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Gaussian Anomaly Detection by Modeling the Distribution of Normal Data in Pretrained Deep Features

; ; ;

In
IEEE transactions on instrumentation and measurement : IM 70, Seiten/Artikel-Nr.:5014213

ImpressumNew York, NY : IEEE

Umfang13 Seiten

ISSN1557-9662

Online
DOI: 10.1109/TIM.2021.3098381

DOI: 10.18154/RWTH-2021-09616
URL: https://publications.rwth-aachen.de/record/834048/files/834048.pdf

Einrichtungen

  1. Lehrstuhl für Bildverarbeitung (611710)


Thematische Einordnung (Klassifikation)
DDC: 620

OpenAccess:
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Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85111586984
WOS Core Collection: WOS:000693606300015

Interne Identnummern
RWTH-2021-09616
Datensatz-ID: 834048

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

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Medline ; Creative Commons Attribution CC BY 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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611710
 Record created 2021-10-18, last modified 2022-07-29
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