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010   $a3-662-48331-9
024 7 $a10.1007/978-3-662-48331-2
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100   $a20150925d2016      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aNon-negative matrix factorization techniques $eadvances in theory and applications /$fedited by Ganesh R. Naik
205   $a1st ed. 2016.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2016.
215   $a1 online resource (200 p.)
225 1 $aSignals and Communication Technology,$x1860-4862
300   $aDescription based upon print version of record.
311   $a3-662-48330-0 
320   $aIncludes bibliographical references at the end of each chapters.
327   $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.
330   $aThis book collects new results, concepts and further developments of NMF. The open problems discussed include, e.g. in bioinformatics: NMF and its extensions applied to gene expression, sequence analysis, the functional characterization of genes, clustering and text mining etc. The research results previously scattered in different scientific journals and conference proceedings are methodically collected and presented in a unified form. While readers can read the book chapters sequentially, each chapter is also self-contained. This book can be a good reference work for researchers and engineers interested in NMF, and can also be used as a handbook for students and professionals seeking to gain a better understanding of the latest applications of NMF.
410  0$aSignals and Communication Technology,$x1860-4862
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aOptical data processing
606   $aComputer science$xMathematics
606   $aArtificial intelligence
606   $aBiomedical engineering
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005
606   $aComputational Mathematics and Numerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M1400X
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aOptical data processing.
615  0$aComputer science$xMathematics.
615  0$aArtificial intelligence.
615  0$aBiomedical engineering.
615 14$aSignal, Image and Speech Processing.
615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics.
615 24$aComputational Mathematics and Numerical Analysis.
615 24$aArtificial Intelligence.
615 24$aBiomedical Engineering and Bioengineering.
676   $a512.9434
702   $aNaik$b Ganesh R$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910254211203321
996   $aNon-negative Matrix Factorization Techniques$91547721
997   $aUNINA