We propose in this paper a heuristic for mapping a set of interacting tasks of a parallel application onto a heterogeneous computing platform such as a computational grid. Our nov...
—This paper describes a unified data model that represents multimedia, timeline, and simulation data utilizing a single set of related data modeling constructs. A uniform model f...
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
Abstract. This paper deals, for the first time, with an analysis of localization capabilities of weakly supervised categorization systems. Most existing categorization approaches ...
Harnessing the potential of today’s ever growing and dynamic geospatial data requires the development of novel visual analysis interfaces, tools and technologies. In this paper,...
Luciano Nocera, Arjun Rihan, Songhua Xing, Ali Kho...