Decision Forests for Computer Vision and Medical Image Analysis (Advances in Computer Vision and Pattern Recognition)
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. Get and download textbook Decision Forests for Computer Vision and Medical Image Analysis (Advances in Computer Vision and Pattern Recognition) for free
format hardback language english publication year 07 02 2013 series advances in computer vision and pattern recognition subject computing it subject 2 computing professional programming title decision forests for computer vision and medical image analysis author criminisi a editor shotton j editor publisher springer verlag new york inc publication date feb 28 2013 pages 387 binding hardcover edition 2013 dimensions 6 30 wx 9 37 hx 0 79 d isbn 1447149289 subject computers computer vision patter
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 Decision Forests for Computer Vision and Medical Image Analysis new edition
Download free books for Decision Forests For Computer Vision And Medical Image Analysis Criminisi, A. (e
format hardback language english publication year 07 02 2013 series advances in computer vision and pattern recognition subject computing it subject 2 computing professional programming title decision forests for computer vision and medical image analysis author criminisi a editor shotton j editor publisher springer verlag new york inc publication date feb 28 2013 pages 387 binding hardcover edition 2013 dimensions 6 30 wx 9 37 hx 0 79 d isbn 1447149289 subject computers computer vision patter
Store Search search Title, ISBN and Author Decision Forests for Computer Vision and Medical Image Analysis Estimated delivery 3-12 business days Format Hardcover Condition Brand New 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. Publisher Description This practical and easy-to-follow
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 for
Decision Forests for Computer Vision and Medical Image Analysis Textbook
Topics and features: with a foreword by Prof. Y. Amit and Prof. D
opics 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
