Construction of the model of recognition operators in the large dimensional feature space

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 recog...

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Published in:Journal of physics. Conference series 2019-03, Vol.1210 (1), p.12044
Main Authors: Fazilov, Sh, Radjabov, S, Mirzaev, O, Mirzaeva, S
Format: Article
Language:English
Subjects:
Face recognition
Object recognition
Operators
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Mirzaev, O
Mirzaeva, S
description 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.
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subjects Face recognition
Object recognition
Operators
title Construction of the model of recognition operators in the large dimensional feature space
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