The proposed method is related to parametric and geodesic active contours as well as minimal paths, in the context of image segmentation 1 . Our geodesically linked active contour ...
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a personās activities and signiļ¬...
Abstract. This paper presents the design philosophy of activity-based computing (ABC), which addresses mobility and cooperation in human work activities. Furthermore, it presents t...
In this paper we address the problem of pool based active learning, and provide an algorithm, called UPAL, that works by minimizing the unbiased estimator of the risk of a hypothe...
In this paper, a geometric approach for global selflocalization based on a world-model and active stereo vision is introduced. The method uses class speciļ¬c object recognition a...
David Israel Gonzalez-Aguirre, Tamim Asfour, Eduar...