We consider the sparse inverse covariance regularization problem or graphical lasso with regularization parameter λ. Suppose the sample covariance graph formed by thresholding th...
We propose a scalable and efficient parameterized block-based statistical static timing analysis algorithm incorporating both Gaussian and non-Gaussian parameter distributions, ca...
We present a robust algorithm for independent component analysis that uses the sum of marginal quadratic negentropies as a dependence measure. It can handle arbitrary source densit...
Recent developments in the fields of parallel rendering and high resolution tiled displays have made it possible to apply these technologies to build large and scalable stereo di...
Tom van der Schaaf, Desmond Germans, Michal Koutek...
The development of complex scientific applications for high-end systems is a challenging task. Addressing complexity of the involved software and algorithms is becoming increasing...
Manojkumar Krishnan, Yuri Alexeev, Theresa L. Wind...