Skip to main content
  • Conference proceedings
  • © 2018

Neural Information Processing

25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part I

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11301)

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

Conference series link(s): ICONIP: International Conference on Neural Information Processing

Conference proceedings info: ICONIP 2018.

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

This is a preview of subscription content, log in via an institution to check for access.

Table of contents (58 papers)

  1. Deep Neural Networks

    1. Accelerating Deep Q Network by Weighting Experiences

      • Kazuhiro Murakami, Koichi Moriyama, Atsuko Mutoh, Tohgoroh Matsui, Nobuhiro Inuzuka
      Pages 204-213
    2. Exploring Deep Learning Architectures Coupled with CRF Based Prediction for Slot-Filling

      • Tulika Saha, Sriparna Saha, Pushpak Bhattacharyya
      Pages 214-225
    3. Domain Adaptation via Identical Distribution Across Models and Tasks

      • Xuhong Wei, Yefei Chen, Jianbo Su
      Pages 226-237
  2. Convolution Neural Networks

    1. Front Matter

      Pages 249-249
    2. Use 3D Convolutional Neural Network to Inspect Solder Ball Defects

      • Bing-Jhang Lin, Ting-Chen Tsan, Tzu-Chia Tung, You-Hsien Lee, Chiou-Shann Fuh
      Pages 263-274
    3. User-Invariant Facial Animation with Convolutional Neural Network

      • Shuiquan Wang, Zhengxin Cheng, Liang Chang, Xuejun Qiao, Fuqing Duan
      Pages 275-283
    4. An Approach for Feature Extraction and Diagnosis of Motor Rotor Bearing Based on Convolution Neural Network

      • Hao Wang, Dongsheng Yang, Yongheng Pang, Ting Li, Bo Hu
      Pages 284-296
    5. Gated Convolutional Networks for Commonsense Machine Comprehension

      • Wuya Chen, Xiaojun Quan, Chengbo Chen
      Pages 297-306
    6. Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids

      • Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yusof
      Pages 307-318
    7. Human Action Recognition with 3D Convolution Skip-Connections and RNNs

      • Jiarong Song, Zhong Yang, Qiuyan Zhang, Ting Fang, Guoxiong Hu, Jiaming Han et al.
      Pages 319-331
    8. Structured Sequence Modeling with Graph Convolutional Recurrent Networks

      • Youngjoo Seo, Michaël Defferrard, Pierre Vandergheynst, Xavier Bresson
      Pages 362-373
    9. Part-Level Sketch Segmentation and Labeling Using Dual-CNN

      • Xianyi Zhu, Yi Xiao, Yan Zheng
      Pages 374-384
    10. RE-CNN: A Robust Convolutional Neural Networks for Image Recognition

      • Zhe Wang, Wenhuan Lu, Yuqing He, Naixue Xiong, Jianguo Wei
      Pages 385-393
    11. MusicCNNs: A New Benchmark on Content-Based Music Recommendation

      • Guoqiang Zhong, Haizhen Wang, Wencong Jiao
      Pages 394-405
    12. Remote Sensing Image Segmentation by Combining Feature Enhanced with Fully Convolutional Network

      • Ruiguo Yu, Xuzhou Fu, Han Jiang, Chenhan Wang, Xuewei Li, Mankun Zhao et al.
      Pages 406-415

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 first volume, LNCS 11301, is organized in topical sections on deep neural networks, convolutional neural networks, recurrent neural networks, and spiking neural networks.


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

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access