Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
The Semantic Web is an endeavour aiming at enhancing Web data with meta-data and data processing, as well as processing methods specifying the “meaning” of such data and allowi...
Many different parallel programming models, including lightweight processes that communicate with shared memory and heavyweight processes that communicate with messages, have been...
Michael L. Scott, Thomas J. LeBlanc, Brian D. Mars...
— An enterprise architecture is intended to be a comprehensive blueprint describing the key components and relationships for an enterprise from strategies to business processes t...