Abstract. This paper presents a method for analogizing high-dimensional spacetime curves, and shows how it can be used to transform a motion sequence into new content and styles ac...
Abstract. We propose and analyze a new vantage point for the learning of mixtures of Gaussians: namely, the PAC-style model of learning probability distributions introduced by Kear...
The implementation of a recently suggested class of structural change tests, which test for parameter instability in general parametric models, in the R language for statistical c...
This work presents a neural model of self-localisation implemented on a simulated mobile robot with a realistic visual input. A population of modelled place cells with overlapping...
Denis Sheynikhovich, Ricardo Chavarriaga, Thomas S...
Transit services are currently facing several challenges in the United States and around the
world. For many reasons, among which the fluctuations in gas prices and the state of t...