Can I read Hierarchical Neural Networks for Image Interpretation (Lecture Notes in Computer Science (2766)) on EtoBox?

Hierarchical Neural Networks for Image Interpretation (Lecture Notes in Computer Science (2766)) by Goos, Gerhard;Hartmanis, Juris;Van Leeuwen, Jan is a nonfiction available to read on EtoBox.

What is Hierarchical Neural Networks for Image Interpretation (Lecture Notes in Computer Science (2766)) about?

<p>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.</p> <p>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.</p> <p>Applications of the proposed architecture are illustrated using small networks. Furthermore, several larger networks were trained to perform various nontrivial computer vision tasks.</p>

Who reads Hierarchical Neural Networks for Image Interpretation (Lecture Notes in Computer Science (2766))?

Author

Goos, Gerhard;Hartmanis, Juris;Van Leeuwen, Jan

Publisher

Springer Berlin Heidelberg : Imprint : Springer

Published

2003

Language

EN

ISBN

9783540407225

Category

nonfiction

Subjects

Mathematics, Engineering, Science