Singular value decomposition

Results: 1706



#Item
31Algebra / Mathematics / Linear algebra / Matrix theory / Abstract algebra / Eigenvalues and eigenvectors / Singular value decomposition / Markov chain

Performance of Random Medium Access Control An asymptotic approach Charles Bordenave David McDonald

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Source URL: www.math.univ-toulouse.fr

Language: English - Date: 2008-04-07 07:55:53
32Algebra / Linear algebra / Mathematics / Numerical linear algebra / Matrix theory / MoorePenrose pseudoinverse / Singular value decomposition / Matrix / Rank / Equation solving / QR decomposition / Generalized inverse

Math 515 Fall, 2014 Homework 4, due Thursday, OctoberSuppose A ∈ Rm×n , m ≥ n, and rank(A) = n; that is, A has full rank. Consider the linear system: 

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Source URL: www.mathcs.emory.edu

Language: English - Date: 2014-10-02 08:46:56
33Algebra / Statistics / Mathematics / Regression analysis / Actuarial science / Estimation theory / Statistical models / Latent semantic analysis / Natural language processing / Singular value decomposition / Logit / Logistic regression

SVD Feature Selection for Probabilistic Taxonomy Learning Fallucchi Francesca Disp, University “Tor Vergata” Rome, Italy

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Source URL: art.uniroma2.it

Language: English - Date: 2013-05-28 06:48:51
34Graph theory / Mathematics / Algebra / Algebraic graph theory / Matrices / NP-complete problems / Eigenvalues and eigenvectors / Linear algebra / Singular value decomposition / Paley graph / Adjacency matrix / Matrix

Spectral Graph Theory Lecture 5 Rings, Paths, and Paley Graphs Daniel A. Spielman

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Source URL: www.cs.yale.edu

Language: English - Date: 2015-08-17 14:43:26
35Computer vision / Artificial intelligence / Algebra / Image search / Artificial intelligence applications / Natural language processing / Signal processing / Content-based image retrieval / Image retrieval / Singular value decomposition / Image fusion / Automatic image annotation

ISSN No: International Journal & Magazine of Engineering, Technology, Management and Research A Peer Reviewed Open Access International Journal

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Source URL: www.ijmetmr.com

Language: English - Date: 2015-07-13 09:04:34
36Algebra / Linear algebra / Mathematics / Numerical linear algebra / Matrix theory / Singular value decomposition / Dimension reduction / Matrix / Low-rank approximation / Singular value / Pointwise mutual information / Factorization

Neural Word Embedding as Implicit Matrix Factorization Omer Levy Department of Computer Science Bar-Ilan University

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Source URL: papers.nips.cc

Language: English - Date: 2014-12-02 20:43:40
37Algebra / Mathematics / Linear algebra / Multivariate statistics / Matrix theory / Tensors / Real algebraic geometry / Non-negative matrix factorization / Matrix / Higher-order singular value decomposition / Eigenvalues and eigenvectors / Principal component analysis

JMLR: Workshop and Conference Proceedings vol 40:1–51, 2015 Tensor principal component analysis via sum-of-squares proofs Sam Hopkins Jonathan Shi David Steurer

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Source URL: jmlr.org

Language: English - Date: 2015-07-20 20:08:36
38Algebra / Mathematics / Linear algebra / Matrix theory / Algebraic graph theory / Matrices / Eigenvalues and eigenvectors / Singular value decomposition / Laplacian matrix / Spectral graph theory / Adjacency matrix / Matrix

Spectral Graph Theory Lecture 2 The Laplacian Daniel A. Spielman

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Source URL: www.cs.yale.edu

Language: English - Date: 2012-08-24 09:50:05
39Algebra / Mathematics / Linear algebra / Matrix theory / Numerical linear algebra / Multivariate statistics / Dimension reduction / Non-negative matrix factorization / Matrix / Singular value decomposition / Principal component analysis / Factorization

A MDL4BMF: Minimum Description Length for Boolean Matrix Factorization PAULI MIETTINEN, Max-Planck Institute for Informatics JILLES VREEKEN, Max-Planck Institute for Informatics, Saarland University, University of Antwer

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Source URL: people.mpi-inf.mpg.de

Language: English - Date: 2014-05-09 10:45:37
40Algebra / Mathematics / Multivariate statistics / Numerical analysis / Dimension reduction / Iterative methods / Numerical linear algebra / Principal component analysis / Singular value decomposition / Stochastic optimization / Algorithm / Sparse dictionary learning

I will discuss recent work on randomized algorithms for low-rank approximation and principal component analysis (PCA). The talk will focus on efforts that move beyond the extremely fast, but relatively crude approximatio

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Source URL: mmds-data.org

Language: English - Date: 2016-06-23 15:50:48
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