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Neural Information Processing

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

  • Derong Liu
  • Shengli Xie
  • Yuanqing Li
  • Dongbin Zhao
  • El-Sayed M. El-Alfy
Conference proceedings ICONIP 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10634)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 10634)

Table of contents

  1. Front Matter
    Pages I-XVIII
    PDF

  2. Machine Learning

    1. Front Matter
      Pages 1-1
      PDF
    2. Improving Generalization Capability of Extreme Learning Machine with Synthetic Instances Generation
      Wei Ao, Yulin He, Joshua Zhexue Huang, Yupeng He
      Pages 3-12
    3. Adaptive \(L_p\)\((0<p<1)\) Regularization: Oracle Property and Applications
      Yunxiao Shi, Xiangnan He, Han Wu, Zhong-Xiao Jin, Wenlian Lu
      Pages 13-23
    4. Fuzzy Self-Organizing Incremental Neural Network for Fuzzy Clustering
      Tianyue Zhang, Baile Xu, Furao Shen
      Pages 24-32
    5. Stochastic Online Kernel Selection with Instantaneous Loss in Random Feature Space
      Zhizhuo Han, Shizhong Liao
      Pages 33-42
    6. Topology Learning Embedding: A Fast and Incremental Method for Manifold Learning
      Tao Zhu, Furao Shen, Jinxi Zhao, Yu Liang
      Pages 43-52
    7. Hybrid RVM Algorithm Based on the Prediction Variance
      Fang Liu, Fei Zhao, Mi Tong, Yan Yang, Zhenhao Yu
      Pages 53-63
    8. Quality Control for Crowdsourced Multi-label Classification Using RAkEL
      Kosuke Yoshimura, Yukino Baba, Hisashi Kashima
      Pages 64-73
    9. A Self-adaptive Growing Method for Training Compact RBF Networks
      Baile Xu, Furao Shen, Jinxi Zhao, Tianyue Zhang
      Pages 74-81
    10. Incremental Extreme Learning Machine via Fast Random Search Method
      Zhihui Lao, Zhiheng Zhou, Junchu Huang
      Pages 82-90
    11. Learning of Phase-Amplitude-Type Complex-Valued Neural Networks with Application to Signal Coherence
      Rongrong Wu, He Huang, Tingwen Huang
      Pages 91-99
    12. Application of Instruction-Based Behavior Explanation to a Reinforcement Learning Agent with Changing Policy
      Yosuke Fukuchi, Masahiko Osawa, Hiroshi Yamakawa, Michita Imai
      Pages 100-108
    13. Using Flexible Neural Trees to Seed Backpropagation
      Peng Wu, Jeff Orchard
      Pages 109-116
    14. Joint Neighborhood Subgraphs Link Prediction
      Dinh Tran-Van, Alessandro Sperduti, Fabrizio Costa
      Pages 117-123
    15. Multimodal Fusion with Global and Local Features for Text Classification
      Cheng Xu, Yue Wu, Zongtian Liu
      Pages 124-134
    16. Learning Deep Neural Network Based Kernel Functions for Small Sample Size Classification
      Tieran Zheng, Jiqing Han, Guibin Zheng
      Pages 135-143
    17. Relation Classification via CNN, Segmented Max-pooling, and SDP-BLSTM
      Pengfei Wang, Zhipeng Xie, Junfeng Hu
      Pages 144-154
    18. Binary Stochastic Representations for Large Multi-class Classification
      Thomas Gerald, Nicolas Baskiotis, Ludovic Denoyer
      Pages 155-165
    19. Solving the Local-Minimum Problem in Training Deep Learning Machines
      James Ting-Ho Lo, Yichuan Gui, Yun Peng
      Pages 166-174
    20. The Sample Selection Model Based on Improved Autoencoder for the Online Questionnaire Investigation
      Yijie Pang, Shaochun Wu, Honghao Zhu
      Pages 175-184
    21. Hybrid Collaborative Recommendation via Semi-AutoEncoder
      Shuai Zhang, Lina Yao, Xiwei Xu, Sen Wang, Liming Zhu
      Pages 185-193
    22. Time Series Classification with Deep Neural Networks Based on Hurst Exponent Analysis
      Xinjuan Li, Jie Yu, Lingyu Xu, Gaowei Zhang
      Pages 194-204
    23. Deep Learning Model for Sentiment Analysis in Multi-lingual Corpus
      Lisa Medrouk, Anna Pappa
      Pages 205-212
    24. Differential Evolution Memetic Document Clustering Using Chaotic Logistic Local Search
      Ibraheem Al-Jadir, Kok Wai Wong, Chun Che Fung, Hong Xie
      Pages 213-221
    25. Completion of High Order Tensor Data with Missing Entries via Tensor-Train Decomposition
      Longhao Yuan, Qibin Zhao, Jianting Cao
      Pages 222-229
    26. GASOM: Genetic Algorithm Assisted Architecture Learning in Self Organizing Maps
      Ashutosh Saboo, Anant Sharma, Tirtharaj Dash
      Pages 230-239
    27. A Nonnegative Projection Based Algorithm for Low-Rank Nonnegative Matrix Approximation
      Peitao Wang, Zhaoshui He, Kan Xie, Junbin Gao, Michael Antolovich
      Pages 240-247
    28. Multi-view Label Space Dimension Reduction
      Qi Hu, Pengfei Zhu, Changqing Zhang, Qinghua Hu
      Pages 248-258
    29. Large-Margin Supervised Hashing
      Xiaopeng Zhang, Hui Zhang, Yong Chen, Xianglong Liu
      Pages 259-269
    30. Three-Dimensional Surface Feature for Hyperspectral Imagery Classification
      Sen Jia, Kuilin Wu, Meng Zhang, Jie Hu
      Pages 270-278
    31. Stochastic Sequential Minimal Optimization for Large-Scale Linear SVM
      Shili Peng, Qinghua Hu, Jianwu Dang, Zhichao Peng
      Pages 279-288
    32. Robust Kernel Approximation for Classification
      Fanghui Liu, Xiaolin Huang, Cheng Peng, Jie Yang, Nikola Kasabov
      Pages 289-296
    33. A Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering
      Keiji Tatsumi, Yuki Kawashita, Takahumi Sugimoto
      Pages 297-304
    34. Multi-label Learning with Label-Specific Feature Selection
      Yan Yan, Shining Li, Zhe Yang, Xiao Zhang, Jing Li, Anyi Wang et al.
      Pages 305-315
    35. Neural Networks for Efficient Nonlinear Online Clustering
      Yanis Bahroun, Eugénie Hunsicker, Andrea Soltoggio
      Pages 316-324
    36. Multiple Scale Canonical Correlation Analysis Networks for Two-View Object Recognition
      Xinghao Yang, Weifeng Liu
      Pages 325-334
    37. A Novel Newton-Type Algorithm for Nonnegative Matrix Factorization with Alpha-Divergence
      Satoshi Nakatsu, Norikazu Takahashi
      Pages 335-344
    38. Iterative Local Hyperlinear Learning Based Relief for Feature Weight Estimation
      Xiaojuan Huang, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li
      Pages 345-355
    39. Projected Kernel Recursive Least Squares Algorithm
      Ji Zhao, Hongbin Zhang
      Pages 356-365
    40. Resource Allocation and Optimization Based on Queuing Theory and BP Network
      Hong Tang, Delu Zeng, Xin Liu, Jiabin Huang, Yinghao Liao
      Pages 366-374
    41. Linear Dimensionality Reduction for Time Series
      Nikolaos Gianniotis
      Pages 375-383
    42. An Effective Martin Kernel for Time Series Classification
      Liangang Zhang, Yang Li, Huanhuan Chen
      Pages 384-393
    43. Text Classification Using Lifelong Machine Learning
      Muhammad Hassan Arif, Xin Jin, Jianxin Li, Muhammad Iqbal
      Pages 394-404
    44. Wake-Sleep Variational Autoencoders for Language Modeling
      Xiaoyu Shen, Hui Su, Shuzi Niu, Dietrich Klakow
      Pages 405-414
    45. Educational and Non-educational Text Classification Based on Deep Gaussian Processes
      Huijuan Wang, Jing Zhao, Zeheng Tang, Shiliang Sun
      Pages 415-423
    46. A Generalized I-ELM Algorithm for Handling Node Noise in Single-Hidden Layer Feedforward Networks
      Hiu Tung Wong, Chi-Sing Leung, Sam Kwong
      Pages 424-433
    47. Locality-Sensitive Term Weighting for Short Text Clustering
      Chu-Tao Zheng, Sheng Qian, Wen-Ming Cao, Hau-San Wong
      Pages 434-444
    48. A Comparison of Supervised Machine Learning Algorithms for Classification of Communications Network Traffic
      Pramitha Perera, Yu-Chu Tian, Colin Fidge, Wayne Kelly
      Pages 445-454
    49. Emotion Classification from Electroencephalogram Using Fuzzy Support Vector Machine
      Anuchin Chatchinarat, Kok Wai Wong, Chun Che Fung
      Pages 455-462

