Abstract—Compressive sensing is a new signal acquisition technology with the potential to reduce the number of measurements required to acquire signals that are sparse or compres...
Abstract— The ability to prevent risks as well as to appropriately counteract occurring threats has increasingly become a crucial success factor. Traditional business process man...
Gernot Goluch, Andreas Ekelhart, Stefan Fenz, Stef...
This paper proposes a new approach to describe the salient contours in cluttered scenes. No need to do the preprocessing, such as edge detection, we directly use a set of random s...
Recent years have witnessed the emergence and rapid growth of distributed service infrastructures such as mobile ad hoc networks, P2P, PlanetLab and Grids. In such distributed inf...
Statistical learning methods are commonly applied in content-based video and image retrieval. Such methods require a large number of examples which are usually obtained through a ...
Timo Volkmer, James A. Thom, Seyed M. M. Tahaghogh...