Given a set of objects and a query q, a point p is
called the reverse k nearest neighbor (RkNN) of q if q is one of
the k closest objects of p. In this paper, we introduce the c...
Muhammad Aamir Cheema, Xuemin Lin, Wenjie Zhang, Y...
Abstract—Compressive sampling (CS) has emerged as significant signal processing framework to acquire and reconstruct sparse signals at rates significantly below the Nyquist rate...
—This paper presents the system level performance evaluation for energy-detection based cooperative spectrum sensing in cognitive radio networks. Three performance criteria are q...
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
Driven by the success of the Linked Open Data initiative today’s Semantic Web is best characterized as a Web of interlinked datasets. Hand in hand with this structure new challen...
Andreas Schwarte, Peter Haase, Katja Hose, Ralf Sc...