Stochastic optimization with randomized smoothing for image ...
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This technique consists of adding random noise to the transformation parameters during the stochastic optimization of the registration parameters. It is shown ...
Jul 6, 2016 · Image registration is typically formulated as an optimization process, which aims to find the optimal transformation parameters of a given ...
Oct 13, 2016 · Abstract. Image registration is typically formulated as an optimization process, which aims to find the optimal transformation.
The approach is suitable for both rigid and nonrigid registrations. Experiments on synthetic images, cell images, public CT lung data, and public MR brain data ...
The approach is suitable for both rigid and nonrigid registrations. Experiments on synthetic images, cell images, public CT lung data, and public MR brain data ...
We analyze convergence rates of stochastic optimization algorithms for nonsmooth convex optimization problems. By combining randomized smoothing techniques ...
To suppress local minima, we smooth the cost function of image registration with a randomized smoothing (RS) technique.•A convolution-based smoothing ...
Mar 22, 2011 · Abstract:We analyze convergence rates of stochastic optimization procedures for non-smooth convex optimization problems.
Missing: image registration.
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We analyze convergence rates of stochastic optimization procedures for non-smooth convex optimization problems. By combining randomized smoothing techniques ...
Missing: registration. | Show results with:registration.
Abstract. We analyze convergence rates of stochastic optimization algorithms for nonsmooth convex optimization problems. By combining randomized smoothing ...
Missing: image | Show results with:image