Facial Expression Recognition Method Based on Gabor Wavelet Features and Fractional Power Polynomial Kernel PCA

Author:

Liu Shuai-shi,Tian Yan-tao

Publisher

Springer Berlin Heidelberg

Reference11 articles.

1. Liu, S., Tian, Y., Li, D.: New Research Advances of Facial Expression Recognition. In: International Conference on Machine Learning and Cybernetics, pp. 1150–1155. IEEE Press, New York (2009)

2. Andrew, A., Calder, J., Burton, M.: A principal component analysis of facial expressions. J. Visi. Rese. 41, 1179–1208 (2001)

3. Sun, W., Ruan, Q.: Two-Dimension PCA for Facial Expression Recognition. In: International Conference on Signal Processing Proceedings, pp. 1721–1724. IEEE Press, New York (2006)

4. Scholkopf, B., Smola, A., Muller, K.: Nonlinear Component Analysis as a Kernel Eigenvalue Problem. J. Neur. Comput. 10, 1299–1319 (1998)

5. Muller, K., Mika, S., Ratsch, G., Tsuda, K., Scholkopf, B.: An Introduction to Kernel-based Learning Algorithms. J. Neur. Net. 12, 181–201 (2001)

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