We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e. the ...
With the onset of Gigabit networks, current generation networking components will soon be insufficient for numerous reasons: most notably because existing methods cannot support h...
David Nguyen, Gokhan Memik, Seda Ogrenci Memik, Al...
This paper presents the design and implementation of a real-time behavior profiling system for high-speed Internet links. The profiling system uses flow-level information from con...
Kuai Xu, Feng Wang 0002, Supratik Bhattacharyya, Z...
In many applications we can deploy large number of sensors spanning wide geographical areas, to monitor environmental phenomena. The analysis of the data collected by such sensor ...
Sharmila Subramaniam, Vana Kalogeraki, Themis Palp...
Online monitoring of data streams poses a challenge in many data-centric applications, such as telecommunications networks, traffic management, trend-related analysis, webclick st...