A statistical framework for modeling and prediction of binary matrices is presented. The method is applied to social network analysis, specifically the database of US Supreme Cou...
Eric Wang, Jorge Silva, Rebecca Willett, Lawrence ...
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...
The taking of turns to speak is an intrinsic property of conversation. It is expected that models of taking turns, providing a prior distribution over conversational form, can red...
This paper advocates a strict compositional and hybrid approach for obtaining key (performance) metrics of embedded At its core the developed methodology abstracts system componen...
Understanding of the dynamic behaviour of the levator ani is important to the assessment of pelvic floor dysfunction. Whilst shape modelling allows the depiction of 3D morphologica...