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Two-dimensional singular value decomposition
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#	Item
1	The Analysis of Two-Way Functional Data Using Two-Way Regularized Singular Value Decompositions Jianhua Z. Huang, Haipeng Shen and Andreas Buja Abstract Two-way functional data consist of a data matrix whose row and colu Add to Reading List Source URL: stat.wharton.upenn.edu Language: English - Date: 2010-01-25 12:10:32 Numerical linear algebra Singular value decomposition Functional analysis Matrix theory Principal component analysis Kernel Projection Smoothing spline Two-dimensional singular value decomposition Algebra Linear algebra Mathematics
2	29 Exercises ChapterData file 10p1.mat contains 100 data points drawn from the same two-dimensional distribution as those in figureFit a mixture Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2010-10-24 07:46:27 Statistical models Singular value decomposition Cluster analysis Normal distribution Principal component analysis Matrix Independent component analysis Factor analysis Variance Statistics Multivariate statistics Data analysis
3	Modeling two-dimensional anisotropic photonic crystals by Dirichlet-to-Neumann maps Huan Xie1,2,3,∗ and Ya Yan Lu3 1 Joint Add to Reading List Source URL: math.cityu.edu.hk Language: English - Date: 2009-05-22 08:22:47 Abstract algebra Matrix theory Physical quantities Eigenvalues and eigenvectors Singular value decomposition Dynamical system Eigenvalue algorithm Permittivity Vector space Algebra Mathematics Linear algebra
4	Data assimilation workshop 3D-Var exercise Prepared by Junjie Liu July 26th, Add to Reading List Source URL: www.jcsda.noaa.gov Language: English - Date: 2007-08-01 12:24:51 Estimation theory Bayesian statistics Algebra of random variables Covariance Data assimilation Variance Ensemble Kalman filter Two-dimensional singular value decomposition Statistics Covariance and correlation Data analysis
5	N-Dimensional Principal Component Analysis Hongchuan YU and Jian J. ZHANG NCCA, Bournemouth University Abstract In this paper, we first briefly introduce the multidimensional Principal Component Analysis (PCA) techniques Add to Reading List Source URL: eprints.bournemouth.ac.uk Language: English - Date: 2010-07-28 12:35:21 Singular value decomposition Multivariate statistics Matrix theory Functional analysis Principal component analysis Two-dimensional singular value decomposition Higher-order singular value decomposition Eigenvalues and eigenvectors Singular value Algebra Linear algebra Mathematics
6	Generalized Low Rank Approximations of Matrices Jieping Ye [removed] Department of Computer Science, University of Minnesota, Minneapolis, MN 55455, USA Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:29 Numerical linear algebra Singular value decomposition Matrix theory Functional analysis Matrix Rank Low-rank approximation Singular value Two-dimensional singular value decomposition Algebra Linear algebra Mathematics
7	The Analysis of Two-Way Functional Data Using Two-Way Regularized Singular Value Decompositions Jianhua Z. Huang, Haipeng Shen and Andreas Buja Abstract Two-way functional data consist of a data matrix whose row and colu Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2009-11-20 00:14:18 Numerical linear algebra Singular value decomposition Functional analysis Matrix theory Principal component analysis Kernel Projection Smoothing spline Two-dimensional singular value decomposition Algebra Linear algebra Mathematics
8	Two-Dimensional Singular Value Decomposition (2DSVD) for 2D Maps and Images Chris Ding∗ Add to Reading List Source URL: ranger.uta.edu Language: English - Date: 2009-01-06 16:06:52 Singular value decomposition Numerical linear algebra Matrix theory Matrices Two-dimensional singular value decomposition Principal component analysis QR decomposition Rank Orthogonal matrix Algebra Linear algebra Mathematics