Dovbysh A.S., Budnyk M.M., Piatachenko V.Y., Myronenko M.I.
Information-extreme machine learning of on-board vehicle recognition system

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. © 2020, Springer Science+Business Media, LLC, part of Springer Nature.

Keywords: ground-based object, information criterion of optimization, informational-extreme intellectual technology, machine learning, on-board recognition system, polar coordinate system, vehicle, Ground vehicles, Image segmentation, Arbitrary positions, Categorical model, Decision rules, Extreme machine learning, Recognition systems, Region of interest, Vehicle recognition system, Machine learning

Cite:
Dovbysh A.S., Budnyk M.M., Piatachenko V.Y., Myronenko M.I. (2020). Information-extreme machine learning of on-board vehicle recognition system. Cybernetics and Systems Analysis, 56 (4), 18–27. doi: https://doi.org/10.1007/s10559-020-00269-y http://jnas.nbuv.gov.ua/article/UJRN-0001129990 [In Ukrainian].