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Sparse dictionary learning
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1	Proof, beliefs, and algorithms through the lens of sum-of-squares 1 Application: Sparse coding / dictionary learning The dictionary learning / sparse coding problem is defined as follows: Add to Reading List Source URL: sumofsquares.org - Date: 2016-11-17 19:44:26
2	I will discuss recent work on randomized algorithms for low-rank approximation and principal component analysis (PCA). The talk will focus on efforts that move beyond the extremely fast, but relatively crude approximatio Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Algebra Mathematics Multivariate statistics Numerical analysis Numerical linear algebra Iterative methods Dimension reduction Principal component analysis Singular value decomposition Stochastic optimization Nonlinear dimensionality reduction Sparse dictionary learning
3	ALGORITHMS FOR SIMULTANEOUS SPARSE APPROXIMATION PART I: GREEDY PURSUIT JOEL A. TROPP, ANNA C. GILBERT, AND MARTIN J. STRAUSS Abstract. A simultaneous sparse approximation problem requests a good approximation of several Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2007-09-11 17:01:55 Algebra Mathematics Linear algebra Numerical linear algebra Multivariate statistics Signal processing Sparse approximation Matching pursuit Matrix theory Matrix Vector space Sparse dictionary learning
4	I will discuss recent work on randomized algorithms for low-rank approximation and principal component analysis (PCA). The talk will focus on efforts that move beyond the extremely fast, but relatively crude approximatio Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Algebra Mathematics Multivariate statistics Numerical analysis Dimension reduction Iterative methods Numerical linear algebra Principal component analysis Singular value decomposition Stochastic optimization Algorithm Sparse dictionary learning
5	MONAURAL SEPARATION AND CLASSIFICATION OF NON-LINEAR TRANSFORMED INDEPENDENT SIGNALS: AN SVM PERSPECTIVE Sepp Hochreiter and Michael C. Mozer Department of Computer Science University of Colorado Boulder, CO 80309 Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:26:38 Signal processing Statistical models Convex optimization Operations research Independent component analysis Wavelet Linear programming Support vector machine Matrix Machine learning Sparse approximation Sparse dictionary learning
6	Sparse and spurious: dictionary learning with noise and outliers Rodolphe Jenatton Amazon, Berlin Add to Reading List Source URL: www.maths.ed.ac.uk Language: English - Date: 2015-05-06 15:23:45
7	ON THE SAMPLE COMPLEXITY OF SPARSE DICTIONARY LEARNING M. Seibert1 , M. Kleinsteuber1 , R. Gribonval2 , R. Jenatton3,4, F. Bach3,5 arXiv:1403.5112v1 [stat.ML] 20 Mar Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-03-20 20:31:30
8	Proximal Methods for Sparse Hierarchical Dictionary Learning Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2010-05-03 09:04:19
9	Proximal Methods for Sparse Hierarchical Dictionary Learning Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2010-05-03 08:46:07
10	1 Sparse and spurious: dictionary learning with noise and outliers arXiv:1407.5155v4 [cs.LG] 22 Aug 2015 Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-08-24 21:36:33