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Authors: Elena Nelyubina 1 ; Vladimir Ryazanov 2 and Alexander Vinogradov 2

Affiliations: 1 Kaliningrad State Technical University, Russian Federation ; 2 Federal Research Centre Computer Science and Control of Russian Academy of Sciences, Russian Federation

Keyword(s): Hough Transform, Geometric Specialty, Basic Cluster, Generalized Precedent, Logical Regularity, Positional Representation, Local Dependency, Coherent Subset.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Shape Representation and Matching

Abstract: In this paper the role of intrinsic and introduced data structures in constructing efficient data analysis algorithms is analyzed. We investigate the concept of generalized precedent and based on its use transforms of Hough type for search dependencies in data, reduction of dimension, and improvement of decision rule.

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Paper citation in several formats:
Nelyubina, E.; Ryazanov, V. and Vinogradov, A. (2017). Transforms of Hough Type in Abstract Feature Space: Generalized Precedents. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-225-7; ISSN 2184-4321, pages 651-656. DOI: 10.5220/0006270806510656

@conference{visapp17,
author={Elena Nelyubina. and Vladimir Ryazanov. and Alexander Vinogradov.},
title={Transforms of Hough Type in Abstract Feature Space: Generalized Precedents},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={651-656},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006270806510656},
isbn={978-989-758-225-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)
TI - Transforms of Hough Type in Abstract Feature Space: Generalized Precedents
SN - 978-989-758-225-7
IS - 2184-4321
AU - Nelyubina, E.
AU - Ryazanov, V.
AU - Vinogradov, A.
PY - 2017
SP - 651
EP - 656
DO - 10.5220/0006270806510656