In the Bayesian mixture modeling framework it is possible to infer the necessary number of components to model the data and therefore it is unnecessary to explicitly restrict the n...
Capture, processing, and assimilation of digital media-based information such as video, images, or audio requires a unified framework within which signal processing techniques and...
Rahul Singh, Zhao Li, Pilho Kim, Derik Pack, Rames...
Semantic Business Process Management is a recent and promising research area devoted to extending the results from Semantic Web Services — i.e., the application of ontology-base...
Abstract— In practice, the development of process-aware information systems suffers from a gap between conceptual business process models and executable workflow specifications...
Jan Mendling, Boudewijn F. van Dongen, Wil M. P. v...
Model transformations are frequently applied in business process modeling to bridge between languages on a different abstraction and formality. In this paper, we define a transfor...