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Linear subspace
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71	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
72	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
73	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
74	This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Cross-lingual Subspace Gaussian Mixture Models for Low-reso Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2013-10-07 08:11:17 Markov models Regression analysis Automatic identification and data capture Speech recognition Hidden Markov model Mixture model Linear regression Maximum likelihood Conjugate prior Statistics Computational linguistics Estimation theory
75	Incomplete-LU and Cholesky Preconditioned Iterative Methods Using cuSPARSE and cuBLAS Add to Reading List Source URL: docs.nvidia.com Language: English - Date: 2015-02-18 15:11:46 Linear algebra Preconditioner Iterative method Biconjugate gradient stabilized method Conjugate gradient method Cholesky decomposition LU decomposition Sparse matrix Krylov subspace Numerical linear algebra Numerical analysis Algebra
76	COMMUNICATIONS IN COMPUTATIONAL PHYSICS Vol. 1, No. 1, ppCommun. Comput. Phys. February 2006 Add to Reading List Source URL: www.phy.cuhk.edu.hk Language: English - Date: 2006-04-28 22:43:01 Quantum chemistry Numerical linear algebra Theoretical physics Mathematical physics Density matrix renormalization group Hubbard model Krylov subspace Quantum Monte Carlo Heisenberg model Physics Algebra Statistical mechanics
77	Semi-supervised Subspace Learning and Application to Human Functional Magnetic Brain Resonance Imaging Data Eberhard Karls Universit¨at T¨ubingen Fakult¨at f¨ur Informations- und Kognitionswissenschaften Wilhelm-Schi Add to Reading List Source URL: www.kyb.tuebingen.mpg.de Language: English - Date: 2011-01-20 08:13:31 Regularization Supervised learning Overfitting Nonlinear dimensionality reduction Functional magnetic resonance imaging Training set Linear discriminant analysis Principal component analysis Dimension reduction Statistics Machine learning Multivariate statistics
78	CS 1173: MATLAB min function The min function returns the minimum value of the elements along an array dimension. B = min(A, [], dim) minimum elements Add to Reading List Source URL: www.cs.utsa.edu Language: English - Date: 2009-09-22 20:25:08 Linear algebra Abstract algebra Dimension Vectors Array data type Array programming MATLAB Euclidean subspace Algebra Mathematics Software
79	Pattern-Guided k-Anonymity Add to Reading List Source URL: fpt.akt.tu-berlin.de Language: English - Date: 2013-10-21 04:21:43 Matrix Euclidean vector Rank Euclidean subspace Algebra Mathematics Linear algebra
80	Convex Multi-view Subspace Learning Martha White, Yaoliang Yu, Xinhua Zhang∗ and Dale Schuurmans Department of Computing Science, University of Alberta, Edmonton AB T6G 2E8, Canada {whitem,yaoliang,xinhua2,dale}@cs.ua Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-11-10 01:57:58 Group theory Vector space Vectors Algebra Mathematics Linear algebra

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