In this paper, we consider estimating sparse inverse covariance of a Gaussian graphical model whose conditional independence is assumed to be partially known. Similarly as in [5],...
As the operating frequency increases to Giga Hertz and the rise time of a signal is less than or comparable to the time-of-flight delay of a line, it is necessary to consider the...
- We have developed a performance prediction model for non-bonded interaction computations in molecular dynamics simulations, thereby predicting the optimal cell dimension in a lin...
Manaschai Kunaseth, Rajiv K. Kalia, Aiichiro Nakan...
A generic imaging model refers to a non-parametric camera model where every camera is treated as a set of unconstrained projection rays. Calibration would simply be a method to ma...
We describe a class of translation model in which a set of input variants encoded as a context-free forest is translated using a finitestate translation model. The forest structur...