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Data segmentation and model selection for computer visionData segmentation and model selection for computer vision

Data segmentation and model selection for computer vision

David Suter

About this book

"This unique interdisciplinary book contains research material from two relatively distinct communities: statisticians working on robust techniques for model fitting and model selection; and engineers and computer scientists working on problems involving data segmentation.". "For statisticians, the book contains a convenient summary of recent work in their community and provides them with an excellent primer on the problems of data segmentation within a machine-vision context. For engineers and computer scientists, the book provides both a convenient entry into current research in data segmentation and a synopsis of the main statistical ideas relevant to a study on the subject within a statistical context.". "The book presents material at a level appropriate for advanced undergraduates, graduate students, and researchers in statistics, computer science, and computer engineering. It can also serve as an up-to-date resource for a seminar series at the postgraduate level."--BOOK JACKET.

Details

OL Work ID
OL18298545W

Subjects

Computer visionVision par ordinateurMaschinelles SehenBildsegmentierungRobuste Statistik

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Book data from Open Library. Cover images courtesy of Open Library.