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Neural Information Processing

26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part IV

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Tom Gedeon

    1. Australian National University, Canberra, Australia

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  2. Kok Wai Wong

    1. Murdoch University, Murdoch, Australia

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  3. Minho Lee

    1. Kyungpook National University, Daegu, Korea (Republic of)

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1142)

Included in the following conference series:

Conference proceedings info: ICONIP 2019.

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Table of contents (84 papers)

  1. Front Matter

    Pages i-xxiv
    Download chapter PDF

  2. Adversarial Networks and Learning

    1. Front Matter

      Pages 1-1
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    2. Adversarial Deep Learning with Stackelberg Games

      • Aneesh Sreevallabh Chivukula, Xinghao Yang, Wei Liu
      Pages 3-12

    3. Enhance Feature Representation of Dual Networks for Attribute Prediction

      • Yuchun Fang, Yilu Cao, Wei Zhang, Qiulong Yuan
      Pages 13-20

    4. Data Augment in Imbalanced Learning Based on Generative Adversarial Networks

      • Zhuocheng Zhou, Bofeng Zhang, Ying Lv, Tian Shi, Furong Chang
      Pages 21-30

    5. A Deep Learning Scheme for Extracting Pedestrian-Parcel Tuples from Videos

      • Tongtong Wu, Xu Zhang, Fuqing Duan
      Pages 31-39

    6. Support Matching: A Novel Regularization to Escape from Mode Collapse in GANs

      • Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao
      Pages 40-48

    7. Patch-Based Generative Adversarial Network Towards Retinal Vessel Segmentation

      • Waseem Abbas, Muhammad Haroon Shakeel, Numan Khurshid, Murtaza Taj
      Pages 49-56

    8. A Gradient-Based Algorithm to Deceive Deep Neural Networks

      • Tianying Xie, Yantao Li
      Pages 57-65

    9. Writing Style Adversarial Network for Handwritten Chinese Character Recognition

      • Huan Liu, Shujing Lyu, Hongjian Zhan, Yue Lu
      Pages 66-74

    10. Recovering Super-Resolution Generative Adversarial Network for Underwater Images

      • Yang Chen, Jinxuan Sun, Wencong Jiao, Guoqiang Zhong
      Pages 75-83

  3. Convolutional Neural Networks

    1. Front Matter

      Pages 85-85
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    2. Hierarchical Attention CNN and Entity-Aware for Relation Extraction

      • Xinyu Zhu, Gongshen Liu, Bo Su
      Pages 87-94

    3. Fault Tolerant Broad Learning System

      • Muideen Adegoke, Chi-Sing Leung, John Sum
      Pages 95-103

    4. Group Loss: An Efficient Strategy for Salient Object Detection

      • Yikai Hua, Xiaodong Gu
      Pages 104-111

    5. PPGCN: A Message Selection Based Approach for Graph Classification

      • Xinyang Liu, Zheng Liu, Yanwen Qu
      Pages 112-121

    6. Multi-task Temporal Convolutional Network for Predicting Water Quality Sensor Data

      • Yi-Fan Zhang, Peter J. Thorburn, Peter Fitch
      Pages 122-130

    7. CNN-LSTM Neural Networks for Anomalous Database Intrusion Detection in RBAC-Administered Model

      • Tae-Young Kim, Sung-Bae Cho
      Pages 131-139

    8. MC-HDCNN: Computing the Stereo Matching Cost with a Hybrid Dilated Convolutional Neural Network

      • Yunhong Liu, Yizhu Huang
      Pages 140-147

    9. Convolutional Neural Network to Detect Thorax Diseases from Multi-view Chest X-Rays

      • Maram Mahmoud A. Monshi, Josiah Poon, Vera Chung
      Pages 148-158
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Other volumes

  1. Neural Information Processing

  2. Neural Information Processing

  3. Neural Information Processing

  4. Neural Information Processing

  5. Neural Information Processing

Keywords

About this book

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.

Editors and Affiliations

  • Australian National University, Canberra, Australia

    Tom Gedeon

  • Murdoch University, Murdoch, Australia

    Kok Wai Wong

  • Kyungpook National University, Daegu, Korea (Republic of)

    Minho Lee

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