This paper presents novel methods for classifying images based on knowledge discovered from annotated images using WordNet. The novelty of this work is the automatic class discove...
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
All optical switching has been proposed as a candidate to allow high capacity networking in the future. Currently, Optical Circuit Switching has been widely deployed, although thi...
Jens Buysse, Marc De Leenheer, Chris Develder, Bar...
Abstract. This paper proposes to apply the branch and bound principle from combinatorial optimization to the Dissimilarity Self-Organizing Map (DSOM), a variant of the SOM that can...
This paper analyses the collaborative design of a high-technology product, a neuromagnetometer used in the analysis of the activity of the human cortex. The producer, Neuromag Com...