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3D reconstruction for CAD modeling is usually performed with segmentation, which is a process where digital images are being partitioned into multiple segments to determine the areas of specific anatomical part [ 28].
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An I.B.M. mainframe can, in effect, be "partitioned" into multiple servers that run the Linux operating system.
The original computation is partitioned into multiple small tasks based on either raypath-level or source-point-level granularity.
This paper presents a method to perform efficient and automated Overset Grid Assembly (OGA) on a system of overlapping unstructured meshes in a parallel computing environment where all meshes are partitioned into multiple mesh-blocks and processed on multiple cores.
To combat for the low bandwidth problem, we employ the multi-resolution transmission and browsing mechanism for web documents, in which a web document is partitioned into multiple units, to enable a mobile client to explore the more content-bearing portion earlier.
The input data is partitioned into multiple blocks so that the data can be analyzed in parallel.
In the upper layer, the whole data space is partitioned into multiple subspaces according to the Octree structure.
The whole area is partitioned into multiple zones (Z m,m=1,2,⋯,ω), which satisfies ∪ Z m = Ω and ∩ Z m = ∅.
Then, the image is partitioned into multiple sectors comprising nine (= r 1 + r 2 + r 3) pixels each.
If (mathcal {L}) has enough data items it is partitioned into multiple pairs of non-overlapping sublists.
The entire set of subcarriers is partitioned into multiple subgroups; each co-existing system uses only one of the subgroups not used by others.
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