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Advances in Neural Networks – ISNN 2019

16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Huchuan Lu

    1. Dalian University of Technology, Dalian, China

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  2. Huajin Tang

    1. Sichuan University, Chengdu, China

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  3. Zhanshan Wang

    1. Northeastern University, Shenyang, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11554)

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

Included in the following conference series:

Conference proceedings info: ISNN 2019.

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Table of contents (50 papers)

  1. Front Matter

    Pages i-xxii
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  2. Learning System, Graph Model, and Adversarial Learning

    1. Front Matter

      Pages 1-1
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    2. Fast Training of Deep LSTM Networks

      • Wen Yu, Xiaoou Li, Jesus Gonzalez
      Pages 3-10

    3. Bus Arrival Time Prediction with LSTM Neural Network

      • Anton Agafonov, Alexander Yumaganov
      Pages 11-18

    4. From Differential Equations to Multilayer Neural Network Models

      • Tatiana T. Kaverzneva, Galina F. Malykhina, Dmitriy A. Tarkhov
      Pages 19-27

    5. Projectional Learning Laws for Differential Neural Networks Based on Double-Averaged Sub-Gradient Descent Technique

      • Isaac Chairez, Alexander Poznyak, Alexander Nazin, Tatyana Poznyak
      Pages 28-38

    6. Better Performance of Memristive Convolutional Neural Network Due to Stochastic Memristors

      • Kechuan Wu, Xiaoping Wang, Mian Li
      Pages 39-47

    7. Unsupervised Feature Selection Using RBF Autoencoder

      • Ling Yu, Zhen Zhang, Xuetao Xie, Hua Chen, Jian Wang
      Pages 48-57

    8. A Two-Teacher Framework for Knowledge Distillation

      • Xingjian Chen, Jianbo Su, Jun Zhang
      Pages 58-66

    9. The Neural Network for Online Learning Task Without Manual Feature Extraction

      • Yuriy Fedorenko, Valeriy Chernenkiy, Yuriy Gapanyuk
      Pages 67-76

    10. Graph Convolution and Self Attention Based Non-maximum Suppression

      • Zhe Qiu, Xiaodong Gu
      Pages 77-86

    11. Dynamic Graph CNN with Attention Module for 3D Hand Pose Estimation

      • Xu Jiang, Xiaohong Ma
      Pages 87-96

    12. Graph-FCN for Image Semantic Segmentation

      • Yi Lu, Yaran Chen, Dongbin Zhao, Jianxin Chen
      Pages 97-105

    13. Architecture Search for Image Inpainting

      • Yaoman Li, Irwin King
      Pages 106-115

    14. An Improved Capsule Network Based on Newly Reconstructed Network and the Method of Sharing Parameters

      • Chunyan Lu, Shukai Duan, Lidan Wang
      Pages 116-123

    15. Bidirectional Gated Recurrent Unit Networks for Relation Classification with Multiple Attentions and Semantic Information

      • Bixiao Meng, Baomin XU, Erjing Zhou, Shuangyuan YU, Hongfeng Yin
      Pages 124-132

    16. Functional and Structural Features of Recurrent Neural Networks with Controlled Elements

      • Vasiliy Osipov, Viktor Nikiforov
      Pages 133-140

    17. A GAN-Based Data Augmentation Method for Multimodal Emotion Recognition

      • Yun Luo, Li-Zhen Zhu, Bao-Liang Lu
      Pages 141-150

    18. FG-SRGAN: A Feature-Guided Super-Resolution Generative Adversarial Network for Unpaired Image Super-Resolution

      • Shuailong Lian, Hejian Zhou, Yi Sun
      Pages 151-161

  3. Time Series Analysis, Dynamic Prediction, and Uncertain Estimation

    1. Front Matter

      Pages 163-163
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Other volumes

  1. Advances in Neural Networks – ISNN 2019

  2. Advances in Neural Networks – ISNN 2019

Keywords

About this book

This two-volume set LNCS 11554 and 11555 constitutes the refereed proceedings of the 16th International Symposium on Neural Networks, ISNN 2019, held in Moscow, Russia, in July 2019.

The 111 papers presented in the two volumes were carefully reviewed and selected from numerous submissions. The papers were organized in topical sections named: Learning System, Graph Model, and Adversarial Learning; Time Series Analysis, Dynamic Prediction, and Uncertain Estimation; Model Optimization, Bayesian Learning, and Clustering; Game Theory, Stability Analysis, and Control Method; Signal Processing, Industrial Application, and Data Generation; Image Recognition, Scene Understanding, and Video Analysis; Bio-signal, Biomedical Engineering, and Hardware.

 

Editors and Affiliations

  • Dalian University of Technology, Dalian, China

    Huchuan Lu

  • Sichuan University, Chengdu, China

    Huajin Tang

  • Northeastern University, Shenyang, China

    Zhanshan Wang

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