Other volumes

  1. Neural Information Processing
    24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part I
  2. Neural Information Processing
    24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part II
  3. Neural Information Processing
    24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part III
  4. Neural Information Processing
    24th International Conference, ICONIP 2017, Guangzhou, China, November 14–18, 2017, Proceedings, Part IV
  5. Neural Information Processing
    24th International Conference, ICONIP 2017, Guangzhou, China, November 14–18, 2017, Proceedings, Part V
  6. Neural Information Processing
    24th International Conference, ICONIP 2017, Guangzhou, China, November 14–18, 2017, Proceedings, Part VI

About these proceedings

Introduction

The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues 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. 

Keywords

Adaptive dynamic programming Artificial intelligence Biologically inspired computing Brain-computer interface Computational intelligence Artificial Intelligence machine learning learning algorithms neural networks Support Vector Machines (SVM data mining signal processing reinforcement learning genetic algorithms clustering algorithms support vector classifiers

Editors and affiliations

  • Derong Liu
    • 1
  • Shengli Xie
    • 2
  • Yuanqing Li
    • 3
  • Dongbin Zhao
    • 4
  • El-Sayed M. El-Alfy
    • 5
  1. 1.Guangdong University of TechnologyGuangzhouChina
  2. 2.Guangdong University of TechnologyGuangzhouChina
  3. 3.South China University of TechnologyGuangzhouChina
  4. 4.Institute of AutomationChinese Academy of SciencesBeijingChina
  5. 5.King Fahd University of Petroleum and MineralsDhahranSaudi Arabia

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