Compressive sampling (CS) is aimed at acquiring a signal or image from data which is deemed insufficient by Nyquist/Shannon sampling theorem. Its main idea is to recover a signal ...
When dealing with computationally expensive simulation codes or process measurement data, surrogate modeling methods are firmly established as facilitators for design space explor...
Dirk Gorissen, Ivo Couckuyt, Eric Laermans, Tom Dh...
Abstract. Current methods for solving games embody a form of “procedural rationality” that invites logical analysis in its own right. This paper is a brief case study of Backwa...
With the popularity of location-based services and the abundant usage of smart phones and GPS enabled devices, the necessity of outsourcing spatial data has grown rapidly over the...
Ling Hu, Wei-Shinn Ku, Spiridon Bakiras, Cyrus Sha...
Electronic visual prostheses, or "bionic eyes," are likely to provide some coarse visual sensations to blind patients who have these systems implanted. The quality of art...
Justin R. Boyle, Anthony J. Maeder, Wageeh W. Bole...