Pervasive computing, the new computing paradigm aiming at providing services anywhere at anytime, poses great challenges on dynamic service composition. Existing service compositi...
—Mobile cooperative sensor networks are increasingly used for surveillance and reconnaissance tasks to support domain picture compilation. However, efficient distributed informat...
Abstract. We present a parameterized approximation scheme for distributed combinatorial optimization problems based on dynamic programming. The algorithm is a utility propagation m...
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
In online handwritten math expression recognition, one-pass dynamic programming can produce highquality symbol graphs in addition to best symbol sequence hypotheses [3], especiall...