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  • Conference proceedings
  • © 2020

Pattern Recognition Applications and Methods

8th International Conference, ICPRAM 2019, Prague, Czech Republic, February 19-21, 2019, Revised Selected Papers

Conference proceedings info: ICPRAM 2019.

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Table of contents (7 papers)

  1. Front Matter

    Pages i-xv
  2. Theory and Methods

    1. Front Matter

      Pages 1-1
    2. Online Budgeted Stochastic Coordinate Ascent for Large-Scale Kernelized Dual Support Vector Machine Training

      • Sahar Qaadan, Abhijeet Pendyala, Merlin Schüler, Tobias Glasmachers
      Pages 23-47
    3. Attributes for Understanding Groups of Binary Data

      • Arthur Chambon, Frédéric Lardeux, Frédéric Saubion, Tristan Boureau
      Pages 48-70
    4. Annealing by Increasing Resampling

      • Naoya Higuchi, Yasunobu Imamura, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama
      Pages 71-92
  3. Applications

    1. Front Matter

      Pages 93-93
    2. Implications of Z-Normalization in the Matrix Profile

      • Dieter De Paepe, Diego Nieves Avendano, Sofie Van Hoecke
      Pages 95-118
    3. Enforcing the General Planar Motion Model: Bundle Adjustment for Planar Scenes

      • Marcus Valtonen Örnhag, Mårten Wadenbäck
      Pages 119-135
    4. Deep Multi-biometric Fusion for Audio-Visual User Re-Identification and Verification

      • Mirko Marras, Pedro A. Marín-Reyes, Javier Lorenzo-Navarro, Modesto Castrillón-Santana, Gianni Fenu
      Pages 136-157
  4. Back Matter

    Pages 159-159

Other Volumes

  1. Pattern Recognition Applications and Methods

About this book

This book contains revised and extended versions of selected papers from the 8th International Conference on Pattern Recognition, ICPRAM 2019, held in Prague, Czech Republic, in February 2019. The 25 full papers presented together 52 short papers and 32 poster sessions were carefully reviewed and selected from 138 initial submissions.

Contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods are especially encouraged.

Editors and Affiliations

  • Department of Computer Science, Sapienza University of Rome, Rome, Italy

    Maria De Marsico

  • ICAR, Consiglio Nazionale delle Ricerche, Naples, Italy

    Gabriella Sanniti di Baja

  • Instituto de Telecomunicações, Lisbon University, Lisbon, Portugal

    Ana Fred

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access