Abstract: This letter aims to enhance the use of the Frank-Wolfe (FW) algorithm for training deep neural networks. Similar to any gradient-based optimization algorithm, FW suffers from high ...
Abstract: In order to address the challenges of unknown initial positions and accumulated long-distance positioning errors in pedestrian dead reckoning (PDR), as well as significant ranging errors ...
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