Discriminative graph regularized extreme learning machine and its application to face recognition

@article{Peng2015DiscriminativeGR,
  title={Discriminative graph regularized extreme learning machine and its application to face recognition},
  author={Yong Peng and Suhang Wang and Xianzhong Long and Bao-Liang Lu},
  journal={Neurocomputing},
  year={2015},
  volume={149},
  pages={340-353}
}
Extreme Learning Machine (ELM) has been proposed as a new algorithm for training single hidden layer feed forward neural networks. The main merit of ELM lies in the fact that the input weights as well as hidden layer bias are randomly generated and thus the output weights can be obtained analytically, which can overcome the drawbacks incurred by gradient-based training algorithms such as local optima, improper learning rate and low learning speed. Based on the consistency property of data… CONTINUE READING
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