1. Sun, Q.S., Zeng, S.G., Liu, Y., Heng, P.A., Xia, D.S.: A New Method of Feature Fusion and Application in Image Recognition. Pattern Recognition 38, 2437–2448 (2005)

   Article  Google Scholar 

2. Liang, Y.X., Gong, W.G., Pan, Y.J., Li, W.H., Liu, J.M., Zhang, H.M.: Singular Value Decomposition-Based Approach For Face Recognition. Optics and Precision Engnineering 12(5), 543–549 (2004)

   Google Scholar 

3. Weenink, D.: Canonical Correlation Analysis. In: Institute of Phonetic Science, University of Amsterdam. Proceedings, vol. 25, pp. 81–99 (2003)

   Google Scholar 

4. Yang, J., Zhang, D., et al.: Two-Dimensional PCA:A New Approach to Appearance-Based Face Representation and Recognition. IEEE Transaction on Pattern Analysis and Machine Intelligence 26(1), 131–137 (2004)

   Article  Google Scholar 

5. Lattin, J.M., Douglas Carroll, J., Green, P.E.: Analyzing Multivariate Data, pp. 313–345. China Machine Press, Beijing

   Google Scholar 

6. Hotelling, H.: Relations Between two Sets of Variates. Biometrika 8, 321–377 (1936)

   Google Scholar 

7. Huang, D.S.: Systematic Theory of Neural Networks for Pattern Recognition. Publishing House of Electronic Industry of China, Beijing (1996)

   Google Scholar 

8. Huang, D.S.: Radial Basis Probabilistic Neural Networks: Model and Application. International Journal of Pattern Recognition and Artificial Intelligence 13(7), 1083–1101 (1999)

   Article  Google Scholar 

9. Huang, D.S., Ma, S.D.: Linear and Nonlinear Feedforward Neural Network Classifiers: A Comprehensive Understanding. Journal of Intelligent Systems 9(1), 1–38 (1999)

   MathSciNet  Google Scholar 

10. Huang, D.S.: Application of Generalized Radial Basis Function Networks to Recognition of Radar Targets. International Journal of Pattern Recognition and Artificial Intelligence 13(6), 945–962 (1999)

    Article  Google Scholar 

Download references