We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
We present a family of methods for speeding up distributed locks by exploiting the uneven distribution of both temporal and spatial locality of access behaviour of many applicatio...
Humans tend to use high-level semantic concepts when querying and browsing multimedia databases; there is thus, a need for systems that extract these concepts and make available a...
The purpose of the air distribution system in a fluidised bed combustor is to provide a reasonably uniform spread of combustion air over the entire horizontal cross-sectional area...
D. R. Garwood, J. Ward, D. R. Bowen, M. Fisher, D....
We present our hybrid system for the PAN challenge at CLEF 2010. Our system performs plagiarism detection for translated and non-translated externally as well as intrinsically plag...
Markus Muhr, Roman Kern, Mario Zechner, Michael Gr...