Decision Forests for Computer Vision and Medical Image Analysis PDF
By:Antonio Criminisi,J Shotton
Published on 2013-01-30 by Springer Science & Business Media
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.
This Book was ranked at 13 by Google Books for keyword medical imaging computer science.
Book ID of Decision Forests for Computer Vision and Medical Image Analysis's Books is nUhDAAAAQBAJ, Book which was written byAntonio Criminisi,J Shottonhave ETAG "IgGbV5T69Vk"
Book which was published by Springer Science & Business Media since 2013-01-30 have ISBNs, ISBN 13 Code is 9781447149293 and ISBN 10 Code is 1447149297
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