Abstract. In this paper we present a novel analysis of a random sampling approach for three clustering problems in metric spaces: k-median, min-sum kclustering, and balanced k-medi...
In the last decades, a large family of algorithms supervised or unsupervised; stemming from statistic or geometry theory have been proposed to provide different solutions to the p...
Sensors are often indicative of events of interest, or events which a system should be aware of and should react to. In particular, such indications may reflect unsteadiness or in...
Amir Padovitz, Arkady B. Zaslavsky, Seng Wai Loke,...
Knowledge representation is essential for semantics modeling and intelligent information processing. For decades researchers have proposed many knowledge representation techniques...
In this paper, we introduce the concept of breadth-last technical elective courses, which are designed to assist undergraduate CS students in integrating their entire core curricu...