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#	Item
181	Revisit of Monte Carlo Methods on Solving LargeScale Linear Systems YAOHANG LI, PH.D. DEPARTMENT OF COMPUTER SCIENCE OLD DOMINION UNIVERSITY Add to Reading List Source URL: math.nist.gov Language: English - Date: 2014-11-05 16:44:51 Matrix theory Numerical linear algebra Matrix Krylov subspace Eigenvalues and eigenvectors John von Neumann Determinant Singular value decomposition Eigendecomposition of a matrix Algebra Mathematics Linear algebra
182	Graduate Seminar Online Robust PCA or Online Sparse + Low-Rank Matrix Recovery Dr. Namrata Vaswani Associate Professor, Add to Reading List Source URL: www.ece.cmu.edu Language: English - Date: 2015-02-25 02:10:41 Multivariate statistics Singular value decomposition Signal processing Data analysis Principal component analysis Sparse matrix Compressed sensing Subspace Vector space Algebra Mathematics Linear algebra
183	Noname manuscript No. (will be inserted by the editor) An optimal subgradient algorithm with subspace search for costly convex optimization problems Masoud Ahookhosh · Arnold Neumaier Add to Reading List Source URL: www.mat.univie.ac.at Language: English - Date: 2015-04-01 13:26:40 Convex optimization Operations research Subgradient method Convex function Conjugate gradient method Lipschitz continuity Subderivative Mathematical optimization Mathematical analysis Convex analysis
184	➠ ➡ IMPROVED COVARIANCE MODELING FOR MAXIMUM LIKELIHOOD MULTIPLE SUBSPACE TRANSFORMATIONS Xi Zhou1, Ye Tian2, Jian-lai Zhou2, Bei-qian Dai1 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-08-10 10:41:28 Data analysis Matrices Estimation theory Covariance matrix Linear discriminant analysis Covariance Normal distribution Matrix Maximum likelihood Statistics Covariance and correlation Multivariate statistics
185	Massively parallel linear stability analysis with P ARPACK for 3D uid ow modeled with MPSalsa? R.B. Lehoucq1 and A. G. Salinger1 Sandia National Laboratories?? P.O. Box 5800, MS 1110 Add to Reading List Source URL: www.cs.sandia.gov Language: English - Date: 2001-12-20 15:48:34 Mathematics Arnoldi iteration Generalized minimal residual method Krylov subspace Eigenvalue algorithm Eigenvalues and eigenvectors Iterative method Matrix ARPACK Algebra Numerical linear algebra Linear algebra
186	Large Scale Eigenvalue Calculations for Computing the Stability of Buoyancy Driven Flows E. A. Burroughs†‡ , L. A. Romero† , R. B. Lehoucq† , and A. G. Salinger† † Sandia National Laboratories, Albuquerque N Add to Reading List Source URL: www.cs.sandia.gov Language: English - Date: 2001-12-20 15:48:33 Numerical analysis Arnoldi iteration Eigenvalue algorithm Eigenvalues and eigenvectors Partial differential equation Preconditioner Fluid dynamics Krylov subspace Navier–Stokes equations Mathematics Algebra Numerical linear algebra
187	Robust background subtraction using geodesic active contours in ICA subspace for video surveillance applications Hicham Sekkati University of Ottawa, VIVA Research LAB Ottawa, Canada Email: Add to Reading List Source URL: www.site.uottawa.ca Language: English - Date: 2012-03-19 14:07:26 Segmentation Thresholding Differential geometry of curves Geodesic Statistics Image processing Independent component analysis
188	Complexity Classes in the Two-dimensional Life Cellular Automata Subspace Michael Magnier Claude Lattaud Laboratoire d’Intelligence Artificielle de Paris V, Add to Reading List Source URL: www.complex-systems.com Language: English - Date: 2012-09-20 14:36:17 Physics Chaos theory Dynamical system Phase transition Nature Structure Rule 184 Rule 30 Cellular automaton Systems theory Cellular automata
189	Novel interpretation of contour integral spectral projection methods for solving generalized eigenvalue problems ⋆ Akira Imakura⋆,⋆ , Lei Du⋆,† , Tetsuya Sakurai⋆,† Add to Reading List Source URL: www.cs.tsukuba.ac.jp Language: English - Date: 2013-10-23 09:05:22 Numerical linear algebra Eigenvalue algorithm Eigenvalues and eigenvectors Lanczos algorithm Projection Krylov subspace Matrix Methods of contour integration Integral Algebra Linear algebra Mathematics
190	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

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