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Titlebook: Hierarchical Neural Networks for Image Interpretation; Sven Behnke Book 2003 Springer-Verlag Berlin Heidelberg 2003 cognition.computer vis

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Supervised Learningork borders, which are relevant for the Neural Abstraction Pyramid architecture. Section 6.3 discusses supervised learning for recurrent networks. The difficulty of gradient computation in recurrent networks makes it necessary to employ algorithms that use only the sign of the gradient to update the weights.
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Book 2003or 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..
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Book 2003r 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 f
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0302-9743 ems. 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
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en Keimspektrum und Dosierungsempfehlungen rasch nachgeschlagen werden. Auch spezielle Probleme, wie z.B. Antibiotika in der Schwangerschaft oder präoperative Infektionsprophylaxe werden in Daschners zehnter Auflage von .Antibiotika am Krankenbett. berücksichtigt. Ein Ratgeber für die tägliche Arbeit in der Klinik.
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