We introduce a foundational language for modelling applications over global computers whose interconnection structure can be explicitly manipulated. Together with process distribut...
Abstract. Dynamic Bayesian networks (DBNs) extend Bayesian networks from static domains to dynamic domains. The only known generic method for exact inference in DBNs is based on dy...
We present a new fast algorithm for background modeling and subtraction. Sample background values at each pixel are quantized into codebooks which represent a compressed form of b...
Kyungnam Kim, Thanarat H. Chalidabhongse, David Ha...
Learning classifiers has been studied extensively the last two decades. Recently, various approaches based on patterns (e.g., association rules) that hold within labeled data hav...
We describe the language architecture of Brie, a framework for authoring 3D spaces and user interfaces. Brie is designed to take advantage of the unique social characteristics of ...