GENERATIVE TOPOGRAPHIC MAPPING AND FACTOR ANALYZERS

Rodolphe Priam; Mohamed Nadif

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Paper

GENERATIVE TOPOGRAPHIC MAPPING AND FACTOR ANALYZERS

Topics: ICA, PCA, CCA and other Linear Models; Neural Networks

In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, 284-287, 2012 , Vilamoura, Algarve, Portugal

Authors: Rodolphe Priam ¹ and Mohamed Nadif ²

Affiliations: ¹ University of Southampton, United Kingdom ; ² Université Paris Descartes, France

Keyword(s): Generative topographic mapping, Random factors, Expectation-maximization.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Health Engineering and Technology Applications ; Human-Computer Interaction ; ICA, PCA, CCA and other Linear Models ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: By embedding random factors in the Gaussian mixture model (GMM), we propose a new model called faGTM. Our approach is based on a flexible hierarchical prior for a generalization of the generative topographic mapping (GTM) and the mixture of principal components analyzers (MPPCA). The parameters are estimated with expectation-maximization and maximum a posteriori. Empirical experiments show the interest of our proposal.

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Paper citation in several formats:

Priam, R. and Nadif, M. (2012). GENERATIVE TOPOGRAPHIC MAPPING AND FACTOR ANALYZERS. In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM; ISBN 978-989-8425-98-0; ISSN 2184-4313, SciTePress, pages 284-287. DOI: 10.5220/0003765202840287

@conference{icpram12,
author={Rodolphe Priam. and Mohamed Nadif.},
title={GENERATIVE TOPOGRAPHIC MAPPING AND FACTOR ANALYZERS},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM},
year={2012},
pages={284-287},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003765202840287},
isbn={978-989-8425-98-0},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM
TI - GENERATIVE TOPOGRAPHIC MAPPING AND FACTOR ANALYZERS
SN - 978-989-8425-98-0
IS - 2184-4313
AU - Priam, R.
AU - Nadif, M.
PY - 2012
SP - 284
EP - 287
DO - 10.5220/0003765202840287
PB - SciTePress