Metric learning algorithms can provide useful distance functions for a variety of domains, and recent work has shown good accuracy for problems where the learner can access all di...
Prateek Jain, Brian Kulis, Inderjit S. Dhillon, Kr...
In this paper we propose a new device and illumination invariant image representation based on an existing greyscale image enhancement technique: histogram equalisation. Our metho...
Graham D. Finlayson, Steven D. Hordley, Gerald Sch...
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
Abstract. STP is a decision procedure for the satisfiability of quantifier-free formulas in the theory of bit-vectors and arrays that has been optimized for large problems encoun...
This paper describes the automatic creation of simple cinematic scenes and events that use film language (FL) as the basis for the creation of a visual story, aiming to improve it...