Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
Museums increasingly deploy new technologies to enhance visitors' experience of their exhibitions. They primarily rely on touch-screen computer systems, PDAs and digital audi...
Dirk vom Lehn, Jon Hindmarsh, Paul Luff, Christian...
In this paper, we describe the design of eyeView, a video conferencing system that uses participant looking behavior to determine the size of online video conferencing windows. Th...
Tracy Jenkin, Jesse McGeachie, David Fono, Roel Ve...
Multi-threaded commercial workloads implement many important internet services. Consequently, these workloads are increasingly used to evaluate the performance of uniprocessor and...