Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing
28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part III
Editors: Tetko, I., Kůrková, V., Karpov, P., Theis, F. (Eds.)
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- About this book
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The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.
- Table of contents (57 chapters)
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Unsharp Masking Layer: Injecting Prior Knowledge in Convolutional Networks for Image Classification
Pages 3-16
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Distortion Estimation Through Explicit Modeling of the Refractive Surface
Pages 17-28
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Eye Movement-Based Analysis on Methodologies and Efficiency in the Process of Image Noise Evaluation
Pages 29-40
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IBDNet: Lightweight Network for On-orbit Image Blind Denoising
Pages 41-52
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Aggregating Rich Deep Semantic Features for Fine-Grained Place Classification
Pages 55-67
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Table of contents (57 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing
- Book Subtitle
- 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part III
- Editors
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- Igor Tetko
- Věra Kůrková
- Pavel Karpov
- Fabian Theis
- Series Title
- Theoretical Computer Science and General Issues
- Series Volume
- 11729
- Copyright
- 2019
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-30508-6
- DOI
- 10.1007/978-3-030-30508-6
- Softcover ISBN
- 978-3-030-30507-9
- Edition Number
- 1
- Number of Pages
- XXX, 733
- Number of Illustrations
- 144 b/w illustrations, 273 illustrations in colour
- Topics
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