The different approaches of emerging workflow modeling languages are manifold. Today, there exist many notations for workflow modeling with various specializations on different do...
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...
Abstract. We present the Operator Language (OL), a framework to automatically generate fast numerical kernels. OL provides the structure to extend the program generation system Spi...
: Natural Language is not appropriate for reference models because it risks being an in-complete, unstructured and inconsistent form of representation. This paper presents insights...
In this paper, with a belief that a language model that embraces a larger context provides better prediction ability, we present two extensions to standard n-gram language models ...