Linear matrix function is a new mathematical framework outlining an invertible linear transformation matrix that maps points from one abstract geometric space onto another, while preserving the ...
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 ...