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...
| Other Authors: | Criminisi, Antonio, 1972-, Shotton, J., SpringerLink (Online service) |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
London ; New York :
Springer,
©2013.
London ; New York : [2013] |
| Physical Description: |
1 online resource (366 pages). |
| Series: |
Advances in computer vision and pattern recognition.
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| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |