rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Structural, Syntactic, and Statistical Pattern Recognition
    sub title: Joint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21-22, 2021, Proceedings
  name:
    name part: Torsello, Andrea.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Rossi, Luca.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Pelillo, Marcello.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Biggio, Battista.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Robles-Kelly, Antonio.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: sz
    date issued: 2021
    edition: 1st ed. 2021.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XII, 378 pages 103 illustrations, 84 illustrations in color.)
  abstract: 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.
  table of contents: Classification and data processing -- Deep learning -- Graph-theoretic methods -- Multimedia analysis and understanding.
  note: edited by Andrea Torsello, Luca Rossi, Marcello Pelillo, Battista Biggio, Antonio Robles-Kelly.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Algorithms
  subject:
    topic: Data structures (Computer science)
  subject:
    topic: Application software
  subject:
    topic: Computers
  subject:
    topic: Computer science-Mathematics
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Algorithm Analysis and Problem Complexity
  subject:
    topic: Data Structures
  subject:
    topic: Computer Appl. in Social and Behavioral Sciences
  subject:
    topic: Computing Milieux
  subject:
    topic: Mathematics of Computing
  classification: Q334-342
  classification: 006.3
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12644
  identifier: 9783030739737
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 210409
    record change date: 20230330184859.8
    record identifier: in00004421497