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Thus, we propose a greedy method to decompose a camera motion trajectory into a hybrid set of slices and fibers to reduce the C value.
Therefore, before applying the non-rigid registration algorithm, a set of slices at the same plane of fixed and moving images are selected.
First of all, we split the volume into N independent sub-volume blocks of approximately equal size, where each node is assigned as a different set of slices orthogonal to the z-axis, which we call a "slab".
Moreover, we suggest a greedy algorithm to decompose a camera motion trajectory into a more compact set of slices and fibers, and together with the efficient convolution computation via fast Fourier transform (FFT), the proposed GAC models concurrently overcome the difficulties of computational cost and memory burden, leading to efficient GAC-based deblurring methods.
Furthermore, a greedy algorithm is proposed to generate a more compact set of slices and fibers from any camera motion trajectory, resulting in hybrid GAC model, a more promising way to concurrently solve the problems of computational inefficiency and memory burden.
As shown in Table 1, the three GAC methods have comparable peak memory cost to each other, while in terms of running time, H-GAC is more efficient than both S-GAC and F-GAC, since the set of slices and fibers decomposed by H-GAC is usually more compact, thus having lower computational complexity.
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The controller is a two-layer architecture composed of a set of slice controllers and a set of card controllers.
Adding a new slice to currently established set of slice instances could cause some problems with satisfying QoS/QoE and isolation level in all slices.
To evaluate the approach, the paper introduces an instance of a search-based slicing problem concerned with locating sets of slices that decompose a program into a set of covering slices that minimize inter-slice overlap.
The volume of transverse tomograms was reoriented, and sets of slices perpendicular to the long axis (short axis view) and of slices parallel to the long axis (vertical long axis view and horizontal long axis view) were created.
To minimize staining and fluorescence variation sets of slices were handled within the same day.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com