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...
This paper argues that multiagent learning is a potential “killer application” for generative and developmental systems (GDS) because key challenges in learning to coordinate ...
Workflow technology has reached a reasonable degree of maturity, with a number of both research prototypes and commercial systems available. However, methodological issues have rec...
We present two methods using mixtures of linear subspaces for face detection in gray level images. One method uses a mixture of factor analyzers to concurrently perform clustering...
Ming-Hsuan Yang, Narendra Ahuja, David J. Kriegman
: In modern organisations the monolithic information systems of the past are being gradually replaced by networked systems, enabling distributed computing often based on multi-agen...