Deep neural networks (DNNs) have greatly benefited direction of arrival ...
A deep neural network using rectified linear units represents a continuo...
We show that a new design criterion, i.e., the least squares on subband
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Models recently used in the literature proving residual networks (ResNet...
A large number of Internet of Things (IoT) devices today are powered by
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We study the sparse non-negative least squares (S-NNLS) problem. S-NNLS
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