—Recently, we proposed a frequency-domain block signal detection using maximum likelihood detection (MLD) employing QR decomposition and M-algorithm (QRM-MLD) for the cyclic pref...
Abstract. We are interested in the problem of computing the average consensus in a distributed fashion on random geometric graphs. We describe a new algorithm called Multi-scale Go...
Clustering is an old research topic in data mining and machine learning communities. Most of the traditional clustering methods can be categorized local or global ones. In this pa...
Solving linear systems with a large number of variables is at the core of many scienti c problems. Parallel processing techniques for solving such systems have received much attent...
Arun Nagari, Itamar Elhanany, Ben Thompson, Fangxi...
We present a preventive model of tutoring for novice programming derived from a human corpus and describe our intelligent tutoring system PROPL embodying that model. The system co...