This paper addresses agents' intentions as building blocks of imitation learning that abstract local situations of the agent, and proposes a hierarchical hidden Markov model ...
This paper enriches the current studies on interaction with a domain where agents have original properties about the interaction. The agents interact with the external world and t...
This paper presents a model for describing visualisation by considering individual parts of an instance and relating them to each other. The resulting part-relationship structure ...
Viewpoint independent recognition of free-form objects and their segmentation in the presence of clutter and occlusions is a challenging task. We present a novel 3D model-based alg...
The proposed work involves conversion of a given circuit model into a set of constraints and employing constraint solvers to generate tests for it. The method is demonstrated for ...