This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...
Abstract— The need for efficient monitoring of spatiotemporal dynamics in large environmental surveillance applications motivates the use of robotic sensors to achieve sufficie...
Amarjeet Singh 0003, Fabio Ramos, Hugh D. Whyte, W...
During software evolution, several different facets of the system need to be related to one another at multiple levbstraction. Current software evolution tools have limited capabi...
Humans effortlessly classify and recognize complex patterns even if their attributes are imprecise and often inconsistent. It is not clear how the brain processes uncertain visual ...
An approach to system verification is described in which design artefacts produced during forward engineering are automatically compared to corresponding artefacts produced during...
David J. A. Cooper, Benjamin Khoo, Brian R. von Ko...