This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
In this paper, we introduce a first-order probabilistic model that combines multiple cues to classify human activities from video data accurately and robustly. Our system works in...
In the line of some earlier work done on belief dynamics, we an abstract model of belief propagation on a graph based on the methodology of the revision theory of truth. A modal la...
We describe an approach for determining potentially visible sets in dynamic architectural models. Our scheme divides the models into cells and portals, computing a conservative es...
Typically, system dynamics-based simulations of business processes are constructed in an ad hoc manner, with a modeler creating low-level components and defining interrelationship...