Thermal/power issues have become increasingly important with more and more transistors being put on a single chip. Many dynamic thermal/power management techniques have been propo...
Statistics of ‘natural images’ provides useful priors for solving under-constrained problems in Computer Vision. Such statistics is usually obtained from large collections of ...
Statistical static timing analysis (SSTA) plays a key role in determining performance of the VLSI circuits implemented in state-of-the-art CMOS technology. A pre-requisite for emp...
One of the key points in Estimation of Distribution Algorithms (EDAs) is the learning of the probabilistic graphical model used to guide the search: the richer the model the more ...
Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. The ...