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Exact(25)
Importantly, our approach does not require any priori knowledge, which makes our method more practical in medical decision making.
This makes our method more efficient and faster.
This makes our method of great interest as compared with traditional time-consuming Monte Carlo simulations.
The multilevel matching strategy makes our method more efficient by removing the redundant computation in the matching procedure.
The multilevel matching strategy reduces the computation cost in the matching procedure and makes our method more efficient.
This makes our method well suited for reverse engineering products made of leather, bent cardboard or metal sheets.
Similar(35)
This would make our method likely overestimate the actual number of GSR events.
Further, to make our method be implemented easily in CAD/CAM systems, a specific implementation process is also briefly presented.
The building cube method is adopted to make our method suitable for massive parallelization systems, which can reduce the calculation and turnaround times immensely.
More importantly, expensive field surveys can be avoided for sample labeling, making our method suitable for practical large-scale SAR image understanding.
In this paper, we use a network to mimic this process, which has an inherent attribute to make our method get better performance.
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