Abstract. We study the problem of evaluating RDF queries over structured overlay networks. We consider the publish/subscribe scenario where nodes subscribe with long-standing queri...
We present a robust, noise-resistant criterion characterizing planelike skeletons in binary voxel objects. It is based on a distance map and the geodesic distance along the object...
Most standard learning algorithms, such as Logistic Regression (LR) and the Support Vector Machine (SVM), are designed to deal with i.i.d. (independent and identically distributed...
Chi-Hoon Lee, Matthew R. G. Brown, Russell Greiner...
Abstract—We propose a robust fitting framework, called Adaptive Kernel-Scale Weighted Hypotheses (AKSWH), to segment multiplestructure data even in the presence of a large number...
—In this paper we present graph-based approaches to mining for anomalies in domains where the anomalies consist of unexpected entity/relationship alterations that closely resembl...