This paper studies a variational Bayesian unmixing algorithm for hyperspectral images based on the standard linear mixing model. Each pixel of the image is modeled as a linear com...
Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourner...
A celebrated 1976 theorem of Aumann asserts that honest, rational Bayesian agents with common priors will never "agree to disagree": if their opinions about any topic ar...
We review recent progress in the study of arrangements in computational and combinatorial geometry, and discuss several open problems and areas for further research. In this talk I...
The rapid growth of blog (also known as “weblog”) data provides a rich resource for social community mining. In this paper, we put forward a novel research problem of mining t...
An implicit assumption in psychometrics and educational statistics is that the generative model for student scores on test questions is governed by the topics of those questions an...