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Eigenvalues and eigenvectors
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#	Item
441	Fast Multiple-View L2 Triangulation with Occlusion Handling G. Chesi∗ and Y. S. Hung Department of Electrical and Electronic Engineering University of Hong Kong Pokfulam Road, Hong Kong Add to Reading List Source URL: www.eee.hku.hk Language: English - Date: 2010-11-03 18:49:48 Projection Triangulation Eigenvalues and eigenvectors Algebra Mathematics Matrix
442	PDF Document Add to Reading List Source URL: math.agrocampus-ouest.fr Language: English - Date: 2011-12-19 09:53:33 Educational psychology Psychometrics Singular value decomposition Factor analysis Market research Eigenvalues and eigenvectors Analysis Matrix Bootstrapping Statistics Algebra Multivariate statistics
443	PDF Document Add to Reading List Source URL: www.cl.cam.ac.uk Language: English - Date: 2012-01-13 08:10:43 Matrix Restricted isometry property Orthogonal matrix Eigenvalues and eigenvectors Singular value decomposition Projection Rank Basis Compressed sensing Algebra Mathematics Linear algebra
444	PDF Document Add to Reading List Source URL: www.narrabri.atnf.csiro.au Language: English - Date: 2010-03-06 23:05:17 Abstract algebra Matrix theory Singular value decomposition Beamforming Sonar Eigenvalues and eigenvectors Matrix Vector space Quadratic form Algebra Mathematics Linear algebra
445	PDF Document Add to Reading List Source URL: www.spatial-statistics.com Language: English - Date: 2000-09-03 13:48:02 Matrix theory M-estimators Singular value decomposition Matrix Maximum likelihood Idempotent matrix Covariance Spatial analysis Eigenvalues and eigenvectors Statistics Estimation theory Econometrics
446	Study of Solvability and Numerical Solution of a Non-linear Risk Theory Problem V. Agoshkov, A. Zayachkovskiy Institute of Numerical Mathematics Russian Academy of Sciences Add to Reading List Source URL: www.merikotka.fi Language: English - Date: 2014-02-27 09:09:47 Abstract algebra Eigenvalues and eigenvectors Matrix theory Singular value decomposition Algebra Mathematics Linear algebra
447	Local Multidimensional Scaling for Nonlinear Dimension Reduction, Graph Drawing, and Proximity Analysis Lisha CHEN and Andreas BUJA In the past decade there has been a resurgence of interest in nonlinear dimension reduct Add to Reading List Source URL: stat.wharton.upenn.edu Language: English - Date: 2009-03-31 11:10:19 Nonlinear dimensionality reduction Multidimensional scaling Dimension reduction Principal component analysis Force-based algorithms Kernel principal component analysis Configuration Eigenvalues and eigenvectors K9 Statistics Multivariate statistics Isomap
448	Math 2010: Linear Algebra Syllabus Main Bio Research Teaching Links Calendar David Shea Vela-Vick   email: shea@math   office: Rm 609   office phone:   office hours: Mon: 11::00 Fri: 8:45 - 9: Add to Reading List Source URL: www.earthinstitute.columbia.edu Language: English - Date: 2012-03-26 16:58:31 Abstract algebra Matrices Matrix theory Homework Eigenvalues and eigenvectors Matrix Symmetric matrix Academic dishonesty Vector space Algebra Linear algebra Mathematics
449	Running a Correspondence Analysis (CA) from a contingency table with XLSTAT demoCA.xls Dataset for running a Correspondence Analysis An Excel sheet with both the data and the results can be downloaded by clicking here. Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2011-11-17 10:32:26 Singular value decomposition Principal component analysis Multiple correspondence analysis XLSTAT Microsoft Excel Correspondence analysis Contingency table Pivot table Eigenvalues and eigenvectors Statistics Data analysis Multivariate statistics
450	Running a Principal Component Analysis (PCA) with XLSTAT demoPCA.xls Dataset for running a Principal Component Analysis An Excel sheet containing both the data and the results for use in this tutorial can be downloaded Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2011-11-17 10:33:22 Data analysis Singular value decomposition Principal component analysis Econometrics XLSTAT Eigenvalues and eigenvectors Regression analysis Biplot Variance Statistics Algebra Multivariate statistics

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