—Perimeter distinction in a wireless network is the ability to distinguish locations belonging to different perimeters. It is complementary to existing localization techniques. A...
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
In this paper, we propose a method for directly rendering point sets which only have positional information by using recent graphics processors (GPUs). Almost all the algorithms in...
The basis of much of the intelligence on the Web is the hyperlink structure which represents an organising principle based on the human facility to be able to discriminate between...
Inspired by conversational visualization tools and the increasing enactment of relationships in social media, we examine how people reflect on friendships and how social data and ...