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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,...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2703573/ https://www.ncbi.nlm.nih.gov/pubmed/19564687 http://dx.doi.org/10.1107/S0907444909012049 |