An efficient preconditioner for stochastic gradient descent optimization of image registration

IEEE transactions on medical imaging, Volume 38, Issue 10, 2019, Pages 1-1.

Cited by: 2|Views7
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Abstract:

Stochastic gradient descent (SGD) is commonly used to solve (parametric) image registration problems. In case of badly scaled problems, SGD however only exhibits sublinear convergence properties. In this paper we propose an efficient preconditioner estimation method to improve the convergence rate of SGD. Based on the observed distributio...More

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