Abstract. Nowadays, object-oriented meta-languages such as MOF (MetaObject Facility) are increasingly used to specify domain-specific languages in the model-driven engineering comm...
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Bayesian statistical theory is a convenient way of taking a priori information into consideration when inference is made from images. In Bayesian image detection, the a priori dist...
ation Oriented Action (CO action) is a modelling abstraction for representing collaborative behaviour between objects at different phases of the software development. In this pape...
This paper describes the results of a study where the impact of Object-Oriented design on software quality characteristics is experimentally evaluated. A suite of metrics for OO d...