MutualBoost learning for selecting Gabor features for face recognition

@article{Shen2006MutualBoostLF,
  title={MutualBoost learning for selecting Gabor features for face recognition},
  author={Linlin Shen and Li Bai},
  journal={Pattern Recognition Letters},
  year={2006},
  volume={27},
  pages={1758-1767}
}
This paper describes an improved boosting algorithm, the MutualBoost algorithm, and its application in developing a fast and robust Gabor feature based face recognition system. The algorithm uses mutual information to eliminate redundancy among Gabor features selected using the AdaBoost algorithm. Selected Gabor features are then subjected to Generalized Discriminant Analysis (GDA) for class separability enhancement before being used for face recognition. Compared with one of the top performers… CONTINUE READING
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