© 2018

Pattern Recognition Applications and Methods

6th International Conference, ICPRAM 2017, Porto, Portugal, February 24–26, 2017, Revised Selected Papers

  • Maria De Marsico
  • Gabriella Sanniti di Baja
  • Ana Fred
Conference proceedings ICPRAM 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10857)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 10857)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Tetsuya Kataoka, Eimi Shiotsuki, Akihiro Inokuchi
    Pages 21-44
  3. Yehezkel S. Resheff, Daphna Weinshall
    Pages 62-79
  4. Sarah Ahmed, Tayyaba Azim
    Pages 80-98
  5. Hany Ferdinando, Tapio Seppänen, Esko Alasaarela
    Pages 99-113
  6. Esteban García-Cuesta, Daniel Gómez-Vergel, Luis Gracia-Expósito, José Manuel López-López, María Vela-Pérez
    Pages 132-146
  7. Mayank Golhar, Yuji Iwahori, M. K. Bhuyan, Kenji Funahashi, Kunio Kasugai
    Pages 147-168
  8. Qamer Uddin Sabri, Johannes Bayer, Viktor Ayzenshtadt, Syed Saqib Bukhari, Klaus-Dieter Althoff, Andreas Dengel
    Pages 169-189
  9. Giuseppe Placidi, Luigi Cinque, Matteo Polsinelli, Matteo Spezialetti
    Pages 190-203
  10. Atsushi Shimada, Kaito Oka, Masaki Igarashi, Rin-ichiro Taniguchi
    Pages 204-221
  11. Insaf Setitra, Abdelkrim Meziane, Zineb Hadjadj, Nawfel Bengherbia
    Pages 222-234
  12. Back Matter
    Pages 235-235

About these proceedings


This book contains revised and extended versions of selected papers from the 6th International Conference on Pattern Recognition, ICPRAM 2017, held in Porto, Portugal, in February 2017.

The 13 full papers presented were carefully reviewed and selected from 139 initial submissions. They aim at making visible and understandable the relevant trends of current research on pattern recognition.


applications artificial intelligence Bayesian models blind source separation factorization fuzzy logic Gaussian processes image processing image segmentation information retrieval multi-agent learning natural language processing neural networks pattern recognition signal processing theory and methods

Editors and affiliations

  • Maria De Marsico
    • 1
  • Gabriella Sanniti di Baja
    • 2
  • Ana Fred
    • 3
  1. 1.Sapienza Università di RomaRomeItaly
  2. 2.ICAR-CNRNaplesItaly
  3. 3.University of LisbonLisbonPortugal

Bibliographic information

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