Despite the ability of current GPU processors to treat heavy parallel computation tasks, its use for solving medical image segmentation problems is still not fully exploited and re...
Abstract--Many heterogeneous embedded systems, for example industrial automation and automotive applications, require hard-real time constraints to be exhaustively verified - which...
Reduced sizes of music files due to compression technologies has allowed for piracy to become a rampant problem on the Internet even in the absence of significant bandwidth. Howev...
Abstract. We study the extension of context ontologies towards enhanced qualitative spatio-temporal representations and reasoning. Our goal is to model and extract events that are ...
Discovering rare categories and classifying new instances of them is
an important data mining issue in many fields, but fully supervised
learning of a rare class classifier is pr...