000			01653nam a2200373Ii 4500
001			CRC0KE11306PDF
003			FlBoTFG
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008			150323t20152015fluad ob 001 0 eng d
020			_a9780429151996
040			_aFlBoTFG _beng _cFlBoTFG _erda
082			_a620.0015118 _bR595
090			_aTA342 _b.R57 2015
100	1		_aRish, Irina and Grabarnik, Genady
245	1	0	_aSparse Modeling : _bTheory, Algorithms, and Applications /
260			_aBoca Raton : _bCRC Press : _cc2015.
300			_a253 p. :
490	1		_aChapman & Hall/CRC machine learning & pattern recognition series
500			_aA Chapman & Hall book.
504			_aIncludes bibliographical references and index.
505	0		_a1. Introduction -- 2. Sparse recovery : problem formulations -- 3. Theoretical results (deterministic part) -- 4. Theoretical results (probabilistic part) -- 5. Algorithms for sparse recovery problems -- 6. Beyond LASSO : structured sparsity -- 7. Beyond LASSO : other loss functions -- 8. Sparse graphical models -- 9. Sparse matrix factorization : dictionary learning and beyond.
530			_aAlso available in print format.
650		0	_aMathematical models.
650		0	_aSampling (Statistics)
650		0	_aSparse matrices.
655		7	_aElectronic books. _2lcsh
776	0	8	_iPrint version: _z9781439828694 (Hardback)
830		0	_aChapman & Hall/CRC machine learning & pattern recognition series.
856	4	0	_uhttp://marc.crcnetbase.com/isbn/9781439828700 _qebook
942			_2ddc _cEBK
998			_billustrations (some color) ; _c[between 23 and 29 cm]
999			_c1016 _d1016