Algebraic methods for solving recognition problems with non-crossing classes

Fuente: arXiv
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Bibliographic Details
Main Authors: Kabulov, Anvar, Babadzhanov, Alimdzhan, Saymanov, Islambek
Format: Preprint
Published: 2024
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author Kabulov, Anvar
Babadzhanov, Alimdzhan
Saymanov, Islambek
author_facet Kabulov, Anvar
Babadzhanov, Alimdzhan
Saymanov, Islambek
contents In this paper, we propose to consider various models of pattern recognition. At the same time, it is proposed to consider models in the form of two operators: a recognizing operator and a decision rule. Algebraic operations are introduced on recognizing operators, and based on the application of these operators, a family of recognizing algorithms is created. An upper estimate is constructed for the model, which guarantees the completeness of the extension.
format Preprint
id arxiv_https___arxiv_org_abs_2401_13666
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Algebraic methods for solving recognition problems with non-crossing classes
Kabulov, Anvar
Babadzhanov, Alimdzhan
Saymanov, Islambek
Computer Vision and Pattern Recognition
68T10
In this paper, we propose to consider various models of pattern recognition. At the same time, it is proposed to consider models in the form of two operators: a recognizing operator and a decision rule. Algebraic operations are introduced on recognizing operators, and based on the application of these operators, a family of recognizing algorithms is created. An upper estimate is constructed for the model, which guarantees the completeness of the extension.
title Algebraic methods for solving recognition problems with non-crossing classes
topic Computer Vision and Pattern Recognition
68T10
url https://arxiv.org/abs/2401.13666