9783330326422 - ensemble empirical mode decomposition of functional images de al-baddai, saad; ludwig, bernd; lang, elmar (5 resultados)
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Librería: moluna, Greven, Alemaniamoluna
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book 'EMD of functional images', explores the potential of canonical two-dimensional ensemble empirical mode decomposition (2DEEMD) and Green's function in tension-based bidimensional EMD (GiTBEMD) to extract textures , so-call…ed bidimensional intrinsic mode functions (BIMFs), of functional biomedical images, especially functional magnetic resonance images (fMRI) taken during a visual task. To identify most informative textures, i.e. BIMFs,a support vector machine (SVM) as well as a random forest (RF) classifiers are employed. Classification performance is used to estimate the discriminative power of extracted BIMFs. The latter are then analyzed according to their spatial distribution of brain activations related with visual task and compared with a canonical general linear model (GLM) analysis employing statistical parametric mapping (SPM). Also, a comparative study, in terms of computational costs and quality of extracted intrinsic modes, between 2DEEMD and GiTBEMD have been done based on the same collected data. 92 pp. Englisch.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book 'EMD of functional images', explores the potential of canonical two-dimensional ensemble empirical mode decomposition (2DEEMD) and Green's function in tension-based bidimensional EMD (GiTBEMD) to extract textures , so-called b…idimensional intrinsic mode functions (BIMFs), of functional biomedical images, especially functional magnetic resonance images (fMRI) taken during a visual task. To identify most informative textures, i.e. BIMFs,a support vector machine (SVM) as well as a random forest (RF) classifiers are employed. Classification performance is used to estimate the discriminative power of extracted BIMFs. The latter are then analyzed according to their spatial distribution of brain activations related with visual task and compared with a canonical general linear model (GLM) analysis employing statistical parametric mapping (SPM). Also, a comparative study, in terms of computational costs and quality of extracted intrinsic modes, between 2DEEMD and GiTBEMD have been done based on the same collected data.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book 'EMD of functional images', explores the potential of canonical two-dimensional ensemble empirical mode decomposition (2DEEMD) and Green's function in tension-based bidimensional EMD (GiTBEMD) to extract textures , so-called bi…dimensional intrinsic mode functions (BIMFs), of functional biomedical images, especially functional magnetic resonance images (fMRI) taken during a visual task. To identify most informative textures, i.e. BIMFs,a support vector machine (SVM) as well as a random forest (RF) classifiers are employed. Classification performance is used to estimate the discriminative power of extracted BIMFs. The latter are then analyzed according to their spatial distribution of brain activations related with visual task and compared with a canonical general linear model (GLM) analysis employing statistical parametric mapping (SPM). Also, a comparative study, in terms of computational costs and quality of extracted intrinsic modes, between 2DEEMD and GiTBEMD have been done based on the same collected data.
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Librería: preigu, Osnabrück, Alemaniapreigu
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Taschenbuch. Condición: Neu. Ensemble Empirical Mode Decomposition of functional Images | Saad Al-Baddai (u. a.) | Taschenbuch | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330326422 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbiet…er: preigu Print on Demand.
