Facial expression recognition using constructive feedforward neural networks

  title={Facial expression recognition using constructive feedforward neural networks},
  author={Liying Ma and Khashayar Khorasani},
  journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)},
A new technique for facial expression recognition is proposed, which uses the two-dimensional (2D) discrete cosine transform (DCT) over the entire face image as a feature detector and a constructive one-hidden-layer feedforward neural network as a facial expression classifier. An input-side pruning technique, proposed previously by the authors, is also incorporated into the constructive learning process to reduce the network size without sacrificing the performance of the resulting network. The… CONTINUE READING
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Recognition of facial expressions using 2-d dct and neural network

  • Y. Xiao, N. P. Chandrasiri, Y. Tadokoro, M. Oda
  • Electron. Commun. Jpn., vol. 82, no. 7, pp. 1–11…
  • 1999
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8 Excerpts

Facial expression recognition using constructive neural networks

  • Proc. SPIE, vol. 4380, pp. 521–530, 2001.
  • 2001
2 Excerpts

New pruning techniques for constructive neural networks with application to image compression

  • L. Ma, K. Khorasani
  • Proc. SPIE, vol. 4055, pp. 298–308, 2000.
  • 2000
1 Excerpt

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