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Linear subspace
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#	Item
111	Preconditioning of conjugate-gradients in observation space for 4D-VAR S. Gratton1 S. Gurol2 Add to Reading List Source URL: gmao.gsfc.nasa.gov Language: English - Date: 2011-10-21 09:18:22 Mathematical analysis Operator theory Krylov subspace Iterative method Adjoint Conjugate gradient method Hermitian adjoint Orthogonalization Preconditioner Numerical analysis Mathematics Numerical linear algebra
112	This article was published in an Elsevier journal. The attached copy is furnished to the author for non-commercial research and education use, including for instruction at the author’s institution, sharing with colleag Add to Reading List Source URL: raphael.mit.edu Language: English - Date: 2008-02-19 11:16:34 Numerical linear algebra Operator theory Krylov subspace Principal component analysis Projection Algebra Mathematical analysis Linear algebra
113	Low-distortion Subspace Embeddings in Input-sparsity Time and Applications to Robust Linear Regression Xiangrui Meng∗ Michael W. Mahoney Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2014-06-25 12:32:40 Analysis of algorithms Probabilistic complexity theory Randomized algorithm Projection Embedding Time complexity NC Regression analysis Theoretical computer science Computational complexity theory Mathematics
114	Proceedings of the 17th International Symposium on Mathematical Theory of Networks and Systems, Kyoto, Japan, July 24-28, 2006 A generalisation of the Oja subspace flow Christfried Webers and Jonathan H. Manton Abstrac Add to Reading List Source URL: www.web-port.net Language: English - Date: 2013-10-29 01:29:52 Matrices Matrix theory Numerical linear algebra Singular value decomposition Orthogonal matrix Eigenvalues and eigenvectors Matrix Principal component analysis Symmetric matrix Algebra Linear algebra Mathematics
115	Randomized Subspace Descent Rafael M. Frongillo Harvard University [removed] Add to Reading List Source URL: www.opt-ml.org Language: English - Date: 2014-12-10 11:28:44 Abstract algebra Matrix theory Random coordinate descent Hypergraph Vector space Eigenvalues and eigenvectors Convex function Algebra Mathematics Linear algebra
116	Subspace Video Stabilization FENG LIU Portland State University MICHAEL GLEICHER University of Wisconsin-Madison and Add to Reading List Source URL: web.cecs.pdx.edu Language: English - Date: 2010-10-28 00:19:23 Linear algebra Imaging Structure from motion Image stabilization 3D film Motion blur Stability theory Shutter Rank Computer vision Optics Photography
117	Computing the modular curves Xsp(13), Xns(13) and XA4 (13) using modular symbols in Sage J. E. Cremona, B. S. Banwait August 16, 2013 Abstract This document is an annotated version of a Sage script which computes Add to Reading List Source URL: homepages.warwick.ac.uk Language: English - Date: 2013-08-19 04:26:16 Singular value decomposition Matrices Matrix theory Operator theory Eigenvalues and eigenvectors Hecke operator Matrix Invariant subspace Kernel Algebra Mathematics Linear algebra
118	Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition Jia Deng1,2 , Sanjeev Satheesh1 , Alexander C. Berg3 , Li Fei-Fei1 Computer Science Department, Stanford University1 Computer Science De Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 18:18:28 Support vector machine Classifier Multiclass classification Boosting methods for object categorization Random subspace method Statistics Statistical classification Linear classifier
119	Assembly-Free Large-Scale Modal Analysis on the GPU Praveen Yadav, Krishnan Suresh [removed] Department of Mechanical Engineering, UW-Madison, Madison, Wisconsin 53706, USA Abstract Add to Reading List Source URL: www.ersl.wisc.edu Language: English - Date: 2012-07-11 15:25:28 Linear algebra Eigenvalues and eigenvectors Conjugate gradient method Preconditioner Eigenvalue algorithm Lanczos algorithm Rayleigh quotient Iterative method Krylov subspace Algebra Numerical linear algebra Mathematics
120	Subspace segmentation with outliers: a Grassmannian approach to the maximum consensus subspace∗ Nuno Pinho da Silva† Jo˜ao Paulo Costeira‡ ISR-Instituto Superior T´ecnico Torre Norte - 7 Piso, Av.Rovisco Pais, 1, Add to Reading List Source URL: users.isr.ist.utl.pt Language: English - Date: 2009-10-22 05:08:34 Linear algebra Robust statistics Data analysis Functional analysis Projective geometry Grassmannian RANSAC Vector space Outlier Algebra Mathematics Statistics

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