Decision Forests for Computer Vision and Medical Image Analysis

• Corporate Author: SpringerLink (Online service)
• Other Authors: Criminisi, A. (Editor), Shotton, J. (Editor)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London : Imprint: Springer, 2013.
• Series: Advances in Computer Vision and Pattern Recognition,
• Subjects: Computer science.; Artificial intelligence.; Pattern recognition.; Computer Science.; Pattern Recognition.; Artificial Intelligence (incl. Robotics).

Decision forests (also known as random forests) are an indispensable tool for automatic 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....