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最大的高斯混合模型似然估计的期望最大化算法-Maximum likelihood estimation of Gaussian mixture model by expectation maximization algorithm
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The k-means algorithm is an algorithm to cluster n objects based on attributes into k partitions, k < n. It is similar to the expectation-maximization algorithm for mixtures of Gaussians in that they both attempt to find the centers of natural clu
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expectation maximization algorithm
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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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Expectation Maximization algorithm for Gaussian Mixture Model Training
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Expectation Maximization based Matching Pursuit (EMMP) algorithm
参考文献：SAR image reconstruction by expectation maximization based matching pursuit
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In this paper, we present an approach toward pedestrian detection and tracking from infrared imagery using joint shape and appearance
cues. A layered representation is first introduced and a generalized expectation-maximization (EM) algorithm is dev
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