Margin Emphasized Metric Learning and its application to Gabor feature based face recognition

@article{Li2011MarginEM,
  title={Margin Emphasized Metric Learning and its application to Gabor feature based face recognition},
  author={Shaoxin Li and Shiguang Shan},
  journal={Face and Gesture 2011},
  year={2011},
  pages={579-584}
}
In addressing side information based face recognition scenario, a new Margin Emphasized Metric Learning (MEML) method is proposed. As an improvement of previous metric learning, MEML defines a new objective function for optimization, which adds more weights to sample pairs on the boundary thus hard to classify. To further improve face verification performance, MEML is applied to Gabor feature in a block dividing and combining mode. Experiments on LFW image-restricted setting illustrate very… CONTINUE READING
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