Background: Neuroscientists often need to access a wide range of data sets distributed over the Internet. These data sets, however, are typically neither integrated nor interopera...
Hugo Y. K. Lam, Luis N. Marenco, Tim Clark, Yong G...
Abstract. Governments often hold very rich data and whilst much of this information is published and available for re-use by others, it is often trapped by poor data structures, lo...
Harith Alani, David Dupplaw, John Sheridan, Kieron...
Recent work by the ‘CombeChem’ project together with the UK National Crystallography Service (NCS) has integrated the NCS into an e-Science environment. The existing high-thro...
Jeremy G. Frey, Sam Peppe, Mike Surridge, Ken Meac...
Graphs are prevailingly used in many applications to model complex data structures. In this paper, we study the problem of supergraph containment search. To avoid the NP-complete s...
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...