An elementary algorithm for classifying digital objects based on the variational principle

Fuente: arXiv
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Autore principale: Antonets, Mikhail
Natura: Preprint
Pubblicazione: 2024
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_version_ 1866909247289163776
author Antonets, Mikhail
author_facet Antonets, Mikhail
contents When using the maximin principle to solve the problem of classifying digital objects according to histograms, generated by this objects, it becomes necessary to take into account all the vertices of the polyhedron, generated by inequalities - restrictions in which the objective function takes maximum values or values close to maximum, if the data is noisy. In the proposed work, to obtain coordinates of all vertices mentioned polyhedron, a modification of H.Uzawa's method is used, which is obtained by replacing vectors and matrices with functions defined on finite sets of a special type.
format Preprint
id arxiv_https___arxiv_org_abs_2407_06246
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle An elementary algorithm for classifying digital objects based on the variational principle
Antonets, Mikhail
Optimization and Control
I.2
G.4.9
When using the maximin principle to solve the problem of classifying digital objects according to histograms, generated by this objects, it becomes necessary to take into account all the vertices of the polyhedron, generated by inequalities - restrictions in which the objective function takes maximum values or values close to maximum, if the data is noisy. In the proposed work, to obtain coordinates of all vertices mentioned polyhedron, a modification of H.Uzawa's method is used, which is obtained by replacing vectors and matrices with functions defined on finite sets of a special type.
title An elementary algorithm for classifying digital objects based on the variational principle
topic Optimization and Control
I.2
G.4.9
url https://arxiv.org/abs/2407.06246