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Learning from Incongruence

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00200333" target="_blank" >RIV/68407700:21230/12:00200333 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-642-24034-8_10" target="_blank" >http://dx.doi.org/10.1007/978-3-642-24034-8_10</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-642-24034-8_10" target="_blank" >10.1007/978-3-642-24034-8_10</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Learning from Incongruence

  • Original language description

    We present an approach to constructing a model of the universe for explaining observations and making decisions based on learning new concepts. We use a weak statistical model, e.g. a discriminative classifier, to distinguish errors in measurements fromimproper modeling. We use boolean logic to combine outcomes of direct detectors of relevant events, e.g. presence of sound and presence of human shape in the field of view, into more complex models explaining the states in which the universe may appear.The process of constructing a new concept is initiated when a significant disagreement - incongruence -- has been observed between incoming data and the current model of the universe. Then, a new concept, i.e. a new direct detector, is trained on incongruent data and combined with existing models to remove the incongruence. We demonstrate the concept in an experiment with human audio-visual detection.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    DA - Hydrology and limnology

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Detection and Identification of Rare Audiovisual Cues

  • ISBN

    978-3-642-24033-1

  • ISSN

    1860-949X

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    119-127

  • Publisher name

    Springer

  • Place of publication

    Berlin

  • Event location

    Barcelona

  • Event date

    Sep 24, 2010

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000302002500011