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: Visual Pattern Discovery and Recognition
  name:
    name part: Wang, Hongxing.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Weng, Chaoqun.
    role:
      role term: author.
  name:
    name part: Yuan, Junsong.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: si
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 87 p. 33 illus., 9 illus. in color. online resource.
  abstract: This book presents a systematic study of visual pattern discovery, from unsupervised to semi-supervised manner approaches, and from dealing with a single feature to multiple types of features. Furthermore, it discusses the potential applications of discovering visual patterns for visual data analytics, including visual search, object and scene recognition. It is intended as a reference book for advanced undergraduates or postgraduate students who are interested in visual data analytics, enabling them to quickly access the research world and acquire a systematic methodology rather than a few isolated techniques to analyze visual data with large variations. It is also inspiring for researchers working in computer vision and pattern recognition fields. Basic knowledge of linear algebra, computer vision and pattern recognition would be helpful to readers.
  table of contents: 1. Introduction -- 2. Context-Aware Discovery of Visual Co-occurrence Patterns -- 3. Hierarchical Sparse Coding for Visual Co-occurrence Discovery -- 4. Feature Co-occurrence for Visual Labeling -- 5. Visual Clustering with Minimax Feature Fusion -- 6. Conclusion.
  note: by Hongxing Wang, Chaoqun Weng, Junsong Yuan.
  subject:
    topic: Computer science
  subject:
    topic: Data mining
  subject:
    topic: Image processing
  subject:
    topic: Pattern recognition
  subject:
    topic: Computer Science
  subject:
    topic: Pattern Recognition
  subject:
    topic: Image Processing and Computer Vision
  subject:
    topic: Data Mining and Knowledge Discovery
  classification: Q337.5
  classification: TK7882.P3
  classification: 006.4
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Computer Science
  identifier: 9789811048401
  identifier: http://dx.doi.org/10.1007/978-981-10-4840-1
  record info:
    record creation date: 170615
    record change date: 20170629141345.0
    record identifier: 978-981-10-4840-1