| 000 | 03694nam a22006255i 4500 | ||
|---|---|---|---|
| 001 | 978-3-662-48331-2 | ||
| 003 | DE-He213 | ||
| 005 | 20220801221018.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 150925s2016 gw | s |||| 0|eng d | ||
| 020 |
_a9783662483312 _9978-3-662-48331-2 |
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| 024 | 7 |
_a10.1007/978-3-662-48331-2 _2doi |
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| 050 | 4 | _aTK5102.9 | |
| 072 | 7 |
_aTJF _2bicssc |
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| 072 | 7 |
_aUYS _2bicssc |
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_aTEC008000 _2bisacsh |
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_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. |
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| 300 |
_aVII, 194 p. 53 illus., 24 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSignals and Communication Technology, _x1860-4870 |
|
| 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 |
_aSignal processing. _94052 |
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| 650 | 0 |
_aImage processing—Digital techniques. _931565 |
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| 650 | 0 |
_aComputer vision. _953652 |
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| 650 | 0 |
_aMathematics—Data processing. _931594 |
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| 650 | 0 |
_aArtificial intelligence. _93407 |
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| 650 | 0 |
_aBiomedical engineering. _93292 |
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| 650 | 1 | 4 |
_aSignal, Speech and Image Processing . _931566 |
| 650 | 2 | 4 |
_aComputer Imaging, Vision, Pattern Recognition and Graphics. _931569 |
| 650 | 2 | 4 |
_aComputational Mathematics and Numerical Analysis. _931598 |
| 650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
| 650 | 2 | 4 |
_aBiomedical Engineering and Bioengineering. _931842 |
| 700 | 1 |
_aNaik, Ganesh R. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _953653 |
|
| 710 | 2 |
_aSpringerLink (Online service) _953654 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783662483305 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783662483329 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783662517000 |
| 830 | 0 |
_aSignals and Communication Technology, _x1860-4870 _953655 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-662-48331-2 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
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