For many computer vision problems, it is very important to produce the groundtruth data. Manual data labeling is labor-intensive and prone to the human errors, whereas fully autom...
Symbolic AI systems typically have difficulty reasoning about motion in continuous environments, such as determining whether a cornering car will clear a close obstacle. Bimodal s...
an be used to abstract away from the physical reality by describing it as components that exist in discrete states with probabilistically invoked actions that change the state. The...
Duncan Gillies, David Thornley, Chatschik Bisdikia...
We present a framework for utilizing context-awareness for classifying services. We also present a novel RDFbased model for context-aware reasoning in pervasive computing environm...
In the presence of a river flood, operators in charge of control must take decisions based on imperfect and incomplete sources of information (e.g., data provided by a limited numb...