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Authors: David Masip 1 ; Àgata Lapedriza 2 and Jordi Vitrià 2

Affiliations: 1 University of Barcelona (UB), Spain ; 2 Universitat Autònoma de Barcelona, Spain

ISBN: 978-972-8865-74-0

Keyword(s): Face verification, Computer Vision, Logistic Regression Model, Multi-task Learning.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: In face verification problems the number of training samples from each class is usually reduced, making difficult the estimation of the classifier parameters. In this paper we propose a new method for face verification where we simultaneously train different face verification tasks, sharing the model parameter space. We use a multi-task extended logistic regression classifier to perform the classification. Our approach allows to share information from different classification tasks (transfer knowledge), mitigating the effects of the reduced sample size problem. Our experiments performed using the publicly available AR Face Database, show lower error rates when multiple tasks are jointly trained sharing information, which confirms the theoretical approx- imations in the related literature.

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Paper citation in several formats:
Masip D.; Lapedriza À.; Vitrià J. and (2007). FACE VERIFICATION BY SHARING KNOWLEDGE FROM DIFFERENT SUBJECTS.In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 978-972-8865-74-0, pages 286-289. DOI: 10.5220/0002058902860289

@conference{visapp07,
author={David Masip and Àgata Lapedriza and Jordi Vitrià},
title={FACE VERIFICATION BY SHARING KNOWLEDGE FROM DIFFERENT SUBJECTS},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2007},
pages={286-289},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002058902860289},
isbn={978-972-8865-74-0},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - FACE VERIFICATION BY SHARING KNOWLEDGE FROM DIFFERENT SUBJECTS
SN - 978-972-8865-74-0
AU - Masip, D.
AU - Lapedriza, À.
AU - Vitrià, J.
PY - 2007
SP - 286
EP - 289
DO - 10.5220/0002058902860289

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