A computationally efficient approach to local learning with kernel methods is presented. The Fast Local Kernel Support Vector Machine (FaLK-SVM) trains a set of local SVMs on redu...
This paper presents an architecture for FPGA acceleration of quadrature methods used for pricing complex options, such as discrete barrier, Bermudan, and American options. The arc...
This paper presents the concept and preliminary performance evaluation of a stochastic network discovery approach named opportunistic scanning. Therein, a station only pauses its ...
We consider the effect of network throughput on the convergence of a specific class of distributed averaging algorithms, called consensus algorithms. These algorithms rely on itera...
In this paper a technique is presented to estimate the traffic intensity for each lane. This method does not require background estimation or even the identification and tracking ...