Abstract--The automation of policy refinement, whilst promising great benefits for policy-based management, has hitherto received relatively little treatment in the literature, wit...
Robert Craven, Jorge Lobo, Emil C. Lupu, Alessandr...
We study the semantics and refinement of mobile objects, considering an extension of core UML state machines by primitives that designate the location of objects and their moves wi...
Policy refinement is meant to derive lower-level policies from higher-level ones so that these more specific policies are better suited for use in different execution environments...
Javier Rubio-Loyola, Joan Serrat, Marinos Charalam...
We propose human action detection based on a successive convex matching scheme. Human actions are represented as sequences of postures and specific actions are detected in video b...
We introduce flexible algorithms that can automatically learn mappings from images to actions by interacting with their environment. They work by introducing an image classifier i...