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Authors: Luminita State 1 ; Catalina Cocianu 2 ; Doru Constantin 1 ; Corina Sararu 1 and Panayiotis Vlamos 3

Affiliations: 1 University of Pitesti, Romania ; 2 Academy of Economic Studies, Romania ; 3 Ionian University, Greece

Keyword(s): Principal component analysis, Data compression/decompression, Statistical signal classification, First order approximation for eigen values and eigen vectors.

Related Ontology Subjects/Areas/Topics: Biometrics and Pattern Recognition ; Multimedia ; Multimedia Signal Processing ; Telecommunications

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.

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Paper citation in several formats:
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 (ICETE 2009) - SIGMAP; ISBN 978-989-674-007-8, SciTePress, pages 68-73. DOI: 10.5220/0002233200680073

@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 (ICETE 2009) - SIGMAP},
year={2009},
pages={68-73},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002233200680073},
isbn={978-989-674-007-8},
}

TY - CONF

JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications (ICETE 2009) - SIGMAP
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
PB - SciTePress

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