no code implementations • 9 Feb 2023 • Lloyd Windrim, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan, Raymond Leung
The proposed pipeline brings together unsupervised and self-supervised algorithms in a unified system to map minerals on a mine face without the need for human-annotated training data.
no code implementations • 7 Feb 2022 • Rami N Khushaba, Arman Melkumyan, Andrew J Hill
During the mining process, boundary positions and material properties are refined as the mine progresses.
no code implementations • 28 Nov 2016 • Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard Murphy
For hyperspectral data, one of the main variations encountered outdoors is due to incident illumination, which can change in spectral shape and intensity depending on the scene geometry.
no code implementations • 6 Oct 2012 • Shrihari Vasudevan, Arman Melkumyan, Steven Scheding
This paper evaluates heterogeneous information fusion using multi-task Gaussian processes in the context of geological resource modeling.