Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
This paper presents parallel algorithms for priority queue operations on a p-processor EREWPRAM. The algorithms are based on a new data structure, the Min-path Heap (MH), which is...
Mobile learning has a lot of potential for supporting learning in situations such as in a museum, at a tourist sight or when exploring biological phenomena at a riverside. There l...
The World Wide Web is becoming increasingly important in the provision of education, as recognised by several high profile UK government reports. Improved tools for developing We...
In order to effectively validate the performance of software systems throughout their development cycle it is necessary to continuously build performance models from software mod...