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Neural Information Processing

25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13–16, 2018, Proceedings, Part III

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Long Cheng

    1. The Chinese Academy of Sciences, Beijing, China

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  2. Andrew Chi Sing Leung

    1. City University of Hong Kong, Kowloon, Hong Kong

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    You can also search for this editor in PubMed   Google Scholar

  3. Seiichi Ozawa

    1. Kobe University, Kobe, Japan

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11303)

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

Included in the following conference series:

Conference proceedings info: ICONIP 2018.

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About this book

The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing, ICONIP 2018, held in Siem Reap, Cambodia, in December 2018.

The 401 full papers presented were carefully reviewed and selected from 575 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 11303, is organized in topical sections on embedded learning, transfer learning, reinforcement learning, and other learning approaches.


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Table of contents (59 papers)

  1. Front Matter

    Pages I-XXI
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  2. Embedding Learning

    1. Front Matter

      Pages 1-1
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    2. fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings

      • Subba Reddy Oota, Naresh Manwani, Raju S. Bapi
      Pages 3-15

    3. Named Entity Disambiguation via Probabilistic Graphical Model with Embedding Features

      • Weixin Zeng, Jiuyang Tang, Xiang Zhao, Bin Ge, Weidong Xiao
      Pages 16-27

    4. Category-Embodied Knowledge Embedding

      • Maoyuan Zhang, Qi Wang, Zhou Xu, Jianping Zhu, Shuyuan Sun, Yang Wen
      Pages 28-37

    5. Unsupervised Ensemble Learning Based on Graph Embedding for Image Clustering

      • Xiaohui Luo, Li Zhang, Fanzhang Li, Chengxiang Hu
      Pages 38-47

    6. Potential Probability of Negative Triples in Knowledge Graph Embedding

      • Shengyue Luo, Wei Fang
      Pages 48-58

    7. Event Causality Identification by Modeling Events and Relation Embedding

      • Zhenyu Yang, Wei Liu, Zongtian Liu
      Pages 59-68

    8. Topic-Bigram Enhanced Word Embedding Model

      • Qi Yang, Ruixuan Li, Yuhua Li, Qilei Liu
      Pages 69-81

    9. Hybridized Character-Word Embedding for Korean Traditional Document Translation

      • Hosang Yu, Gil-Jin Jang, Minho Lee
      Pages 82-89

    10. Word Embedding Based on Low-Rank Doubly Stochastic Matrix Decomposition

      • Denis Sedov, Zhirong Yang
      Pages 90-100

    11. Meta-path Based Heterogeneous Graph Embedding for Music Recommendation

      • Qianqi Fang, Ling Liu, Junliang Yu, Junhao Wen
      Pages 101-113

    12. Knowledge Graph Embedding via Entities’ Type Mapping Matrix

      • Md Mostafizur Rahman, Atsuhiro Takasu
      Pages 114-125

    13. A Sentence Similarity Model Based on Word Embeddings and Dependency Syntax-Tree

      • Wenfeng Liu, Peiyu Liu, Jing Yi, Yuzhen Yang, Weitong Liu, Nana Li
      Pages 126-137

  3. Transfer Learning

    1. Front Matter

      Pages 139-139
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    2. Semi-coupled Transform Learning

      • Jyoti Maggu, Angshul Majumdar
      Pages 141-150

    3. A Refined Spatial Transformer Network

      • Chang Shu, Xi Chen, Chong Yu, Hua Han
      Pages 151-161

    4. Convolutional Transform Learning

      • Jyoti Maggu, Emilie Chouzenoux, Giovanni Chierchia, Angshul Majumdar
      Pages 162-174

    5. Delving into Diversity in Substitute Ensembles and Transferability of Adversarial Examples

      • Jie Hang, KeJi Han, Yun Li
      Pages 175-187

    6. Transfer Learning Using Progressive Neural Networks and NMT for Classification Tasks in NLP

      • Ravi Shankar Devanapalli, V. Susheela Devi
      Pages 188-197
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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

  7. Neural Information Processing

Editors and Affiliations

  • The Chinese Academy of Sciences, Beijing, China

    Long Cheng

  • City University of Hong Kong, Kowloon, Hong Kong

    Andrew Chi Sing Leung

  • Kobe University, Kobe, Japan

    Seiichi Ozawa

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