In this paper, we present and evaluate alternative techniques to effect the use of location-independent identiļ¬ers in distributed database systems. Location-independent identiļ¬...
We describe and evaluate a multi-objective optimisation (MOO) algorithm that works within the Probability Collectives (PC) optimisation framework. PC is an alternative approach to ...
In this abstract, we present a rule-based modelling language for constraint programming, called Rules2CP [1], and a library PKML for modelling packing problems. Unlike other modell...
Cascades are a popular framework to speed up object detection systems. Here we focus on the ļ¬rst layers of a category independent object detection cascade in which we sample a l...
The problem of low-rank matrix factorization in the presence of missing data has seen significant attention in recent computer vision research. The approach that dominates the lit...