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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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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
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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