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Sparse
Results: 1782

#	Item
991	GHz-Wide Sensing and Decoding Using the Sparse Fourier Transform Abstract– We present BigBand, a technology that can capture GHz of spectrum in realtime without sampling the signal at GS/s –i.e., without high speed Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2014-01-15 00:48:53 Telecommunications engineering Physics Electronics Scattering Spectroscopy Undersampling Spectrum analyzer Analog-to-digital converter Universal Software Radio Peripheral Signal processing Digital signal processing Radio spectrum
992	(Nearly) Sample-Optimal Sparse Fourier Transform Piotr Indyk MIT Michael Kapralov MIT∗ Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2014-10-03 15:18:39 Fourier analysis Unitary operators Digital signal processing Computational complexity theory Analysis of algorithms Fourier transform Time complexity Computational complexity of mathematical operations Euclidean algorithm Mathematical analysis Theoretical computer science Mathematics
993	PDF Document Add to Reading List Source URL: www.australiancarriagedrivingsociety.org Language: English Sparse grid Littlewood subordination theorem Mathematical analysis Mathematics Numerical analysis
994	tsnnls: A solver for large sparse least squares problems with non-negative variables Jason Cantarella∗ Department of Mathematics, University of Georgia, Athens, GA[removed]Michael Piatek† Add to Reading List Source URL: www.michaelpiatek.com Language: English Numerical linear algebra Mathematical optimization Operations research Regression analysis Least squares Linear programming Quadratic programming Cholesky decomposition Sparse matrix Mathematics Algebra Numerical analysis
995	Computational Model of the Cerebral Cortex that Performs Sparse Coding Using a Bayesian Network and Self-Organizing Maps ICONIP[removed] Add to Reading List Source URL: staff.aist.go.jp Language: English - Date: 2010-11-17 01:26:23 Biology Cerebral cortex Cortical minicolumn Cortex Visual cortex Visual perception Neocortex Cerebrum Anatomy Cognitive science
996	1 Hyperspectral Unmixing Via L1/2 Sparsity-constrained Nonnegative Matrix Factorization Yuntao Qian, Member, IEEE, Sen Jia, Jun Zhou, Member, IEEE and Antonio Robles-Kelly, Senior Add to Reading List Source URL: www.ict.griffith.edu.au Language: English - Date: 2011-04-13 02:21:52 Multivariate statistics Matrix theory Numerical linear algebra Signal processing Non-negative matrix factorization Compressed sensing Independent component analysis Sparse matrix Hyperspectral imaging Algebra Mathematics Linear algebra
997	Fast Methods for Computing Selected Elements of the Green’s Function in Massively Parallel Nanoelectronic Device Simulations Andrey Kuzmin1 , Mathieu Luisier2 , and Olaf Schenk1 1 Add to Reading List Source URL: www.pardiso-project.org Language: English - Date: 2013-11-02 10:57:36 Numerical linear algebra Matrix theory Matrices Sparse matrices LU decomposition Invertible matrix Matrix Triangular matrix Tridiagonal matrix Algebra Linear algebra Mathematics
998	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 Signal processing Mathematical optimization Regression analysis Multivariate statistics Matching pursuit Linear algebra Least-angle regression Sparse approximation Reinforcement learning Statistics Mathematics Applied mathematics
999	IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, VOL. 10, NO. 4, OCTOBER[removed]Counting Moving Bodies Using Sparse Sensor Beams Lawrence H. Erickson, Graduate Student Member, IEEE, Jingjin Yu, Student Member, Add to Reading List Source URL: msl.cs.uiuc.edu Language: English - Date: 2014-07-26 13:30:08 NP-complete problems Graph coloring Planar graphs Edge coloring Planar separator theorem Graph theory Connectivity Regular graph
1000	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 14:27:13 Regression analysis Learning Reinforcement learning Sparse approximation Supervised learning Feature selection Least squares Least-angle regression Static single assignment form Statistics Matching pursuit Signal processing

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