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Singular value
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#	Item
111	Spectral Graph Theory Lecture 21 Spectral Partitiong in a Stochastic Block Model Daniel A. Spielman Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2015-12-08 15:18:03 Matrix theory Linear algebra Numerical linear algebra Matrices Singular value decomposition Eigenvalues and eigenvectors Graph partition Matrix Symmetric matrix Eigendecomposition of a matrix PerronFrobenius theorem
112	A General Collaborative Filtering Framework based on Matrix Bordered Block Diagonal Forms Yongfeng Zhang, Min Zhang, Yiqun Liu, Shaoping Ma State Key Laboratory of Intelligent Technology and Systems Department of Compute Add to Reading List Source URL: yongfeng.me Language: English - Date: 2015-03-02 08:17:50 Recommender systems Matrix theory Linear algebra Sparse matrices Multivariate statistics Non-negative matrix factorization Collaborative filtering GroupLens Research MovieLens Singular value decomposition Graph partition Matrix decomposition
113	MLPNP - A REAL-TIME MAXIMUM LIKELIHOOD SOLUTION TO THE PERSPECTIVE-N-POINT PROBLEM S. Urban, J.Leitloff, S.Hinz Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology Karlsruhe Englerstr. 7, 76 Add to Reading List Source URL: www.ipf.kit.edu Language: English - Date: 2016-05-09 02:33:50 Covariance and correlation Linear algebra Matrix theory Perspective-n-Point Science of photography Covariance Quaternion Camera resectioning Singular value decomposition Matrix Camera matrix Eigenvalues and eigenvectors
114	Capricorn: An Algorithm for Subtropical Matrix Factorization Sanjar Karaev∗ Abstract Max-times algebra, sometimes known as subtropical algebra, is a semi-ring over the nonnegative real numbers where the addition operat Add to Reading List Source URL: people.mpi-inf.mpg.de Language: English - Date: 2016-02-26 07:28:32 Matrix theory Linear algebra Numerical linear algebra Multivariate statistics Non-negative matrix factorization Matrix Singular value decomposition Rank Block matrix Low-rank approximation
115	A Quadratically Convergent Algorithm for Structured Low-Rank Approximation ´ Eric Schost1 and Pierre-Jean Spaenlehauer2 1 Add to Reading List Source URL: www.csd.uwo.ca Language: English - Date: 2014-04-26 00:03:25 Numerical linear algebra Linear algebra Matrix theory Functional analysis Matrices Low-rank approximation Singular value decomposition Matrix MoorePenrose pseudoinverse Kernel Projection Linear map
116	1 Tensor Completion for Estimating Missing Values in Visual Data Ji Liu, Przemyslaw Musialski, Peter Wonka, and Jieping Ye Abstract—In this paper we propose an algorithm to estimate missing values in tensors of visual Add to Reading List Source URL: peterwonka.net Language: English - Date: 2012-05-28 11:12:59 Linear algebra Matrix theory Tensors Mathematical optimization Numerical linear algebra Matrix completion Tensor rank decomposition Low-rank approximation Singular value decomposition Matrix Tensor Semidefinite programming
117	From SIAM News, Volume 39, Number 8, OctoberBridging the Gap Between Numerical Linear Algebra, Theoretical Computer Science, and Data Applications By Gene H. Golub, Michael W. Mahoney, Petros Drineas, and Lek-Heng Add to Reading List Source URL: mmds-data.org Language: English - Date: 2013-11-17 17:36:47 Matrix theory Linear algebra Numerical linear algebra Multivariate statistics Multilinear algebra Higher-order singular value decomposition Non-negative matrix factorization Singular value decomposition Tensor Matrix Rank Orthogonal matrix
118	Incremental Learning for Visual Tracking † Jongwoo Lim† David Ross‡ Ruei-Sung Lin† Ming-Hsuan Yang∗ University of Illinois ‡ University of Toronto ∗ Honda Research Institute Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2005-01-07 15:34:20 Linear algebra Matrix theory Computer vision Functional analysis Numerical linear algebra Singular value decomposition Condensation algorithm Eigenvalues and eigenvectors Video tracking Principal component analysis Outline of object recognition Normal distribution
119	Locally-biased analytics You have BIG data and want to analyze a small part of it: Add to Reading List Source URL: mmds-data.org Language: English - Date: 2014-06-17 02:28:22 Matrix theory Linear algebra Singular value decomposition Abstract algebra Eigenvalues and eigenvectors Graph partition PageRank Image segmentation
120	CUR Factorization via Discrete Empirical Interpolation Dan Sorensen Rice University Mark Embree Add to Reading List Source URL: mmds-data.org Language: English - Date: 2014-06-19 18:56:04 Linear algebra Functional analysis Numerical linear algebra Operator theory Multivariate statistics Singular value decomposition Principal component analysis Linear subspace Rank Multivariate normal distribution Singular value Distribution

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