000 03359nam a22005895i 4500
001 978-3-662-48331-2
003 DE-He213
005 20200421111844.0
007 cr nn 008mamaa
008 150925s2016 gw | s |||| 0|eng d
020 _a9783662483312
_9978-3-662-48331-2
024 7 _a10.1007/978-3-662-48331-2
_2doi
050 4 _aTK5102.9
050 4 _aTA1637-1638
050 4 _aTK7882.S65
072 7 _aTTBM
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aCOM073000
_2bisacsh
082 0 4 _a621.382
_223
245 1 0 _aNon-negative Matrix Factorization Techniques
_h[electronic resource] :
_bAdvances in Theory and Applications /
_cedited by Ganesh R. Naik.
250 _a1st ed. 2016.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2016.
300 _aVII, 194 p. 53 illus., 24 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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 _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.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aComputer graphics.
650 0 _aComputer mathematics.
650 0 _aBiomedical engineering.
650 1 4 _aEngineering.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
650 2 4 _aComputational Mathematics and Numerical Analysis.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aBiomedical Engineering.
700 1 _aNaik, Ganesh R.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783662483305
830 0 _aSignals and Communication Technology,
_x1860-4862
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-662-48331-2
912 _aZDB-2-ENG
942 _cEBK
999 _c55715
_d55715