Background: Broad-based collaborations are becoming increasingly common among disease researchers. For example, the Global HIV Enterprise has united cross-disciplinary consortia t...
Elizabeth K. Nelson, Britt Piehler, Josh Eckels, A...
This paper presents a purely image-based approach to fusing foreground silhouette information from multiple arbitrary views. Our approach does not require 3D constructs like camer...
Abstract— Humanoid robotics and SLAM (Simultaneous Localisation and Mapping) are certainly two of the most significant themes of the current worldwide robotics research effort, ...
Olivier Stasse, Andrew J. Davison, Ramzi Sellaouti...
Abstract. Wireless sensor networks can be very useful in applications that require the detection of crucial events, in physical environments subjected to critical conditions, and t...
Ioannis Chatzigiannakis, Georgios Mylonas, Sotiris...
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...