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混合高斯模型的C++程序，封装成为C++的类，直接调用即可。-gaussian mixture model
train code
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高斯混合模型的详细实现 内有多个.m文件-Gaussian mixture model has a number of detailed implementation. M files
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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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高斯混合模型的源代码。从文件中读取数据，用三个高斯混合模型进行处理-Gaussian mixture model of the source code. Read from the file data, using three Gaussian mixture model for processing
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Expectation Maximization algorithm for Gaussian Mixture Model Training
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GMM算法，利用EM算法求解混合模型中每个模型的参数-Gaussian Mixture Model,GMMalgorith,Use EM algorith
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高斯混合模型GMM的学习资料，包含一个学习笔记和一个简单的C++实现-Gaussian mixture model learning materials, including notes and a simple C++ source code
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gaussian-mixture-models: This tool clusters the input image into n number of colored sections by synthesizing a Gaussian Mixture Model (GMM) using Expectation Maximization (EM).
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guassian mixture model matlab code
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关于高斯混合模型GMM的matlab源代码,不错的源码(About gaussian mixture model of GMM matlab source code, source code)
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A two-stage mechanism of ECG classification using Gaussian
mixture model(An automatic classifier for electrocardiogram (ECG) based cardiac abnormality detection using Gaussian mixture model (GMM) is presented here. In first stage, preprocessing tha
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GMM(Gaussian Mixture Model)，高斯混合模型(或者混合高斯模型)，也可以简写为MOG(Mixture of Gaussian)。(GMM(Gaussian Mixture Model))
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