Data Segmentation and Model Selection for Computer Vision
54 min read
Rate this book:
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.
"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.
Buy This Book
As an Amazon Associate and Bookshop.org affiliate, BookOrb earns from qualifying purchases.
Write a Review
Sign in to write a review.