Item description for Hierarchical Neural Networks for Image Interpretation (Lecture Notes in Computer Science) by 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 booksets 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.
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Est. Packaging Dimensions: Length: 9.1" Width: 5.9" Height: 0.6" Weight: 0.75 lbs.
Release Date Sep 29, 2003
ISBN 3540407227 ISBN13 9783540407225
Availability 108 units. Availability accurate as of May 24, 2017 10:02.
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