Edition: 2013
Release: 2013-02-28
Publisher: Springer
Binding: Hardcover
ISBN/ASIN: 1447149289
Decision Forests for Computer Vision and Medical Image Analysis (Advances in Computer Vision and Pattern Recognition)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. Free download Decision Forests for Computer Vision and Medical Image Analysis books collection in PDF, EPUB, FB2, MOBI, and TXT formats. Topics and features: with a foreword by Prof. Y. Amit and Prof. D. Best deals ebooks download Decision Forests for Computer Vision and Medical Image Analysis on amazon.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. Decision Forests for Computer Vision and Medical Image Analysis (Advances in Computer Vision and Pattern Recognition) with free ebook downloads available via rapidshare, mediafire, 4shared, and hotfile.
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