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- W2024372918 abstract "We consider regularization methods of Kaczmarz type in connection with the expectation-maximization (EM) algorithm for solving ill-posed equations. For noisy data, our methods are stabilized extensions of the well established ordered-subsets expectation-maximization iteration (OS-EM). We show monotonicity properties of the methods and present a numerical experiment which indicates that the extended OS-EM methods we propose are much faster than the standard EM algorithm." @default.
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- W2024372918 date "2009-06-12" @default.
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- W2024372918 title "On regularization methods of EM-Kaczmarz type" @default.
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- W2024372918 doi "https://doi.org/10.1088/0266-5611/25/7/075008" @default.
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