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Eigenvalues and eigenvectors
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#	Item
751	Applied Combinatorics on Words Corrections and Complements November 28, 2013 This file contains corrections and complements to the book. All references are to the printed version. 1 Algorithms on Words Add to Reading List Source URL: www-igm.univ-mlv.fr Language: English - Date: 2013-11-28 12:52:59 Linear algebra Singular value decomposition Markov processes Eigenvalues and eigenvectors Markov chain Matrix Perron–Frobenius theorem Metzler matrix Algebra Mathematics Matrix theory
752	matrix identities sam roweis (revised June[removed]note that a,b,c and A,B,C do not depend on X,Y,x,y or z 0.1 Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2009-10-06 18:54:29 Matrix theory Matrices Abstract algebra Matrix Trace Determinant Invertible matrix Vector space Eigenvalues and eigenvectors Algebra Mathematics Linear algebra
753	SEC[removed]INTRODUCTION Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 19:07:28 Matrices Matrix theory Quadratic forms Real algebraic geometry Positive-definite matrix Matrix Eigenvalues and eigenvectors Orthogonal matrix Symmetric matrix Algebra Mathematics Linear algebra
754	Efficient Computation of PageRank Taher H. Haveliwala∗ Stanford University [removed] October 18, 1999 Abstract Add to Reading List Source URL: www-cs-students.stanford.edu Language: English - Date: 2005-12-29 14:58:32 Markov models Search engine optimization Crowdsourcing PageRank Reputation management Google Search Webgraph Fixed point Eigenvalues and eigenvectors Algebra Link analysis Mathematics
755	Coastal Characterization Using EO-1 Hyperion Data Dr. Hsiao-hua K. Burke MIT Lincoln Laboratory EO-1 SVT Meeting[removed]November 2002 Add to Reading List Source URL: www.eoc.csiro.au Language: English - Date: 2002-12-15 23:27:20 Multivariate statistics Data analysis Singular value decomposition Linear algebra Matrix theory Principal component analysis Covariance matrix Eigenvalues and eigenvectors Dimension reduction Algebra Statistics Mathematics
756	Semi-Supervised Learning with the Graph Laplacian: The Limit of Infinite Unlabelled Data Boaz Nadler Dept. of Computer Science and Applied Mathematics Weizmann Institute of Science Rehovot, Israel 76100 Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2009-11-01 04:44:55 Linear algebra Operator theory Fourier analysis Algebraic graph theory Laplacian matrix matrices Eigenvalues and eigenvectors Hilbert space Supervised learning Algebra Mathematical analysis Mathematics
757	Semi-supervised Eigenvectors for Locally-biased Learning Michael W. Mahoney Department of Mathematics Stanford University Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2013-02-21 23:42:47 Matrix theory Singular value decomposition Multivariate statistics Eigenvalues and eigenvectors Graph partition Generalized eigenvector Dimension reduction Matrix Eigendecomposition of a matrix Algebra Mathematics Linear algebra
758	Advances in Computational Mathematics–18 1 Curvature Integrability of Subdivision Surfaces Ulrich Reif a Peter Schr¨oder b Add to Reading List Source URL: multires.caltech.edu Language: English - Date: 2006-06-13 11:27:24 Mathematics Computer graphics Subdivision surface Catmull–Clark subdivision surface Differential geometry of surfaces 3D modeling Edwin Catmull Eigenvalues and eigenvectors Principal curvature 3D computer graphics Multivariate interpolation Algebra
759	Computer Networks–2067 Contents lists available at SciVerse ScienceDirect Computer Networks journal homepage: www.elsevier.com/locate/comnet Add to Reading List Source URL: web.media.mit.edu Language: English - Date: 2015-03-29 18:28:43 Matrix theory Singular value decomposition Multivariate statistics Numerical linear algebra Principal component analysis Matrix Eigenvalues and eigenvectors Rank Sparse matrix Algebra Linear algebra Mathematics
760	Math 19b: Linear Algebra with Probability Oliver Knill, Spring 2011 Lecture 34: Perron Frobenius theorem This is a second lecture on Markov processes. We want to see why the following result is true: Add to Reading List Source URL: www.math.harvard.edu Language: English - Date: 2015-03-25 09:01:03 Matrix theory Matrices Markov models Mathematical physics Google matrix Perron–Frobenius theorem Matrix Eigenvalues and eigenvectors Adjacency matrix Algebra Linear algebra Mathematics

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