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Belief Functions: Theory and Applications

Third International Conference, BELIEF 2014, Oxford, UK, September 26-28, 2014. Proceedings

  • Fabio Cuzzolin
Conference proceedings BELIEF 2014

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8764)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8764)

Table of contents

  1. Front Matter
  2. Belief Combination

    1. John Klein, Mehena Loudahi, Jean-Marc Vannobel, Olivier Colot
      Pages 1-10
    2. Frédéric Pichon, David Mercier, François Delmotte, Éric Lefèvre
      Pages 11-20
    3. Yanyan He, M. Yousuff Hussaini
      Pages 39-48
  3. Machine Learning

    1. Philippe Xu, Franck Davoine, Thierry Denoeux
      Pages 49-57
    2. Supanika Leurcharusmee, Peerapat Jatukannyaprateep, Songsak Sriboonchitta, Thierry Denoeux
      Pages 58-67
    3. Wiem Maalel, Kuang Zhou, Arnaud Martin, Zied Elouedi
      Pages 68-76
    4. Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denœux
      Pages 87-94
    5. Malcolm J. Beynon
      Pages 95-104
  4. Applications 1

    1. Ahmed Samet, Éric Lefèvre, Sadok Ben Yahia
      Pages 105-114
    2. Salma Ben Dhaou, Mouloud Kharoune, Arnaud Martin, Boutheina Ben Yaghlane
      Pages 115-123
    3. Mira Bou Farah, David Mercier, François Delmotte, Éric Lefèvre, Sylvain Lagrue
      Pages 124-133
    4. Jean-Christophe Dubois, Yolande Le Gall, Arnaud Martin
      Pages 134-142
    5. Nopadon Kronprasert, Antti P. Talvitie
      Pages 143-152
  5. Theory 1

  6. Applications 2

    1. Włodzimierz Filipowicz
      Pages 199-208
    2. Ahmad Osman, Valerie Kaftandjian, Ulf Hassler
      Pages 209-218
    3. Kittawit Autchariyapanitkul, Somsak Chanaim, Songsak Sriboonchitta, Thierry Denoeux
      Pages 219-226
    4. Thomas Reineking, Kerstin Schill
      Pages 227-236
  7. Networks

    1. Radim Jiroušek, Prakash P. Shenoy
      Pages 256-264
    2. Faiza Titouna, Salem Benferhat
      Pages 265-274
    3. Imen Hammami, Jean Dezert, Grégoire Mercier, Atef Hamouda
      Pages 275-283
    4. Jungyeul Park, Mouna Chebbah, Siwar Jendoubi, Arnaud Martin
      Pages 284-293
    5. Narjes Ben Hariz, Boutheina Ben Yaghlane
      Pages 294-303
  8. Theory 2

    1. Orakanya Kanjanatarakul, Philai Lertpongpiroon, Sombat Singkharat, Songsak Sriboonchitta
      Pages 304-312
    2. Janith N. Heendeni, Kamal Premaratne, Manohar N. Murthi, Matthias Scheutz
      Pages 313-320
    3. Jiřina Vejnarová
      Pages 331-338
  9. Information Fusion

    1. Yongjun Xu, Lin Wu, Xianbin Wu, Zhiwei Xu
      Pages 348-355
    2. Faouzi Sebbak, Farid Benhammadi, Sofiane Bouznad, Abdelghani Chibani, Yacine Amirat
      Pages 356-364
  10. Data Association

    1. Jean Dezert, Kaouthar Benameur
      Pages 374-382
    2. Wafa Rekik, Sylvie Le Hégarat-Mascle, Cyrille André, Abdelaziz Kallel, Roger Reynaud, Ahmed Ben Hamida
      Pages 383-392
    3. Hasan Ihsan Turhan, Mubeccel Demirekler, Melih Gunay
      Pages 393-402
    4. Samir Hachour, François Delmotte, David Mercier
      Pages 403-411
  11. Geometry

    1. Mehena Loudahi, John Klein, Jean-Marc Vannobel, Olivier Colot
      Pages 422-431
    2. Deqiang Han, Jean Dezert, Yi Yang
      Pages 432-441
    3. Hasan Ihsan Turhan, Mubeccel Demirekler, Melih Gunay
      Pages E1-E2
  12. Back Matter

About these proceedings

Introduction

This book constitutes the thoroughly refereed proceedings of the Third International Conference on Belief Functions, BELIEF 2014, held in Oxford, UK, in September 2014. The 47 revised full papers presented in this book were carefully selected and reviewed from 56 submissions. The papers are organized in topical sections on belief combination; machine learning; applications; theory; networks; information fusion; data association; and geometry.

Keywords

Vehicular Ad-hoc Network (VANET) bayesian inference belief reasoning classification decision making document analysis evidential databases human factors object recognition on-destructive testing partially-supervised learning probabilistic database social networks statistical inference support vector machines target classification target tracking

Editors and affiliations

  • Fabio Cuzzolin
    • 1
  1. 1.Department of Computing and Communications TechnologiesOxford Brookes UniversityOxfordUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-11191-9
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-11190-2
  • Online ISBN 978-3-319-11191-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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