This is a 3D visuALization of how the Expectation Maximization algorithm learns a Gaussian Mixture Model for 3-dimensional data.
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 basis adapts to the data, the reconstruction resolutio...
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