Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
Optimally partitioning application and filesystem functionality within a cluster of clients and servers is a difficult problem due to dynamic variations in application behavior, r...
Khalil Amiri, David Petrou, Gregory R. Ganger, Gar...
This paper proposes a clustered exemplar-based model for performing viewpoint invariant tracking of the 3D motion of a human subject from a single camera. Each exemplar is associa...
Eng-Jon Ong, Antonio S. Micilotta, Richard Bowden,...
Continuing improvements in CPU and GPU performances as well as increasing multi-core processor and cluster-based parallelism demand for flexible and scalable parallel rendering sol...
Proper information visualization has always been viewed as an important tool for research. Traditionally, however, it was regarded as only a tool, with information content and vis...
Igor Rojdestvenski, David Modjeska, Fredrik Petter...