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