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To address these problems, in this specific article, we introduce the naive Gabor sites or Gabor-Nets that, for the first time when you look at the literary works, design and learn CNN kernels strictly in the form of Gabor filters, planning to lower the number of involved variables and constrain the answer room and, ergo, improve the activities of CNNs. Particularly, we develop a cutting-edge phase-induced Gabor kernel, which will be trickily made to do the
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