We present the machine learning framework that we are developing, in order to support explorative search for non-trivial linguistic configurations in low-density languages (langua...
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
: Organizations with large integrated computer-based systems are often faced with the challenge of evolving their mission-critical systems in a manner that maximizes reuse opportun...
We describe a new invariant-based data model for image databases under our approach for shape-based retrieval. The data model relies on contours description of the image shape, an...
The hybrid χ (Chi) formalism is suited to modeling, simulation and verification of hybrid systems. It integrates concepts from dynamics and control theory with concepts from com...
D. A. van Beek, J. E. Rooda, Ramon R. H. Schiffele...