We will describe a visual development system for exploring face space, both in terms of facial types and animated expressions. Imagine an n-dimensional space describing every huma...
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Numerous Grid workflow engines exist, each generally specialized for a single application domain such as protein folding. Although the underlying purpose and functionality of the ...
Sharanya Eswaran, David Del Vecchio, Glenn S. Wass...
Ordering heuristics are a powerful tool in CSP search algorithms. Among the most successful ordering heuristics are heuristics which enforce a fail first strategy by using the mi...
Using traditional semantic data modeling, multi-level modeling can be achieved by representing objects in different abstraction hierarchies, namely classification, aggregation and...