(2D)2PCA-ICA: A new approach for face representation and recognition
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[1] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[2] Jian Yang,et al. Two-dimensional PCA: a new approach to appearance-based face representation and recognition , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Erkki Oja,et al. Independent component analysis: algorithms and applications , 2000, Neural Networks.
[4] Daoqiang Zhang,et al. (2D)2PCA: Two-directional two-dimensional PCA for efficient face representation and recognition , 2005, Neurocomputing.
[5] Marian Stewart Bartlett,et al. Face recognition by independent component analysis , 2002, IEEE Trans. Neural Networks.
[6] J. Cardoso. Infomax and maximum likelihood for blind source separation , 1997, IEEE Signal Processing Letters.
[7] D. Chakrabarti,et al. A fast fixed - point algorithm for independent component analysis , 1997 .
[8] L Sirovich,et al. Low-dimensional procedure for the characterization of human faces. , 1987, Journal of the Optical Society of America. A, Optics and image science.
[9] Aapo Hyvärinen,et al. Survey on Independent Component Analysis , 1999 .
[10] Terrence J. Sejnowski,et al. The “independent components” of natural scenes are edge filters , 1997, Vision Research.
[11] Issam Dagher,et al. Face recognition using IPCA-ICA algorithm , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Daoqiang Zhang,et al. Representing Image Matrices: Eigenimages Versus Eigenvectors , 2005, ISNN.
[13] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.
[14] Lawrence Sirovich,et al. Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[15] Joseph J. Atick,et al. What Does the Retina Know about Natural Scenes? , 1992, Neural Computation.
[16] Terrence J. Sejnowski,et al. Unsupervised Learning , 2018, Encyclopedia of GIS.
[17] Chengjun Liu,et al. Gabor-based kernel PCA with fractional power polynomial models for face recognition , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Daoqiang Zhang,et al. Representing Image Matrices : Eigenimages vs . Eigenvectors , 2005 .
[19] T. Ens,et al. Blind signal separation : statistical principles , 1998 .
[20] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.