Algebraic methods for solving recognition problems with non-crossing classes
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 the...
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creator | Kabulov, Anvar Babadzhanov, Alimdzhan Saymanov, Islambek |
description | 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. |
doi_str_mv | 10.48550/arxiv.2401.13666 |
format | Article |
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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.</description><identifier>DOI: 10.48550/arxiv.2401.13666</identifier><language>eng</language><subject>Computer Science - Computer Vision and Pattern Recognition</subject><creationdate>2024-01</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2401.13666$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2401.13666$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Kabulov, Anvar</creatorcontrib><creatorcontrib>Babadzhanov, Alimdzhan</creatorcontrib><creatorcontrib>Saymanov, Islambek</creatorcontrib><title>Algebraic methods for solving recognition problems with non-crossing classes</title><description>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.</description><subject>Computer Science - Computer Vision and Pattern Recognition</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotz7FuwyAUhWGWDlXaB-gUXsAuGN9rM0ZR01ay1CW7BRgcJAwRWGnz9lXSTmf5daSPkBfO6rYHYK8q__hL3bSM11wg4iMZdmG2Oitv6GLXU5oKdSnTksLFx5lma9Ic_epTpOecdLBLod9-PdGYYmVyKuWWmaBKseWJPDgVin3-3w05Ht6O-49q-Hr_3O-GSmGHlWxYwy1OppfCaQMoXccRhNLYTT13KFjPpQDXgJU4adVqB4IprQFa6KTYkO3f7Z0znrNfVL6ON9Z4Z4lfc3FInA</recordid><startdate>20240124</startdate><enddate>20240124</enddate><creator>Kabulov, Anvar</creator><creator>Babadzhanov, Alimdzhan</creator><creator>Saymanov, Islambek</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20240124</creationdate><title>Algebraic methods for solving recognition problems with non-crossing classes</title><author>Kabulov, Anvar ; Babadzhanov, Alimdzhan ; Saymanov, Islambek</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a676-92021e6dc893fbc569f71653ab67d81f63081935f25e96dba4bf530abb5545793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Computer Science - Computer Vision and Pattern Recognition</topic><toplevel>online_resources</toplevel><creatorcontrib>Kabulov, Anvar</creatorcontrib><creatorcontrib>Babadzhanov, Alimdzhan</creatorcontrib><creatorcontrib>Saymanov, Islambek</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kabulov, Anvar</au><au>Babadzhanov, Alimdzhan</au><au>Saymanov, Islambek</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Algebraic methods for solving recognition problems with non-crossing classes</atitle><date>2024-01-24</date><risdate>2024</risdate><abstract>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.</abstract><doi>10.48550/arxiv.2401.13666</doi><oa>free_for_read</oa></addata></record> |
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title | Algebraic methods for solving recognition problems with non-crossing classes |
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