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Hierarchical Neural Networks for Image Interpretation / / by Sven Behnke



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Autore: Behnke Sven Visualizza persona
Titolo: Hierarchical Neural Networks for Image Interpretation / / by Sven Behnke Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003
Edizione: 1st ed. 2003.
Descrizione fisica: 1 online resource (XIII, 227 p.)
Disciplina: 006.37
Soggetto topico: Computers
Neurosciences
Algorithms
Artificial intelligence
Optical data processing
Pattern perception
Computation by Abstract Devices
Algorithm Analysis and Problem Complexity
Artificial Intelligence
Image Processing and Computer Vision
Pattern Recognition
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Hierarchical neural networks for image interpretation  Visualizza cluster
ISBN: 3-540-45169-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910144025803321
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Serie: Lecture Notes in Computer Science, . 0302-9743 ; ; 2766