Neural Information Processing

1. Front Matter

   Pages I-XVIII

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2. Deep Learning

   1. Front Matter

      Pages 1-1

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   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

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. 

• Adaptive dynamic programming
• Artificial intelligence
• Biologically inspired computing
• Brain-computer interface
• Computational intelligence
• Artificial Intelligence
• neural networks
• image processing
• machine learning
• signal processing
• image reconstruction
• computer networks
• image segmentation
• imaging systems
• recurrent neural networks
• Support Vector Machines (SVM)
• brain computer interface
• image coding

• 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

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