Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
Obtaining the best linear unbiased estimator (BLUE) of noisy signals is a traditional but powerful approach to noise reduction. Explicitly computing the BLUE usually requires the ...
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Reducing power dissipation is one of the most principle subjects in VLSI design today. Scaling causes subthreshold leakage currents to become a large component of total power diss...
Mohab Anis, Mohamed Mahmoud, Mohamed I. Elmasry, S...
With the shift towards deep sub-micron (DSM) technologies, the increase in leakage power and the adoption of poweraware design methodologies have resulted in potentially significa...
Sudeep Pasricha, Young-Hwan Park, Fadi J. Kurdahi,...