CRD: Fast Co-clustering on Large Datasets Utilizing Sampling-Based Matrix Decomposition Feng Pan, Xiang Zhang, and Wei Wang Dept. of Computer Science, University of North Carolina at Chapel Hill Chapel Hill, NC, US

Source URL: web.cs.ucla.edu

Greedy algorithm for large scale Nonnegative matrix/tensor decomposition ✦

Source URL: qingqinghuang.github.io

When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? David Donoho Department of Statistics Stanford University

Source URL: www.stanford.edu

CS168: The Modern Algorithmic Toolbox Lecture #9: The Singular Value Decomposition (SVD) and Low-Rank Matrix Approximations Tim Roughgarden & Gregory Valiant∗ April 25, 2016

Source URL: theory.stanford.edu

Laboratoire de l’Informatique du Parallélisme École Normale Supérieure de Lyon Unité Mixte de Recherche CNRS-INRIA-ENS LYON-UCBL no 5668 LSP Matrix Decomposition Revisited

Source URL: www.ens-lyon.fr

Spectral Graph Theory and Applications WSProblem Set 1 Due: Nov. 25

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

• Algebra
• Mathematics
• Graph theory
• Matrix theory
• Algebraic graph theory
• Linear algebra
• Eigenvalues and eigenvectors
• Singular value decomposition
• Laplacian matrix
• PerronFrobenius theorem
• Lovsz number

SPECTRAL ANALYSIS OF NON-HERMITIAN MATRICES MATHEMATICAL PHYSICS 2010 MATTHEW COUDRON, AMALIA CULIUC, PHILIP VU, STEPHEN WEBSTER

Source URL: sites.williams.edu

• Algebra
• Linear algebra
• Mathematics
• Matrices
• Matrix theory
• Singular value decomposition
• Mathematical physics
• Matrix
• Hermitian matrix
• Eigenvalues and eigenvectors
• Diagonalizable matrix
• Diagonal matrix

To appear in Neural Computation Methods for Binary Multidimensional Scaling Douglas L. T. Rohde School of Computer Science, Carnegie Mellon University, and the Center for the Neural Basis of Cognition

Source URL: tedlab.mit.edu

• Algebra
• Mathematics
• Linear algebra
• Vectors
• Multivariate statistics
• Matrix theory
• Abstract algebra
• Multidimensional scaling
• Singular value decomposition
• Euclidean vector
• Principal component analysis
• Latent semantic analysis

Leverage scores Petros Drineas Rensselaer Polytechnic Institute Computer Science Department To access my web page:

Source URL: mmds-data.org

• Algebra
• Linear algebra
• Mathematics
• Numerical linear algebra
• Matrix theory
• Regression analysis
• Least squares
• Singular value decomposition
• QR decomposition
• Matrix
• Rank
• Singular value

Christiano FINC 520, Spring 2007 Homework 1, due Monday, AprilProve: P [Y1 + Y2 |X] = P [Y1 |X] + P [Y2 |X] ,

Source URL: faculty.wcas.northwestern.edu

• Algebra
• Mathematics
• Mathematical analysis
• Matrix theory
• Linear algebra
• Markov processes
• Eigenvalues and eigenvectors
• Singular value decomposition
• Markov chain
• Distribution
• XT
• Matrix