In this paper, we propose a general discrete regularization framework on weighted graphs of arbitrary topology. This framework unifies filtering and classification methods and can be applied on data sets or images. Experimental results show the abilities of the proposed algorithm on classical images and data sets problems and the similarities between both.
In this position paper, we address the problems of automated road congestion detection and alerting systems and their security properties. We review different theoretical adaptive road traffic control approaches, and three widely deployed adaptive traffic control systems (ATCSs), namely, SCATS, SCOOT and InSync. We then discuss some related research… (More)