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Deep learning image reconstruction optimizes coronary artery calcium quantification. [PDF]
Zhou T +7 more
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Investigation of iterative deconvolution in <sup>177</sup>Lu-SPECT imaging for lesion dosimetry. [PDF]
Ells Z +15 more
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Recursive Batch Smoother with Multiple Linearization for One Class of Nonlinear Estimation Problems: Application for Multisensor Navigation Data Fusion. [PDF]
Stepanov O +3 more
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Iterative reconstruction algorithms
Computers in Biology and Medicine, 1976Abstract In this paper a survey of recent results on iterative reconstruction algorithms is given. These results, many of which have not yet appeared elsewhere, are applicable to a very general formulation of the reconstruction problem based on the series expansion approach.
G T, Herman, A, Lent
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2010
The present chapter surveys computational algorithms for solving the independent component analysis (ICA) problem. Most of these algorithms rely on gradient or Newton iterations for contrast function maximization, and can work either in batch or adaptive processing mode.
Zarzoso, Vicente, Aapo, Hyvärinen
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The present chapter surveys computational algorithms for solving the independent component analysis (ICA) problem. Most of these algorithms rely on gradient or Newton iterations for contrast function maximization, and can work either in batch or adaptive processing mode.
Zarzoso, Vicente, Aapo, Hyvärinen
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International Transactions in Operational Research, 2009
AbstractThe recently presented sequential unconstrained minimization algorithm, SUMMA, is extended to provide a framework for the derivation of block‐iterative, or partial‐gradient, optimization methods. This block‐iterative SUMMA (BI‐SUMMA) includes, and is motivated by, block‐iterative versions of the algebraic reconstruction technique (ART) and its ...
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AbstractThe recently presented sequential unconstrained minimization algorithm, SUMMA, is extended to provide a framework for the derivation of block‐iterative, or partial‐gradient, optimization methods. This block‐iterative SUMMA (BI‐SUMMA) includes, and is motivated by, block‐iterative versions of the algebraic reconstruction technique (ART) and its ...
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Iterative Scheduling Algorithms
IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications, 2007The input-queued switch architecture is widely used in Internet routers due to its ability to run at very high line speeds. A central problem in designing an input-queued switch is the scheduling algorithm that decides which packets to transfer from ingress ports to egress ports in a given timeslot. It is desirable that such algorithms be iterative (so
M. Bayati +3 more
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Pattern Recognition Letters, 2011
Recent years have witnessed a growing interest in the information bottleneck theory. Among the relevant algorithms in the extant literature, the sequential Information Bottleneck (sIB) algorithm is recognized for its balance between accuracy and complexity.
Huaqiang Yuan, Yangdong Ye
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Recent years have witnessed a growing interest in the information bottleneck theory. Among the relevant algorithms in the extant literature, the sequential Information Bottleneck (sIB) algorithm is recognized for its balance between accuracy and complexity.
Huaqiang Yuan, Yangdong Ye
openaire +1 more source

