Fast Multi-View Evaluation of Data Represented by Symmetric Clusters

Alexander Vinogradov

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Paper

Fast Multi-View Evaluation of Data Represented by Symmetric Clusters

Topics: Statistical Approach; Surface Geometry and Shape

In Proceedings of the 1st International Workshop on Image Mining Theory and Applications IMTA 2008 - Volume 0VISIGRAPP, 53-57, 2008 , Funchal, Madeira, Portugal

Author: Alexander Vinogradov

Affiliation: A. A. Dorodnicyn Computing Centre, Russian Academy of Sciences, Russian Federation

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Statistical Approach ; Surface Geometry and Shape

Abstract: A new framework is proposed for a fast calculation of linear scalings posed on structured data. Several widely used types of data representation based on clusters with intrinsic features of local simmetry are taken into account. Paper presents some Image Mining technologies that are used for improvement of abstract data multi-view evaluation procedures.

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Paper citation in several formats:

Vinogradov, A. (2008). Fast Multi-View Evaluation of Data Represented by Symmetric Clusters. In Proceedings of the 1st International Workshop on Image Mining Theory and Applications IMTA 2008 (VISIGRAPP 2008) - IMTA; ISBN 978-989-8111-25-8, SciTePress, pages 53-57. DOI: 10.5220/0002338600530057

@conference{imta08,
author={Alexander Vinogradov.},
title={Fast Multi-View Evaluation of Data Represented by Symmetric Clusters},
booktitle={Proceedings of the 1st International Workshop on Image Mining Theory and Applications IMTA 2008 (VISIGRAPP 2008) - IMTA},
year={2008},
pages={53-57},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002338600530057},
isbn={978-989-8111-25-8},
}

TY - CONF

JO - Proceedings of the 1st International Workshop on Image Mining Theory and Applications IMTA 2008 (VISIGRAPP 2008) - IMTA
TI - Fast Multi-View Evaluation of Data Represented by Symmetric Clusters
SN - 978-989-8111-25-8
AU - Vinogradov, A.
PY - 2008
SP - 53
EP - 57
DO - 10.5220/0002338600530057
PB - SciTePress