Fast Multi-View Evaluation of Data Represented by Symmetric Clusters

Alexander Vinogradov

2008

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.

References

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Paper Citation


in Harvard Style

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 - Volume 1: IMTA, (VISIGRAPP 2008) ISBN 978-989-8111-25-8, pages 53-57. DOI: 10.5220/0002338600530057


in Bibtex Style

@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 - Volume 1: IMTA, (VISIGRAPP 2008)},
year={2008},
pages={53-57},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002338600530057},
isbn={978-989-8111-25-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Workshop on Image Mining Theory and Applications IMTA 2008 - Volume 1: IMTA, (VISIGRAPP 2008)
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