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Computational information geometry : for image and signal processing / Frank Nielsen, Frank Critchley, Christopher T.J. Dodson, editors.

Contributor(s): Critchley, Frank,, editor literario | Dodson, C. T. J.,, editor literario | Nielsen, Frank,, editor literario
Material type: materialTypeLabelE-bookSeries: (Signals and communication technology, 1860-4862).Publisher: Cham, Switzerland : SpringerCopyright date: 2017Description: 1 recurso en línea.ISBN: 3319470582; 9783319470580.Subject: Procesadores digitales de señalOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Medical Applications -- Cognition and Learning -- Video Image Analysis -- Advanced Radar Processing.
Abstract: This book focuses on the application and development of information geometric methods in the analysis, classification and retrieval of images and signals. It provides introductory chapters to help those new to information geometry and applies the theory to several applications. This area has developed rapidly over recent years, propelled by the major theoretical developments in information geometry, efficient data and image acquisition and the desire to process and interpret large databases of digital information. The book addresses both the transfer of methodology to practitioners involved in database analysis and in its efficient computational implementation.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TK5102.9 C667 2017 EB (Browse shelf(Opens below)) Acceso electrónico eBook.20022562
Total holds: 0

SpringerLink Springer Engineering eBooks 2017 English+International

Medical Applications -- Cognition and Learning -- Video Image Analysis -- Advanced Radar Processing.

This book focuses on the application and development of information geometric methods in the analysis, classification and retrieval of images and signals. It provides introductory chapters to help those new to information geometry and applies the theory to several applications. This area has developed rapidly over recent years, propelled by the major theoretical developments in information geometry, efficient data and image acquisition and the desire to process and interpret large databases of digital information. The book addresses both the transfer of methodology to practitioners involved in database analysis and in its efficient computational implementation.

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