Abstract: Revealing the latent low-dimensional geometric structure of high-dimensional data is a crucial task in unsupervised representation learning. Traditional manifold learning, as a typical ...

Ever since humans began building, they’ve been building up. Throughout the millennia, our constructions have reached higher and higher into the sky, spurred by various motivations: religion, democracy ...

Abstract: In a practical alternating current (ac) machine drive system, a zero-order hold equivalent discrete-time machine model motivates the development of a direct discrete-time current regulator ...

Understanding the preferences of potential users of digital health products is beneficial for digital health policy and planning. Stated preference methods could help elicit individuals’ preferences ...