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Decision Forests for Computer Vision and Medical Image Analysis (Advances in Computer Vision and Pattern Recognition) - Tapa dura
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“This book is a comprehensive presentation of the theory and use of decision forests in a wide range of applications, centered on computer vision and medical imaging. The book is strikingly well integrated. ... This is an excellent volume on the concept, theory, and application of decision forests. ... I highly recommend it to those currently working in the field, as well as researchers desiring an introduction to the application of random forests for imaging applications.” (Creed Jones, Computing Reviews, March, 2014)
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.
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- EditorialSpringer
- Año de publicación2013
- ISBN 10 1447149289
- ISBN 13 9781447149286
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- Número de páginas392
- EditorCriminisi Antonio, Shotton J
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Decision Forests for Computer Vision and Medical Image Analysis (Advances in Computer Vision and Pattern Recognition)
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Decision Forests for Computer Vision and Medical Image Analysis (Advances in Computer Vision and Pattern Recognition)
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Decision Forests for Computer Vision and Medical Image Analysis
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Decision Forests for Computer Vision and Medical Image Analysis
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Descripción Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces a flexible decision forest model capable of addressing a large and diverse set of image and video analysis tasks, covering both theoretical foundations and practical implementationIncludes exercises and experiments throughout the text, . Nº de ref. del artículo: 4185108
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Decision Forests for Computer Vision and Medical Image Analysis
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Descripción Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 392 pp. Englisch. Nº de ref. del artículo: 9781447149286
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Decision Forests for Computer Vision and Medical Image Analysis (Advances in Computer Vision and Pattern Recognition)
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ISBN 10: 1447149289
ISBN 13: 9781447149286
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Decision Forests for Computer Vision and Medical Image Analysis
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Descripción Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9781447149286
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Decision Forests for Computer Vision and Medical Image Analysis (Advances in Computer Vision and Pattern Recognition)
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(2013)
ISBN 10: 1447149289
ISBN 13: 9781447149286
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