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Sparse approximation
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#	Item
61	A Dirty Model for Multi-task Learning Ali Jalali University of Texas at Austin [removed] Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2010-11-05 21:08:25 Econometrics Linear regression Sparse approximation Dimensional analysis Regularization Normal distribution Statistics Regression analysis Estimation theory
62	Discriminative Learned Dictionaries for Local Image Analysis Julien Mairal1,5 1 INRIA Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2009-12-10 12:54:22 Machine learning Numerical linear algebra Image processing Linear classifier Statistical classification Singular value decomposition Discriminative model Sparse approximation Supervised learning Algebra Mathematics Linear algebra
63	REAL-TIME DYNAMIC MR IMAGE RECONSTRUCTION USING KALMAN FILTERED COMPRESSED SENSING Chenlu Qiu, Wei Lu and Namrata Vaswani Dept. of Electrical and Computer Engineering, Iowa State University, Ames, IA, {chenlu, luwei, nam Add to Reading List Source URL: home.engineering.iastate.edu Language: English - Date: 2008-09-29 21:34:06 Linear algebra Signal processing Numerical linear algebra Digital signal processing Fourier analysis Compressed sensing Sparse approximation Discrete Fourier transform Matrix Mathematical analysis Mathematics Algebra
64	APPROXIMATE MESSAGE PASSING MEETS EXPLORATION SEISMOLOGY Felix J. Herrmann The University of British Columbia Department of Earth and Ocean Sciences Vancouver, Canada ABSTRACT Add to Reading List Source URL: www.slim.eos.ubc.ca Language: English - Date: 2012-06-15 22:04:38 Numerical linear algebra Signal processing Sparse matrices Compressed sensing Information theory Sparse approximation Matrix Lis Sparse matrix Algebra Mathematics Linear algebra
65	Simultaneous analysis of Lasso and Dantzig selector Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2010-04-22 01:01:09 Estimation theory Parametric statistics Least squares Linear regression Ordinary least squares Differential of a function Sparse approximation Nonparametric regression Statistics Regression analysis Econometrics
66	Parallel solution of large-scale free surface viscoelastic flows via sparse approximate inverse preconditioning Zenaida Castillo a , Xueying Xie b , Danny C. Sorensen a , Mark Embree ∗,a , Matteo Pasquali ∗,b Add to Reading List Source URL: www.caam.rice.edu Language: English - Date: 2006-08-04 16:20:00 Mathematics Preconditioner Sparse matrix Iterative method Sparse approximation Generalized minimal residual method Matrix Lis Jacobian matrix and determinant Numerical linear algebra Algebra Linear algebra
67	IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 57, NO. 6, JUNE[removed]Simultaneous Support Recovery in High Dimensions: Benefits and Perils of Block `1=` -Regularization Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2011-05-25 18:43:44 Estimation theory Machine learning Numerical linear algebra Regularization Linear regression Sparse approximation Matrix Tikhonov regularization Least squares Statistics Regression analysis Econometrics
68	5728 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 55, NO. 12, DECEMBER 2009 Information-Theoretic Limits on Sparsity Recovery in the High-Dimensional and Noisy Setting Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2009-12-07 16:05:46 Probability theory Regression analysis Data analysis Numerical linear algebra Mathematical physics Normal distribution Sparse approximation Matrix Random variable Statistics Mathematics Algebra
69	Estimation, Optimization, and Parallelism when Data is Sparse H. Brendan McMahan2 Google, Inc.2 Seattle, WA 98103 Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-11-14 01:28:47 Stochastic approximation Mathematics Mathematical analysis Applied mathematics Numerical linear algebra Preconditioner Mathematical optimization
70	IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 56, NO. 6, JUNE[removed]Information-Theoretic Limits on Sparse Signal Recovery: Dense versus Sparse Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2010-05-20 21:04:54 Communication Probability theory Numerical linear algebra Information theory Sparse approximation Normal distribution Matrix Estimation theory Entropy Statistics Probability and statistics Applied mathematics

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