Research in temporal databases has mainly focused on defining temporal data models by extending existing models, and developing access structures for temporal data. Little has bee...
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
Abstract—We are developing a concurrent, agent-based approach to complex systems simulation as part of the CoSMoS project. In such simulations an agent’s behaviour can typicall...
Geographic information retrieval (GIR) is, as a branch of traditional information retrieval, a discipline that tries to enrich data with geographical information to make it suitab...
— Robots are increasingly being used in Computer Integrated Surgery (CIS) systems, yet to our knowledge, there is no open source software that is specifically targeted at this a...