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 eBook |
| Language: | English |
| Published: |
London :
Springer London : Imprint: Springer,
2013.
|
| Series: | Advances in Computer Vision and Pattern Recognition,
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
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