Machine Learning in Computer Vision
| Author/creator | Sebe, Nicu Author |
| Other author | Cohen, Ira Author |
| Other author | Garg, Ashutosh Author |
| Other author | Huang, Thomas S. Author |
| Format | Electronic |
| Publication Info | New York : Springer |
| Description | xv, 242 p. ill 24.000 x 016.000 cm. |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Series | Computational Imaging and Vision Ser. Vol. 29 |
| Summary | Annotation The goal of this book is to address the use of several important machine learning techniques into computer vision applications. An innovative combination of computer vision and machine learning techniques has the promise of advancing the field of computer vision, which contributes to better understanding of complex real-world applications. The effective usage of machine learning technology in real-world computer vision problems requires understanding the domain of application, abstraction of a learning problem from a given computer vision task, and the selection of appropriate representations for the learnable (input) and learned (internal) entities of the system.In this book, we address all these important aspects from a new perspective: that the key element in the current computer revolution is the use of machine learning to capture the variations in visual appearance, rather than having the designer of the model accomplish this. As a bonus, models learned from large datasets are likely to be more robust and more realistic than the brittle all-design models. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2005283108 |
| ISBN | 9781402032745 |
| ISBN | 1402032749 (Trade Cloth) Active Record |
| Standard identifier# | 9781402032745 |
| Stock number | 1402032749 00024965 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |