The clustering algorithm DBSCAN relies on a density-based notion of clusters and is designed to discover clusters of arbitrary shape as well as to distinguish noise. In this paper,...
With process technology and functional integration advancing steadily, chips are continuing to grow in area while critical dimensions are shrinking. This has led to the emergence o...
Yehia Massoud, Steve S. Majors, Jamil Kawa, Tareq ...
Algebraic methods for image reconstruction provide good solutions even if only few projections are available. However, they can create noisy images if the number of iterations or t...
In this paper, we study a maximum likelihood estimation (MLE) approach to preference aggregation and voting when the set of alternatives has a multi-issue structure, and the voter...