixture model training method, the main application of the parameters of the Gaussian mixture model training
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