TOWARD A SEMI-SUPERVISED APPROACH IN CLASSIFICATION BASED ON PRINCIPAL DIRECTIONS

Luminita State, Catalina Cocianu, Doru Constantin, Corina Sararu, Panayiotis Vlamos

Abstract

Since similarity plays a key role for both clustering and classification purposes, the problem of finding a relevant indicators to measure the similarity between two patterns drawn from the same feature space became of major importance. The advantages of using principal components reside from the fact that bands are uncorrelated and no information contained in one band can be predicted by the knowledge of the other bands. The semi-supervised learning (SSL) problem has recently drawn large attention in the machine learning community, mainly due to its significant importance in practical applications. The aims of the research reported in this paper are to report experimentally derived conclusions on the performance of a PCA-based supervised technique in a semi-supervised environment. A series of conclusions experimentally established by tests performed on samples of signals coming from two classes are exposed in the final section of the paper.

References

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Paper Citation


in Harvard Style

State L., Cocianu C., Constantin D., Sararu C. and Vlamos P. (2009). TOWARD A SEMI-SUPERVISED APPROACH IN CLASSIFICATION BASED ON PRINCIPAL DIRECTIONS . In Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2009) ISBN 978-989-674-007-8, pages 68-73. DOI: 10.5220/0002233200680073


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2009)
TI - TOWARD A SEMI-SUPERVISED APPROACH IN CLASSIFICATION BASED ON PRINCIPAL DIRECTIONS
SN - 978-989-674-007-8
AU - State L.
AU - Cocianu C.
AU - Constantin D.
AU - Sararu C.
AU - Vlamos P.
PY - 2009
SP - 68
EP - 73
DO - 10.5220/0002233200680073


in Bibtex Style

@conference{sigmap09,
author={Luminita State and Catalina Cocianu and Doru Constantin and Corina Sararu and Panayiotis Vlamos},
title={TOWARD A SEMI-SUPERVISED APPROACH IN CLASSIFICATION BASED ON PRINCIPAL DIRECTIONS},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2009)},
year={2009},
pages={68-73},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002233200680073},
isbn={978-989-674-007-8},
}