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Hierarchical Neural Networks for Image Interpretation - Lecture Notes in Computer Science Sven Behnke 2003 edition
Hierarchical Neural Networks for Image Interpretation - Lecture Notes in Computer Science
Sven Behnke
Human performance in visual perception by far exceeds the performance of contemporary computer vision systems. While humans are able to perceive their environment almost instantly and reliably under a wide range of conditions, computer vision systems work well only under controlled conditions in limited domains.
This book sets out to reproduce the robustness and speed of human perception by proposing a hierarchical neural network architecture for iterative image interpretation. The proposed architecture can be trained using unsupervised and supervised learning techniques.
Applications of the proposed architecture are illustrated using small networks. Furthermore, several larger networks were trained to perform various nontrivial computer vision tasks.
227 pages, biography
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 21 de agosto de 2003 |
| ISBN13 | 9783540407225 |
| Editores | Springer-Verlag Berlin and Heidelberg Gm |
| Páginas | 227 |
| Dimensiones | 156 × 234 × 12 mm · 340 g |
| Lengua | Inglés |
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