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Neural Information Processing

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

  • 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: Lecture Notes in Computer Science (LNCS, volume 11955)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ICONIP 2019.

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Table of contents (53 papers)

  1. Front Matter

    Pages i-xxi
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  2. Semantic and Graph Based Approaches

    1. Front Matter

      Pages 1-1
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    2. GL2vec: Graph Embedding Enriched by Line Graphs with Edge Features

      • Hong Chen, Hisashi Koga
      Pages 3-14

    3. Joint Semantic Hashing Using Deep Supervised and Unsupervised Methods

      • Kuan Xu, Yu Qiao, Yueyang Gu, Xiaoguang Niu, Suwei Ma, Xiaobin Xiao et al.
      Pages 15-23

    4. Label-Based Deep Semantic Hashing for Cross-Modal Retrieval

      • Weiwei Weng, Jiagao Wu, Lu Yang, Linfeng Liu, Bin Hu
      Pages 24-36

    5. HRec: Heterogeneous Graph Embedding-Based Personalized Point-of-Interest Recommendation

      • Yijun Su, Xiang Li, Daren Zha, Wei Tang, Yiwen Jiang, Ji Xiang et al.
      Pages 37-49

    6. Embedding and Predicting Software Security Entity Relationships: A Knowledge Graph Based Approach

      • Hongbo Xiao, Zhenchang Xing, Xiaohong Li, Hao Guo
      Pages 50-63

    7. SACIC: A Semantics-Aware Convolutional Image Captioner Using Multi-level Pervasive Attention

      • Sandeep Narayan Parameswaran, Sukhendu Das
      Pages 64-76

    8. One Analog Neuron Cannot Recognize Deterministic Context-Free Languages

      • Jiří Šíma, Martin Plátek
      Pages 77-89

    9. Tag-Based Semantic Features for Scene Image Classification

      • Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu
      Pages 90-102

    10. Integrating TM Knowledge into NMT with Double Chain Graph

      • Qiuxiang He, Guoping Huang, Li Li
      Pages 103-114

    11. Learning Transferable Policies with Improved Graph Neural Networks on Serial Robotic Structure

      • Fengyi Zhang, Fangzhou Xiong, Xu Yang, Zhiyong Liu
      Pages 115-126

    12. Visualizing Readable Instance Graphs of Ontology with Memo Graph

      • Fatma Ghorbel, Wafa Wali, Fayçal Hamdi, Elisabeth Métais, Bilel Gargouri
      Pages 127-139

  3. Spiking Neuron and Related Models

    1. Front Matter

      Pages 141-141
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    2. Hippocampus Segmentation in MRI Using Side U-Net Model

      • Wenbin Yao, Shan Wang, Huiyuan Fu
      Pages 143-150

    3. AutoML for DenseNet Compression

      • Wencong Jiao, Tao Li, Guoqiang Zhong, Li-Na Wang
      Pages 151-161

    4. Mechanisms of Reward-Modulated STDP and Winner-Take-All in Bayesian Spiking Decision-Making Circuit

      • Hui Yan, Xinle Liu, Hong Huo, Tao Fang
      Pages 162-172

    5. Homeostasis-Based CNN-to-SNN Conversion of Inception and Residual Architectures

      • Fu Xing, Ye Yuan, Hong Huo, Tao Fang
      Pages 173-184

    6. Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation

      • Megumi Ito, Malte Rasch, Masatoshi Ishii, Atsuya Okazaki, Sangbum Kim, Junka Okazawa et al.
      Pages 185-194

    7. Deep Learning of EEG Data in the NeuCube Brain-Inspired Spiking Neural Network Architecture for a Better Understanding of Depression

      • Dhvani Shah, Grace Y. Wang, Maryam Doborjeh, Zohreh Doborjeh, Nikola Kasabov
      Pages 195-206
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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 three-volume set of LNCS 11953, 11954, and 11955 constitutes the proceedings of the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019.

The 173 full papers presented were carefully reviewed and selected from 645 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The third volume, LNCS 11955, is organized in topical sections on semantic and graph based approaches; 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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