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Eigenvalues and eigenvectors
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#	Item
661	694 Journal of the American Statistical Association, June 2009 Discussion Boaz NADLER Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2009-06-16 05:02:26 Data analysis Singular value decomposition Covariance and correlation Principal component analysis Linear algebra Eigenvalues and eigenvectors Covariance matrix Matrix Variance Statistics Algebra Multivariate statistics
662	PHYSICAL REVIEW B 76, 045114 共2007兲 Linear scaling time-dependent density-functional tight-binding method for absorption spectra of large systems Fan Wang, Chi Yung Yam, and GuanHua Chen* Department of Chemistry, Th Add to Reading List Source URL: yangtze.hku.hk Language: English - Date: 2010-12-19 08:35:07 Computational chemistry Quantum chemistry Theoretical chemistry Matrix theory Numerical linear algebra Matrix Time-dependent density functional theory Eigenvalues and eigenvectors Diagonalizable matrix Algebra Mathematics Linear algebra
663	On MMSE Properties and I-MMSE Implications in Parallel MIMO Gaussian Channels Ronit Bustin Dept. Electrical Engineering Technion−IIT Technion City, Haifa 32000 Add to Reading List Source URL: www.ece.ust.hk Language: English - Date: 2010-04-27 05:21:46 Control theory Matrix theory Singular value decomposition Linear algebra Data analysis Eigenvalues and eigenvectors Minimum mean square error State space Covariance matrix Algebra Statistics Mathematics
664	Ch.2 Principal component analysis (PCA) Books on PCA by Jolliffe (2002), Preisendorfer[removed]PCA also called empirical orthogonal function (EOF) analysis. 2.1 Geometric approach to PCA [Book, Sect[removed]Dataset with Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-08-25 01:58:52 Data analysis Singular value decomposition Covariance and correlation Multivariate statistics Linear algebra Principal component analysis Covariance Eigenvalues and eigenvectors Variance Statistics Algebra Mathematics
665	Data-Dependent Fairing of Subdivision Surfaces Ilja Friedel1 Caltech Patrick Mullen2 Microsoft Add to Reading List Source URL: www.multires.caltech.edu Language: English - Date: 2003-04-28 17:28:50 Linear algebra Matrix theory Functional analysis Eigenvalues and eigenvectors Singular value decomposition Calculus of variations Parametric surface Differential geometry of surfaces Distribution Algebra Mathematics Mathematical analysis
666	Learning Segmentation by Random Walks Marina Meila and Jianbo Shi Carnegie Mellon University fmmp,[removed] Abstract Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-01-20 23:30:45 Image processing Segmentation Multivariate statistics Computer vision Spectral clustering Eigenvalues and eigenvectors Random walk Cluster analysis Markov chain Statistics Mathematics Algebra
667	c 2005 Tech Science Press Copyright CMES, vol.8, no.1, pp.29-44, 2005 Eigenanalysis for Membranes with Stringers Using the Methods of Fundamental Add to Reading List Source URL: msvlab.hre.ntou.edu.tw Language: English - Date: 2007-10-16 02:18:00 Multivariable calculus Partial differential equation Helmholtz equation Eigenvalues and eigenvectors Dirac delta function Meshfree methods Mathematical analysis Mathematics Algebra
668	Concentric Tesselation Maps and Curvature Continuous Guided Surfaces K. Karˇciauskas and J. Peters October 23, 2006 Abstract A multi-sided hole in a surface can be filled by a sequence of nested, Add to Reading List Source URL: www.cise.ufl.edu Language: English - Date: 2006-10-30 16:27:17 Mathematical physics Abstract algebra Eigenvalues and eigenvectors Linear algebra Singular value decomposition Symbol Polynomial Spline Algebra Mathematics Interpolation
669	Principal component analysis (PCA) 2.6 Scaling the PCs and eigenvectors [Book, Sect[removed]Various options for scaling the PCs {aj (t)} and the eigenvectors {ej }. One can introduce an arbitrary scale factor α, aj0 = Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-08-20 18:42:54 Matrix theory Singular value decomposition Abstract algebra Data analysis Eigenvalues and eigenvectors Principal component analysis Matrix Covariance matrix Vector space Algebra Linear algebra Mathematics
670	Microsoft PowerPoint - Stability.ppt Add to Reading List Source URL: www.las-cad.com Language: English - Date: 2009-12-02 14:41:05 Linear algebra Ray transfer matrix analysis Matrix Laser Resonator Eigenvalues and eigenvectors Trace Optical cavity Algebra Mathematics Matrix theory

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