Feature extraction approaches based on matrix pattern

Principle component analysis (PCA) and Fisher linear discriminant analysis (FLDA), as two popular feature extraction approaches in Pattern recognition and data analysis, extract so-needed features ...

[1]  Zi-Quan Hong,et al.  Algebraic feature extraction of image for recognition , 1991, Pattern Recognit..

[2]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Alejandro F. Frangi,et al.  Two-dimensional PCA: a new approach to appearance-based face representation and recognition , 2004 .

[4]  Tomaso Poggio,et al.  Image Representations for Visual Learning , 1996, Science.

[5]  R. Tibshirani,et al.  Penalized Discriminant Analysis , 1995 .

[6]  Martin Vetterli,et al.  Fast Fourier transforms: a tutorial review and a state of the art , 1990 .

[7]  B. Scholkopf,et al.  Fisher discriminant analysis with kernels , 1999, Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468).

[8]  R. R. Clarke.  Transform coding of images , 1985 .

[9]  G. McLachlan.  Discriminant Analysis and Statistical Pattern Recognition , 1992 .

[10]  J. Friedman.  Exploratory Projection Pursuit , 1987 .

[11]  Jian Yang,et al.  From image vector to matrix: a straightforward image projection technique - IMPCA vs. PCA , 2002, Pattern Recognit..

[12]  George Loizou,et al.  The Nearest Neighbor and the Bayes Error Rates , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[13]  Jing-Yu Yang,et al.  Algebraic feature extraction for image recognition based on an optimal discriminant criterion , 1993, Pattern Recognit..

[14]  Tieniu Tan,et al.  Do singular values contain adequate information for face recognition? , 2003, Pattern Recognit..

[15]  Bernhard Schölkopf,et al.  Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.

[16]  Shingo Tomita,et al.  An optimal orthonormal system for discriminant analysis , 1985, Pattern Recognit..

[17]  Keinosuke Fukunaga,et al.  Introduction to Statistical Pattern Recognition , 1972 .