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Inhaltsangabe
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 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.
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Über die Autorin bzw. den Autor
Saad Al-Baddai - Received his master degree MEng. from Colonge University of Applied Sceince,Germany, in 2012. He recieved his Ph.D degree from Regensburg University (RU). He is currently doing habilitation in information science as well as PostDoc in CIML group at RU. His research interests center of the fields of data science and bioinformatic
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Ensemble Empirical Mode Decomposition of functional Images
Verlag:
LAP LAMBERT Academic Publishing Jun 2017, 2017
ISBN 10: 3330326425
ISBN 13: 9783330326422
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Taschenbuch. Zustand: 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-called 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. Bestandsnummer des Verkäufers 9783330326422
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Ensemble Empirical Mode Decomposition of functional Images
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330326425
ISBN 13: 9783330326422
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Ensemble Empirical Mode Decomposition of functional Images
Verlag:
LAP LAMBERT Academic Publishing Jun 2017, 2017
ISBN 10: 3330326425
ISBN 13: 9783330326422
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: 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 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. Bestandsnummer des Verkäufers 9783330326422
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Ensemble Empirical Mode Decomposition of functional Images
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330326425
ISBN 13: 9783330326422
Neu
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Taschenbuch. Zustand: 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 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. Bestandsnummer des Verkäufers 9783330326422
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EUR 49,90
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Ensemble Empirical Mode Decomposition of functional Images
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330326425
ISBN 13: 9783330326422
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Anbieter: preigu, Osnabrück, Deutschland
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Taschenbuch. Zustand: 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 | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 120563935
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