To detect multiple objects of interest, the methods based on Hough transform use non-maxima supression or mode seeking in order to locate and to distinguish peaks in Hough images....
One of the challenges in unsupervised machine learning is finding the number of clusters in a dataset. Clustering Validity Indices (CVI) are popular tools used to address this pro...
Abstract—Linear precoding for multiuser multiple input multiple output (MIMO) cellular systems has generally focused on a single isolated cell. A crucial tool in algorithm develo...
The problem of overlapping clustering, where a point is allowed to belong to multiple clusters, is becoming increasingly important in a variety of applications. In this paper, we ...
We introduce and study qualitative multiple outcomes games. These games are noncooperative games with qualitative utilities (i.e., values over an ordinal scale), strictly qualitat...