Abstract: Aiming at the shortcomings of traditional convolutional neural network methods in capturing long-range spatial dependencies in fine-grained image recognition due to the restricted sensory ...
Abstract: The recursive least-squares (RLS) algorithm is very popular for adaptive filtering applications, mainly due to its fast convergence rate. The regularized version of this algorithm owns ...
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