The Asynchronous Hidden Markov Model (AHMM) models the joint likelihood of two observation sequences, even if the streams are not synchronised. We explain this concept and how the...
Marc Al-Hames, Claus Lenz, Stephan Reiter, Joachim...
We present an integrated approach for supporting in-network sensor data processing in dynamic and heterogeneous sensor networks. The concept relies on data stream processing techni...
Protocol Boosters are functional elements, inserted anddeleted fromnetwork protocol stacks on an as-neededbasis. The Protocol Booster design methodology attempts to improve end-to-...
In this paper, we study the incremental update of Frequent Closed Itemsets (FCIs) over a sliding window in a high-speed data stream. We propose the notion of semi-FCIs, which is to...
Motion estimation is a temporal image compression technique, where an n x n block of pixels in the current frame of a video sequence is represented by a motion vector with respect...