Ensemble-based discriminant learning with boosting for face recognition

@article{Lu2006EnsemblebasedDL,
  title={Ensemble-based discriminant learning with boosting for face recognition},
  author={Juwei Lu and Konstantinos N. Plataniotis and Anastasios N. Venetsanopoulos and Stan Z. Li},
  journal={IEEE Transactions on Neural Networks},
  year={2006},
  volume={17},
  pages={166-178}
}
In this paper, we propose a novel ensemble-based approach to boost performance of traditional Linear Discriminant Analysis (LDA)-based methods used in face recognition. The ensemble-based approach is based on the recently emerged technique known as "boosting". However, it is generally believed that boosting-like learning rules are not suited to a strong and stable learner such as LDA. To break the limitation, a novel weakness analysis theory is developed here. The theory attempts to boost a… CONTINUE READING
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