Decision Forests for Computer Vision and Medical Image Analysis
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ISBN13: 9781447149293
|9781447149293
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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 ina hands-on manner.
| ISBN-13 | 9781447149293 |
|---|---|
| ISBN-10 | 1447149297 |
| List Price | $149.00 |
| Format | - |
|---|---|
| Language | English |
| Pages | xix, 368 pages |
| Publisher | Not Avail |
| Published On | 2013-01-30 |
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