Low-rank incremental methods for computing dominant singular subspaces☆
暂无分享,去创建一个
[1] Matthew Brand,et al. Incremental Singular Value Decomposition of Uncertain Data with Missing Values , 2002, ECCV.
[2] L. Sirovich. Empirical Eigenfunctions and Low Dimensional Systems , 1991 .
[3] Danny C. Sorensen,et al. A Symmetry Preserving Singular Value Decomposition , 2006, SIAM J. Matrix Anal. Appl..
[4] Z. Drmač,et al. A new stable bidiagonal reduction algorithm , 2005 .
[5] L. Sirovich. Turbulence and the dynamics of coherent structures. I. Coherent structures , 1987 .
[6] 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.
[7] Christopher Grover Baker. Block Incremental Algorithm for Computing Dominant Singular Subspaces , 2004 .
[8] J. Bunch,et al. Updating the singular value decomposition , 1978 .
[9] Michael Lindenbaum,et al. Sequential Karhunen-Loeve basis extraction and its application to images , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).
[10] G. Stewart. Matrix Algorithms, Volume II: Eigensystems , 2001 .
[11] Petros Drineas,et al. Fast Monte Carlo Algorithms for Matrices III: Computing a Compressed Approximate Matrix Decomposition , 2006, SIAM J. Comput..
[12] Lars Elden,et al. Matrix methods in data mining and pattern recognition , 2007, Fundamentals of algorithms.
[13] G. W. Stewart,et al. Matrix Algorithms: Volume 1, Basic Decompositions , 1998 .
[14] Michiel E. Hochstenbach,et al. A Jacobi-Davidson Type SVD Method , 2001, SIAM J. Sci. Comput..
[15] Chao Yang,et al. ARPACK users' guide - solution of large-scale eigenvalue problems with implicitly restarted Arnoldi methods , 1998, Software, environments, tools.
[16] B. S. Manjunath,et al. An Eigenspace Update Algorithm for Image Analysis , 1997, CVGIP Graph. Model. Image Process..
[17] Paul Van Dooren,et al. Recursive Calculation of Dominant Singular Subspaces , 2003, SIAM J. Matrix Anal. Appl..
[18] Andy Harter,et al. Parameterisation of a stochastic model for human face identification , 1994, Proceedings of 1994 IEEE Workshop on Applications of Computer Vision.
[19] G. Stewart,et al. Matrix Perturbation Theory , 1990 .
[20] Ricardo C. H. del Rosario,et al. Proper orthogonal decomposition-based control of transverse beam vibrations: experimental implementation , 2002, IEEE Trans. Control. Syst. Technol..
[21] Gene H. Golub,et al. Matrix computations , 1983 .
[22] Matthew Brand,et al. Fast Online SVD Revisions for Lightweight Recommender Systems , 2003, SDM.
[23] Robert E. Mahony,et al. Optimization Algorithms on Matrix Manifolds , 2007 .
[24] Jang-Gyu Lee,et al. On updating the singular value decomposition , 1996, Proceedings of International Conference on Communication Technology. ICCT '96.
[25] Paul Van Dooren,et al. An incremental method for computing dominant singular spaces , 2001 .
[26] M. Brand,et al. Fast low-rank modifications of the thin singular value decomposition , 2006 .
[27] Christian H. Bischof,et al. The WY representation for products of householder matrices , 1985, PPSC.
[28] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[29] C. Loan,et al. A Storage-Efficient $WY$ Representation for Products of Householder Transformations , 1989 .
[30] P. Holmes,et al. The Proper Orthogonal Decomposition in the Analysis of Turbulent Flows , 1993 .
[31] Michael J. O'Hara. On Low-Rank Updates to the Singular Value and Tucker Decompositions , 2010, SDM.
[32] Ke Wang,et al. Proceedings of the SIAM International Conference on Data Mining, SDM 2009, April 30 - May 2, 2009, Sparks, Nevada, USA , 2009, SDM.
[33] Hasan Erbay,et al. Modifiable low‐rank approximation to a matrix , 2009, Numer. Linear Algebra Appl..
[34] Lawrence Sirovich,et al. New Perspectives in Turbulence , 2011 .
[35] Pierre-Antoine Absil,et al. Trust-Region Methods on Riemannian Manifolds , 2007, Found. Comput. Math..
[36] John E. Dennis,et al. Numerical methods for unconstrained optimization and nonlinear equations , 1983, Prentice Hall series in computational mathematics.
[37] Allen A. Goldstein,et al. Constructive Real Analysis , 1967 .