In this paper, we investigate stability-based methods for cluster model selection, in particular to select the number K of clusters. The scenario under consideration is that clust...
Boosting algorithms build highly accurate prediction mechanisms from a collection of lowaccuracy predictors. To do so, they employ the notion of weak-learnability. The starting po...
This paper describes an ethnographic study conducted to explore the possibilities for future design and development of technological support for trauma teams. We videotaped 10 tra...
Aleksandra Sarcevic, Ivan Marsic, Michael E. Lesk,...
Exception handling mechanisms are intended to support the development of robust software. However, the implementation of such mechanisms with aspectoriented (AO) programming might ...
Roberta Coelho, Awais Rashid, Alessandro Garcia, F...
In this paper, we introduce a new system for profilebased face recognition. The specific scenario involves a driver entering a gated area and using his/her sideview image (the dri...
Ioannis A. Kakadiaris, H. Abdelmunim, W. Yang, The...