Neural Information Processing
26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part IV
Editors: Gedeon, Tom, Wong, Kevin Kok Wai, Lee, Minho (Eds.)
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- About this book
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The two-volume set CCIS 1142 and 1143 constitutes thoroughly refereed contributions presented at the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019.
For ICONIP 2019 a total of 345 papers was carefully reviewed and selected for publication out of 645 submissions. The 168 papers included in this volume set were organized in topical sections as follows: adversarial networks and learning; convolutional neural networks; deep neural networks; embeddings and feature fusion; human centred computing; human centred computing and medicine; human centred computing for emotion; hybrid models; image processing by neural techniques; learning from incomplete data; model compression and optimization; neural network applications; neural network models; semantic and graph based approaches; social network computing; spiking neuron and related models; text computing using neural techniques; time-series and related models; and unsupervised neural models.
- Table of contents (84 chapters)
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Adversarial Deep Learning with Stackelberg Games
Pages 3-12
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Enhance Feature Representation of Dual Networks for Attribute Prediction
Pages 13-20
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Data Augment in Imbalanced Learning Based on Generative Adversarial Networks
Pages 21-30
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A Deep Learning Scheme for Extracting Pedestrian-Parcel Tuples from Videos
Pages 31-39
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Support Matching: A Novel Regularization to Escape from Mode Collapse in GANs
Pages 40-48
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Table of contents (84 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Neural Information Processing
- Book Subtitle
- 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part IV
- Editors
-
- Tom Gedeon
- Kevin Kok Wai Wong
- Minho Lee
- Series Title
- Communications in Computer and Information Science
- Series Volume
- 1142
- Copyright
- 2019
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-36808-1
- DOI
- 10.1007/978-3-030-36808-1
- Softcover ISBN
- 978-3-030-36807-4
- Series ISSN
- 1865-0929
- Edition Number
- 1
- Number of Pages
- XXIV, 782
- Number of Illustrations
- 95 b/w illustrations, 220 illustrations in colour
- Topics
