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Sparse matrix
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41	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
42	PDF Document Add to Reading List Source URL: gauss.cs.ucsb.edu Language: English - Date: 2016-02-16 17:50:03 Algebra Mathematics Linear algebra Matrix theory Multiplication Sparse matrices Numerical linear algebra Matrix multiplication Matrix Non-negative matrix factorization Shortest path problem Multiplication algorithm
43	Sparse Models of Natural Language Text Dani Yogatama CMU-LTILanguage Technologies Institute School of Computer Science Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2015-08-18 01:45:01 Artificial intelligence Statistics Machine learning Learning Computational neuroscience Artificial neural networks Lasso Word embedding Language model Structured sparsity regularization Matrix regularization
44	Sparsity and Arithmetic Informative Example Consequences and Conclusions Add to Reading List Source URL: www.issac-symposium.org Language: English - Date: 2015-07-08 10:37:58 Algebra Polynomial Sparse matrix
45	Notation and Basic Operations Matrix Products Computational Foundations of Cognitive Science Lecture 9: Basic Operations on Matrices; Matrix Product Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2014-02-07 11:54:28 Algebra Mathematics Linear algebra Matrices Matrix theory Sparse matrices Multiplication Matrix Square matrix Array programming Product Identity matrix
46	ALGORITHMIC LINEAR DIMENSION REDUCTION IN THE `1 NORM FOR SPARSE VECTORS A. C. GILBERT, M. J. STRAUSS, J. A. TROPP, AND R. VERSHYNIN Abstract. We can recover approximately a sparse signal with limited noise, i.e, a vecto Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2009-02-03 14:30:47 Digital signal processing Computational complexity theory Matrix Fast Fourier transform Time complexity Mathematics Computer science Theoretical computer science Polynomials
47	A direct formulation for sparse PCA using semidefinite programming Alexandre d’Aspremont Department of Electrical Engineering and Computer Science University of California, Berkeley, CA 947 Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:28 Algebra Linear algebra Mathematics Matrix theory Multivariate statistics Numerical linear algebra Operations research Sparse PCA Semidefinite programming Principal component analysis Matrix Singular value decomposition
48	Modeling set associative caches behavior for irregular computations Add to Reading List Source URL: www.des.udc.es Language: English - Date: 2014-12-23 06:07:47 Algebra Mathematics Vectors Vector calculus Linear algebra Cache Matrix Euclidean vector CPU cache Sparse matrix Square matrix Cross product

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