We propose structured models for image labeling that take into account the dependencies among the image labels explicitly. These models are more expressive than independent label ...
We propose a framework for large scale learning and annotation of structured models. The system interleaves interactive labeling (where the current model is used to semiautomate t...
The Kahn Process Network (KPN) model is a widely used modelof-computation to specify and map streaming applications onto multiprocessor systems-on-chips. In general, KPNs are difï...
—Wireless sensor networks are increasingly being used to improve business processes. The behavior of such a process is usually captured in models while its implementation is typi...
—In this paper, we present a UML metamodel-based approach for creating and executing workflow models. The modeling language is introduced through its abstract syntax, and an eval...