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Decision Forests for Computer Vision and Medical Image Analysis
Antonio Criminisi (Ed.)
€ 218.82
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Description for Decision Forests for Computer Vision and Medical Image Analysis
Hardback. This practical, easy-to-follow book reviews the theoretical underpinnings of decision forests, organizing the existing literature in a new, general-purpose forest model. Includes exercises and experiments; slides, videos and more reside at a companion website. Editor(s): Criminisi, Antonio; Shotton, Jamie. Series: Advances in Computer Vision and Pattern Recognition. Num Pages: 387 pages, 7 black & white illustrations, 136 colour illustrations, 21 black & white tables, biograp. BIC Classification: UYQ; UYQP. Category: (P) Professional & Vocational. Dimension: 242 x 160 x 21. Weight in Grams: 686.
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 ... Read more
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 ... Read more
Product Details
Publisher
Springer London Ltd United Kingdom
Number of pages
400
Format
Hardback
Publication date
2013
Series
Advances in Computer Vision and Pattern Recognition
Condition
New
Weight
745g
Number of Pages
368
Place of Publication
England, United Kingdom
ISBN
9781447149286
SKU
V9781447149286
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Decision Forests for Computer Vision and Medical Image Analysis
From the reviews: “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 ... Read more