Former MTV Networks CEO Tom Freston explains what the closing of legacy MTV channels in the U.K. means for the future of ...

Abstract: We study the problem of identifying a linear time-varying output map from measurements and linear time-varying system states, which are perturbed with Gaussian observation noise and process ...

Use of linear programming models has grown so extensively in recent years that the whole concept for organizing a computer code has undergone a radical change. It no longer is adequate merely to ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...

Presenting an algorithm that solves linear systems with sparse coefficient matrices asymptotically faster than matrix multiplication for any ω > 2. Our algorithm can be viewed as an efficient, ...

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 ...

When we hear Detroit, several phrases come to mind: "The 313," "What Up Doe," "The D" — among others. Detroit has such a rich history, and while the city has struggled in many areas for many years, ...

Measuring the full complex transmission matrix requires having access to the phase of the optical field. While there exist non-interferometric approaches, they usually reduce the resolution, which is ...