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Introducing robustness to maximum-likelihood refinement of electron-microsopy data
An expectation-maximization algorithm for maximum-likelihood refinement of electron-microscopy images is presented that is based on fitting mixtures of multivariate t-distributions. The novel algorithm has intrinsic characteristics for providing robustness against atypical observations in the data,...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
International Union of Crystallography
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2703573/ https://ncbi.nlm.nih.gov/pubmed/19564687 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1107/S0907444909012049 |
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