Develops functional multi-target detection theory and recovery algorithms via bispectrum inversion with non-asymptotic guarantees for compactly supported signals under continuous translations and correlated Gaussian noise.
A stochastic approximate expectation- maximization for structure determination directly from cryo-EM micrographs
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Template matching on pure noise yields asymptotic convergence of maximum-likelihood class means and 3D reconstructions to deterministic noise-dependent transforms of the user templates, producing structure-from-noise artifacts.
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Functional Multi-Target Detection via Bispectrum Inversion
Develops functional multi-target detection theory and recovery algorithms via bispectrum inversion with non-asymptotic guarantees for compactly supported signals under continuous translations and correlated Gaussian noise.
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Structure from Noise: Confirmation Bias in Particle Picking in Structural Biology
Template matching on pure noise yields asymptotic convergence of maximum-likelihood class means and 3D reconstructions to deterministic noise-dependent transforms of the user templates, producing structure-from-noise artifacts.