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Outlier Detection for Trajectories via Flow-embeddings

; ;

In
Conference record of the Fifty-Fifth Asilomar Conference on Signals, Systems & Computers : October 31-November 3, 2021, Pacific Grove, California / edited by: Michael B. Matthews (Northrop Grumman Innovation Systems) ; technical co-sponsor: the IEEE Signal Processing Society, Seiten/Artikel-Nr: 1568-1572

Konferenz/Event:55. Asilomar Conference on Signals, Systems, and Computers , online , ACSSC 2021 , 2021-10-31 - 2021-11-03

ImpressumPiscataway, NJ : IEEE

Umfang1568-1572

ISBN978-1-6654-5827-6, 978-1-6654-5828-3, 978-1-6654-5829-0

Date Added to IEEE Xplore: 04 March 2022. - Datenträger: USB-Stick

Online
DOI: 10.1109/IEEECONF53345.2021.9723128


Einrichtungen

  1. Juniorprofessur für Computational Network Science (125230)
  2. Fachgruppe Informatik (120000)

Projekte

  1. SDS005 - Towards an integrated data science of complex natural systems (PF-JARA-SDS005) (PF-JARA-SDS005)
  2. PF-JARA-SDS008 - Deep Image Data Analysis for Precision Medical Imaging (EXS-PF-JARA-SDS008) (EXS-PF-JARA-SDS008)
  3. ERS Prep Fund - Exploratory Research Space: Prep Fund als Anschubfinanzierung zur Schließung strategischer Lücken (EXS-PF) (EXS-PF)
  4. EXS - Excellence Strategy (EXS) (EXS)


Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
data medium, online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85127027018

Interne Identnummern
RWTH-2022-04420
Datensatz-ID: 845132

Beteiligte Länder
Germany, USA

 GO


Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;
Outlier Detection for Trajectories via Flow-embeddings
[10.48550/ARXIV.2111.13235]  GO arXiv   Download fulltextFulltext Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS


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The record appears in these collections:
Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Faculty of Mathematics, Computer Science and Natural Sciences (Fac.1) > Department of Computer Science
Public records
Publications database
120000
125230

 Record created 2022-04-30, last modified 2024-06-13



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