Data Improvement using Form Factors Reconstructed in Latent Dimensions

Alexander Vinogradov; Yury Laptin

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Paper

Data Improvement using Form Factors Reconstructed in Latent Dimensions

In Proceedings of the 2nd International Workshop on Image Mining Theory and Applications - Volume 0VISIGRAPP, 93-99, 2009 , Lisboa, Portugal

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

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. and Laptin, Y. (2009). Data Improvement using Form Factors Reconstructed in Latent Dimensions. In Proceedings of the 2nd International Workshop on Image Mining Theory and Applications (VISIGRAPP 2009) - Workshop IMTA; ISBN 978-989-8111-80-7, SciTePress, 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 (VISIGRAPP 2009) - Workshop IMTA},
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 (VISIGRAPP 2009) - Workshop IMTA
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
PB - SciTePress