In this paper we study a new problem in temporal pattern mining: discovering frequent arrangements of temporal intervals. We assume that the database consists of sequences of even...
Panagiotis Papapetrou, George Kollios, Stan Sclaro...
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...
Random numbers are extensively used on the GPU. As more computation is ported to the GPU, it can no longer be treated as rendering hardware alone. Random number generators (RNG) a...
Abstract. Data storage systems are being called on to manage continuous media data types, such as digital audio and video. There is a demand by applications for \constrained-latenc...
Modern deep packet inspection systems use regular expressions to define various patterns of interest in network data streams. Deterministic Finite Automata (DFA) are commonly used...