Construction of the model of recognition operators in the large dimensional feature space
Shavkat FazilovTashkent University of Information Technologies, 108, Amir Temur ave., Tashkent, 100200, UzbekistanSobirjon RadjabovTashkent University of Information Technologies, 108, Amir Temur ave., Tashkent, 100200, UzbekistanOlimjon MirzaevTashkent University of Information Technologies, 108, Amir Temur ave., Tashkent, 100200, UzbekistanS MirzaevaTashkent University of Information Technologies, 108, Amir Temur ave., Tashkent, 100200, Uzbekistan
ABI
Abstract
In this paper, the problem of constructing a modified model of recognition operators based on potential functions is considered. The main advantage of the proposed recognition operators is the improvement of accuracy and a significant reduction in the amount of computational operations for the recognition of unknown objects, which makes it possible to apply them in the construction of real-time recognition systems. To test the efficiency of the proposed model, experimental research was carried out to solve the generated model problem and the problem of face recognition.
Topics
Identifiers
Citations and references
Metrics — AkademScholar · Coming soon