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Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing

28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part III

  • Igor V. Tetko
  • Věra Kůrková
  • Pavel Karpov
  • Fabian Theis
Conference proceedings ICANN 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11729)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 11729)

Table of contents

  1. Front Matter
    Pages i-xxx
  2. Image Denoising

    1. Front Matter
      Pages 1-1
    2. Jose Carranza-Rojas, Saul Calderon-Ramirez, Adán Mora-Fallas, Michael Granados-Menani, Jordina Torrents-Barrena
      Pages 3-16
    3. Szabolcs Pável, Csanád Sándor, Lehel Csató
      Pages 17-28
    4. Ling Li, Junxing Hu, Yijun Lin, Fengge Wu, Junsuo Zhao
      Pages 41-52
  3. Object Detection

    1. Front Matter
      Pages 53-53
    2. Tingyu Wei, Wenxin Hu, Xingjiao Wu, Yingbin Zheng, Hao Ye, Jing Yang et al.
      Pages 55-67
    3. Tomoyuki Myojin, Shintaro Hashimoto, Kenji Mori, Keisuke Sugawara, Naoki Ishihama
      Pages 68-80
    4. Fei Gao, Chengguang Yang, Yisu Ge, Shufang Lu, Qike Shao
      Pages 105-118
    5. Youming Gao, Yi Ji, Ting Xu, Yunlong Xu, Chunping Liu
      Pages 119-130
    6. Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
      Pages 131-142
    7. Guanghua Tan, Rui Miao, Yi Xiao
      Pages 157-167
    8. Zhen Zhang, Chao Wang, Xiqun Lu
      Pages 168-183
    9. Dominik Jens Elias Waibel, Ulf Tiemann, Valerio Lupperger, Henrik Semb, Carsten Marr
      Pages 184-186
  4. Image Segmentation

    1. Front Matter
      Pages 187-187
    2. Song Guo, Tao Li, Kai Wang, Chan Zhang, Hong Kang
      Pages 189-199
    3. Lulu Yang, Long Lan, Xiang Zhang, Xuhui Huang, Zhigang Luo
      Pages 200-212
    4. Song Guo, Tao Li, Chan Zhang, Ning Li, Hong Kang, Kai Wang
      Pages 213-224
    5. Xiangtai Li, Jiangang Bai, Kuiyuan Yang, Yunhai Tong
      Pages 225-237
    6. Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli
      Pages 238-250
  5. Occluded Object Recognition

    1. Front Matter
      Pages 251-251
    2. Tinghuai Wang, Huiling Wang
      Pages 267-280
    3. Markus Roland Ernst, Jochen Triesch, Thomas Burwick
      Pages 294-305
    4. Congcong Zhu, Xing Wang, Suping Wu, Zhenhua Yu
      Pages 306-316
  6. Gesture Recognition

    1. Front Matter
      Pages 317-317
    2. Ziheng Guo, Yang Chen, Wei Huang, Junhao Zhang
      Pages 319-329
    3. Monika Schak, Alexander Gepperth
      Pages 330-343
  7. Saliency Detection

    1. Front Matter
      Pages 345-345
    2. Yikai Hua, Xiaodong Gu
      Pages 360-370
    3. Wang Yuan, Haichuan Song, Xin Tan, Chengwei Chen, Shouhong Ding, Lizhuang Ma
      Pages 371-382
  8. Perception

    1. Front Matter
      Pages 383-383
    2. Fangjun Wang, Liping Shen
      Pages 385-396
    3. Leopoldo A. D. Lusquino Filho, Gabriel P. Guarisa, Luiz F. R. Oliveira, Aluizio Lima Filho, Felipe M. G. França, Priscila M. V. Lima
      Pages 409-420
    4. Anna Zamansky, Aleksandr M. Sinitca, Dmitry I. Kaplun, Luisa M. L. Dutra, Robert J. Young
      Pages 421-426
  9. Motion Analysis

    1. Front Matter
      Pages 427-427
    2. Florian Mirus, Terrence C. Stewart, Chris Eliasmith, Jörg Conradt
      Pages 456-471
    3. Anna Zamansky, Aleksandr M. Sinitca, Dmitry I. Kaplun, Michael Plazner, Ivana G. Schork, Robert J. Young et al.
      Pages 472-483
    4. Vaibhav Kulkarni, Abhijit Mahalunkar, Benoit Garbinato, John D. Kelleher
      Pages 484-497
    5. Zengwei Zheng, Lifei Shi, Chi Wang, Lin Sun, Gang Pan
      Pages 498-509

Other volumes

  1. 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part I
  2. 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part II
  3. Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing
    28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part III
  4. 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part IV
  5. 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings

About these proceedings

Introduction

The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. 
The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions. 

Keywords

artificial intelligence classification clustering computational linguistics computer networks Human-Computer Interaction (HCI) image processing image reconstruction image segmentation imaging systems learning algorithms machine learning neural networks recurrent neural networks robotics semantics sensors signal processing Support Vector Machines (SVM) user interfaces

Editors and affiliations

  1. 1.Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)NeuherbergGermany
  2. 2.Institute of Computer ScienceCzech Academy of SciencesPraha 8Czech Republic
  3. 3.Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)NeuherbergGermany
  4. 4.Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)NeuherbergGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-30508-6
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-30507-9
  • Online ISBN 978-3-030-30508-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site