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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 Sven Behnke 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))?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Sven Behnke
- Publisher
- Springer Berlin Heidelberg : Imprint : Springer
- Published
- 2008
- Language
- EN
- ISBN
- 9783540407225
- Category
- nonfiction
- Subjects
- Engineering, Mathematics, Computer Science
Other editions & translations
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