Project Summary
The CAIAS is collaborating with the Army Research Office (ARO) via the Leonard Wood Institute (LWI) of Fort Leonard Wood to conduct research in scalable and lifelong machine learning for infrared computer vision edge applications. This research collaboration has resulted in the development of the novel Meta-iCVI method (paper, preprint) for generating metrics of correct, under- , or over-partitioning of clustering processes in the absence of labels.
The paper is has been accepted in IEEE Access.
