This paper deals with state estimation problem for linear systems with state equality constraints. Using noisy measurements which are available from the observable system, we cons...
The efficiency of a points-to analysis is critical for several compiler optimizations and transformations, and has attracted considerable research attention. Despite several advanc...
The FERET evaluation compared recognition rates for different semi-automated and automated face recognition algorithms. We extend FERET by considering when differences in recognit...
J. Ross Beveridge, Kai She, Bruce A. Draper, Geof ...
We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...
This paper describes a new kernel-based approach for linear system identification of stable systems. We model the impulse response as the realization of a Gaussian process whose s...