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Decision Forests for Computer Vision and Medical Image Analysis

Edited by Antonio Criminisi, Edited by J Shotton

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normal price: R 7 690.95

Price: R 6 921.95


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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.

| product details |



Normally shipped | Available from overseas. Usually dispatched in 14 days
Publisher | Springer London Ltd
Published date | 7 Feb 2013
Language |
Format | Hardback
Pages | 368
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-1-4471-4928-6
Readership Age |
BISAC | computers / computer vision


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