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PRICAI 2018: Trends in Artificial Intelligence

15th Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, August 28–31, 2018, Proceedings, Part I

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Xin Geng

    1. Southeast University, Nanjing, China

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  2. Byeong-Ho Kang

    1. University of Tasmania, Hobart, Australia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11012)

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

Included in the following conference series:

Conference proceedings info: PRICAI 2018.

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About this book

This two-volume set, LNAI 11012 and 11013, constitutes  the thoroughly refereed proceedings of the 15th Pacific Rim Conference on Artificial Intelligence, PRICAI 2018, held in Nanjing, China, in August 2018.

The 82 full papers and 58 short papers presented in these volumes were carefully reviewed and selected from 382 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.


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Table of contents (82 papers)

  1. Front Matter

    Pages I-XXIX
    Download chapter PDF

  2. HAVAE: Learning Prosodic-Enhanced Representations of Rap Lyrics

    • Hongru Liang, Qian Li, Haozheng Wang, Hang Li, Jun Wang, Zhe Sun et al.
    Pages 1-15

  3. DKE-RLS: A Manifold Reconstruction Algorithm in Label Spaces with Double Kernel Embedding-Regularized Least Square

    • Chao Tan, Genlin Ji
    Pages 16-28

  4. Learning Relations from Social Tagging Data

    • Hang Dong, Wei Wang, Frans Coenen
    Pages 29-41

  5. Selecting Optimal Source for Transfer Learning in Bayesian Optimisation

    • Anil Ramachandran, Sunil Gupta, Santu Rana, Svetha Venkatesh
    Pages 42-56

  6. Fast Spatially-Regularized Correlation Filters for Visual Object Tracking

    • Pengyu Zhang, Qing Guo, Wei Feng
    Pages 57-70

  7. Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation

    • Lei Wang, Zhao Zhang, Sheng Li, Guangcan Liu, Chenping Hou, Jie Qin
    Pages 71-84

  8. Adaptively Shaping Reinforcement Learning Agents via Human Reward

    • Chao Yu, Dongxu Wang, Tianpei Yang, Wenxuan Zhu, Yuchen Li, Hongwei Ge et al.
    Pages 85-97

  9. Incomplete Multi-view Clustering via Structured Graph Learning

    • Jie Wu, Wenzhang Zhuge, Hong Tao, Chenping Hou, Zhao Zhang
    Pages 98-112

  10. DeepRSD: A Deep Regression Method for Sequential Data

    • Xishun Wang, Minjie Zhang, Fenghui Ren
    Pages 113-125

  11. Single Image Super-Resolution via Perceptual Loss Guided by Denoising Auto-Encoder

    • Zhong-Han Niu, Lu-Fei Liu, Kai-Jun Zhang, Jian-Feng Dong, Yu-Bin Yang, Xiao-Jiao Mao
    Pages 126-136

  12. Context-Aware Phrase Representation for Statistical Machine Translation

    • Zhiwei Ruan, Jinsong Su, Deyi Xiong, Rongrong Ji
    Pages 137-149

  13. Collaborating Aesthetic Change and Heterogeneous Information into Recommender Systems

    • Zongze Jin, Yun Zhang, Weimin Mu, Weiping Wang, Hai Jin
    Pages 150-162

  14. Latent Subspace Representation for Multiclass Classification

    • Jing Hu, Changqing Zhang, Xiao Wang, Pengfei Zhu, Zheng Wang, Qinghua Hu
    Pages 163-176

  15. Low-Rank Graph Regularized Sparse Coding

    • Yupei Zhang, Shuhui Liu, Xuequn Shang, Ming Xiang
    Pages 177-190

  16. Decentralized Multiagent Reinforcement Learning for Efficient Robotic Control by Coordination Graphs

    • Chao Yu, Dongxu Wang, Jiankang Ren, Hongwei Ge, Liang Sun
    Pages 191-203

  17. Construction of Microblog-Specific Chinese Sentiment Lexicon Based on Representation Learning

    • Li Kong, Chuanyi Li, Jidong Ge, Yufan Yang, Feifei Zhang, Bin Luo
    Pages 204-216

  18. Phonologically Aware BiLSTM Model for Mongolian Phrase Break Prediction with Attention Mechanism

    • Rui Liu, FeiLong Bao, Guanglai Gao, Hui Zhang, Yonghe Wang
    Pages 217-231

  19. Multi-label Crowdsourcing Learning with Incomplete Annotations

    • Shao-Yuan Li, Yuan Jiang
    Pages 232-245

  20. Multiple Kernel Fusion with HSIC Lasso

    • Tinghua Wang, Fulai Liu
    Pages 246-255
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Other volumes

  1. PRICAI 2018: Trends in Artificial Intelligence

  2. PRICAI 2018: Trends in Artificial Intelligence

Editors and Affiliations

  • Southeast University, Nanjing, China

    Xin Geng

  • University of Tasmania, Hobart, Australia

    Byeong-Ho Kang

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