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: Detection and Identification of Rare Audiovisual Cues
  name:
    name part: Weinshall, Daphna.
    role:
      role term: editor.
  name:
    name part: Anemüller, Jörn.
    role:
      role term: editor.
  name:
    name part: Gool, Luc van.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VIII, 192 p. online resource.
  abstract: Machine learning builds models of the world using training data from the application domain and prior knowledge about the problem. The models are later applied to future data in order to estimate the current state of the world. An implied assumption is that the future is stochastically similar to the past. The approach fails when the system encounters situations that are not anticipated from the past experience. In contrast, successful natural organisms identify new unanticipated stimuli and situations and frequently generate appropriate responses. The observation described above lead to the initiation of the DIRAC EC project in 2006. In 2010 a workshop was held, aimed to bring together researchers and students from different disciplines in order to present and discuss new approaches for identifying and reacting to unexpected events in information-rich environments. This book includes a summary of the achievements of the DIRAC project in chapter 1, and a collection of the papers presented in this workshop in the remaining parts.
  table of contents: Introduction -- The DIRAC project -- The detection of incongruent events, project survey and algorithms -- Alternative frameworks to detect meaningful novel events -- Dealing with meaningful novel events, what to do after detection -- How biological systems deal with novel and incongruent events.
  note: edited by Daphna Weinshall, Jörn Anemüller, Luc van Gool.
  subject:
    topic: Engineering
  subject:
    topic: Multimedia information systems
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computational intelligence
  subject:
    topic: Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Multimedia Information Systems
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Computational Intelligence, 384
  identifier: 9783642240348
  identifier: http://dx.doi.org/10.1007/978-3-642-24034-8
  record info:
    record creation date: 111122
    record change date: 20151125201558.0
    record identifier: 978-3-642-24034-8