Hierarchical Neural Networks for Image Interpretation - Lecture Notes in Computer Science - Sven Behnke - Books - Springer-Verlag Berlin and Heidelberg Gm - 9783540407225 - August 21, 2003
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Sven Behnke
Hierarchical Neural Networks for Image Interpretation - Lecture Notes in Computer Science 2003 edition

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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

Media Books     Paperback Book   (Book with soft cover and glued back)
Released August 21, 2003
ISBN13 9783540407225
Publishers Springer-Verlag Berlin and Heidelberg Gm
Pages 227
Dimensions 156 × 234 × 12 mm   ·   340 g
Language English  

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