Programmers and users of compute intensive scientific applications often do not want to (or even cannot) code load balancing and fault tolerance into their programs. The PBEAM syst...
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
The CEDARS∗ project within UK academia seeks to develop a demonstrator system to recommend techniques for long-term storage of digital data primarily within the research library...
Active learning strategies can be useful when manual labeling
effort is scarce, as they select the most informative
examples to be annotated first. However, for visual category
...
Sudheendra Vijayanarasimhan (University of Texas a...
This article describes the integration of knowledge based techniques into simulative Virtual Reality (VR) applications. The approach is motivated ltimodal Virtual Construction as a...
Marc Erich Latoschik, Peter Biermann, Ipke Wachsmu...