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Decision Forests for Computer Vision and Medical Image Analysis by Antonio Criminisi, J Shotton (Paperback, 2016)

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Author: Criminisi, Antonio ISBN 10: 144716962X. Used-Very Good: The book will be clean without any major stains or markings, the spine will be in excellent shape with only minor creasing, no pages will be missing and the cover is likely to be very clean.

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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 in a hands-on manner.