Hierarchical neural networks for image interpretation
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 lim...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| سلاسل: | Lecture notes in computer science
2766 |
| الموضوعات: | |
| الوصول للمادة أونلاين: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| ملاحظة: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Hierarchical neural networks for image interpretation, Sven Behnke, Berlin, Springer, 2003, 1 vol. (XII-224 p.), Lecture notes in computer science, 3-540-40722-7 • Hierarchical Neural Networks for Image Interpretation, Texte imprimé, 9783662202609 |
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| 001 | 948754 | ||
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| 009 | PPN155186086 | ||
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| 041 | 0 | |a eng | |
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| 100 | 1 | |a Behnke, Sven. | |
| 245 | 1 | 0 | |a Hierarchical neural networks for image interpretation |c Sven Behnke. |
| 260 | |a Berlin [etc.] : |b Springer. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture notes in computer science |v 2766 |x 1611-3349 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a I. Theory -- Neurobiological Background -- Related Work -- Neural Abstraction Pyramid Architecture -- Unsupervised Learning -- Supervised Learning -- II. Applications -- Recognition of Meter Values -- Binarization of Matrix Codes -- Learning Iterative Image Reconstruction -- Face Localization -- Summary and Conclusions. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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. | ||
| 650 | |a Informatique | ||
| 650 | |a Algorithmes | ||
| 650 | |a Intelligence artificielle | ||
| 650 | |a Traitement d'images |x Techniques numériques | ||
| 650 | |a Vision par ordinateur | ||
| 650 | |a Traitement d'images | ||
| 650 | |a Réseaux neuronaux (informatique) | ||
| 650 | |a Perception des structures | ||
| 650 | |a Philosophie et neurosciences | ||
| 776 | 0 | |0 075015986 |t Hierarchical neural networks for image interpretation |f Sven Behnke |c Berlin |n Springer |d 2003 |p 1 vol. (XII-224 p.) |s Lecture notes in computer science |z 3-540-40722-7 | |
| 776 | 0 | |t Hierarchical Neural Networks for Image Interpretation |b Texte imprimé |z 9783662202609 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/b11963 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-T5PNST1Z-M |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:748054855 |u https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.1007/b11963 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:751506125 |u https://ezproxy.insa-cvl.fr/login?qurl=https://doi.org/10.1007/b11963 |z Accès INSA CVL | |
| 997 | |0 948754 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||