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Computational Information Geometry [electronic resource] : For Image and Signal Processing / edited by Frank Nielsen, Frank Critchley, Christopher T. J. Dodson.

Contributor(s): Nielsen, Frank [editor.] | Critchley, Frank [editor.] | Dodson, Christopher T. J [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Signals and Communication Technology: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XIV, 299 p. 79 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319470580.Subject(s): Signal processing | Mathematical statistics—Data processing | Probabilities | Coding theory | Information theory | Biomedical engineering | Signal, Speech and Image Processing | Statistics and Computing | Probability Theory | Coding and Information Theory | Biomedical Engineering and BioengineeringAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
Medical Applications -- Cognition and Learning -- Video Image Analysis -- Advanced Radar Processing.
In: Springer Nature eBookSummary: 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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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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