Hierarchical Neural Networks for Image Interpretation - Lecture Notes in Computer Science - Sven Behnke - Grāmatas - Springer-Verlag Berlin and Heidelberg Gm - 9783540407225 - 2003. gada 21. augusts
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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

Mediji Grāmatas     Paperback Book   (Grāmata ar mīksto vāku un līmēto muguru)
Izlaists 2003. gada 21. augusts
ISBN13 9783540407225
Izdevēji Springer-Verlag Berlin and Heidelberg Gm
Lapas 227
Izmēri 156 × 234 × 12 mm   ·   340 g
Valoda Angļu  

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