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Springer
Decision Forests for Computer Vision and Medical Image Analysis
Product Code:
9781447149286
ISBN13:
9781447149286
Condition:
New
$211.47
Decision Forests for Computer Vision and Medical Image Analysis
$211.47
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 theoretical foundations and the practical implementation of decision forests; discusses the use of decision forests for such tasks as classification, regression, density estimation, manifold learning, active learning and semi-supervised classification; includes exercises and experiments throughout the text, with solutions, slides, demo videos and other supplementary material provided at an associated website; provides a free, user-friendly software library, enabling the reader to experiment with forests ina hands-on manner.
| Author: Antonio Criminisi |
| Publisher: Springer |
| Publication Date: Feb 07, 2013 |
| Number of Pages: 368 pages |
| Binding: Hardback or Cased Book |
| ISBN-10: 1447149289 |
| ISBN-13: 9781447149286 |
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