Data Improvement using Form Factors Reconstructed in Latent Dimensions

Alexander Vinogradov, Yury Laptin

2009

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.

References

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Paper Citation


in Harvard Style

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 - Volume 1: Workshop IMTA, (VISIGRAPP 2009) ISBN 978-989-8111-80-7, pages 93-99. DOI: 10.5220/0001963800930099


in Bibtex Style

@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},
}


in EndNote Style

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