
Data segmentation and model selection for computer vision
a statistical approach
Edición de la obra Data segmentation and model selection for computer vision
| Autor | David Suter |
|---|---|
| Editorial | Springer |
| Fecha de publicación | 2000 |
| Lugar | New York |
| Idioma | inglés |
| Páginas | 208 |
| ISBN-10 | 0387988157 |
| OCLC | 41580625 |
| LCCN | 99036220 |
| Número de Cutter | S965d |
"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.