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We also compare the detection time by our model and KitNet on the same dataset, as shown in Table 10. After splitting the original dataset into the sparse matrix and the dense matrix, the amount of data is significantly reduced, so the detection time will be less. From Table 10, we can see that using KitNet for detection takes a long time, because it does not divide the datasets, and uses all the features for training. However, the recursive feature addition algorithm of our model also consumes a lot of time, which still needs to be improved.
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IEEE/ICACT20220329 Slide.15
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