Decision Forests for Computer Vision and Medical Image Analysis
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....
Corporate Author: | SpringerLink (Online service) |
---|---|
Other Authors: | Criminisi, A. (Editor), Shotton, J. (Editor) |
Format: | Electronic |
Language: | English |
Published: |
London :
Springer London : Imprint: Springer,
2013.
|
Series: | Advances in Computer Vision and Pattern Recognition,
|
Subjects: | |
Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4471-4929-3 |
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