A system for automatically classifying the trajectory of a moving object in a scene as usual or suspicious is presented. The system uses an unsupervised neural network (Self Organi...
Kofi Appiah, Andrew Hunter, Tino Kluge, Philip Aik...
With the relentless scaling of semiconductor technology, the lifetime reliability of embedded multiprocessor platforms has become one of the major concerns for the industry. If th...
We propose a principled framework for recursively segmenting deformable objects across a sequence of frames. We demonstrate the usefulness of this method on left ventricular segmen...
We argue that certain theoretical commitments that underpin much existing Interorganisational Information Systems (IOIS) research at small scales become untenable when IOIS are st...
Cooperative multiagent probabilistic inference can be applied in areas such as building surveillance and complex system diagnosis to reason about the states of the distributed unc...