Similarity search and data mining often rely on distance or similarity functions in order to provide meaningful results and semantically meaningful patterns. However, standard dist...
Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Mat...
Aspect-oriented programming (AOP) fosters the coding of tangled concerns in separated units that are then woven together in the executable system. Unfortunately, the oblivious nat...
Aspect-oriented programming (AOP) eases the development of profilers, debuggers, and reverse engineering tools. Such tools frequently rely on calling context information. However,...
E-science experiments typically involve many distributed services maintained by different organisations. After an experiment has been executed, it is useful for a scientist to ver...
Sylvia C. Wong, Simon Miles, Weijian Fang, Paul T....
We develop a new component analysis framework, the Noisy-Or Component Analyzer (NOCA), that targets high-dimensional binary data. NOCA is a probabilistic latent variable model tha...