Optimization of a similarity metric is an essential component in most medical image registration approaches based on image intensities. The increasing availability of parallel comp...
In this paper, we examine a method for feature subset selection based on Information Theory. Initially, a framework for de ning the theoretically optimal, but computationally intr...
Reducing leakage power and improving the reliability of data stored in the memory cells are both becoming challenging as technology scales down. While the smaller threshold voltag...
Vijay Degalahal, Narayanan Vijaykrishnan, Mary Jan...
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...
The emergence of database languages with side effects, notably for XML, raises significant challenges for database compilers and optimizers. In this paper, we extend an algebra fo...