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2013, 1st ed., Numerical mathematics and scientific computation, ISBN 9780199655410
Web Resource
2012, Algorithms and combinatorics, ISBN 9783642278747, Volume 28
Web Resource
1986, Monographs on numerical analysis., ISBN 9780198534082, xiii, 341
Book
2017, Second edition., Numerical mathematics and scientific computation, ISBN 9780198508380
The subject of sparse matrices has its root in such diverse fields as management science, power systems analysis, surveying, circuit theory, and structural... 
Data processing | Sparse matrices
Web Resource
1984, ISBN 0125575807, xiii, 321
Book
IEEE Transactions on Signal Processing, ISSN 1053-587X, 04/2013, Volume 61, Issue 8, pp. 2009 - 2015
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 04/2012, Volume 34, Issue 4, pp. 791 - 804
Journal Article
International Journal of Computer Vision, ISSN 0920-5691, 10/2018, Volume 126, Issue 10, pp. 1138 - 1156
Journal Article
IEEE Signal Processing Letters, ISSN 1070-9908, 01/2015, Volume 22, Issue 1, pp. 45 - 49
Journal Article
IEEE TRANSACTIONS ON SIGNAL PROCESSING, ISSN 1053-587X, 01/2009, Volume 57, Issue 1, pp. 289 - 301
In this paper, a fast algorithm for overcomplete sparse decomposition, called SL0, is proposed. The algorithm is essentially a method for obtaining sparse... 
compressed sensing | BLIND SOURCE SEPARATION | REPRESENTATIONS | ALGORITHM | SIGNAL RECONSTRUCTION | blind source separation (BSS) | ENGINEERING, ELECTRICAL & ELECTRONIC | sparse decomposition | sparse source separation | sparse component analysis (SCA) | overcomplete signal representation | DICTIONARIES | Atomic decomposition
Journal Article
IEEE Journal of Selected Topics in Signal Processing, ISSN 1932-4553, 04/2010, Volume 4, Issue 2, pp. 298 - 309
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 02/2013, Volume 22, Issue 2, pp. 700 - 711
Journal Article
1982, Mathematical Centre tracts, ISBN 9789061962427, Volume 150, vii, 237
Book
IEEE Transactions on Signal Processing, ISSN 1053-587X, 09/2010, Volume 58, Issue 9, pp. 4646 - 4655
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 03/2017, Volume 26, Issue 3, pp. 1344 - 1354
Sparse representation and image hashing are powerful tools for data representation and image retrieval respectively. The combinations of these two tools for... 
Manifolds | Image retrieval | retrieval | Binary codes | hashing | Sparse representation | Electronic mail | Sparse matrices | Indexes | orthogonality | Optimization | scalability | optimization | DIMENSIONALITY REDUCTION | IMAGE RETRIEVAL | DEEP | SPARSE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Usage | Electronic mail systems | Research | Mathematical optimization
Journal Article
Concurrency and Computation: Practice and Experience, ISSN 1532-0626, 11/2018, Volume 30, Issue 21, pp. e4701 - n/a
Sparse matrix‐vector multiplication (SpMV) is a crucial operation used for solving many engineering and scientific problems. In general, there is no single... 
compressed sparse row | SpMV | sparse matrix‐vector multiplication | sparse matrix-vector multiplication | COMPUTER SCIENCE, SOFTWARE ENGINEERING | OPTIMIZATION | COMPUTER SCIENCE, THEORY & METHODS | Multiplication | Format | Sparsity | Preprocessing | Matrix algebra | Mathematical analysis | Matrix partitioning | Sparse matrices | Matrix methods
Journal Article
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