Understanding the mechanism of how neural networks learn features from data is a fundamental problem in machine learning. Our work explicitly connects the mechanism of neural feature learning to a ...
The hierarchical modular functional structure in the human brain has not been adequately depicted by conventional functional magnetic resonance imaging (fMRI) acquisition techniques and traditional ...
Abstract: This work considers the design of fixed-order antiwindup compensators guaranteeing stability and a given level of L2 performance. The main results show how the design of such a compensator ...
Flaunting one of the highest code-module resolutions available in its class, the ID version of the company’s popular Sharpshooter vision sensors reads a wide range of linear bar codes and 2D Data ...
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