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Neural Information Processing

24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part II

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Derong Liu

    1. Guangdong University of Technology, Guangzhou, China

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  2. Shengli Xie

    1. Guangdong University of Technology, Guangzhou, China

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  3. Yuanqing Li

    1. South China University of Technology, Guangzhou, China

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  4. Dongbin Zhao

    1. Institute of Automation, Chinese Academy of Sciences, Beijing, China

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  5. El-Sayed M. El-Alfy

    1. King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10635)

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

Included in the following conference series:

Conference proceedings info: ICONIP 2017.

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Table of contents (93 papers)

  1. Front Matter

    Pages I-XVIII
    Download chapter PDF

  2. Deep Learning

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Tree-Structure CNN for Automated Theorem Proving

      • Kebin Peng, Dianfu Ma
      Pages 3-12

    3. Training Deep Autoencoder via VLC-Genetic Algorithm

      • Qazi Sami Ullah Khan, Jianwu Li, Shuyang Zhao
      Pages 13-22

    4. Training Very Deep Networks via Residual Learning with Stochastic Input Shortcut Connections

      • Oyebade K. Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Björn Ottersten
      Pages 23-33

    5. Knowledge Memory Based LSTM Model for Answer Selection

      • Weijie An, Qin Chen, Yan Yang, Liang He
      Pages 34-42

    6. Breast Cancer Malignancy Prediction Using Incremental Combination of Multiple Recurrent Neural Networks

      • Dehua Chen, Guangjun Qian, Cheng Shi, Qiao Pan
      Pages 43-52

    7. TinyPoseNet: A Fast and Compact Deep Network for Robust Head Pose Estimation

      • Shanru Li, Liping Wang, Shuang Yang, Yuanquan Wang, Chongwen Wang
      Pages 53-63

    8. Two-Stage Temporal Multimodal Learning for Speaker and Speech Recognition

      • Qianli Ma, Lifeng Shen, Ruishi Su, Jieyu Chen
      Pages 64-72

    9. SLICE: Structural and Label Information Combined Embedding for Networks

      • Yiqi Chen, Tieyun Qian
      Pages 73-81

    10. An Ultrasonic Image Recognition Method for Papillary Thyroid Carcinoma Based on Depth Convolution Neural Network

      • Wei Ke, Yonghua Wang, Pin Wan, Weiwei Liu, Hailiang Li
      Pages 82-91

    11. An STDP-Based Supervised Learning Algorithm for Spiking Neural Networks

      • Zhanhao Hu, Tao Wang, Xiaolin Hu
      Pages 92-100

    12. An End-to-End Approach for Bearing Fault Diagnosis Based on a Deep Convolution Neural Network

      • Liang Chen, Yuxuan Zhuang, Jinghua Zhang, Jianming Wang
      Pages 101-109

    13. Morph-CNN: A Morphological Convolutional Neural Network for Image Classification

      • Dorra Mellouli, Tarek M. Hamdani, Mounir Ben Ayed, Adel M. Alimi
      Pages 110-117

    14. Combating Adversarial Inputs Using a Predictive-Estimator Network

      • Jeff Orchard, Louis Castricato
      Pages 118-125

    15. A Parallel Forward-Backward Propagation Learning Scheme for Auto-Encoders

      • Yoshihiro Ohama, Takayoshi Yoshimura
      Pages 126-136

    16. Relation Classification via Target-Concentrated Attention CNNs

      • Jizhao Zhu, Jianzhong Qiao, Xinxiao Dai, Xueqi Cheng
      Pages 137-146

    17. Comparing Hybrid NN-HMM and RNN for Temporal Modeling in Gesture Recognition

      • Nicolas Granger, Mounîm A. el Yacoubi
      Pages 147-156

    18. Patterns Versus Characters in Subword-Aware Neural Language Modeling

      • Rustem Takhanov, Zhenisbek Assylbekov
      Pages 157-166

    19. Hierarchical Attention BLSTM for Modeling Sentences and Documents

      • Xiaolei Niu, Yuexian Hou
      Pages 167-177
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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

  6. Neural Information Processing

Keywords

About this book

The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constituts the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563  full papers presented were carefully reviewed and selected from 856 submissions. The 6 volumes are organized in topical sections on Machine Learning, Reinforcement Learning, Big Data Analysis, Deep Learning, Brain-Computer Interface, Computational Finance, Computer Vision, Neurodynamics, Sensory Perception and Decision Making, Computational Intelligence, Neural Data Analysis, Biomedical Engineering, Emotion and Bayesian Networks, Data Mining, Time-Series Analysis, Social Networks, Bioinformatics, Information Security and Social Cognition, Robotics and Control, Pattern Recognition, Neuromorphic Hardware and Speech Processing. 

Editors and Affiliations

  • Guangdong University of Technology, Guangzhou, China

    Derong Liu, Shengli Xie

  • South China University of Technology, Guangzhou, China

    Yuanqing Li

  • Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Dongbin Zhao

  • King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

    El-Sayed M. El-Alfy

Bibliographic Information

  • Book Title: Neural Information Processing

  • Book Subtitle: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part II

  • Editors: Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M. El-Alfy

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-70096-0

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing AG 2017

  • Softcover ISBN: 978-3-319-70095-3Published: 26 October 2017

  • eBook ISBN: 978-3-319-70096-0Published: 07 November 2017

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVIII, 926

  • Number of Illustrations: 380 b/w illustrations

  • Topics: Artificial Intelligence, Image Processing and Computer Vision

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