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

被引：5
|
作者：
Dovbysh, A. S. [1 ]
Budnyk, M. M. [2 ]
Piatachenko, V. Yu. [1 ]
Myronenko, M. I. [1 ]
机构：
[1] Sumy State Univ, Sumy, Ukraine
[2] Taras Shevchenko Natl Univ Kyiv, Kiev, Ukraine
来源：
CYBERNETICS AND SYSTEMS ANALYSIS | 2020年 / 56卷 / 04期
关键词：
informational-extreme intellectual technology; machine learning; information criterion of optimization; on-board recognition system; polar coordinate system; ground-based object; vehicle;
D O I：
10.1007/s10559-020-00269-y
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：534 / 543
页数：10
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