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Decision forests for computer vision and medical image analysis /

This practical and easy-to-follow text explores the theoretical underpinnings of decision forests, organizing the vast existing literature on the field within a new, general-purpose forest model. Topics and features: with a foreword by Prof. Y. Amit and Prof. D. Geman, recounting their participation...

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Bibliographic Details
Corporate Author: Ebook Library
Other Authors: Criminisi, Antonio, 1972-, Shotton, J. (Jamie)
Format: eBook
Language:English
Published: London ; New York : Springer, [2013]
Series:Advances in computer vision and pattern recognition.
Subjects:
Decision trees.
Computer vision.
Image processing > Digital techniques.
Diagnostic imaging > Digital techniques.
Computer vision > Congresses.
Decision support systems.
Expert systems (Computer science) > Design.
MATHEMATICS / Graphic Methods.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:This practical and easy-to-follow text explores the theoretical underpinnings of decision forests, organizing the vast existing literature on the field within a new, general-purpose forest model. Topics and features: with a foreword by Prof. Y. Amit and Prof. D. Geman, recounting their participation in the development of decision forests; introduces a flexible decision forest model, capable of addressing a large and diverse set of image and video analysis tasks; investigates both the theoretical foundations and the practical implementation of decision forests.
Item Description:Electronic resource.
Physical Description:1 online resource (366 pages)
Bibliography:Includes bibliographical references and index.
ISBN:9781447149293 (electronic bk.)
1447149297 (electronic bk.)