Margin Based Semi-Supervised Elastic Embedding for Face Image Analysis

@article{Dornaika2017MarginBS,
  title={Margin Based Semi-Supervised Elastic Embedding for Face Image Analysis},
  author={Fadi Dornaika and Youssof El Traboulsi},
  journal={2017 IEEE International Conference on Computer Vision Workshops (ICCVW)},
  year={2017},
  pages={1313-1320}
}
This paper introduces a graph-based semi-supervised elastic embedding method as well as its kernelized version for face image embedding and classification. The proposed frameworks combines Flexible Manifold Embedding and non-linear graph based embedding for semi-supervised learning. In both proposed methods, the nonlinear manifold and the mapping (linear transform for the linear method and the kernel multipliers for the kernelized method) are simultaneously estimated, which overcomes the… CONTINUE READING
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