A Reverse k-Nearest-Neighbor (RkNN) query finds the objects that take the query object as one of their k nearest neighbors. In this paper we propose new solutions for evaluating R...
The challenge of maximizing the diversity of a collection of points arises in a variety of settings, including the setting of search methods for hard optimization problems. One ver...
A method is proposed to detect multi-part man-made or natural objects in complex images. It consists in first extracting simple curves and straight lines from the edge map. Then, ...
A recently published approach to adaptive page rank, using the solution of quadratic optimization methods with a set of simple constraints [3], is modified to permit classificatio...
Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchn...
Abstract. We evaluate the performance of FPT algorithms for the directed feedback vertex set problem (DFVS). We propose several new data reduction rules for DFVS. which can signiï¬...