Abstract—We are interested in the problem of multiagent systems development for risk detecting and emergency response in an uncertain and partially perceived environment. The eva...
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
To deal with the increasing complexity of embedded real-time systems the model-driven development approach has proven to be beneficial. The reduction of complexity achieved by the ...
This paper develops an error bound for narrow bandwidth Gabor filters synthesized using multiple stages. It is shown that the error introduced by approximating narrow bandwidth Ga...
Sign language recognition constitutes a challenging field of research in computer vision. Common problems like overlap, ambiguities, and minimal pairs occur frequently and require...