Containing the spread of crime in urban societies remains a major challenge. Empirical
evidence suggests that, if left unchecked, crimes may be recurrent and proliferate. On the …

Graph partitioning has attracted considerable attention due to its high practicality for real-
world applications. It is particularly relevant to social networks because it enables the …

Given a query location q, Geo-Social Ranking (GSR) ranks the users of a Geo-Social
Network based on their distance to q, the number of their friends in the vicinity of q, and …

The demand for analyzing patterns and structures of data is growing dramatically in recent
years. The study of network structure is pervasive in sociology, biology, computer science …

Spectral graph clustering is among the most popular algorithms for unsupervised
segmentation. Applications include problems such as speech separation, segmenting …

Estimating multiple geometric shapes such as tracks or surfaces creates significant
mathematical challenges particularly in the presence of unknown data association. In …