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PRICAI 2019: Trends in Artificial Intelligence

16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26–30, 2019, Proceedings, Part II

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Abhaya C. Nayak

    1. Department of Computing, Macquarie University, Sydney, Australia

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    You can also search for this editor in PubMed   Google Scholar

  2. Alok Sharma

    1. RIKEN Center for Integrative Medical Sciences, Yokohama, Japan

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11671)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: PRICAI 2019.

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Table of contents (55 papers)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. Learning Models

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Local Uncorrelated Subspace Learning

      • Bo Li, Xin-Hao Wang, Yong-Kang Peng, Li Chen, Sheng Ding
      Pages 3-11

    3. DLENSO: A Deep Learning ENSO Forecasting Model

      • Dandan He, Pengfei Lin, Hailong Liu, Lei Ding, Jinrong Jiang
      Pages 12-23

    4. Transfer Learning for Financial Time Series Forecasting

      • Qi-Qiao He, Patrick Cheong-Iao Pang, Yain-Whar Si
      Pages 24-36

    5. 3DTI-Net: Learn 3D Transform-Invariant Feature Using Hierarchical Graph CNN

      • Guanghua Pan, Peilin Liu, Jun Wang, Rendong Ying, Fei Wen
      Pages 37-51

    6. Transfer Learning for Driving Pattern Recognition

      • Maoying Li, Liu Yang, Qinghua Hu, Chenyang Shen, Zhibin Du
      Pages 52-65

    7. Towards Meta-learning of Deep Architectures for Efficient Domain Adaptation

      • Abbas Raza Ali, Marcin Budka, Bogdan Gabrys
      Pages 66-79

    8. Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination

      • Dongge Han, Wendelin Böhmer, Michael Wooldridge, Alex Rogers
      Pages 80-92

    9. A Meta-Reinforcement Learning Approach to Optimize Parameters and Hyper-parameters Simultaneously

      • Abbas Raza Ali, Marcin Budka, Bogdan Gabrys
      Pages 93-106

    10. Learning a Gaussian Process Model on the Riemannian Manifold of Non-decreasing Distribution Functions

      • Chafik Samir, Jean-Michel Loubes, Anne-Françoise Yao, François Bachoc
      Pages 107-120

    11. Toward Reciprocity-Aware Distributed Learning in Referral Networks

      • Ashiqur R. KhudaBukhsh, Jaime G. Carbonell
      Pages 121-135

    12. A Novel Thought of Pruning Algorithms: Pruning Based on Less Training

      • Yue Li, Weibin Zhao, Lin Shang
      Pages 136-148

    13. Comparison of Embedded and Wrapper Approaches for Feature Selection in Support Vector Machines

      • Shinichi Yamada, Kourosh Neshatian
      Pages 149-161

    14. Sparse Ordinal Regression via Factorization Machines

      • Weijian Ni, Tong Liu, Qingtian Zeng
      Pages 162-174

    15. An Approach with Low Redundancy to Network Feature Selection Based on Multiple Order Proximity

      • Hengliang Wang, Yuan Li, Chenfei Zhao, Kedian Mu
      Pages 175-187

    16. Distance Dependent Maximum Margin Dirichlet Process Mixture

      • Quan Nguyen, Mikko Lauri, Simone Frintrop
      Pages 188-200

    17. Dynamic Re-ranking with Deep Features Fusion for Person Re-identification

      • Yong Liu, Lin Shang, Andy Song
      Pages 201-213

    18. MFAD: A Multi-modality Face Anti-spoofing Dataset

      • Bingqian Geng, Congyan Lang, Junliang Xing, Songhe Feng, Wu Jun
      Pages 214-225

    19. Deep Learning for Intelligent Train Driving with Augmented BLSTM

      • Jin Huang, Siguang Huang, Yao Liu, Yukun Hu, Yu Jiang
      Pages 226-238
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Other volumes

  1. PRICAI 2019: Trends in Artificial Intelligence

  2. PRICAI 2019: Trends in Artificial Intelligence

  3. PRICAI 2019: Trends in Artificial Intelligence

Keywords

About this book

​This three-volume set, LNAI 11670, LNAI 11671, and LNAI 11672 constitutes  the thoroughly refereed proceedings of the 16th Pacific Rim Conference on Artificial Intelligence, PRICAI 2019, held in Cuvu, Yanuca Island, Fiji, in August 2019.

The 111 full papers and 13 short papers presented in these volumes were carefully reviewed and selected from 265 submissions. PRICAI covers a wide range of topics such as AI theories, technologies and their applications in the areas of social and economic importance for countries in the Pacific Rim.



Editors and Affiliations

  • Department of Computing, Macquarie University, Sydney, Australia

    Abhaya C. Nayak

  • RIKEN Center for Integrative Medical Sciences, Yokohama, Japan

    Alok Sharma

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