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It mostly increases the window size by comparing median value with extreme values of image.
As m increases, the window size will increase, and thus the collision probability will reduce.
This paper proposes an adaptive method which increases the window size according to the amounts of impulsive noise.
Finally, this paper proposes an adaptive filter which increases the window size according to the amounts of impulsive noise candidates in a region.
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The scans may also increase the window of time doctors have to administer them.
However, by increasing the window size, the MLP accuracy decreases.
Thus, increasing the window size increases the input size of the algorithms, which improves the ERM's prediction accuracies.
Therefore, increasing the window size does not necessarily affect the accuracy of the SRM prediction model.
When increasing the window size, the NMI drops, which is expected since more data are compared.
As a result, the sender can send more packets by increasing the window size.
As in Fig. 5, increasing the window width systematically improved classifier accuracy.
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