/LC.GIF&client=easterncarolinaedu)
Generalized principal component analysis / René Vidal, Yi Ma, S. Shankar Sastry.
| Author/creator | Vidal, René |
| Other author | Ma, Yi. |
| Other author | Sastry, S. S. |
| Format | Electronic |
| Publication Info | New York, NY : Springer, [2016] |
| Description | xxxii, 566 pages : illustrations (some color) ; 24 cm. |
| Supplemental Content | Full text available from Springer Nature - Springer Mathematics and Statistics eBooks 2016 English International |
| Supplemental Content | Full text available from Springer Books |
| Subjects |
| Series | Interdisciplinary applied mathematics, 0939-6047 ; volume 40 Interdisciplinary applied mathematics ; v. 40. |
| Abstract | This book provides a comprehensive introduction to the latest advances in the mathematical theory and computational tools for modeling high-dimensional data drawn from one or multiple low-dimensional subspaces (or manifolds) and potentially corrupted by noise, gross errors, or outliers. This challenging task requires the development of new algebraic, geometric, statistical, and computational methods for efficient and robust estimation and segmentation of one or multiple subspaces. The book also presents interesting real-world applications of these new methods in image processing, image and video segmentation, face recognition and clustering, and hybrid system identification etc. This book is intended to serve as a textbook for graduate students and beginning researchers in data science, machine learning, computer vision, image and signal processing, and systems theory. It contains ample illustrations, examples, and exercises and is made largely self-contained with three Appendices which survey basic concepts and principles from statistics, optimization, and algebraic-geometry used in this book. |
| Bibliography note | Includes bibliographical references (pages 535-552) and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2015958763 |
| ISBN | 9780387878102 (hbk) |
| ISBN | 0387878106 (hbk) |
| ISBN | (eBook) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |