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: Fuzzy models and algorithms for pattern recognition and image processing
  name:
    name part: Bezdek, James C.
    name part: 1939-
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: nyu
    date issued: 2005
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xv, 776 pages) : illustrations
  abstract: Annotation Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout. The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Also included are numerous figures, images and numerical examples that illustrate the use of various models involving applications in medicine, character and word recognition, remote sensing, military image analysis, and industrial engineering.
  table of contents: Series Foreword -- Preface -- Pattern Recognition -- Cluster Analysis for Object Data -- Cluster Analysis for Relational Data -- Classifier Design -- Image Processing and Computer Vision. -References -- Appendix 1: Acronyms and Abbreviations. -Appendix 2: The Iris Data: Table I, Fisher (1936).
  note: James C. Bezdek [and others].
  note: Electronic resource.
  note: Includes bibliographical references (pages [681]-751) and index.
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Control Engineering
  subject:
    topic: Electronic and Computer Engineering
  subject:
    topic: Pattern Recognition
  subject:
    topic: Cluster analysis
  subject:
    topic: Computer vision
  subject:
    topic: Fuzzy algorithms
  subject:
    topic: Image processing
  subject:
    topic: Optical pattern recognition
  subject:
    topic: COMPUTERS
    topic: Computer Vision & Pattern Recognition
  subject:
    topic: COMPUTERS
    topic: Optical Data Processing
  subject:
    topic: Cluster analysis
  subject:
    topic: Computer vision
  subject:
    topic: Fuzzy algorithms
  subject:
    topic: Image processing
  subject:
    topic: Informatique
  subject:
    topic: Optical pattern recognition
  classification: TA1650 .F89 2005eb
  classification: 006.4/2
  related item:
    title info:
      title: Fuzzy models and algorithms for pattern recognition and image processing
    origin info:
      publisher: New York : Springer, c2005
    identifier: (DLC) 2005042541
    identifier: (OCoLC)57594759
  related item:
    title info:
      title: Handbooks of fuzzy sets series
  identifier: 0387245790 (electronic bk.)
  identifier: 9780387245799 (electronic bk.)
  identifier: 0387245154
  identifier: 0792385217
  identifier: 9780387245157
  identifier: 9780792385219
  identifier: 978-0-387-24515-7 Springer
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: GW5XE
    record creation date: 080226
    record change date: 20260414152652.0
    record identifier: in00002470591
    language of cataloging:
      language term: eng