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We can establish the EGM system for face detection, independent of facial sizes of the input.
Table 1 presents sizes of the input data for the considered problem instance.
The results also showed the efficiency of the multi-GPU version, even for large sizes of the input data.
Note that, the sizes of the input symbol vector of CIA and OFDM and L and N, respectively, do not coincide.
At the high level, GPU-based parallel calculation is a correction of sizes of the input and output texture and of index elements.
It was discovered that increasing layer size in general improved the performance of the animat, provided that the sizes of the input array and the processing arrays correspond.
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Conversely, exponential time is some number raised to the size of the input.
What Fortnow calls "P" stands for polynomial time, meaning the size of the input raised to a fixed number like two or three.
The size of the input image is N1 × N2.
n and m are the size of the input feature and the target vectors, respectively.
We found that the fragment size of the input DNA also affected the performance of TTAS.
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