Low-rank approximation - PDFSEARCH.IO - Document Search Engine

Low-rank approximation
Results: 47

#	Item
11	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
12	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
13	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
14	Approximation Algorithms for Single and Multi-Commodity Connected Facility Location Fabrizio Grandoni1 and Thomas Rothvoß2 1 Add to Reading List Source URL: www.math.washington.edu Language: English - Date: 2013-11-01 17:11:52 Computational complexity theory Operations research Facility location problem Steiner tree problem Shortest path problem Approximation algorithm Low-rank approximation
15	JMLR: Workshop and Conference Proceedings vol 40:1–28, 2015 Fast Exact Matrix Completion with Finite Samples Prateek Jain PRAJAIN @ MICROSOFT. COM Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:36 Matrix theory Numerical linear algebra Functional analysis Matrix completion Operator theory NC Low-rank approximation Singular value decomposition Matrix Differential forms on a Riemann surface Spectral theory of ordinary differential equations
16	Fast Randomized Kernel Ridge Regression with Statistical Guarantees∗ Ahmed El Alaoui † Michael W. Mahoney ‡ † Electrical Engineering and Computer Sciences ‡ Statistics and International Computer Science Institu Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2015-12-28 17:50:04 Algebra Linear algebra Mathematics Matrix theory Numerical linear algebra Functional analysis Mathematical physics Normal distribution Low-rank approximation Eigendecomposition of a matrix Eigenvalues and eigenvectors Matrix
17	Article pubs.acs.org/ac Identifying Important Ions and Positions in Mass Spectrometry Imaging Data Using CUR Matrix Decompositions Jiyan Yang,† Oliver Rübel,‡ Prabhat,‡ Michael W. Mahoney,§ and Benjamin P. Bowen Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2015-05-05 14:55:38 Matrix theory Linear algebra Numerical linear algebra Multivariate statistics Dimension reduction Singular value decomposition Non-negative matrix factorization Matrix decomposition Principal component analysis Low-rank approximation Mass spectrometry Rank
18	Structural properties underlying high-quality Randomized Numerical Linear Algebra algorithms Michael W. Mahoney ∗ Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2016-03-03 02:50:08 Numerical linear algebra Matrix Principal component analysis Orthogonal matrix Gaussian elimination Singular value decomposition Low-rank approximation MoorePenrose pseudoinverse QR decomposition QR algorithm Matrix completion Linear least squares
19	TENSOR RANK AND THE ILL-POSEDNESS OF THE BEST LOW-RANK APPROXIMATION PROBLEM VIN DE SILVA∗ AND LEK-HENG LIM† Abstract. There has been continued interest in seeking a theorem describing optimal low-rank approximations Add to Reading List Source URL: pages.pomona.edu Language: English
20	Low Rank Approximation and Regression in Input Sparsity Time David Woodruff IBM Almaden Joint work with Ken Clarkson (IBM Almaden) Add to Reading List Source URL: ls2-www.cs.uni-dortmund.de Language: English - Date: 2012-09-17 03:48:47

UPDATE