Modification of the Support Vector Machine Method for Classification and Detection of Anomalies in Image Processing Problems

Authors

  • Volodymyr Kobziev dept. of Software Engineering, Kharkiv National University of Radio Electronics
  • Kateryna Goryshnia dept. of Software Engineering, Kharkiv National University of Radio Electronics
  • Sergiy Yakovlev National Aerospace University “Kharkiv Aviation Institute”, Lodz University of Technology

Keywords:

classification, anomaly detection, support vectors, machine method, maximum gap, linear and non-linear separation

Abstract

Various aspects using modifications of the support vector machine method for variants of linear and non-linear separation of classification objects with the greatest distance between them are considered.

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Published

2024-05-24

Issue

2024: INFORMATION TECHNOLOGIES AND COMPUTER MODELLING proceedings of the International Scientific Conference

Section

Section 7 Mathematical and computer modelling of complex systems