Orthogonal algorithm for minor and principal subspace extraction
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K. Abed-Meraim | A. Chkeif | Y. Hua | Y. Hua | K. Abed-Meraim | A. Chkeif
[1] Bin Yang,et al. Projection approximation subspace tracking , 1995, IEEE Trans. Signal Process..
[2] S. Amari,et al. A self-stabilized minor subspace rule , 1998, IEEE Signal Processing Letters.
[3] Z. Yosimura,et al. Universal coefficient sequences for cohomology theories of CW-spectra. II , 1975 .
[4] E. Oja,et al. On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix , 1985 .
[5] Erkki Oja,et al. Principal components, minor components, and linear neural networks , 1992, Neural Networks.
[6] Qin Lin,et al. A unified algorithm for principal and minor components extraction , 1998, Neural Networks.
[7] John B. Moore,et al. Global analysis of Oja's flow for neural networks , 1994, IEEE Trans. Neural Networks.
[8] Victor Solo,et al. Performance analysis of adaptive eigenanalysis algorithms , 1998, IEEE Trans. Signal Process..
[9] Lawrence Markus,et al. Global stability criteria for differential systems. , 1960 .
[10] K. Abed-Meraim,et al. Natural power method for fast subspace tracking , 1999, Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468).
[11] Wei-Yong Yan,et al. Global convergence of Oja's subspace algorithm for principal component extraction , 1998, IEEE Trans. Neural Networks.