On-line boosting is a recent advancement in the field of machine learning that has opened a new spectrum of possibilities in many diverse fields. With respect to a static strong...
Ingrid Visentini, Lauro Snidaro, Gian Luca Foresti
A common trait of background subtraction algorithms is that they have learning rates, thresholds, and initial values that are hand-tuned for a scenario in order to produce the des...
We propose an approach to categorize real-world natural scenes based on a semantic typicality measure. The proposed typicality measure allows to grade the similarity of an image wi...
Biomedical systems involve complex interactions between diverse components. Problem solving in such systems requires insight, i.e. the capability to make non-obvious connections. I...
Yang Cai 0002, Ingo Snel, B. Suman Bharathi, Cleme...
Abstract— This paper presents the architecture of a passive monitoring system installed within the Sprint IP backbone network. This system differs from other packet monitoring sy...
Chuck Fraleigh, Christophe Diot, Bryan Lyles, Sue ...