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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Decision Forests for Computer Vision and Medical Image Analysis
• Autor: Antonio Criminisi, J. Shotton
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 368
• EAN: 9781447149286
• ISBN: 1447149289
• ID: 01426174
• Nakladatelství: Springer London Ltd
• Hmotnost: 766 g
• Rozměry: 242 × 160 × 21 mm
• Datum vydání: 31. January 2013

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