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Pattern Recognition

5th Asian Conference, ACPR 2019, Auckland, New Zealand, November 26–29, 2019, Revised Selected Papers, Part II

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Shivakumara Palaiahnakote

    1. University of Malaya, Kuala Lumpur, Malaysia

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  2. Gabriella Sanniti di Baja

    1. Consiglio Nazionale delle Ricerche, ICAR, Naples, Italy

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  3. Liang Wang

    1. Chinese Academy of Sciences, Beijing, China

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  4. Wei Qi Yan

    1. Auckland University of Technology, Auckland, New Zealand

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12047)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: ACPR 2019.

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About this book

This two-volume set constitutes the proceedings of the 5th Asian Conference on ACPR 2019, held in Auckland, New Zealand, in November 2019.
The 9 full papers presented in this volume were carefully reviewed and selected from 14 submissions. They cover topics such as: classification; action and video and motion; object detection and anomaly detection; segmentation, grouping and shape; face and body and biometrics; adversarial learning and networks; computational photography; learning theory and optimization; applications, medical and robotics; computer vision and robot vision; pattern recognition and machine learning; multi-media and signal processing and interaction.

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Keywords

Table of contents (58 papers)

  1. Front Matter

    Pages i-xxv
    Download chapter PDF

  2. Pattern Recognition and Machine Learning

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Margin Constraint for Low-Shot Learning

      • Xiaotian Wu, Yizhuo Wang
      Pages 3-14

    3. Enhancing Open-Set Face Recognition by Closing It with Cluster-Inferred Gallery Augmentation

      • Floris De Feyter, Kristof Van Beeck, Toon Goedemé
      Pages 15-26

    4. Action Recognition in Untrimmed Videos with Composite Self-attention Two-Stream Framework

      • Dong Cao, Lisha Xu, HaiBo Chen
      Pages 27-40

    5. Representation Learning for Style and Content Disentanglement with Autoencoders

      • Jaemin Na, Wonjun Hwang
      Pages 41-51

    6. Residual Attention Encoding Neural Network for Terrain Texture Classification

      • Xulin Song, Jingyu Yang, Zhong Jin
      Pages 52-63

    7. The Shape of Patterns Tells More

      • Yuan Chang, Donald Bailey, Steven Le Moan
      Pages 64-75

    8. A Spatial Density and Phase Angle Based Correlation for Multi-type Family Photo Identification

      • Anaica Grouver, Palaiahnakote Shivakumara, Maryam Asadzadeh Kaljahi, Bhaarat Chetty, Umapada Pal, Tong Lu et al.
      Pages 76-89

    9. Does My Gait Look Nice? Human Perception-Based Gait Relative Attribute Estimation Using Dense Trajectory Analysis

      • Allam Shehata, Yuta Hayashi, Yasushi Makihara, Daigo Muramatsu, Yasushi Yagi
      Pages 90-105

    10. Scene-Adaptive Driving Area Prediction Based on Automatic Label Acquisition from Driving Information

      • Takuya Migishima, Haruya Kyutoku, Daisuke Deguchi, Yasutomo Kawanishi, Ichiro Ide, Hiroshi Murase
      Pages 106-117

    11. Enhancing the Ensemble-Based Scene Character Recognition by Using Classification Likelihood

      • Fuma Horie, Hideaki Goto, Takuo Suganuma
      Pages 118-128

    12. Continual Learning of Image Translation Networks Using Task-Dependent Weight Selection Masks

      • Asato Matsumoto, Keiji Yanai
      Pages 129-142

    13. A Real-Time Eye Tracking Method for Detecting Optokinetic Nystagmus

      • Mohammad Norouzifard, Joanna Black, Benjamin Thompson, Reinhard Klette, Jason Turuwhenua
      Pages 143-155

    14. Network Structure for Personalized Face-Pose Estimation Using Incrementally Updated Face-Shape Parameters

      • Makoto Sei, Akira Utsumi, Hirotake Yamazoe, Joo-Ho Lee
      Pages 156-168

    15. Optimal Rejection Function Meets Character Recognition Tasks

      • Xiaotong Ji, Yuchen Zheng, Daiki Suehiro, Seiichi Uchida
      Pages 169-183

    16. Comparing the Recognition Accuracy of Humans and Deep Learning on a Simple Visual Inspection Task

      • Naoto Kato, Michiko Inoue, Masashi Nishiyama, Yoshio Iwai
      Pages 184-197

    17. Improved Gamma Corrected Layered Adaptive Background Model

      • Kousuke Sakamoto, Hiroki Yoshimura, Masashi Nishiyama, Yoshio Iwai
      Pages 198-209

    18. One-Shot Learning-Based Handwritten Word Recognition

      • Asish Chakrapani Gv, Sukalpa Chanda, Umapada Pal, David Doermann
      Pages 210-223

    19. First-Person View Hand Parameter Estimation Based on Fully Convolutional Neural Network

      • En-Te Chou, Yun-Chih Guo, Ya-Hui Tang, Pei-Yung Hsiao, Li-Chen Fu
      Pages 224-237
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Other volumes

  1. Pattern Recognition

  2. Pattern Recognition

  3. Pattern Recognition

Editors and Affiliations

  • University of Malaya, Kuala Lumpur, Malaysia

    Shivakumara Palaiahnakote

  • Consiglio Nazionale delle Ricerche, ICAR, Naples, Italy

    Gabriella Sanniti di Baja

  • Chinese Academy of Sciences, Beijing, China

    Liang Wang

  • Auckland University of Technology, Auckland, New Zealand

    Wei Qi Yan

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