This article describes the challenges posed by optical music recognition – a topic in computer science that aims to convert scanned pages of music into an on-line format. First, the problem is described; then a generalised framework for software is presented that emphasises key stages that must be solved: staff line identification, musical object location, musical feature classification, and mu...

The two main goals in model selection are firstly introducing an approach to test homogeneity of several rival models and secondly selecting a set of reasonable models or estimating the best rival model to the true one. In this paper we extend Vuong's method for several models to cluster them. Based on the working paper of Katayama $(2008)$, we propose an approach to test whether rival models h...

The main goal of this paper is to provide an overview of a variety of methods for synthesis of eroded terrain for use in computer games, VR worlds and the like. Traditionally, such software uses either predefined terrains or runtime generated data based on simple fractal noise techniques. In recent years, the advances in processing power of average home computers have made it possible to simula...

This paper describes neural network algorithms and software that scale up to massively parallel computers. The neuron model used is the best available at this time, the Hodgkin-Huxley equations. Most massively parallel simulations use very simplified neuron models, which cannot accurately simulate biological neurons and the wide variety of neuron types. Using C++ and MPI we can scale these netw...

This project set out to investigate if the technique of mind mapping could be used to improve the study and planning skills of second year Digital Media students from the School of Art and Design (SAD) and first year students on the History of Computing module from the School of Computing and Information Technology (SCIT). Both sets of students were shown how mind mapping could be used to plan ...