Facial expression recognition with discriminatory graphical models

@article{Hasani2016FacialER,
  title={Facial expression recognition with discriminatory graphical models},
  author={Behzad Hasani and Mohammad M. Arzani and Mahmood Fathy and Kaamran Raahemifar},
  journal={2016 2nd International Conference of Signal Processing and Intelligent Systems (ICSPIS)},
  year={2016},
  pages={1-7}
}
Discriminating probabilistic graphical models are reliable tools for a sequence labeling task. Conditional Random Fields (CRFs) are discriminative models which will enable us to label a sequence of input data. Other variations of CRFs have been proposed. Hidden Conditional Random Fields (HCRFs) incorporate hidden states to the CRF model and assign a label for the whole input sequence as the model's output. Latent-Dynamic Conditional Random Fields (LDCRFs) also incorporate hidden variable states… CONTINUE READING
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