Decision Forests for Computer Vision and Medical Image Analysis (Hardcover) (ISBN-13: 9781447149286)

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.

Author: Antonio Criminisi
ISBN-10: 1447149289
ISBN-13: 9781447149286
Publisher: Springer
Language: English
Published: 02/07/2013
Pages: 368
Format: Hardcover
Weight: 1.96lbs
Size: 9.47h x 6.27w x 0.99d