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Hierarchical Neural Networks for Image Interpretation
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Introduction
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Chapter 2
Neurobiological Background
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Chapter 3
Related Work
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Chapter 4
Neural Abstraction Pyramid Architecture
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Chapter 5
Unsupervised Learning
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Chapter 6
Supervised Learning
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Chapter 7
Recognition of Meter Values
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Chapter 8
Binarization of Matrix Codes
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Chapter 9
Learning Iterative Image Reconstruction
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Chapter 10
Face Localization
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Chapter 11
Summary and Conclusions
Overall attention for this book and its chapters
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About this Attention Score
Good Attention Score compared to outputs of the same age (76th percentile)
Above-average Attention Score compared to outputs of the same age and source (59th percentile)
Mentioned by
syllabi
2
institutions with syllabi
wikipedia
15
Wikipedia pages
Citations
dimensions_citation
148
Dimensions
Readers on
mendeley
266
Mendeley
Book overview
1. Introduction
2. Neurobiological Background
3. Related Work
4. Neural Abstraction Pyramid Architecture
5. Unsupervised Learning
6. Supervised Learning
7. Recognition of Meter Values
8. Binarization of Matrix Codes
9. Learning Iterative Image Reconstruction
10. Face Localization
11. Summary and Conclusions
Summary
Syllabi
Wikipedia
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
5
syllabi from
2
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
University of Edinburgh
1
Unknown
Unknown
4
Business, Area and Ethnic Studies, Engineering, Art, Religious Studies