This paper presents an algorithm for computing the distance between a point and a convex cone in n-dimensional space. The convex cone is specified by the set of all nonnegative com...
Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
This paper tells the story of how the team managed to speed up delivery whilst raising quality at the same time. conject used to release complete modules of their Internet platfor...
This paper introduces a fast continuous collision detection technique for polyhedral rigid bodies. As opposed to most collision detection techniques, the computation of the first ...
—In this paper, we address the problem of answering continuous route planning queries over a road network, in the presence of updates to the delay (cost) estimates of links. A si...
Nirmesh Malviya, Samuel Madden, Arnab Bhattacharya