In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...
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For object recognition, the current state-of-the-art is based on exhaustive search. However, to ...
Fitts' law, Steering law and Law of crossing, collectively known as the laws of action, model the speed-accuracy tradeoffs in common HCI tasks. These laws impose a certain sp...
The extraction of optimal features, in a classification sense, is still quite challenging in the context of large-scale classification problems (such as visual recognition), inv...
This paper presents a new criterion for viewpoint selection in the context of active Bayesian object recognition and pose estimation. Recognition is performed by probabilistically...