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Principal value
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#	Item
521	Sparse PCA: Concepts, Theory, and Algorithms Jing Lei, Department of Statistics, CMU U. Pitt. Biostat Department Seminar, Nov 7, 2013 Collaborators Vince Q. Vu, Stat. Dept. OSU Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-01-10 12:18:09 Multivariate statistics Singular value decomposition Data analysis Covariance and correlation Matrices Principal component analysis Covariance matrix Eigenvalues and eigenvectors Matrix Statistics Algebra Linear algebra
522	Fast Random Walk with Restart and its Applications Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-02-19 15:29:14 Numerical linear algebra Singular value decomposition Matrix theory NP-complete problems Graph partition Principal component analysis Eigenvalues and eigenvectors Latent semantic analysis Low-rank approximation Algebra Mathematics Linear algebra
523	Spectral Learning of Hidden Markov Models from Dynamic and Static Data Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2014-09-10 11:52:47 Markov models Functional analysis Multivariate statistics Numerical linear algebra Linear algebra Principal component analysis Expectation–maximization algorithm Singular value decomposition Markov chain Statistics Algebra Mathematics
524	Package ‘cvxclustr’ July 28, 2014 Maintainer Eric C. Chi Author Eric C. Chi, Kenneth Lange Version 1.1.1 License CC BY-NC-SA 4.0 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-28 02:28:27 Matrix theory Singular value decomposition Multivariate statistics Data analysis Matrix K-means clustering Eigenvalues and eigenvectors Principal component analysis Mixture model Algebra Mathematics Linear algebra
525	Empirical exercise: The demographic dimension of educational attainment In this empirical exercise we will benchmark Pakistan with respect to a group of comparator countries in terms of its educational attainment level. Add to Reading List Source URL: siteresources.worldbank.org Language: English - Date: 2010-02-16 13:23:12 Principal component analysis Singular value decomposition Education Plot Knowledge Cognition Multivariate statistics Data analysis Socioeconomics
526	Journal of Financial Economics[removed]–325 Extracting factors from heteroskedastic asset returns$ Christopher S. Jones* The William E. Simon Graduate School of Business Administration, University of Rochester, Add to Reading List Source URL: www.efalken.com Language: English - Date: 2009-11-29 21:38:47 Multivariate statistics Data analysis Singular value decomposition Heteroscedasticity Principal component analysis Factor analysis Variance Eigenvalues and eigenvectors Autocorrelation Statistics Time series analysis Econometrics
527	Appearance Matching with Partial Data ∗ Efstathios Hadjidemetriou and Shree K. Nayar Department of Computer Science Columbia University New York, NY[removed]Abstract Add to Reading List Source URL: www1.cs.columbia.edu Language: English - Date: 2005-07-11 11:03:15 Singular value decomposition Multivariate statistics Image processing Eigenface face recognition Principal component analysis Eigenvalues and eigenvectors Matrix Object recognition Algebra Computer vision Mathematics
528	Learning Compressed Sensing 1 Yair Weiss1,2 Hebrew University of Jerusalem [removed] Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2007-10-15 16:26:27 Data analysis Time series analysis Principal component analysis Singular value decomposition Independent component analysis Projection Covariance matrix Statistical signal processing Degrees of freedom Statistics Signal processing Multivariate statistics
529	Estimating Sparse Principal Components and Subspaces Jing Lei Department of Statistics, CMU Joint work with V. Q. Vu (OSU), J. Cho, and K. Rohe (U. of Wisc.) Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-01-10 12:18:10 Singular value decomposition Data analysis Multivariate statistics Matrix theory Principal component analysis Eigenvalues and eigenvectors Covariance matrix Matrix Projection Algebra Statistics Linear algebra
530	Transactions of the American Fisheries Society 138:487–496, 2009 Ó Copyright by the American Fisheries Society 2009 DOI: [removed]T08[removed]Article] Add to Reading List Source URL: www.fws.gov Language: English - Date: 2013-07-12 15:58:00 Fish Singular value decomposition Bioinformatics Data analysis Comparative anatomy Morphometrics Factor analysis Principal component analysis Perch Algebra Statistics Multivariate statistics

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