Independent component analysis:
Gespeichert in:
Format: | Elektronisch E-Book |
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Sprache: | English |
Veröffentlicht: |
New York
J. Wiley
c2001
|
Schlagworte: | |
Online-Zugang: | FRO01 TUM01 Volltext |
Beschreibung: | Includes bibliographical references (p. 449-475) and index Random vectors and independence -- Gradients and optimization methods -- Estimation theory -- Information theory -- Principal component analysis and whitening -- What is independent component analysis? -- ICA by maximization of nongaussianity -- ICA by maximum likelihood estimation -- ICA by minimization of mutual information -- ICA by tensorial methods -- ICA by nonlinear decorrelation and nonlinear pca -- Practical considerations -- Overview and comparison of basic ICA methods -- Noisy ICA -- ICA with overcomplete bases -- Nonlinear ICA -- Methods using time structure -- Convolutive mixtures and blind deconvolution -- Other extensions -- Feature extraction by ICA -- Brain imaging applications -- Telecommunications -- Other applications |
Beschreibung: | 1 Online-Ressource (xxi, 481 p.) 25 cm |
ISBN: | 0471221317 9780471221319 |
Internformat
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500 | |a Includes bibliographical references (p. 449-475) and index | ||
500 | |a Random vectors and independence -- Gradients and optimization methods -- Estimation theory -- Information theory -- Principal component analysis and whitening -- What is independent component analysis? -- ICA by maximization of nongaussianity -- ICA by maximum likelihood estimation -- ICA by minimization of mutual information -- ICA by tensorial methods -- ICA by nonlinear decorrelation and nonlinear pca -- Practical considerations -- Overview and comparison of basic ICA methods -- Noisy ICA -- ICA with overcomplete bases -- Nonlinear ICA -- Methods using time structure -- Convolutive mixtures and blind deconvolution -- Other extensions -- Feature extraction by ICA -- Brain imaging applications -- Telecommunications -- Other applications | ||
533 | |a Online-Ausgabe |b Somerset, N.J. |c Wiley InterScience605 L |a Online-Ausgabe | ||
650 | 4 | |a Multivariate analysis | |
650 | 4 | |a Principal components analysis | |
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700 | 1 | |a Hyvärinen, Aapo |e Sonstige |4 oth | |
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Datensatz im Suchindex
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classification_rvk | QH 234 SK 830 ST 300 |
collection | ZDB-35-WIC |
ctrlnum | (OCoLC)874311033 (DE-599)BVBBV040769081 |
discipline | Informatik Mathematik Wirtschaftswissenschaften |
format | Electronic eBook |
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genre_facet | Hochschulschrift |
id | DE-604.BV040769081 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T00:33:32Z |
institution | BVB |
isbn | 0471221317 9780471221319 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025747499 |
oclc_num | 874311033 |
open_access_boolean | |
owner | DE-91 DE-BY-TUM DE-861 |
owner_facet | DE-91 DE-BY-TUM DE-861 |
physical | 1 Online-Ressource (xxi, 481 p.) 25 cm |
psigel | ZDB-35-WIC FHR_PDA_WIC UBG_PDA_WIC ZDB-35-WIC FRO_PDA_WIC |
publishDate | 2001 |
publishDateSearch | 2001 |
publishDateSort | 2001 |
publisher | J. Wiley |
record_format | marc |
spelling | Independent component analysis Aapo Hyvärinen, Juha Karhunen, Erkki Oja New York J. Wiley c2001 1 Online-Ressource (xxi, 481 p.) 25 cm txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references (p. 449-475) and index Random vectors and independence -- Gradients and optimization methods -- Estimation theory -- Information theory -- Principal component analysis and whitening -- What is independent component analysis? -- ICA by maximization of nongaussianity -- ICA by maximum likelihood estimation -- ICA by minimization of mutual information -- ICA by tensorial methods -- ICA by nonlinear decorrelation and nonlinear pca -- Practical considerations -- Overview and comparison of basic ICA methods -- Noisy ICA -- ICA with overcomplete bases -- Nonlinear ICA -- Methods using time structure -- Convolutive mixtures and blind deconvolution -- Other extensions -- Feature extraction by ICA -- Brain imaging applications -- Telecommunications -- Other applications Online-Ausgabe Somerset, N.J. Wiley InterScience605 L Online-Ausgabe Multivariate analysis Principal components analysis Komponentenanalyse (DE-588)4133251-9 gnd rswk-swf Signalverarbeitung (DE-588)4054947-1 gnd rswk-swf 1\p (DE-588)4113937-9 Hochschulschrift gnd-content Komponentenanalyse (DE-588)4133251-9 s Signalverarbeitung (DE-588)4054947-1 s 2\p DE-604 Hyvärinen, Aapo Sonstige oth Karhunen, Juha Sonstige oth Oja, Erkki Sonstige oth John Wiley & Sons Sonstige oth Reproduktion von Independent component analysis c2001 Erscheint auch als Druckausgabe 0-471-40540-X Erscheint auch als Druckausgabe 978-0-471-40540-5 https://onlinelibrary.wiley.com/doi/book/10.1002/0471221317 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Independent component analysis Multivariate analysis Principal components analysis Komponentenanalyse (DE-588)4133251-9 gnd Signalverarbeitung (DE-588)4054947-1 gnd |
subject_GND | (DE-588)4133251-9 (DE-588)4054947-1 (DE-588)4113937-9 |
title | Independent component analysis |
title_auth | Independent component analysis |
title_exact_search | Independent component analysis |
title_full | Independent component analysis Aapo Hyvärinen, Juha Karhunen, Erkki Oja |
title_fullStr | Independent component analysis Aapo Hyvärinen, Juha Karhunen, Erkki Oja |
title_full_unstemmed | Independent component analysis Aapo Hyvärinen, Juha Karhunen, Erkki Oja |
title_short | Independent component analysis |
title_sort | independent component analysis |
topic | Multivariate analysis Principal components analysis Komponentenanalyse (DE-588)4133251-9 gnd Signalverarbeitung (DE-588)4054947-1 gnd |
topic_facet | Multivariate analysis Principal components analysis Komponentenanalyse Signalverarbeitung Hochschulschrift |
url | https://onlinelibrary.wiley.com/doi/book/10.1002/0471221317 |
work_keys_str_mv | AT hyvarinenaapo independentcomponentanalysis AT karhunenjuha independentcomponentanalysis AT ojaerkki independentcomponentanalysis AT johnwileysons independentcomponentanalysis |