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Authors: Alexander Vinogradov 1 and Yury Laptin 2

Affiliations: 1 Dorodnicyn Computing Centre of the Russian Academy of Sciences, Russian Federation ; 2 Glushkov Institute of Cybernetics of the Ukrainian National Academy of Sciences, Ukraine

ISBN: 978-989-8111-80-7

Abstract: A new approach to the problem of enhanced description of cluster boundaries in the sample is developed. New density estimates calculated on the base of nonlinear reconstruction of form factors in latent dimensions are used for resolving critical loci in empirical distributions.

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Paper citation in several formats:
Vinogradov A.; Laptin Y. and (2009). Data Improvement using Form Factors Reconstructed in Latent Dimensions.In Proceedings of the 2nd International Workshop on Image Mining Theory and Applications - Volume 1: Workshop IMTA, (VISIGRAPP 2009) ISBN 978-989-8111-80-7, pages 93-99. DOI: 10.5220/0001963800930099

@conference{workshop imta09,
author={Alexander Vinogradov and Yury Laptin},
title={Data Improvement using Form Factors Reconstructed in Latent Dimensions},
booktitle={Proceedings of the 2nd International Workshop on Image Mining Theory and Applications - Volume 1: Workshop IMTA, (VISIGRAPP 2009)},
year={2009},
pages={93-99},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001963800930099},
isbn={978-989-8111-80-7},
}

TY - CONF

JO - Proceedings of the 2nd International Workshop on Image Mining Theory and Applications - Volume 1: Workshop IMTA, (VISIGRAPP 2009)
TI - Data Improvement using Form Factors Reconstructed in Latent Dimensions
SN - 978-989-8111-80-7
AU - Vinogradov, A.
AU - Laptin, Y.
PY - 2009
SP - 93
EP - 99
DO - 10.5220/0001963800930099

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