Boosting Gabor Feature Classifier for Face Recognition Using Random Subspace

@article{Gao2006BoostingGF,
  title={Boosting Gabor Feature Classifier for Face Recognition Using Random Subspace},
  author={Yong Gao and Yangsheng Wang and Xuetao Feng and Xiaoxu Zhou},
  journal={2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings},
  year={2006},
  volume={2},
  pages={II-II}
}
Gabor feature has been widely viewed as a good representation method for face recognition. AdaBoost is an excellent machine learning technique. Learning Gabor feature based classifier using AdaBoost is one of the best face recognition algorithms. However, dimensionality of Gabor feature space usually is very high, which makes the training program need huge memory or else take a very long time to run. In this paper, we propose a method which not only can solve the problem but also can improve… CONTINUE READING

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