We propose a new data structure to search in metric spaces. A metric space is formed by a collection of objects and a distance function de ned among them, which satis es the trian...
Subspace clustering has many applications in computer vision, such as image/video segmentation and pattern classification. The major issue in subspace clustering is to obtain the ...
Abstract. The modeling of concepts from a cognitive perspective is important for designing spatial information systems that interoperate with human users. Concept representations t...
ABSTRACT. We introduce a novel approach to the runtime monitoring of complex system properties. In particular, we present an online algorithm for a safety fragment of metric first...
Much of the world's critical infrastructure is at risk from attack through electronic networks connected to control systems. Security metrics are important because they provid...