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IEEE Transactions on Signal Processing, ISSN 1053-587X, 04/2013, Volume 61, Issue 8, pp. 2009 - 2015
Journal Article
Journal of statistical software, ISSN 1548-7660, 2015, Volume 67, Issue 1, pp. 1 - 48
Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function... 
Cholesky decomposition | Linear mixed models | Sparse matrix methods | Penalized least squares | Statistics & Probability | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Mathematics | Science & Technology | sparse matrix methods | penalized least squares | linear mixed models
Journal Article
International journal of computer vision, ISSN 0920-5691, 10/2018, Volume 126, Issue 10, pp. 1138 - 1156
Journal Article
SIAM Journal on Scientific Computing, ISSN 1064-8275, 2012, Volume 34, Issue 4, pp. C170 - C191
Journal Article
Concurrency and computation, ISSN 1532-0626, 11/2018, Volume 30, Issue 21, pp. e4701 - n/a
Summary Sparse matrix‐vector multiplication (SpMV) is a crucial operation used for solving many engineering and scientific problems. In general, there is no... 
compressed sparse row | SpMV | sparse matrix‐vector multiplication | sparse matrix-vector multiplication | Multiplication | Format | Sparsity | Preprocessing | Matrix algebra | Mathematical analysis | Matrix partitioning | Sparse matrices | Matrix methods
Journal Article
Neurocomputing (Amsterdam), ISSN 0925-2312, 12/2018, Volume 320, pp. 129 - 140
Intelligent fault diagnosis methods are promising in dealing with mechanical big data owing to its efficiency in extracting discriminative features... 
Supervised regularized sparse filtering | Sparse filtering | Intelligent fault diagnosis | Parameterized sparse label matrix | Supervised feature extraction | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Signal processing | Methods | Algorithms
Journal Article
Pattern recognition, ISSN 0031-3203, 01/2016, Volume 49, pp. 43 - 54
We propose a general technique for obtaining sparse solutions to generalized eigenvalue problems, and call it Regularized Generalized Eigen-Decomposition... 
Sparse supervised feature extraction | Sparse 3D-LDA | Regularized generalized eigen-decomposition | Sparse discriminant analysis | Sparse 2D-LDA | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Algorithms
Journal Article
Concurrency and computation, ISSN 1532-0626, 12/2018, Volume 30, Issue 23, pp. e4800 - n/a
Journal Article
The Annals of statistics, ISSN 0090-5364, 02/2011, Volume 39, Issue 1, pp. 82 - 130
Journal Article
IEEE Transactions on Information Theory, ISSN 0018-9448, 02/2014, Volume 60, Issue 2, pp. 1248 - 1259
This paper deals with the computational complexity of conditions which guarantee that the NP-hard problem of finding the sparsest solution to an... 
sparse recovery conditions | Polynomials | Vectors | Sparks | Sparse matrices | Computational complexity | Compressed sensing | computational complexity | Integer programming | Linear systems | Signal processing | Usage | Innovations | Algorithms | Computation | Coherence | Constants | Mathematical models | Compressed | Complexity
Journal Article
Signal processing, ISSN 0165-1684, 10/2015, Volume 115, pp. 94 - 109
In sparse Bayesian learning (SBL), Gaussian scale mixtures (GSMs) have been used to model sparsity-inducing priors that realize a class of concave penalty... 
Underdetermined linear systems | Sparse signal representations | Hierarchical Bayesian modeling | Sparsity-inducing priors | Sparse Bayesian learning | GSM (Global System for Mobile Communications) | Analysis | Algorithms | Statistics - Machine Learning
Journal Article
Foundations and trends in computer graphics and vision, ISSN 1572-2740, 2014, Volume 8, Issue 2-3, pp. 85 - 283
Journal Article
Pattern recognition, ISSN 0031-3203, 2014, Volume 47, Issue 7, pp. 2447 - 2453
Recently, joint feature selection and subspace learning, which can perform feature selection and subspace learning simultaneously, is proposed and has... 
Fisher linear discriminant analysis | Sparse discriminant analysis
Journal Article
2010, ISBN 9780521119139, Volume 9780521119139, xvii, 316 p., [16] p. of plates
"Presenting the state of the art in sparse and multiscale image and signal processing, this book weds theory and practice to examine their applications in a... 
Signal processing | Transformations (Mathematics) | Wavelets (Mathematics) | Image processing | Sparse matrices | Image Processing | Computer Science
Book