Sparse approximation

Results: 86



#Item
41Asia Pacific Mathematics Newsletter 1 Compressive Applications CompressiveSensing

Asia Pacific Mathematics Newsletter 1 Compressive Applications CompressiveSensing

Add to Reading List

Source URL: www.asiapacific-mathnews.com

Language: English - Date: 2012-05-08 21:52:37
42Sparse solutions for linear prediction problems by Tyler Neylon A dissertation submitted in partial fulfillment of the requirements for the degree of

Sparse solutions for linear prediction problems by Tyler Neylon A dissertation submitted in partial fulfillment of the requirements for the degree of

Add to Reading List

Source URL: www.cs.nyu.edu

Language: English - Date: 2009-01-13 11:54:22
43Accelerated Training for Matrix-norm Regularization: A Boosting Approach Xinhua Zhang∗, Yaoliang Yu and Dale Schuurmans Department of Computing Science, University of Alberta, Edmonton AB T6G 2E8, Canada {xinhua2,yaoli

Accelerated Training for Matrix-norm Regularization: A Boosting Approach Xinhua Zhang∗, Yaoliang Yu and Dale Schuurmans Department of Computing Science, University of Alberta, Edmonton AB T6G 2E8, Canada {xinhua2,yaoli

Add to Reading List

Source URL: webdocs.cs.ualberta.ca

Language: English - Date: 2012-11-10 01:59:53
44MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Greedy Sparsity-Constrained Optimization  Bahmani, S.; Raj, B.; Boufounos, P.T.

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Greedy Sparsity-Constrained Optimization Bahmani, S.; Raj, B.; Boufounos, P.T.

Add to Reading List

Source URL: www.merl.com

Language: English - Date: 2013-07-15 07:04:10
451  Sparse Recovery Using Sparse Matrices Anna Gilbert, Piotr Indyk  Abstract—We survey algorithms for sparse recovery problems that are based on sparse random matrices. Such matrices

1 Sparse Recovery Using Sparse Matrices Anna Gilbert, Piotr Indyk Abstract—We survey algorithms for sparse recovery problems that are based on sparse random matrices. Such matrices

Add to Reading List

Source URL: people.csail.mit.edu

Language: English - Date: 2010-05-15 17:43:14
46Sketching via Hashing: from Heavy Hitters to Compressive Sensing to Sparse Fourier Transform Piotr Indyk MIT

Sketching via Hashing: from Heavy Hitters to Compressive Sensing to Sparse Fourier Transform Piotr Indyk MIT

Add to Reading List

Source URL: people.csail.mit.edu

Language: English - Date: 2013-06-27 14:27:22
47CUR from a Sparse Optimization Viewpoint  Jacob Bien∗ Department of Statistics Stanford University Stanford, CA 94305

CUR from a Sparse Optimization Viewpoint Jacob Bien∗ Department of Statistics Stanford University Stanford, CA 94305

Add to Reading List

Source URL: www.cs.yale.edu

Language: English - Date: 2010-10-28 23:49:43
48S PARSITY BASED R EGULARIZATION Francesca Odone and Lorenzo Rosasco RegML 2014 Regularization Methods for High Dimensional Learning

S PARSITY BASED R EGULARIZATION Francesca Odone and Lorenzo Rosasco RegML 2014 Regularization Methods for High Dimensional Learning

Add to Reading List

Source URL: lcsl.mit.edu

Language: English - Date: 2014-07-02 13:40:18
49Rapidly Computing Sparse Chebyshev and Legendre Coefficient Expansions via SFTs Mark Iwen Michigan State University  October 18, 2014

Rapidly Computing Sparse Chebyshev and Legendre Coefficient Expansions via SFTs Mark Iwen Michigan State University October 18, 2014

Add to Reading List

Source URL: groups.csail.mit.edu

Language: English - Date: 2014-10-21 20:39:27
50Greedy Algorithms for Sparse Reinforcement Learning  Christopher Painter-Wakefield Ronald Parr Duke University, Durham NC

Greedy Algorithms for Sparse Reinforcement Learning Christopher Painter-Wakefield Ronald Parr Duke University, Durham NC

Add to Reading List

Source URL: www.cs.duke.edu

Language: English - Date: 2012-05-22 14:26:52