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: Pattern recognition and classification
    sub title: an introduction
  name:
    name part: Dougherty, Geoff
    name part: 1950-
    role:
      role term: creator
    role:
      role term: author
  type of resource: text
  origin info:
    place:
      place term: nyu
    place:
      place term: New York
    publisher: Springer
    date issued: c2013
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xi, 196 p. : ill. (some col.) ; 24 cm.
  abstract: The use of pattern recognition and classification is fundamental to many of the automated electronic systems in use today. However, despite the existence of a number of notable books in the field, the subject remains very challenging, especially for the beginner. Pattern Recognition and Classification presents a comprehensive introduction to the core concepts involved in automated pattern recognition. It is designed to be accessible to newcomers from varied backgrounds, but it will also be useful to researchers and professionals in image and signal processing and analysis, and in computer vision. Fundamental concepts of supervised and unsupervised classification are presented in an informal, rather than axiomatic, treatment so that the reader can quickly acquire the necessary background for applying the concepts to real problems. More advanced topics, such as estimating classifier performance and combining classifiers, and details of particular project applications are addressed in the later chapters. This book is suitable for undergraduates and graduates studying pattern recognition and machine learning.
  table of contents: 1. Introduction -- 2. Classification -- 3. Non-metric methods -- 4. Statistical pattern recognition -- 5. Supervised learning -- 6. Non-parametric learning -- 7. Feature extraction and selection -- 8. Unsupervised learning -- 9. Estimating and comparing classifiers -- 10. Projects
  note: Geoff Dougherty
  note: Includes bibliographical references and index
  subject:
    topic: Algorithms
  subject:
    topic: Biology
    topic: Data processing
  subject:
    topic: Computer Appl. in Life Sciences
  subject:
    topic: Computer science
  subject:
    topic: Nonlinear Dynamics
  subject:
    topic: Optical pattern recognition
  subject:
    topic: Pattern perception
  subject:
    topic: Signal, Image and Speech Processing
  classification: TK7882.P3 D68 2013
  identifier: 1461453224 (hardback : alk. paper)
  identifier: 1461453232 (ebook)
  identifier: 9781461453222 (hardback : alk. paper)
  identifier: 9781461453239 (ebook)
  record info:
    record creation date: 130530
    record change date: 20161110093000.0
    record identifier: 0000083590