Abstract
The article proposes a categorical model and algorithm for information-extreme machine learning of the on-board recognition system for small ground vehicles. The decision rules constructed as a result of machine learning are invariant to an arbitrary position of the object of recognition in the frame of the region of interest.
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Translated from Kibernetika i Sistemnyi Analiz, No. 4, July–August, 2020, pp. 18–27.
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Dovbysh, A.S., Budnyk, M.M., Piatachenko, V.Y. et al. Information-Extreme Machine Learning of On-Board Vehicle Recognition System. Cybern Syst Anal 56, 534–543 (2020). https://doi.org/10.1007/s10559-020-00269-y
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DOI: https://doi.org/10.1007/s10559-020-00269-y