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Singular distribution
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11	Improved Practical Matrix Sketching with Guarantees Mina Ghashami, Amey Desai, and Jeff M. Phillips ? Add to Reading List Source URL: www.cs.utah.edu Language: English - Date: 2014-09-21 18:47:34 Normal distribution Singular value decomposition Matrix Randomized algorithm Covariance Algebra Mathematics Numerical linear algebra
12	Optimized Product Quantization for Approximate Nearest Neighbor Search Tiezheng Ge1∗ 1 Kaiming He2 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2013-04-15 04:46:52 Information theory Quantum field theory Image processing Data compression Rate–distortion theory Vector quantization Singular value decomposition Quantization Normal distribution Mathematics Algebra Linear algebra
13	Are a set of microarrays independent of each other? Bradley Efron∗† Stanford University Abstract Having observed an m × n matrix X whose rows are possibly correlated, we wish to test the hypothesis that the columns Add to Reading List Source URL: statweb.stanford.edu Language: English - Date: 2008-10-31 15:20:23 Covariance and correlation Data analysis Matrix theory Matrices Multivariate normal distribution Correlation and dependence Covariance Matrix Singular value decomposition Algebra Statistics Linear algebra
14	119 TransportationResearchRecord 1807 Paper NoKevin J. Krizek and Paul Waddell Add to Reading List Source URL: kevinjkrizek.org Language: English - Date: 2012-04-26 15:36:32 Singular value decomposition Trip distribution Classical cipher Transportation planning Data analysis Principal component analysis
15	Diagonal and Low-Rank Decompositions and Fitting Ellipsoids to Random Points James Saunderson, Pablo A. Parrilo, Alan S. Willsky Abstract— Identifying a subspace containing signals of interest in additive noise is a ba Add to Reading List Source URL: www.mit.edu Language: English - Date: 2014-08-14 16:44:12 Singular value decomposition Matrix theory Operator theory Ellipsoid Positive-definite matrix Matrix Eigenvalues and eigenvectors Rank Normal distribution Algebra Mathematics Linear algebra
16	Fast Window Correlations Over Uncooperative Time Series ∗ Richard Cole Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2006-05-15 15:08:06 Algebra Discrete Fourier transform Bootstrapping Random variable Data mining Normal distribution Standard deviation Singular value decomposition Statistics Data analysis Mathematics
17	Deviating arguments, impulsive effects, and positive solutions for second order singular p-Laplacian equations Add to Reading List Source URL: www.advancesindifferenceequations.com Language: English Distribution Functional analysis Spectral theory of ordinary differential equations Wave equation Mathematical analysis Calculus Mathematics
18	IMSL(®) Fortran Numerical Library, VersionJanuaryrevised) This document contains release notes for IMSL Fortran Numerical Library, VersionThis document has the following parts: 1. Introduction Add to Reading List Source URL: docs.roguewave.com Language: English - Date: 2014-09-16 18:21:32 Numerical linear algebra Matrix theory Mathematical physics Normal distribution Fortran Singular value decomposition Cholesky decomposition Matrix Eigenvalues and eigenvectors Algebra Linear algebra Mathematics
19	Efficient Stochastic Methods: Profiled Attacks Beyond 8 Bits Marios O. Choudary and Markus G. Kuhn Computer Laboratory, University of Cambridge, Cambridge, UK {osc22,mgk25}@cl.cam.ac.uk Add to Reading List Source URL: www.cl.cam.ac.uk Language: English - Date: 2015-04-03 10:30:53 Multivariate statistics Linear algebra Singular value decomposition Data analysis Matrix theory Principal component analysis Linear discriminant analysis Eigenvalues and eigenvectors Multivariate normal distribution Algebra Statistics Mathematics
20	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

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