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Machine Learning and Data Mining in Pattern Recognition

14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings, Part I

  • Petra Perner
Conference proceedings MLDM 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10934)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10934)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Aybüke Öztürk, Stéphane Lallich, Jérôme Darmont, Sylvie Yona Waksman
    Pages 1-15
  3. Valentina Sulimova, Alexander Zhukov, Olga Krasotkina, Vadim Mottl, Anatoly Markov
    Pages 16-27
  4. Daoping Wang, Liangyue Xu, Amjad Younas
    Pages 28-39
  5. Anshul Rai, Zackary Crosley, Srivignessh Pacham Sri Srinivasan
    Pages 40-48
  6. Rawan AlSaad, Somaya Al-maadeed, Md. Abdullah Al Mamun, Sabri Boughorbel
    Pages 64-76
  7. Dima Badawi, Hakan Altınçay
    Pages 77-84
  8. Shlomit Gur, Vasant G. Honavar
    Pages 85-98
  9. Mohammad Ghasemi Hamed, Ahmad Akbari
    Pages 113-125
  10. Manoel Alves de Almeida Neto, Roberta de Andrade de A. Fagundes, Carmelo J. A. Bastos-Filho
    Pages 126-137
  11. Noha S. Tawfik, Marco R. Spruit
    Pages 138-148
  12. Matthias J. Feiler
    Pages 149-158
  13. Kazem Qazanfari, Abdou Youssef
    Pages 159-173
  14. Jiyun Chen, Jihong Wang, Xiaodan Wang, Yingyi Du, Huiyou Chang
    Pages 202-212
  15. Hao Zhang, Shinji Nakadai, Kenji Fukumizu
    Pages 213-227
  16. Shruti Kaushik, Abhinav Choudhury, Nataraj Dasgupta, Sayee Natarajan, Larry A. Pickett, Varun Dutt
    Pages 244-258
  17. Soumadip Ghosh, Arnab Hazra, Bikramjit Choudhury, Payel Biswas, Amitava Nag
    Pages 259-268
  18. Stefan Thaler, Vlado Menkovski, Milan Petkovic
    Pages 269-282
  19. Christine Hines, Abdou Youssef
    Pages 283-295
  20. Rina Singh, Jeffrey A. Graves, Douglas A. Talbert, William Eberle
    Pages 296-311
  21. Pattanapong Chantamit-o-pas, Madhu Goyal
    Pages 312-323
  22. Sam Thomas, Nasseh Tabrizi
    Pages 324-334
  23. Haodi Jiang, Turki Turki, Sen Zhang, Jason T. L. Wang
    Pages 335-349
  24. Weiping Pei, Youye Xie, Gongguo Tang
    Pages 350-364
  25. Xiaqiong Li, Xiaochun Wang, Xia Li Wang
    Pages 393-405
  26. Nataliya Sokolovska, Olga Permiakova, Sofia K. Forslund, Jean-Daniel Zucker
    Pages 406-420
  27. Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker
    Pages 421-435
  28. Roni Ben Ishay, Maya Herman, Chaim Yosefi
    Pages 436-452
  29. Back Matter
    Pages 453-455

Other volumes

  1. Machine Learning and Data Mining in Pattern Recognition
    14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings, Part I
  2. 14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings, Part II

About these proceedings

Introduction

This two-volume set LNAI 10934 and LNAI 10935 constitutes the refereed proceedings of the 14th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2018, held in New York, NY, USA in July 2018. 
The 92 regular papers presented in this two-volume set were carefully reviewed and selected from 298 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as  image mining, text mining, video mining, and Web mining.


Keywords

machine learning data mining pattern recognition medical data mining frequent item set mining time series mining classification feature selection clustering image mining graph mining process mining support vector machines neural networks image processing computational linguistics Support Vector Machines image segmentation text processing clustering

Editors and affiliations

  • Petra Perner
    • 1
  1. 1.Institute of Computer Vision and Applied Computer SciencesLeipzigGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-96136-1
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-96135-4
  • Online ISBN 978-3-319-96136-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site