For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...

Abstract: Network threat detection and identification remain fundamental tasks in cyberspace defence. Existing graph-based detection methods exhibit limited capabilities in transformability and ...

Abstract: Agricultural remote sensing community is increasingly focusing on enhancing crop mapping accuracy by improving data-driven machine-learning model structures, yet ignoring impact of ...

We study linear regressions in a context where the outcome of interest and some of the covariates are observed in two different datasets that cannot be matched. Traditional approaches obtain point ...