Decision Forests for Computer Vision and Medical Image Analysis is popular PDF and ePub book, written by Antonio Criminisi in 2013-01-30, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Decision Forests for Computer Vision and Medical Image Analysis can be Read Online from any device for your convenience.
Decision Forests for Computer Vision and Medical Image Analysis Book PDF Summary
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.
Detail Book of Decision Forests for Computer Vision and Medical Image Analysis PDF
- Author : Antonio Criminisi
- Release : 30 January 2013
- Publisher : Springer Science & Business Media
- ISBN : 9781447149293
- Genre : Computers
- Total Page : 367 pages
- Language : English
- PDF File Size : 15,5 Mb
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