Overview

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.

ISBN-13

9781447149286

ISBN-10

1447149289

Weight

17.21 Pounds

Dimensions

6.14 x 0.88 x 9.21 In

List Price

$179.99

Edition

1st Edition

Format

Hardcover

Language

English

Pages

xix, 368 pages

Publisher

Springer

Published On

2013-02-07



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