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Adaptive Novelty Detection with Generalized Extreme Value Distribution

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F18%3A43917099" target="_blank" >RIV/60461373:22340/18:43917099 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.23919/AE.2018.8501463" target="_blank" >http://dx.doi.org/10.23919/AE.2018.8501463</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.23919/AE.2018.8501463" target="_blank" >10.23919/AE.2018.8501463</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Adaptive Novelty Detection with Generalized Extreme Value Distribution

  • Original language description

    This paper introduces the new adaptive novelty detection method. The proposed method is using generalized extreme value distribution to evaluate the absolute value of adaptive system weight increments in time. The detection of novelty is threshold-based and the threshold corresponds to the value of joint probability density function. Performance of the proposed algorithm is shown on artificial data. For comparison also results of Learning Entropy algorithm are shown, as this algorithm also evaluates the increments of adaptive weights.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2018 International Conference on Applied Electronics (AE)

  • ISBN

    978-80-261-0722-4

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    4

  • Pages from-to

    169-172

  • Publisher name

    IEEE Institute of Electrical and Electronics Engineers

  • Place of publication

    Piscataway, New Jersey

  • Event location

    Plzeň

  • Event date

    Sep 11, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000450228600038