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26. Ahonen, T,. Pietikainen, M., Hadid, A.: Face recognition based on the appearance of local
regions. In: Proceedings of 17th International Conference on Pattern Recognition, vol. 3, pp.
153-156 (2004)
27. Liu, C.: Gabor-based kernel PCAwith fractional power polynomial models for face recognition.
IEEE Trans. Pattern Anal. Mach. Intell. 26 (5), 572-581 (2004)
28. Martinez, A.M., Kak, A.C.: PCA versus LDA. IEEE Trans. Pattern Anal. Mach. Intell. 23 (2),
228-233 (2001)
29. Kim, T., Kittler, J.: Locally linear discriminant analysis for multimodally distributed classes
for face recognition with a single model image. IEEE Trans. Pattern Anal. Mach. Intell. 27 (3),
318-327 (2005)
30. Dai, G., Qian, Y., Jia, S.: A Kernel fractional-step nonlinear discriminant analysis for pattern
recognition. In: Proceedings of 17th International Conference on Pattern Recognition, vol. 2,
pp. 431-434 (2004)
31. Bartlett, M.S., Lades, H.M., Sejnowski, T.J.: Independent component representations for face
recognition. Proc. of SPIE 3299 , 528-539 (1998)
32. Cichocki, A., Amari, S.: Adaptive Blind Signal and Image Processing: Learning Algorithms
and Applications. John Wiley and Sons, New York (2002)
33. Kwak, K., Pedrycz, W.: Face recognition using an enhanced independent component analysis
approach. IEEE Trans. Neural Network 18 (2), 530-541 (2007)
34. Kim, J., Choi, J., Yi, J., Turk, M.: Effective representation using ICA for face recognition
robust to local distortion and partial occlusion. IEEE Trans. Pattern Anal. Mach. Intell. 27 (12),
1977-1981 (2005)
35. Hyvarinen, A., Karhunen, J., Oja, E.: Independent Component Analysis. John Wiley and Sons,
New York (2001)
36. Huang, D., Mi, J.: A new constrained independent component analysis method. IEEE Trans.
Neural Netw. 18 (5), 1532-1535 (2007)
37. Wei, L., Jagath, C.R.: ICA with reference. Neurocomputing 69 , 2244-2257 (2006)
38. Bartlett, M.S., Movellan, J.R., Sejnowski, T.J.: Face recognition by independent component
analysis. IEEE Trans. Neural Netw. 13 (6), 1450-1464 (2002)
39. Er, M.J., Chen, W., Wu, S.: High-speed face recognition based on discrete cosine transform
and RBF neural networks. IEEE Trans. Neural Netw. 16 (3), 679-691 (2005)
40. Hyvarinen, A.: Survey on independent component analysis. Neural Comput. Surv. 2 , 94-128
(1999)
41. Bell, A.J., Sejnowski, T.J.: An information-maximization approach to blind separation and
blind deconvolution. Neural Comput. 7 (6), 1129-1159 (1995)
42. Horel, J.D.: Complex principal component analysis: theory and examples. J. Clim. Appl. Mete-
orol. 23 , 1660-1673 (1984)
43. Jan, E.M., Visa, K.: Complex random vectors and ICA models: identifiability, uniqueness and
separability. IEEE Trans. Inf. Theory 52 (3), 596-609 (2006)
44. Adal, T., Kim, T., Calhoun, V.: Independent component analysis by complex nonlinearities. In:
Proceedings of International Conference on Acoustics Speech Signal Process, Montreal, ON,
Canada, May 2004, vol. 5, pp. 525-528 (2004)
45. Huang, N.E.: Introduction to Hilbert-Huang transform and its associated mathematical prob-
lems. In: Huang, N.E., Attoh-Okine, N. (eds.) Hilbert-Huang Transform in Engineering, pp.
1-32. CRC Press, New York ( 2005)
46. Amores, J., Sebe, N., Radeva, D.P.: Boosting the distance estimation: application to the K-
nearest neighbor classifier. Pattern Recogn. Lett. 27 , 201 (2006)
47. Lawrence, S., Lee, G.C., Ah, C.T., Andrew, D.B.: Face recognition: a convolutional neural net-
work approach. IEEE Trans. Neural Netw. 8 , 98-113 (1997). (special issue on neural networks
and pattern recognition)
48. Oh, B.J.: Face recognition by using neural network classifiers based on PCA and LDA. In:
Proceedings of IEEE International Conference on Systems, Man and Cybernetics, pp. 1699-
1703, 10-12 Oct 2005
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