This perspective paper explores principles of unsupervised learning and how they relate to face recognition. Dependency coding and information maximization appear to be central pr...
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Studies analyzing sensory cortical processing or trying to decode brain activity often rely on a combination of different electrophysiological signals, such as local field potentia...
Andrei Belitski, Stefano Panzeri, Cesare Magri, Ni...
Abstract. To share information and retain control (share-but-protect) is a classic cyber security problem for which effective solutions continue to be elusive. Where the patterns o...
Ravi S. Sandhu, Ram Krishnan, Jianwei Niu, William...
Context-aware service platforms use context information to customize their services to the current users’ situation. Due to technical limitations in sensors and context reasonin...
Ricardo Neisse, Maarten Wegdam, Marten van Sindere...