Ideally computer pattern recognition systems should be insensitive to scaling, translation, distortion and rotation. Many neural network models have been proposed to address this ...
- In this paper we consider the synergy between two areas of IS literature: that concerned with the evaluation of information systems and that concerned with explaining the phenome...
Paul Beynon-Davies, Ian Owens, Michael Lloyd-Willi...
We propose an approach to find and describe objects within broad domains. We introduce a new dataset that provides annotation for sharing models of appearance and correlation acr...
Model-driven engineering proposes to develop software systems by first creating an executable model of the system design and then transforming this model into an implementation. T...
Thomas Weigert, Frank Weil, Aswin van den Berg, Pa...
A novel method for the robust identification of interpretable fuzzy models, based on the criterion that identification errors are least sensitive to data uncertainties and modelli...