Decision Forests for Computer Vision and Medical Image Analysis
$645.50
- Paperback
368 pages
- Release Date
23 August 2016
Summary
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 in the development of decision forests; introduces a flexible decision forest model, capable of addressing a large and diverse set of image and video analysis tasks; investigates both the theoreti…
Book Details
| ISBN-13: | 9781447169628 |
|---|---|
| ISBN-10: | 144716962X |
| Author: | Antonio Criminisi, J. Shotton |
| Publisher: | Springer London Ltd |
| Imprint: | Springer London Ltd |
| Format: | Paperback |
| Number of Pages: | 368 |
| Release Date: | 23 August 2016 |
| Weight: | 5.91kg |
| Dimensions: | 235mm x 155mm |
| Series: | Advances in Computer Vision and Pattern Recognition |
You Can Find This Book In
What They're Saying
Critics Review
From the reviews:
“This book is a comprehensive presentation of the theory and use of decision forests in a wide range of applications, centered on computer vision and medical imaging. The book is strikingly well integrated. … This is an excellent volume on the concept, theory, and application of decision forests. … I highly recommend it to those currently working in the field, as well as researchers desiring an introduction to the application of random forests for imaging applications.” (Creed Jones, Computing Reviews, March, 2014)
Returns
This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.