000			03200nam a22004335i 4500
001			86472
003			ES-MaUEC
005			20240111050127.0
007			cr nn 008mamaa
008			150925s2016 gw a s 000 0 eng d
020			_a9783662483312
024	7		_a10.1007/978-3-662-48331-2 _2doi
040			_aES-MaUEC
050		4	_aQA188 _b.N66 2016 EB
082	0	4	_a621.382
245	0	0	_aNon-negative Matrix Factorization Techniques : _bAdvances in Theory and Applications _cedited by Ganesh R. Naik
250			_a1st ed.
264		1	_aBerlin, Heidelberg _bSpringer Berlin Heidelberg _c2016
300			_a1 recurso en línea (VII, 194 p.) _b53 ilustraciones, 24 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	1		_aSignals and Communication Technology _x1860-4862
505	0		_aFrom Binary NMF to Variational Bayes NMF: A Probabilistic Approach -- Non Negative Matrix Factorizations for Intelligent Data Analysis -- Automatic extractive multi-document summarization based on Archetypal Analysis -- Bounded Matrix Low Rank Approximation -- A Modified NMF-based Filter Bank Approach for Enhancement of Speech Data in Non-stationary Noise -- Separation of stellar spectra based on non-negativity and parametric modelling of mixing operator -- NMF in MR Spectroscopy -- Time-Scale Based Segmentation for Degraded PCG Signals Using NMF.
520	3		_aThis book collects new results, concepts and further developments of NMF. The open problems discussed include, e.g. in bioinformatics: NMF and its extensions applied to gene expression, sequence analysis, the functional characterization of genes, clustering and text mining etc. The research results previously scattered in different scientific journals and conference proceedings are methodically collected and presented in a unified form. While readers can read the book chapters sequentially, each chapter is also self-contained. This book can be a good reference work for researchers and engineers interested in NMF, and can also be used as a handbook for students and professionals seeking to gain a better understanding of the latest applications of NMF.
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, EBSPRINGER
650		7	_aMatrices (Matemáticas) _0comprobar BNE19901022555 _2embne _9142711
650		7	_aInteligencia artificial _0comprobar BNE19900997218 _2embne _9413115
650		7	_aProgramación lineal _0comprobar BNE19902552600 _2embne _9143837
700	1		_aNaik, Ganesh R. _eeditor literario _9100202 _0Local
830		0	_aSignals and Communication Technology _x1860-4862 _9134149
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-662-48331-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783662483312
907			_a.b12957501 _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b23-09-17 _cm _dz _ei _feng _ggw _h0
945			_aQA188 .N66 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11599285 _z06-04-17
999			_c86472 _d86472 _x1