Abstract--We investigate a new approach to uplink communications in wideband outdoor cellular systems that can take advantage of multiple antennas at the base station in a scalable...
Interference in neural networks occurs when learning in one area of the input space causes unlearning in another area. Networks that are less susceptible to interference are refer...
— In this paper, we present a method for extracting consistent foreground regions when multiple views of a scene are available. We propose a framework that automatically identiï¬...
Hough transform based object detectors learn a mapping from the image domain to a Hough voting space. Within this space, object hypotheses are formed by local maxima. The votes con...
ing model abstracts over various types of positioning systems and incorporates the capture of uncertainty, serving as a foundation on which developers can apply sensor-fusion techn...
Graeme Stevenson, Juan Ye, Simon Dobson, Paddy Nix...