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"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.
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Data segmentation and model selection for computer vision: a statistical approach
2000, Springer
in English
0387988157 9780387988153
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Includes bibliographical references (p. [185]-204).
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- Created April 1, 2008
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July 11, 2024 | Edited by MARC Bot | import existing book |
February 11, 2023 | Edited by BWBImportBot | Modified local IDs, source records |
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April 1, 2008 | Created by an anonymous user | Imported from Scriblio MARC record |