Produktnummer:
185499e2ae5c0e42748cfd0f4b1c93ade6
| Themengebiete: | Decision Forest Kinect Random Decision Forest Random Forests Randomized Trees |
|---|---|
| Veröffentlichungsdatum: | 07.02.2013 |
| EAN: | 9781447149286 |
| Sprache: | Englisch |
| Seitenzahl: | 368 |
| Produktart: | Gebunden |
| Herausgeber: | Criminisi, Antonio Shotton, J |
| Verlag: | Springer London |
Produktinformationen "Decision Forests for Computer Vision and Medical Image Analysis"
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.
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