Social network analysis became a common technique used to model and quantify the properties of social interactions. In this paper, we propose an integrated framework to explore th...
Abstract. In recent years the problem of object recognition has received considerable attention from both the machine learning and computer vision communities. The key challenge of...
We introduce the novel problem of inter-robot transfer learning for perceptual classification of objects, where multiple heterogeneous robots communicate and transfer learned obje...
Purpose – Security information management systems (SIMs) have been providing a unified distributed platform for the efficient management of security information produced by co...
—Image category recognition is important to access visual information on the level of objects and scene types. So far, intensity-based descriptors have been widely used for featu...
Koen E. A. van de Sande, Theo Gevers, Cees G. M. S...