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Author |
David Masip; Agata Lapedriza; Jordi Vitria |
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Title |
Boosted Online Learning for Face Recognition |
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Journal Article |
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2009 |
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IEEE Transactions on Systems, Man and Cybernetics part B |
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TSMCB |
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39 |
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2 |
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530–538 |
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Abstract |
Face recognition applications commonly suffer from three main drawbacks: a reduced training set, information lying in high-dimensional subspaces, and the need to incorporate new people to recognize. In the recent literature, the extension of a face classifier in order to include new people in the model has been solved using online feature extraction techniques. The most successful approaches of those are the extensions of the principal component analysis or the linear discriminant analysis. In the current paper, a new online boosting algorithm is introduced: a face recognition method that extends a boosting-based classifier by adding new classes while avoiding the need of retraining the classifier each time a new person joins the system. The classifier is learned using the multitask learning principle where multiple verification tasks are trained together sharing the same feature space. The new classes are added taking advantage of the structure learned previously, being the addition of new classes not computationally demanding. The present proposal has been (experimentally) validated with two different facial data sets by comparing our approach with the current state-of-the-art techniques. The results show that the proposed online boosting algorithm fares better in terms of final accuracy. In addition, the global performance does not decrease drastically even when the number of classes of the base problem is multiplied by eight. |
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1083–4419 |
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BCNPCL @ bcnpcl @ MLV2009 |
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1155 |
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Author |
David Masip; Jordi Vitria |
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Title |
Feature Extraction for Nearest Neighbor Classification. Application to Gender Recognition |
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2005 |
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International Journal of Intelligent Systems, 20(5): 561–576 (IF: 0.657) |
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BCNPCL @ bcnpcl @ MaV2005 |
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562 |
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David Masip; Jordi Vitria |
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Title |
Boosted discriminant projections for nearest neighbor classification |
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2006 |
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Pattern Recognition, 39(2): 164–170 |
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BCNPCL @ bcnpcl @ MaV2006 |
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634 |
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David Masip; Jordi Vitria |
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Title |
Shared Feature Extraction for Nearest Neighbor Face Recognition |
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2008 |
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IEEE Transactions on Neural Networks |
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19 |
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4 |
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586–595 |
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BCNPCL @ bcnpcl @ MaV2008 |
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944 |
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Author |
David Masip; Ludmila I. Kuncheva; Jordi Vitria |
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Title |
An ensemble-based method for linear feature extraction for two-class problems |
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2005 |
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Pattern Analysis and Applications, 8(3): 227–237 (IF: 0.782) |
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BCNPCL @ bcnpcl @ MKV2005 |
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613 |
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