
Decision Forests for Computer Vision and Medical Image Analysis
Format: Hardcover
ISBN13: 9781447149286
Hardcover|9781447149286
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Overview
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 in a hands-on manner.
| ISBN-13 | 9781447149286 |
|---|---|
| ISBN-10 | 1447149289 |
| Weight | 17.21 Pounds |
| Dimensions | 6.14 x 0.88 x 9.21 In |
| List Price | $179.99 |
| Edition | 1st Edition |
| Format | Hardcover |
|---|---|
| Language | English |
| Pages | xix, 368 pages |
| Publisher | Springer |
| Published On | 2013-02-07 |
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Alibris
Sparks, NV, USA
Print on demand Sewn binding. Cloth over boards. 368 p. Contains: Unspecified, Tables, black & whit...
Free delivery by: 05 Apr 2026