Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...
Sensor networks will shortly consist of globally deployed sensors providing real-time geo-centric information to users. Particularly, users with mobile devices will issue ad-hoc q...
Mohamed Aly, Anandha Gopalan, Jerry Zhao, Adel M. ...
— The spatio-temporal modelling and forecasting of incidences of crimes have now become a routine part of crime prevention operations. However, obtaining reliable forecasts for c...
Christian Ivaha, Hasan Al-Madfai, Gary Higgs, J. A...
Tracking articulated objects in image sequences remains a challenging problem, particularly in terms of the ability to localize the individual parts of an object given selfocclusi...
Spatio-temporal databases store information about the positions of individual objects over time. In many applications however, such as traffic supervision or mobile communication ...
Dimitris Papadias, Yufei Tao, Panos Kalnis, Jun Zh...