In this paper, we propose a general way of constructing an NLG system that permits the systematic exploration of the effects of particular system choices on output quality. We cal...
This paper studies a hierarchical Bayesian model for nonlinear hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are polynomial functions of li...
Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon...
This work studies distributed linear transmission strategies for the multiple-input multiple-output (MIMO) interference channel with multiple concurrent links. We introduce the no...
Jianqi Wang, Amitav Mukherjee, A. Lee Swindlehurst
The ability to automatically detect visually interesting regions in images has practical applications in the design of active machine vision systems. Analysis of the statistics of...
Umesh Rajashekar, Ian van der Linde, Alan C. Bovik...
The emerging theory of compressed sensing (CS) provides a universal signal detection approach for sparse signals at sub-Nyquist sampling rates. A small number of random projection...