Information-Extreme Machine Learning of On-Board Vehicle Recognition System

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 fram...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Cybernetics and systems analysis 2020-07, Vol.56 (4), p.534-543
Hauptverfasser: Dovbysh, A. S., Budnyk, M. M., Piatachenko, V. Yu, Myronenko, M. I.
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Artificial Intelligence
Control
Decision-making
Drone aircraft
Machine learning
Mathematics
Mathematics and Statistics
Object recognition
Processor Architectures
Software Engineering/Programming and Operating Systems
Systems Theory
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
ISSN:1060-0396
1573-8337
DOI:10.1007/s10559-020-00269-y