Viviane Clay presents the first work on evidence-based learning and voting mechanisms for object recognition, detailing the integration of sensor inputs and pose transformations to refine hypotheses and improve inference. This video is archived as it has been superseded by this video - https://youtu.be/bkwY4ru1xCg, but still worth a watch!