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Structural, Syntactic, and Statistical Pattern Recognition

Joint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21–22, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12644)

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About this book

This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2020, held in Padua, Italy, in January 2021.

The 35 papers presented in this volume were carefully reviewed and selected from 81 submissions.

The accepted papers cover the major topics of current interest in pattern recognition, including classification and clustering, deep learning, structural matching and graph-theoretic methods, and multimedia analysis and understanding.

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Keywords

Table of contents (35 papers)

  1. Classification and Data Processing

  2. Deep Learning

  3. Graph-Theoretic Methods

Other volumes

  1. Structural, Syntactic, and Statistical Pattern Recognition

Editors and Affiliations

  • Ca’ Foscari University of Venice, Venice, Italy

    Andrea Torsello

  • Queen Mary University of London, London, UK

    Luca Rossi

  • Università Ca' Foscari Venezia, Venice, Italy

    Marcello Pelillo

  • University of Cagliari, Cagliari, Italy

    Battista Biggio

  • Deakin University, Burwood, Australia

    Antonio Robles-Kelly

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