Agent-based simulations are an increasingly popular means of exploring and understanding complex social systems. In order to be useful, these simulations must capture a range of a...
David Scerri, Alexis Drogoul, Sarah L. Hickmott, L...
The rapid expansion of the Internet has resulted not only in the ever-growing amount of data stored therein, but also in the burgeoning complexity of the concepts and phenomena per...
Geovisualization has traditionally played a critical role in analysis and decision-making, but recent developments have also brought a revolution in widespread online access to ge...
David C. Wilson, Heather Richter Lipford, Erin Car...
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
Background: Development of high-throughput methods for measuring DNA interactions of transcription factors together with computational advances in short motif inference algorithms...