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cs.DC2018
A Distributed Learning Architecture for Scientific Imaging Problems
A. Panousopoulou, S. Farrens, K. Fotiadou +4
Current trends in scientific imaging are challenged by the emerging need of integrating sophisticated machine learning with Big Data analytics platforms. This work proposes an in-m…
cs.RO2018
Invariant Smoothing on Lie Groups
Paul Chauchat, Axel Barrau, Silvère Bonnabel
In this paper we propose a (non-linear) smoothing algorithm for group-affine observation systems, a recently introduced class of estimation problems on Lie groups that bear a parti…