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Sparse approximation
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11	Estimation, Optimization, and Parallelism when Data is Sparse H. Brendan McMahan2 Google, Inc.2 Seattle, WA 98103 Add to Reading List Source URL: stanford.edu Language: English - Date: 2014-09-05 13:17:03 Operations research Numerical analysis Mathematical analysis Numerical linear algebra Applied mathematics Mathematical optimization Online machine learning Sparse approximation Stochastic programming Support vector machine
12	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
13	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
14	IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 50, NO. 10, OCTOBERGreed is Good: Algorithmic Results for Sparse Approximation Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2007-09-11 17:01:55 Signal processing Mathematics Algebra Electrical engineering Matching pursuit Sparse approximation Babel function Coherence Wavelet Algorithm Approximation algorithm Linear programming
15	Inducing Wavelets into Random Fields via Generative Boosting Jianwen Xie, Yang Lu, Song-Chun Zhu, and Ying Nian Wu∗ Department of Statistics, University of California, Los Angeles, USA Abstract Add to Reading List Source URL: www.stat.ucla.edu Language: English - Date: 2015-09-11 02:51:37 Signal processing Wavelet Sparse approximation Matching pursuit Machine learning
16	DYNAMIC SPARSE STATE ESTIMATION USING ℓ1 -ℓ1 MINIMIZATION: ADAPTIVE-RATE MEASUREMENT BOUNDS, ALGORITHMS AND APPLICATIONS João Mota⋆, Nikos Deligiannis⋆♯, Aswin C. Sankaranarayanan†, Volkan Cevher‡ , Miguel Add to Reading List Source URL: www.ee.ucl.ac.uk Language: English - Date: 2015-02-11 09:51:28 Signal processing Control theory Linear algebra Robot control Kalman filter Compressed sensing Sparse approximation State observer Estimation theory Compressed sensing in speech signals
17	ALGORITHMS FOR SIMULTANEOUS SPARSE APPROXIMATION PART II: CONVEX RELAXATION JOEL A. TROPP Abstract. A simultaneous sparse approximation problem requests a good approximation of several input signals at once using differe Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2007-09-11 17:01:57 Numerical linear algebra Sparse approximation Matrix Linear algebra Low-rank approximation
18	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
19	Mach Learn:3–39 DOIs10994A majorization-minimization approach to the sparse generalized eigenvalue problem Bharath K. Sriperumbudur · David A. Torres · Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:27 Multivariate statistics Operations research Mathematical optimization Numerical linear algebra Dimension reduction Sparse PCA Sparse approximation Principal component analysis Limit of a function Convex optimization Semidefinite programming K-SVD
20	1030 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 52, NO. 3, MARCH 2006 Just Relax: Convex Programming Methods for Identifying Sparse Signals in Noise Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2007-09-11 17:01:58 Linear algebra Convex analysis Mathematical optimization Numerical linear algebra Signal processing Sparse approximation Convex function Norm Vector space Banach space Preconditioner Convex set

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