We investigate classification of non-linguistic vocalisations with a novel audiovisual approach and Long Short-Term Memory (LSTM) Recurrent Neural Networks as highly successful d...
This paper proposes novel methods for visualizing specifically the large power-law graphs that arise in sociology and the sciences. In such cases a large portion of edges can be sh...
Yuntao Jia, Jared Hoberock, Michael Garland, John ...
Abstract. Dependable performance measurement is a common requirement for all on-line services. The ongoing tendency to outsource not only infrastructure, but also software parts to...
Running Data Grid applications such as High Energy Nuclear Physics (HENP) and weather modelling experiments involves working with huge data sets possibly of hundreds of Terabytes ...
This article develops a theoretical framework of distributed representations to explore the representational properties in group problem solving. The basic principle of distribute...