Abstract: A hardware-friendly bisection neural network (BNN) topology is proposed in this work for approximately implementing massive pieces of complex functions in arbitrary on-chip configurations.

National security, unlocked. Each Thursday, host Mary Louise Kelly and a team of NPR correspondents discuss the biggest national security news of the week. With decades of reporting from battlefields ...

Abstract: Due to the high flexibility and remarkable performance, low-rank approximation has been widely studied for color image denoising. However, existing methods usually ignore the cross-channel ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Terms apply to American Express benefits and offers. Visit americanexpress.com to learn more. Any time you tap, swipe or dip a credit or debit card at checkout or enter your card number online, you ...

Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. The application of statistical methods extracts information from ...

Computational models are mathematical models used to numerically study the behaviour of complex systems by means of a computer simulation. A computational model can be used to make predictions of the ...

So many productivity methods ask you to prioritize your daily tasks by considering how much time or effort they'll require, then tackling the resource-heavy ones first. For some people, that's a solid ...

Alexandra Twin has 15+ years of experience as an editor and writer, covering financial news for public and private companies. Vikki Velasquez is a researcher and writer who has managed, coordinated, ...

This notebook focuses on generic matched filtering, exploring the tradeoffs between waveform design parameters and their impact on range resolution and sidelobe performance. Implements the ...

Abstract: Hyperspectral anomaly detection (HAD) aims to distinguish between the background and anomalies in a scene, which has been widely adopted in various ...